Dissertations / Theses on the topic 'Residential Building Energy'
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Wong, Chun-hung Samuel. "Opportunities for building energy conservation in Hong Kong (residential buildings) /." Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1873439X.
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Wong, Chun-hung Samuel, and 黃俊雄. "Opportunities for building energy conservation in Hong Kong (residential buildings)." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31253891.
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Balthazar, Edward John. "Residential building energy consumption and loss reduction methods." [Huntington, WV : Marshall University Libraries], 2008. http://www.marshall.edu/etd/descript.asp?ref=864.
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Thesis (M.S.)--Marshall University, 2008.Title from document title page. Includes abstract. Document formatted into pages: contains ix, 94 p. : ill. Includes bibliographical references (p. 90-91).
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Smith, Jonathan Y. (Jonathan York) 1979. "Building energy calculator : a design tool for energy analysis of residential buildings in Developing countries." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/27128.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 99-100).
Buildings are one of the world's largest consumers of energy, yet measures to reduce energy consumption are often ignored during the building design process. In developing countries, enormous numbers of new residential buildings are being constructed each year, and many of these buildings perform very poorly in terms of energy efficiency. One of the major barriers to better building designs is the lack of tools to aid architects during the preliminary design stages. In order to address the need for feedback about building energy use early in the design process, a model was developed and implemented as a software design tool using the C++ programming language. The new program requires a limited amount of input from the user and runs simulations to predict heating and cooling loads for residential buildings. The user interface was created with the architect in mind, and it results in direct graphical comparisons of the energy requirements for different building designs. The simulations run hour by hour for the entire year using measured weather data. They typically complete in less than two seconds, allowing for very fast comparisons of different scenarios. A set of simulations was run to perform a comparison between the new program and an existing tool called Energy-10. Overall, the loads predicted by the two programs were in good agreement.
by Jonathan Y. Smith.
S.M.
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Wickman, Carl-Göran. "Energy audit of a residential building renovated for 2050." Thesis, KTH, Energiteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175148.
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The largest contributing factor for human impact on global warming is the emission of greenhouse gasses, of which carbon dioxide (CO2) has the greatest consequences for the climate. Energy use in buildings is closely related to CO2 emissions from electricity and heat generation. An improvement of the energy efficiency of buildings would therefore have great impact on slowing down climate change and could also be economically beneficial for facility owners. In its Europe 2020 Strategy, the European Union has set itself three priorities for the year 2020; Smart, Sustainable and Inclusive growth, where sustainability addresses the issues of energy efficiency. The target is to reduce greenhouse gas emissions by at least 20% compared to 1990 levels; increase the share of renewable energy sources in our final energy consumption to 20%; and a 20% increase in energy efficiency. To promote energy-saving, cost-effective building solutions and attain a higher energy efficiency the European Union has created the Energy Performance of Buildings Directive (EPBD) and the Energy Efficiency Directive (EED), which both have been interpreted and incorporated into national legislation by the different member states of the EU. These directives and Swedish interpretations thereof are studied to investigate what impact they have on buildings in Sweden. Next, an Energy Performance Audit of the residential building Landsfogden 6 in the south of Stockholm was carried out. The results of that is that the energy performance of the building is 126 kWh/m2, which was surprising, given the recently executed substantial renovations, aiming at a 50% reduction in energy need. The only technical building system that has not been updated to a modern standard is the district heating substation. The system is old and oversized, both heat exchangers and pumps and valves, and the analysis shows that there is much to gain by installing a new substation. Fitted with an online control system and correctly adjusted, the energy use could decrease by 110 to 170 MWh/year, with the investment paid back in 2,5 years. Landsfogden 6 has been impacted by the Energy efficiency directive and the Energy performance of buildings directive as the decisions leading up to the renovations were directly connected first to the 20/20 goals of the Europe 2020 Strategy, but then decided upon aiming for the (possibly coming) Swedish goal for 2050, 50% higher energy efficiency.Den största bidragande orsaken till människans påverkan på den globala uppvärmningen är utsläppen av växthusgaser, varav koldioxid (CO2) har de största konsekvenserna för klimatet. Energianvändningen i byggnader är nära sammankopplat med CO2-utsläpp från el- och värmeproduktion. En förbättring av byggnaders energieffektivitet skulle därför få stort genomslag på bromsningen av klimatförändringarna och kuinde också vara ekonomiskt fördelaktigt för fastighetsägare. I sin tillväxtstrategi, Europa 2020, har den Europeiska unionen satt upp tre prioriteringar inför år 2020; Smart, Hållbar och Inkluderande tillväxt, där hållbarhet riktar in sig på energieffektivitetsfrågor. Målet är att reducera utsläppen av växthusgaser med minst 20% jämfört med 1990 års nivåer; öka andelen förnyelsebara energikällor för energianvändningen hos slutanvändare till 20%; samt en 20-procentig ökning i energieffektivitet. För att verka för energibesparande, kostnadseffektiva byggkonstruktioner och nå en högre enrgieffektivitet, har den Europeiska Unionen skapat direktiv om byggnaders energiprestanda och om energieffektivitet, vilka båda har tolkats och införlivats med nationell lagstiftning av de olika medlemsstaterna i EU. Dessa direktiv och de svenska tolkninigarna därav har studerats för att utreda vilken påverkan de har på byggnader i Sverige. Därnäst gjordes en energikartläggning av flerbostadshuset Landsfogden 6 i södra Stockholm. Resultatet av den var att byggnadens energiprestanda är 126 kWh/m2, vilket var överraskande i ljuset av den nyligen utförda väldigt omfattande renoveringen, med sikte på en 50-procentig sänkning av energibehovet. Det enda systemet som inte uppdaterats till modern standard är fjärrvärmeundercentralen. Den är gammal och överdimensionerad, både vad gäller värmeväxlare samt pumpar och ventiler och analysen visar att det finns mycket att vinna på att installera en ny undercentral. Utrustad med ett uppkopplat styrsystem och korrekt injusterat, skulle energianvändningen kunna sjunka med 110 till 170 MWh/år och investeringen vara återbetald på två år. Landsfogden 6 har på verkats av energieffektiviseringsdirektivet och energiprestandadirektivet på så sätt att de beslut som togs för renoveringarna var direkt kopplade först till 20/20-målen från Europa 2020-strategin, men att man sedan bestämde sig för att sikta på de (troligen kommande) svenska målen inför 2050, med 50% bättre energieffektivitet.
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Chan, Shihchien. "A new energy assessment method for residential buildings in Taipei." Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269284.
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Ghabra, Noura. "Energy efficient strategies for the building envelope of residential tall buildings in Saudi Arabia." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/51738/.
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The energy demand in the oil- dependent Gulf countries in general and in Saudi Arabia in particular has been increasing sharply in the last decades as a result of the diversification plans. Tall building construction, associated with many environmental and ecological challenges, played an essential role in these plans, as a mean to attract new economies based on global placemaking and international tourism. The significant use of air conditioning to cool indoor spaces, particularly in residential buildings, accounts for more than half of all energy consumption in the country, and despite governmental efforts, the scattered conservation efforts have been largely ineffective due to factors such as lack of awareness and information, in addition to the limitation of the local energy efficiency building regulations. This research aimed to find and prioritise building envelope design solutions that can reduce high energy consumption and cooling loads while maintaining indoor environment for residential tall buildings in Saudi Arabia. In order to achieve that, a hypothesis of integrating the thermal properties and design parameters of the building envelope as a design strategy for tall buildings envelope were proposed, and to test it, a mixed method approach was followed including literature review, data collection, dynamic building simulations and parametric analysis. The main findings emphasised how combining both the thermal properties and design parameters of the building envelope can be an effective way to achieve energy efficiency in residential tall buildings in the hot climate of Jeddah. Especially in relation to solar heat gains, the highest contributor to cooling loads in this building type. The findings highlighted that while the thermal properties of the wall type can reduce up to 10% of the cooling loads, applying external shading devices can achieve a reduction of up to 30% in solar gains. Moreover, effective consideration of building orientation can significantly reduce cooling loads by 25% and solar gains by 60% for the perimeter zones. Based on this, a set of guidelines that incorporate a comparative tool were introduced to help designers to determine the thermal performance and energy use of a typical residential tall building in the early stages of the building’s design. Which also aim to enhance the effectiveness of the local building codes and energy efficiency regulations in relation to this building type.
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Lasker, Wasim Jamil A. "The impact of construction and building materials on energy consumption on Saudi residential buildings." Thesis, Heriot-Watt University, 2016. http://hdl.handle.net/10399/3109.
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As a result of increasing population and buildings construction in Saudi Arabia, the demand for electricity is growing rapidly. There should be a greater focus on build-ings in the kingdom and several methods should be applied in order to reduce en-ergy consumption and create a lower carbon economy as residential buildings ac-count for about 70 percent of the total consumption. Saudi Arabia therefore ur-gently needs to develop residential buildings which use less energy and are more environmentally-friendly. This study investigates the recent situation of Saudi residential buildings in terms of energy and building materials, using case studies. The main aim of this study is to identify suitable strategies and propose a number of recommendations that are useful in developing residential buildings in the Kingdom of Saudi Arabia. This paper shows the importance of selecting the right, locally available, construc-tion materials for the external wall and thermal insulation in reducing energy con-sumption for the cooling load, by 59% after using the most appropriate construction materials for Saudi climate. Several methods were used in this research including IES energy simulation software in order to compare the most common external walls in the kingdom in terms of energy consumption and cooling load. Then, add-ing and selecting the right place for 0.50 m of polyurethane thermal insulation to the selected external wall to achieve the maximum reduction of cooling load. It uses the example of a typical Saudi house design provided by the Saudi ministry of housing in three main cities in the kingdom: Jeddah, Riyadh and Dammam. Fur-thermore, the paper discusses the challenges facing the kingdom of Saudi Arabia in recent years and those of the future, such as a lack of the awareness amongst the Saudi population, and a lack of building standards and regulations.
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Siemann, Michael. "Performance and applications of residential building energy grey-box models." Thesis, University of Maryland, College Park, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3587220.
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The electricity market is in need of a method to accurately predict how much peak load is removable by directly controlling residential thermostats. Utilities have been experimenting with residential demand response programs for the last decade, but inconsistent forecasting is preventing them from becoming a dependent electricity grid management tool. This dissertation documents the use of building energy models to forecast both general residential energy consumption and removable air conditioning loads.
In the models, complex buildings are represented as simple grey-box systems where the sensible energy of the entire indoor environment is balanced with the flow of energy through the envelope. When internet-connected thermostat and local weather data are inputs, twelve coefficients representing building parameters are used to non-dimensionalize the heat transfer equations governing this system. The model's performance was tested using 559 thermostats from 83 zip codes nationwide during both heating and cooling seasons. For this set, the average RMS error between the modeled and measured indoor air temperature was 0.44°C and the average daily ON time prediction was 1.9% higher than the data. When combined with smart power meter data from 250 homes in Houston, TX in the summer of 2012 these models outperformed the best traditional methods by 3.4 and 28.2% predicting daily and hourly energy consumption with RMS errors of 86 and 163 MWh. The second model that was developed used only smart meter and local weather data to predict loads. It operated by correlating an effective heat transfer metric to past energy data, and even further improvement forecasting loads were observed.
During a demand response trial with Earth Networks and CenterPoint Energy in the summer of 2012, 206 internet-connected thermostats were controlled to reduce peak loads by an average of 1.13 kW. The thermostat building energy models averaged forecasting the load in the 2 hours before, during, and after these demand response tests to within 5.9%. These building energy models were also applied to generate thermostat setpoint schedules that improved the energy efficiency of homes, disaggregate loads for home efficiency scorecards and remote energy audits, and as simulation tools to test schedule changes and hardware upgrades.
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Li, Ning. "Environmental Assessment of a Residential Building According to Miljöbyggnad." Thesis, Högskolan i Gävle, Avdelningen för bygg- energi- och miljöteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-19454.
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Miljöbyggnad is a Swedish system for certifying building in regarding to energy, indoor climate and materials. Energy usage in built environment occupies more than a third of total energy consumption and greenhouse gas emissions in Sweden (SEA, 2008). Among fifteen indicators regulated by Miljöbyggnad, four indicators which consist of specific energy use, thermal climate winter, thermal climate summer and daylight have been analyzed in this report. There has two objectives for the project. The first objective is to make optimized approaches for the building according to baseline simulation model. And the second objective is to make assessment of the optimized model based on Miljöbyggnad environmental certification. As a conclusion, the implemented approaches helped to improve indoor thermal comfort and decrease demand of operational electricity for lighting. The four analyzed indicator of the optimized model have achieved GOLD level according to criteria regulated by Miljöbyggnad.
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Masip-Sanchis, Ximo. "Energetic study of a residential building in Skutskär and savings proposal." Thesis, Högskolan i Gävle, Avdelningen för bygg- energi- och miljöteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-21665.
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This project consists on the Energy audit carried out on a residential building in Skutskär, property of the company Älvkarlebyhus, which is placed in the Älvkarleby municipality, belonging to Uppsala County in Sweden. The aim of the Energy audit is to obtain how much Energy is used, when is it used and how is it used. As well as the costs of the Energy use. The aim of the Energy audit also consists in reduces the Energy use applying efficiency measures. The audit carried out consist on identifying the heat losses and heat gains of the building, thus establishing an Energy balance that will reflect the Energy state of the building and finally propose some efficiency measures that could be applied. With this purpose, a strong method was developed in order to obtain as accurate results as possible. This method studies separately each component of the balance in order to get a better approach. The idea when working and present the results is to manage all the information in an easy way and present it in an easily understandable way for everyone, thus was used a spreadsheet. The expected results have been achieved; the difference between the heat losses and gains is of 0 MWh, which represents the balance 0 and all the values obtained are according to the experience values, which achieve the expected results. The total heat gain of the balance accounts for 1575,23 MWh. It is compounded by the District heating consumption which accounts 742,22 MWh that represents the 47 % of the heat gain and by the free heating which accounts for 832,79 MWh that represents the 53 %. The free heating is compounded by solar radiation which accounts for 643,36 MWh representing 41 % and for Internal heating which accounts for 189,43 MWh that represents 12 %. The total heat loss of the balance accounts for 1575,23 MWh. It is compounded by transmission losses which accounts for 875,46 MWh that represents 56 %, mechanical ventilation which accounts for 369,89 MWh that represents the 23 %, natural ventilation which account for 182,88 MWh that represents 12 % and hot tap water which account for 147 and represents 9 %. The efficiency measures will improve the Energy use in the buildings; especially in the cases were the Energy usage is too high, as in the case of transmission losses. Thus, the efficiency measures will be proposed mainly to alleviate the high values but also to improve other inefficient uses of the Energy. There are some efficiency measures proposed for every component of the balance and there is also some recommendation for the company in order to implement the most attractive ones, taking into account its profitability. These measures are only proposed and not studied deeply because of the main limitation of this thesis. Therefore, it is recommended to continue the study in order to examine and analyse deeply each measure, according to the energetic survey already done.
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Kelly, Scott. "Decarbonising the English residential sector : modelling policies, technologies and behaviour within a heterogeneous building stock." Thesis, University of Cambridge, 2013. https://www.repository.cam.ac.uk/handle/1810/244708.
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The residential sector in England is often identified as having the largest potential for emissions reduction at some of the lowest costs when compared against other sectors. In spite of this, decarbonisation within the residential sector has not materialised. This thesis explores the complexities of decarbonising the residential sector in England using a whole systems approach. It is only when the interaction between social, psychological, regulatory, technical, material and economic factors are considered together that the behaviour of the system emerges and the relationships between different system components can be explained giving insight into the underlying issues of decarbonisation. Building regulations, assessments and certification standards are critical for motivating and driving innovation towards decarbonising the building stock. Many existing building performance and evaluation tools are shown to be ineffective and confound different policy objectives. Not only is the existing UK SAP standard shown to be a poor predictor of dwelling level energy demand but it perversely incentivises households to increase CO2 emissions. At the dwelling level, a structural equation model is developed to quantify direct, indirect and total effects on residential energy demand. Interestingly, building efficiency is shown to have reciprocal causality with a household’s propensity to consume energy. That is, dwellings with high-energy efficiency consume less energy, but homes with a propensity to consume more energy are also more likely to have higher energy efficiency. Internal dwelling temperature is one of the most important parameters for explaining residential energy demand over a heterogeneous building stock. Yet bottom up energy demand models inadequately incorporate internal temperature as a function of human behaviour. A panel model is developed to predict daily mean internal temperatures from individual dwellings. In this model, socio-demographic, behavioural, physical and environmental variables are combined to estimate the daily fluctuations of mean internal temperature demand. The internal temperature prediction model is then incorporated in a bottom-up engineering simulation model. The residential energy demand model is then used to project decarbonisation scenarios to 2050. Under the assumption of consistent energy demand fuel share allocation, modelling results suggest that emissions from the residential sector can be reduced from 125 MtCO2 to 44 MtCO2 after all major energy efficiency measures have been applied, the power sector is decarbonised and all newly constructed dwellings are zero carbon. Meeting future climate change targets will thus not only require extensive energy efficiency upgrades to all existing dwellings but also the complete decarbonisation of end use energy demand. Such a challenge can only be met through the transformation of existing building regulations, models that properly allow for the effects of human behaviour, and flexible policies capable of maximising impact from a heterogeneous residential building stock.
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Quigley, Ella S. "The energy and thermal performance of UK modular residential buildings." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/25127.
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This research concerns the in-use performance of light-gauge steel modular construction used for residential purposes. The aim was to investigate ways to reduce the in-use energy consumption of new buildings, while ensuring thermal comfort. Data were collected from two case study buildings in the UK, one in Loughborough and the other in London, using a variety of methods including building measurement, building monitoring, inspections, and a detailed review of the construction documentation. The case study buildings were monitored using EnOcean enabled wireless sensor networks and standalone temperature sensors. Monitoring data included electricity consumption in individual rooms, often by end use, space heating use, internal temperature and relative humidity, and external temperature. Building measurements included blower door tests to measure fabric air leakage rates, infrared thermal imaging to identify fabric defects and weaknesses, and ventilation system flowrate measurements. Inspections and the review of documentation allowed problems with design, manufacture and construction to be identified. A particular concern for thermally lightweight construction is the risk of overheating, therefore overheating analyses were undertaken. The research identified weaknesses in the design, construction and operation of the case study buildings resulting in increased energy use and poor thermal comfort, particularly overheating. The modular construction studied requires specific design changes to improve the fabric and building services, in order to reduce energy use. There are also specific recommendations for quality control on site to ensure critical stages are correctly completed, such as installing rigid insulation. There are also more general recommendations for how a company operates because this can influence performance; there ought to be greater attention to holistic design and greater collaboration with suppliers and contractors to determine robust solutions. Overheating was a problem in the London case study, and more research is required to understand the scale of the problem. Avoidance of overheating must be a focus in the design of new buildings. The findings suggest that once the problems with the design and quality control on site are rectified, offsite modular construction can be used to consistently and reliably provide low energy homes.
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Karaguzel, Omer Tugrul. "The Effects Of Passive Solar Energy Systems On The Thermal Performance Of Residential Buildings." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/4/1104900/index.pdf.
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The aim of this study was to investigate the effects of windows and building
envelope materials on the thermal performance of residential buildings, for
the climatic conditions of Ankara.
The effects of the thermal mass of the building envelope, together with the
effects of glazing type and shading conditions of south-facing windows on
thermal performance were investigated using two computer-based thermal
analysis programs called: ECOTECT 5.0 and ENERGY-10. The
hypothetical building model used for computer simulations was based on the
sample residential building defined in the Turkish Standards on the
Regulations for Building Insulation, TSE 825, as prepared by the Türk Standartlari Enstitü
sü
(TSE, Turkish Standards Institute). Simulation studies were first conducted with ECOTECT 5.0, but since the results did not conform to earlier researches and, since this discrepancy could not be explained even by the support forum prepared by the authors of this software, it was decided to continue the simulations with ENERGY-10, which proved to be more consistent. The results of 240 program runs of ENERGY- 10 were explained through graphical and statistical analysis on the basis of annual heating, cooling, and total energy needs of the building model. The study showed that building envelope materials having high thermal storage capacities together with high-performance glazing, in terms of increased thermal resistance, provided significant energy savings, which could be augmented by increasing the size of south-facing windows. The study also revealed that shading devices in the form of fixed overhangs applied to a south-facing window of any size did not provide substantial reductions in the energy demands of residential buildings, when annual total energy demands were considered for the climatic conditions of Ankara.
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Arrese, Foruria Ander. "Analysis of a Low Energy Building with District Heating and Higher Energy Use than Expected." Thesis, Högskolan i Gävle, Avdelningen för bygg- energi- och miljöteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-21738.
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In this thesis project, a building in Vegagatan 12, Gävle has been analysed. The main objective has been to find why it consumes more energy than it was expected and to solve theoretically the problems.This building is a low energy building certified by Miljöbyggnad which should use less than 55kWh/m2 year and nowadays it is using 62.23 kWh/m2. In order to find why the building is using more energy than the expected several different things has been measured and analyzed.First of all, the heat exchanger of the ventilation unit has been theoretically examined to see if it works as it should and it does. This has been done using the definition of the heat exchangers.Secondly, the heating system has been analysed by measuring the internal temperature of the building and high temperatures have been found (around 22°C) in the apartments and in the corridors. This leads to 5-10% more use of energy per degree.Thirdly, the position and the necessity of all the heaters have been checked. One of the heaters may not make sense, at least in the way the building has been constructed. This leads to bigger heating needs than the expected.Fourthly, the taps and shower heads have been checked to see if they were efficient. Efficient taps and shower heads, reduce the hot water use up to 40%. The result of this analysis has been that all taps and shower heads are efficient.Fifthly, the hot water system has been studied and some heat losses have been found because the lack of insulation of several pipes. Because of this fact 8.37kWh/m2 are lost per year. This analysis has been carried out with the help of an infra red camera and a TA SCOPE.Sixthly, the theoretical and real U values of the different walls have been obtained and compared (concrete and brick walls). As a conclusion, the concrete wall has been well constructed but, the brick wall has not been well constructed. Because of this fact 1 kWh/m2 of heat are lost every year. Apart from that, windows and thermal bridges have also been checked.
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Ma, Yizheng. "PHOTOVOLTAIC ENERGY POTENTIAL FOR NON- RESIDENTIAL BUILDINGS IN VISBY." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448444.
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Gotland is a pilot area for Sweden to achieve carbon neutrality, which means that achieve a 100% sustainable energy supply is significant for Gotland energy development. Gotland has good sunshine conditions and solar radiation, but the development of solar energy is relatively slow. In order to prove that Visby, the largest city in Gotland, has good solar energy potential, this paper aims to investigate the PV potential for non-residential buildings in Visby by modelling the installation of roof solar panels on representative non- residential buildings (Visby Galleria, surrounding buildings in Stenhuggarvägen) through quantitative research methods. From the final result of the modelling, the solar energy potential per square meter of Visby's non-residential buildings is 121kWh, and the total solar electricity generation potential is 708 GWh. The research results show that Visby's non-residential buildings have high solar power potential, and it can be used as one of the methods to achieve a 100% sustainable energy supply.
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Allard, Ingrid. "Achieving building energy performance : requirements and evaluation methods for residential buildings in Sweden, Norway, and Finland." Licentiate thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-103749.
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Building energy performance has always been important in the cold climate of Sweden, Norway and Finland. To meet the goal that all new buildings should be nearly zero-energy buildings by 2020, set in the EU directive 2010/31/EU [1] on the energy performance of buildings (EPBD recast), the building sector in Europe now faces a transition towards buildings with improved energy performance. In such a transition, a discussion is needed about the objective of the improvement – why, or to what end, the building energy performance should be improved. The objective of improving building energy performance is often a political decision, but scientific research can contribute with knowledge on how the objectives can be achieved. This thesis addresses how the indicators used in the requirements used to achieve building energy performance in Sweden, Norway, and Finland, and the methods used to evaluate these requirements, reflect building energy performance. It also addresses difficulties in achieving comparable and verifiable indicators in evaluations of building energy performance. The research objective has two parts: to review, compare, and discuss (i) requirements and (ii) evaluation methods used to achieve energy performance of residential buildings in Sweden, Norway and Finland. The work in this thesis includes reviews of the requirements used in national building codes and passive house criteria to achieve building energy performance, of methods used to evaluate compliance with such requirements, and of methods used specifically to evaluate the indicator Envelope Air Tightness. The results show that different sets of indicators are used to achieve building energy performance in the studied building codes and passive house criteria. The methods used to evaluate compliance with requirements used to achieve building energy performance are also different, but calculation methods are generally more often used than measurement methods. The calculation- and measurement methods used are often simple. A methodology to analyze the deviation between predictions- and measurements of building energy performance (the performance gap) was developed, to investigate the effects of different evaluation methods on different indicators used to achieve building energy performance. The methodology was tested in a case-study. This study indicated that the choice of method affects which parts of the performance gap reflected in the indicators Supplied Energy (see Terminology), Net Energy (see Terminology), and Overall U-value. Among the reviewed methods to evaluate air tightness, the Fan/Blower Door Pressurization is well known and preferred by professionals in the field. The results in this thesis may be useful when choosing indicators and evaluation methods to achieve different objectives of improving building energy performance and in the quest towards comparable and verifiable indicators used to achieve building energy performance.Increasing Energy Efficiency in Buildings (IEEB)
Sustainable Buildings for the High North (SBHN)
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Langley, Tyler. "Transportation Energy Analysis for Single-Family Residential Construction in California." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/409.
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Transportation Energy Analysis for Single-Family Residential Construction in California
Tyler Langley
Since the oil crisis of 1973, energy use in the United States of America has been a growing area of concern. Studies have shown that the construction industry is responsible for almost half of all annual energy consumption. With this awareness, the analysis of energy use within the related construction fields has become an emergent subject. One facet of construction energy use that has been less studied than others is that of the energy consumed in transporting building materials from manufacturing plants to construction sites. This thesis proposes a methodology for determining the energy consumed during the transportation of building materials to a construction site and applies this methodology to estimate the transportation component of the total energy consumed in the lifecycle of a residential building in California. Comparisons are then drawn among the embodied energy of the materials used in the construction of the building, the energy used to transport the materials and the products used in the on-site assembly of the building, and the energy consumed during the occupancy of the building.
The first chapter covers the intent of the thesis, as well as a categorization and explanation of the main areas of energy usage in the construction industry. This is followed by a delineation of the methodology used to research transportation energy. Chapter 2 details the development of the framework that is discussed in Chapter 1. This includes the unique problem areas of calculating transportation energy, the resulting parameters that focus the area of study, and the general assumptions derived from those parameters. Chapter 3 is a case study of a single-family two-story house in northern California. First, the considerations and reasons for the choice are defined, establishing this as a representative residence for the area. The material choices and structural system choices are also discussed. Then, the framework introduced in Chapter 2 is applied in the case study. This introduces more case-specific problems in the types of calculations used for estimating transportation energy. Chapter 4 contains a summary of the findings as well as a reflection on the process followed by suggestions for future research and application for the subject of transportation energy usage. In this summary, it is shown that the energy used in transportation of materials to the site of the case study house amounts to 10.5 million Btu, which is roughly 2.5% of the embodied energy, and 21% of the occupational energy usage per year.
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Moya, Jaraba Ricardo. "RESIDENTIAL BUILDING ENERGY SURVEY ANDIMPROVEMENT PROPOSAL : HEAT STUDY AND IMPROVENT OF RESIDENTIALBUILDINGS." Thesis, Högskolan i Gävle, Avdelningen för bygg- energi- och miljöteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-7877.
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Spindler, Henry C. (Henry Carlton) 1970. "Residential building energy analysis : development and uncertainty assessment of a simplified model." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/70305.
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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1998.Includes bibliographical references (p. 163-165).
Effective design of energy-efficient buildings requires attention to energy issues during the preliminary stages of design. To aid in the early consideration of a building's future energy usage, a simplified building energy analysis model was developed. Using this model, a new computer program was written in C/C++ to calculate annual heat and cooling loads for residential buildings and to provide information about the relative importance of load contributions from the different building components. Estimates were made regarding the uncertainties of parameter inputs to the model, such as material properties, heat transfer coefficients and infiltration rates. The new computer program was used to determine the sensitivity of annual heat and cooling loads to model input uncertainties. From the results of these sensitivity studies, it was estimated that the overall uncertainties in the annual sensible heat and cooling load predictions amount to approximately ±30% and ±40%, respectively, for two buildings studied in Boston, Massachusetts. Further model simplification techniques were implemented that reduced annual load calculation times on a 180 MHz computer to about 8 and 12 seconds for a lightweight and massive building, respectively. The error introduced by these simplifications was approximately 4% and 10% for the annual sensible heat and cooling loads, well below the overall uncertainties in the load predictions. Comparison studies were performed with this new computer program and Energy-10. Overall, good agreement between the programs' annual load predictions was found.
by Henry C. Spindler.
M.S.
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Zalejska-Jonsson, Agnieszka. "In the Business of Building Green : The value of low-energy residential buildings from customer and developer perspectives." Doctoral thesis, KTH, Bygg- och fastighetsekonomi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-131375.
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An overarching aim of this research was to investigate the comprehensive value of green residential buildings as seen from two perspectives: that of the developer and that of the occupant (the customer). The dissertation consists of studies presented in seven papers. The studies conducted to investigate the developer’s perspective focused on construction cost and potential profit (papers I and VII). The customer’s perspective was examined with three approaches: the impact that energy and environment have on the decision to purchase (or rent) an apartment (paper V), willingness to pay for a green apartment (paper VI) and finally, the occupants’ satisfaction with the dwelling and indoor environment (papers II, III and IV). The first paper examines whether increased investment costs are profitable, taking into account the reduction in operating costs. The investment viability is approached by comparing investment in conventional and green residential building, particularly passive houses, using real construction and post-occupancy conditions. The increased investment costs in energy-efficient building were also the focus of paper VII. In this paper, the aim was to study how technologies used in energy-efficient residential building construction affect the available saleable floor area and how this impacts on the profitability of the investment. Potential losses and gains of saleable floor area in energy-efficient buildings were assessed using a modelled building and analysed with the help of the average construction cost. Papers II and IV present results from a study of occupants’ satisfaction and indoor environmental qualities. Both papers aim at comparing and analysing responses from occupants living in green and conventional buildings. Paper III focuses on a similar subject, but investigates occupants’ satisfaction among all adults living in multi-family buildings in Sweden, providing a national context for the results presented in papers II and IV. The results indicate that occupants are generally satisfied with their dwellings, but indoor environment proved to have a statistically significant effect on overall satisfaction. The results in paper V indicate that energy and environmental factors have a minor impact on customers’ decision to purchase or rent an apartment. However, availability of information on building energy and environmental performance may have an effect on the likelihood of the buyers’ being interested in environmental qualities and consequently an impact on their decision. The study presented in paper VI shows that customer interest in energy and environmental factors has a significant impact on stated willingness to pay for green dwellings. The paper discusses the stated willingness to pay for low-energy buildings and buildings with an environmental certificate and attempts to assess the rationale of the stated willingness to pay for low-energy dwellings given potential energy savings.Fokus i detta forskningsprojekt har legat på att undersöka värdet av gröna bostäder ur ett brett perspektiv, dvs både genom att studera byggherrens och de boendes (kundens) synpunkter. I avhandlingen ingår sju uppsatser. Undersökningen av byggherrens synpunkter fokuserades på kostnader och potentiella inkomster (uppsats I och VII). Kundernas åsikter undersöktes på tre olika sätt: vilken effekt energi och miljö faktorer hade på beslut att köpa eller hyra en lägenhet (uppsats V), betalningsvilja för gröna bostäder (uppsats VI) och slutligen de boendes trivsel samt nöjdhet med inomhusmiljön (uppsats II,III och IV). Den första uppsatsen syftar till att undersöka om ökningen av investeringskostnader vid byggande av gröna byggnader kan täckas av framtida energibesparingar och minskning av driftkostnad. Investeringens lönsamhet undersöktes genom att jämföra skillnader i byggkostnader mellan konventionella och gröna bostäder med skillnader i driftskostnader givet olika antaganden om energipriser och räntekrav. Huvudfokus i uppsats VII var också byggkostnader, men denna gång undersöktes hur nya tekniska lösningar påverkar boarea och lönsamhet av energieffektiva bostäder. Genom att konstruera en modell av ett typhus analyserades potentiella ökningar i boarea med nya lösningar och hur detta påverkade lönsamheten i olika geografiska lägen (prisnivåer). Uppsatserna II och IV presenterar resultat från boendeundersökningar. Båda uppsatserna syftar till att undersöka boendes trivsel och nöjdhet med inomhusmiljö samt att testa skillnaden i svar från boende i gröna och konventionella bostäder. Uppsats III fokuserar också på inomhusmiljön, men analysen gjordes på svaren som samlades in under Boverkets projekt BETSI och resultaten är därmed representativa för alla vuxna som bor i flerfamiljshus i Sverige. Uppsats III ger därmed en national kontext för uppsatserna II och IV. Resultaten visar att boende trivs i sina bostäder, men inomhusmiljön har en statistiks signifikanta effekt på allmän nöjdhet faktor.. Resultaten i uppsats V tyder på att energi- och miljöaspekter spelar mindre roll i beslutet att köpa eller hyra en lägenhet. Den synliga informationens tillgänglighet angående byggnadens energi- och miljöprestanda, påverkar kundens intresse för dessa faktorer och därmed indirekt hushållets beslut. Resultaten i uppsats VI pekar på att kunderna, som är intresserade av byggnaders energi och miljö prestanda, är villiga att betala mer för gröna bostäder. I uppsats 6 diskuteras betalningsvilja för låg-energi byggnader och för byggnader med miljöcertifikat samt utvärderas om den angivna betalningsviljan är rationell beslut när man tar hänsyn till nuvärdet av framtida energibesparingar.
QC 20131014
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Knuth, Cody William. "A case study in whole building energy modeling with practical applications for residential construction." Kansas State University, 2012. http://hdl.handle.net/2097/15052.
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Master of ScienceDepartment of Architectural Engineering
Charles L. Burton
An energy analysis was performed on a Midwestern residence to evaluate its performance based on energy use. A model of the actual house was replicated using eQuest and adjusted until its projected utility bills matched the actual yearly bills. This model was used to gauge how potential improvements made to the envelope and HVAC systems lowered the energy use. The results were documented after each improvement the feasible options were considered. The top alternatives were then combined to see how much money could be saved through renovating an existing home or through constructing a new residence. The overall goal of this report was to use the resulting improvement data as a reference for homeowners or home builders who are interested in conserving energy and money through residential improvements.
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Kumirai, Tichaona. "Energy efficiency interventions for residential buildings in Bloemfontein using passive energy techniques." Thesis, Bloemfontein : Central University of Technology, Free State, 2010. http://hdl.handle.net/11462/124.
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Thesis (M. Tech. (Mech. Eng.)) -- Central University of Technology, Free state, 2010The purpose of this research is to minimize the use of active systems in providing thermal comfort in single-family detached, middle to high income residential buildings in Bloemfontein. The typical case study house was selected according to the criteria as reviewed by Mathews et al., (1999). Measurements were taken for seven days (18 – 24 May 2009). The measurements were carried out in the winter period for Bloemfontein, South Africa. Ecolog TH1, humidity and temperature data logger was used in doing the measurements. These measurements included indoor temperatures and indoor relative humidity. Temperature swings of 8.43 ºC and thermal lag of 1 hour were observed. For the period of seven days (168 hours), the house was thermally comfortable for 84 hours. Thermal analysis for the base case house was done using Ecotect™ (building analysis software) and the simulated results were compared with the measured results. A mean bias error (MBE) of between 10.3% ≤≤11.5% was obtained on the initial calibration. The final calibration of the model yielded error between0.364% ≤≤0.365%. The final calibration model which presented a small error was adopted as the base case. Passive strategies were incorporated to the Ecotect™ model (final calibrated model) singly and in combination; then both thermal and space load simulations were obtained and compared to simulations from the original situation (base case) for assessing improvements in terms of thermal comfort and heating, ventilation and air conditioning (HVAC) energy consumption. Annual HVAC electricity savings of up to 55.2 % were obtained from incorporating passive strategies in combination. Incorporating passive strategies resulted in small improvements in thermal comfort.
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Wang, Qian. "Toward Industrialized Retrofitting : Accelerating the Transformation of the Residential Building Stock in Sweden." Licentiate thesis, KTH, Installationsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-133994.
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Energy utilization issues are becoming increasingly important around the world. Existing residential and building service sectors represent a large part of total energy utilization, and the corresponding operational costs and environmental impacts are high. Retrofitting is considered an effective way to accelerate the sustainable transformation of the existing building stock. In Sweden, 1945–1975 was a boom period for the construction of residential buildings. After 40–70 years of use, large contingents of buildings need to be systematically retrofitted. In the past, most Swedish buildings were retrofitted individually, and occasionally in small clusters. Cost-effective retrofitting for large-scale implementation has not yet been substantially attained. Standardizing and industrializing the retrofitting process is expected to produce the following benefits: availability of standardized toolkits based on building typologies; simplified and more efficient decision-making process; lower retrofitting costs; shorter project durations; greater resource-efficiency; lower environmental impact; and higher profitability.The overall aim of the present study is to contribute to the knowledge regarding industrialized retrofitting toolkits in Swedish residential buildings and evaluate the various toolkits. More specifically, the study aims to analyze the energy demand saving potential of different retrofitting measures and long-term profits based on the typology of residential buildings. Based on a systematic set of building properties and classification of existing residential types in Sweden, four slab houses (lamellhus) were selected as the major sub-types of building stock for the demonstration cases. The case buildings were constructed between 1945 and 1975 and are currently used as single-family houses, multi-family houses, or apartment blocks. The main approaches applied to model the retrofitting profits were Consolis Energy +, parametric-based sensitivity analysis, and life-cycle-based economic assessment.Based on the theoretical modeling and analytical results from the case studies, it was found that the energy-saving potential is strongly dominated by the building type, which affects the design of retrofitting toolkits and defines life cycle costs. The results show that improving the efficiency of heat recovery in exhaust ventilation systems is an effective retrofitting measure for energy demand savings in the studied building types. However, the efficiency of other measures is highly dependent on the typology of the buildings. From an economic perspective, toolkits that include all of the possible retrofitting measures may not lead to larger expected reduction in LCC compared to standard retrofits that only include the most sensitive parameters. In addition, the impacts of energy price changes to the LCC in the future are highly diverse in different types of residential buildings. Developing systematic retrofitting guidelines for Swedish residential buildings requires both further research and a close collaboration between all stakeholders involved in the retrofitting process.QC 20131118
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Abedin, Joynal. "Thermal energy storage in residential buildings : a study of the benefits and impacts." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/25520.
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Residential space and water heating accounts for around 13% of the greenhouse gas emissions of the UK. Reducing this is essential for meeting the national emission reduction target of 80% by 2050 from the 1990 baseline. One of the strategies adopted for achieving this is focused around large scale shift towards electrical heating. This could lead to unsustainable disparity between the daily peak and off-peak electricity loads, large seasonal variation in electricity demands, and challenges of matching the short and long term supply with the demands. These challenges could impact the security and resilience of UK electricity supply, and needs to be addressed. Rechargeable Thermal Energy Storage (TES) in residential buildings can help overcome these challenges by enabling Heat Demand Shifts (HDS) to off-peak times, reducing the magnitude of the peak loads, and the difference between the peak and off-peak loads. To be effective a wide scale uptake of TES would be needed. For this to happen, the benefits and impacts of TES both for the demand side and the supply side have to be explored, which could vary considerably given the diverse physical, thermal, operational and occupancy characteristics of the UK housing stock. A greater understanding of the potential consequence of TES in buildings is necessary. Such knowledge could enable appropriate policy development to help drive the uptake of TES or to encourage development of alternative solutions. Through dynamic building simulation in TRNSYS, this work generated predictions of the space and water heating energy and power demands, and indoor temperature characteristics of the UK housing stock. Twelve building archetypes were created consisting of: Detached, semi-detached, mid-terrace and flat built forms with thermal insulation corresponding to the 1990 building regulation, and occupied floor areas of 70m2, 90m2 and 150m2. Typical occupancy and operational conditions were used to create twelve Base Case scenarios, and simulations performed for 60 winter days from 2nd January. HDS of 2, 3 and 4 hours from the grid peak time of 17:00 were simulated with sensible TES system sizes of 0.25m3, 0.5m3 and 0.75m3, and water storage temperatures of 75°C and 95°C. Parametric analysis were performed to determine the impacts and benefits of: thermal insulation equivalent to 1980, 1990 (Base Case), 2002 and 2010 building regulation; locations of Gatwick (Base Case) and Aberdeen; heating durations of 6, 9 (Base Case), 12 and 16 hours per day; thermostat settings of 19°C, 21°C (Base Case) and 23°C, and number of occupiers of 1 person and 3 persons (Base Case) per household. Good correlation was observed between the simulated results and published heat energy consumption data for buildings with similar thermal, physical, occupancy and operational conditions. The results allowed occupied space temperatures and overall daily and grid peak time energy consumption to be predicted for the range of building archetypes and parameter values considered, and the TES size necessary for a desired HDS to be determined. The main conclusions drawn include: The overall daily energy consumption predictions varied from 36.8kWh to 159.7kWh. During the critical grid peak time (17:00 to 21:00) the heat consumption varied from 4.2kWh to 58.7kWh, indicating the range of energy demands which could be shifted to off-peak times. On average, semi-detached, mid-terrace, and flat built forms consumed 7.0%, 13.8% and 22.7% less energy for space heating than the detached built form respectively. Thermal insulation changing from the 1990 building regulation level to the 1980 and 2010 building regulation levels could change the mean energy use by +14.7% and -19.6% respectively. A 0.25m3 TES size with 75°C water storage temperature could enable a 2 hour HDS, shifting 4.3kWh to 11.7kWh (mean 8.7kWh) to off peak times, in all 70m2 Base Case archetypes with the 60 day mean thermal comfort of 100%, but with the minimum space temperature occasionally dropping below an 18°C thermal comfort limit. A 0.5m3 TES size and water storage of 95°C could allow a 3 hour HDS, shifting 9.8kWh to 28.2kWh (mean 18.7kWh) to off peak times, in all 90m2 Base Case archetypes without thermal comfort degradation below 18°C. A 0.75m3 TES with a 95°C water temperature could provide 4 hour HDS, shifting 13.9kWh to 47.7kWh (mean 27.2kWh) to off peak times, in all 150m2 Base Case archetypes with 100% mean thermal comfort but with the 60 day minimum temperature occasionally dropping below the 18°C thermal comfort limit in the detached built form. Improving the thermal insulation of the buildings was found to be the best way to improve the effectiveness of HDS with TES, in terms of the demand shift period achievable with minimal thermal comfort impact. A 4 hour HDS with 100% thermal comfort is possible in all 90m2 floor area buildings with a 0.25m3 tank and a water storage temperature of 75°C provided that the thermal insulation is as per 2010 building regulation. Recommendations for further research include: 1) creating larger number of archetype models to reflect the housing stock; 2) using heat pumps as the heat source so that the mean effect on the grid from electric heating loads can be predicted; 3) taking into account the costs associated with taking up HDS with TES, in terms of capital expenses and space requirement for housing the TES system; 4) considering alternative methods of heat storage such as latent heat storage to enhance the storage capacity per unit volume; and 5) incorporating zonal temperature control, for example, only heating rooms that are occupied during the demand shift period, which could ensure better thermal comfort in the occupied space and extend the demand shift period.
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Field, Kristin Marcella. "Effects of variations in occupant behavior on residential building net zero energy performance." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1447693.
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Sharifani, Pooya. "Quantification of Human Thermal Comfort for Residential Building's Energy Saving." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862744/.
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Providing conditioned and fully controlled room is the final goal for having a comfortable building. But on the other hand making smart controllers to provide the required cooling or heating load depending on occupants' real time feeling is necessary. This study has emphasized on finding a meaningful and steady state parameter in human body that can be interpreted as comfort criterion which can be expressed as the general occupants' sensation through their ambient temperature. There are lots of researches on human physiological behavior in different situations and also different body parts reaction to the same ambient situation. Body parts which have the biggest reliable linear fluctuation to the changes are the best subject for this research. For these tests, wrist and palm have been selected and their temperatures on different people have been measured accurately with thermal camera to follow the temperature trend on various comfort levels. It is found that each person reaches to his own unique temperature on these two spots, when he/ she feels comfortable, or in other word each person's body temperature is a precise nominate for comfort feeling of that individual. So in future by having this unique comfort parameter and applying them to the HVAC system temperature control, controlling the dynamic temperature and correlating the indoor condition depending on the occupants instant thermal comfort level, would be a rational choice to bring convenience while energy has been saved more.
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Tettey, Uniben Yao Ayikoe. "Primary energy use of residential buildings : implications of materials, modelling and design approaches." Doctoral thesis, Linnéuniversitetet, Institutionen för byggd miljö och energiteknik (BET), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-61470.
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Buildings can play an essential role in the transition to a sustainable society. Different strategies, including improved energy efficiency in buildings, substitution of carbon intensive materials and fuels, efficient energy supply among others can be employed for this purpose. In this thesis, the implications of different insulation materials, modelling and design strategies on primary energy use of residential buildings are studied using life cycle and system perspective. Specifically, the effects of different insulation materials on production primary energy and CO2 emission of buildings with different energy performance are analysed. The results show that application of extra insulation materials to building envelope components reduces the operating primary energy use but more primary energy is required for the insulation material production. This also slightly increases the CO2 emissions from material production. The increases in primary energy use and CO2 emissions are mainly due to the variations in the quantities, types and manufacturing processes of the insulation materials. Thus, choice of renewable based materials with energy efficient manufacturing is important to reduce primary energy use and GHG emissions for building material production. Uncertainties related to building modelling input parameters and assumptions and how they influence energy balance calculations of residential buildings are explored. The implications on energy savings of different energy efficiency measures are also studied. The results show that input data and assumptions used for energy balance simulations of buildings vary widely in the Swedish context giving significant differences in calculated energy demand for buildings. Among the considered parameters, indoor air temperature, internal heat gains and efficiency of ventilation heat recovery (VHR) have significant impacts on the simulated building energy performance as well as on the energy efficiency measures. The impact of parameter interactions on calculated space heating of buildings is rather small but increases with more parameter combinations and more energy efficient buildings. Detailed energy characterisation of household equipment and technical installations used in a building is essential to accurately calculate the energy demand, particularly for a low energy building. The design and construction of new buildings present many possibilities to minimise both heating and cooling demands over the lifecycle of buildings, and also in the context of climate change. Various design strategies and measures are analysed for buildings with different energy performance under different climate scenarios. These include household equipment and technical installations based on best available technology, bypassing the VHR unit, solar shading of windows, combinations of window u- and g-values, different proportions of glazed window areas and façade orientations and mechanical cooling. The results show that space heating and cooling demands vary significantly with the energy performance of buildings as well as climate scenarios. Space heating demand decreases while space cooling demand and the risk of overheating increase considerably with warmer climate. The space cooling demand and overheating risk are more significant for buildings with higher energy performance. Significant reductions are achieved in the operation final energy demands and overheating is avoided or greatly reduced when different design strategies and measures are implemented cumulatively under different climate change scenarios. The primary energy efficiency of heat supply systems depends on the heat production technology and type of fuel use. Analysis of the interaction between different design strategies and heat supply options shows that the combination of design strategies giving the lowest primary energy use for space heating and cooling varies between heat supply from district heating with combined heat and power (CHP) and heat only boilers (HOB). The primary energy use for space heating is significantly lower when the heat supply is from CHP rather than HOB. Operation primary energy use is significantly reduced with slight increase in production primary energy when the design strategies are implemented. The results suggest that significant primary energy reductions are achievable under climate change, if new buildings are designed with appropriate strategies.
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Akbari, Keramatollah. "Simulation of Indoor Radon and Energy Recovery Ventilation Systems in Residential Buildings." Doctoral thesis, Mälardalens högskola, Framtidens energi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-29274.
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This study aims to investigate the effects of ventilation rate, indoor air temperature, humidity and using a heat recovery ventilation system on indoor radon concentration and distribution. Methods employed include energy dynamic and computational fluid dynamics simulation, experimental measurement and analytical investigations. Experimental investigations primarily utilize a continuous radon meter and a detached house equipped with a recovery heat exchanger unit. The results of the dynamic simulation show that the heat recovery unit is cost-effective for the cold Swedish climate and an energy saving of about 30 kWh per floor area per year is possible, while it can be also used to lower radon level. The numerical results showed that ventilation rate and ventilation location have significant impacts on both radon content and distribution, whereas indoor air temperature only has a small effect on radon level and distribution and humidity has no impact on radon level but has a small impact on its distribution.
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Lindblom, Ellen, and Isabelle Almquist. "Data-Driven Predictions of Heating Energy Savings in Residential Buildings." Thesis, Uppsala universitet, Byggteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-387395.
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Along with the increasing use of intermittent electricity sources, such as wind and sun, comes a growing demand for user flexibility. This has paved the way for a new market of services that provide electricity customers with energy saving solutions. These include a variety of techniques ranging from sophisticated control of the customers’ home equipment to information on how to adjust their consumption behavior in order to save energy. This master thesis work contributes further to this field by investigating an additional incentive; predictions of future energy savings related to indoor temperature. Five different machine learning models have been tuned and used to predict monthly heating energy consumption for a given set of homes. The model tuning process and performance evaluation were performed using 10-fold cross validation. The best performing model was then used to predict how much heating energy each individual household could save by decreasing their indoor temperature by 1°C during the heating season. The highest prediction accuracy (of about 78%) is achieved with support vector regression (SVR), closely followed by neural networks (NN). The simpler regression models that have been implemented are, however, not far behind. According to the SVR model, the average household is expected to lower their heating energy consumption by approximately 3% if the indoor temperature is decreased by 1°C.
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Nadkarni, Nikhil S. (Nikhil Sunil). "Achieving real transparency : optimizing building energy ratings and disclosure in the U.S. residential sector." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/73822.
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Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2012.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 92-98).
Residential energy efficiency in the U.S. has the potential to generate significant energy, carbon, and financial savings. Nonetheless, the market of home energy upgrades remains fragmented, and the number of homes being retrofitted remains insignificant compared to the volume of inefficient housing stock. Providing more complete information on the energy performance of homes can enable buyers and sellers to value energy efficiency and can catalyze the delivery of residential energy efficiency. To that end, the European Union and five cities in the U.S. and Australia have implemented, in recent years, the use of residential building labeling to convey home energy performance to market stakeholders. The transparency provided through such building labeling has the potential to tear down common barriers to efficiency and to provide ways for owners, tenants, homebuyers, and lenders alike to engage in home energy efficiency. However, there are numerous concerns surrounding the current approaches to building labeling, and the methods in use today are highly heterogeneous, leading to significant uncertainty surrounding this emerging policy tool. In particular, this thesis describes how building labeling can be optimized for the delivery of residential energy efficiency, focusing specifically on the type of rating that could be used and on the approach to disclosing home energy performance. To achieve this, the thesis examines literature and provides case studies of four cities in the U.S. that have implemented residential energy labeling. These case studies provide insight into the shortcomings of approaches in use today, as well as a look at the beneficial methods utilized in each city. In conjunction, the thesis examines the approach the E.U. is using, the role of the private sector, and voluntary approaches in the U.S. Based on the approaches discussed in the literature and case studies, there are several key attributes that a well-designed building labeling program should have. One key determination is that a strong labeling policy should combine asset ratings (based on an on-site assessment) and operational ratings (based on billing data) to maximize the clarity, functionality, and comparability of labels. Additionally, a well-designed labeling policy should maintain privacy while facilitating information access to the right stakeholders at the right time. Drawing on these findings, this thesis proposes a new model of disclosing residential energy performance. The model, centered on web-enabled data analysis and access, has the potential to provide timely, consistent, and visible ratings to key market actors and, in turn, provide more complete information to residential markets on building efficiency. This approach also combines multiple data sources and requirements into a single platform, in order to streamline the rating and disclosure process. This model offers several advantages for catalyzing residential energy efficiency, as compared to existing approaches.
by Nikhil S. Nadkarni.
M.C.P.
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Matenda, Mutondo Paul. "Development of an energy model in system modeling language for future automated residential building applications." Thesis, Cape Peninsula University of Technology, 2014. http://hdl.handle.net/20.500.11838/1190.
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Thesis (MTech(Electrical Engineering)) -- Cape Peninsula University of Technology, 2014Today the building energy modeling industry is facing a number of challenges, the advanced programs or methods developed for building energy modeling, are very technical and complex to be used, especially for earlier designs, and the easy programs or methods are not accurate. Moreover, more than a hundred programs developed for energy modeling, have been used in the same building, but most of the time the results differed by about 30%. That is why this thesis has developed a new building energy model in System Modeling Language (SysML), in order to meet, at the same time, the accuracy and the simplicity to be used for future and existing buildings. In this thesis, SysML has been used to develop an energy model and to set up an automation system to the existing building. SysML can do more than simulations, but this thesis is limited to only the simulations steps by using easy applications of SysML and fewer diagrams which could develop in a complete building energy model. SysML is the extension of Unified modeling Language (UML), which uses fewer diagrams than UML. SysML is simple, open and more flexible to be used in any Engineering System. The previous chapter describes SysML and gives the overview and the platform of SysML. The simulations of SysML in this project have been developed through Enterprise Architect and Mat lab software. The inputs used to simulate the program are the parameters of the existing building chosen for modeling that is a student residential building complex located in Stellenbosch, Western Cape in South Africa. Automation system program used in this thesis was based on the norms and building standards of South Africa, renewable energy and the requirements of the buildings’ occupants, in order to meet energy efficiency and safety of the occupants.
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Meng, Yao. "Assessing the effect of new control and payment methods on heating energy consumption and occupant behaviour in Chinese dwellings." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/25749.
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Energy demand reduction has become a global issue involving all countries, including China. As major energy consumers in today s society, the need for buildings to be built and operated more energy efficiently is well recognized. In 1995, the national standard on building energy efficiency in China (JGJ 26-95) was refined and updated to become the new residential Buildings standard (JGJ 26-2010) published in 2010. In the new version, many changes have been made to support the construction of more energy efficient buildings in China. For example, in the new standard, all buildings are highly recommended to install personal control on the heating system, such as by Thermostatic Radiator Valves (TRVs), together with pay for what you use tariffs. Previous practice comprised uncontrolled heating with payment based on floor area. In order to reduce building energy consumption, Chinese government has revised the Chinese building design standard. In the new guide the use of individual room temperature control is highly recommended for new and refurbishment buildings. However, evidence to quantify the extent to which this improvement impact upon on the building energy consumption is currently lacking. This thesis evaluates the impact of updated building design standards on thermal conditions and energy consumption in Chinese residential buildings. In order to evaluate the impact on the building energy consumption, two types of residential buildings have been chosen, one complying with the old Chinese building design standard, while the other complies with the new standard. The study was carried out in seven apartments in each type of building, a total of fourteen apartments and comprised with a longitudinal monitoring of indoor air temperature, outdoor air temperature, window position and energy consumption of each apartment. The impact of the new design standard has been evaluated in relation to a number of aspects, that include building construction, indoor thermal environment, occupant behaviour, thermal comfort and building energy consumption. It is concluded that updating the building design standard has had a positive influence on the building conditions and energy consumption. Furthermore, a thermal comfort survey was carried out in both new and old apartments according to updated standards. The results show that the Predicted Mean Vote (PMV) model has a efficiently adequate predictor of occupants thermal comfort in both type of apartments. Thereby allowing confirmation that the new control refine did not compromise on thermal comfort. The percentage of acceptable of occupants is higher in new apartments compared with the old apartments.
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Awawdeh, Siba Adel. "The Potential of Building Regulations to improve the Energy Efficiency of High Rise Residential Buildings in the Gulf Countries." Thesis, Queen's University Belfast, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527656.
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Cenac-Morthe, Romain. "Heating energy consumption of a multi-storey municipal residential building : Measurement methodology analysis, modeling and optimization." Thesis, KTH, Byggvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-44553.
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Energy issues in the building sector become more and more important nowadays. Although the technology improves, the energy consumption remains the same because of people’s way of living. To reduce the energy consumption, it is possible to improve the technical components that form the building envelope and to change people’s habits. This report aims at determining the best measurement methodology of the heating and hot water consumption of a building to insure real-time visualization and evaluating the energy savings that could be made by changing people habits. To do so, an existing measurement methodology is analyzed by making error calculations and computer-based modeling and simulations are carried out to determine the heating consumption of the building under different conditions. The program DesignBuilder is used to assess the energy consumption of the building. The study shows that a consequent reduction of the heating consumption is possible by only changing people’s habits. Real-time visualization would be really helpful but it needs very accurate measurements that are almost impossible if they are not integrated in the first stages of the building process.
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Zaraket, Toufic. "Stochastic activity-based approach of occupant-related energy consumption in residential buildings." Thesis, Châtenay-Malabry, Ecole centrale de Paris, 2014. http://www.theses.fr/2014ECAP0033/document.
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Le secteur du bâtiment est considéré comme un gros consommateur d'énergie et une source de pollution majeure parmi tous les secteurs économiques. Il représente entre 16 et 50 pour cent des consommations nationales d'énergie. La réduction de ces consommations et des émissions est donc une étape importante vers un développement durable. Récemment, la transition vers la construction des bâtiments à faible consommation d’énergie a conduit à de nouvelles exigences en matière de performance et de durabilité, et ainsi encore complexifié le processus de conception des bâtiments. Le comportement des occupants est maintenant considéré comme un facteur déterminant de la performance énergétique d’un bâtiment, particulièrement dans le cas des bâtiments basse consommation (BBC). Pourtant, les outils de simulation utilisés dans l'industrie des bâtiments ne sont pas aujourd'hui en mesure de fournir des estimations fiables de la demande d'énergie des occupants. Par conséquent, les experts en énergie et bâtiments portent une grande attention à développer des méthodes plus précises pour la modélisation et la prévision de l’influence des occupants sur la performance du bâtiment. Ces modèles doivent pouvoir fournir des estimations plus précises des consommations d’énergie et évaluer la variabilité de ces consommations. En conséquence, l’objectif visé est de permettre aux experts en construction d’améliorer leurs solutions techniques, améliorer la performance de leurs services, et promouvoir des incitations mieux ciblées vers les usagers afin de réduire leurs consommations énergétiques. L'objectif de cette thèse est de proposer un modèle pour estimer la consommation d'énergie liée aux comportements des occupants de bâtiments résidentiels, en prenant en compte la variabilité des modes de consommation au travers de la diversité des profils socio-démographiques et économiques des occupants. Une approche stochastique basée sur la notion d’activité est donc adoptée. Avec ce modèle, la consommation d'énergie d'un ménage est estimée en additionnant la consommation d'énergie des différentes activités domestiques (comme faire la cuisine, le lavage du linge, etc.). La nature stochastique du modèle est due aux relations probabilistes établies entre les attributs des ménages d'une part (type de ménage, nombre d'occupants, etc.) et la possession des équipements domestiques, les caractéristiques des appareils, leur puissance, et les quantités d'activité d’autre part. Afin d'établir ces relations stochastiques, un nombre suffisant d'attributs est pris en compte pour caractériser un ménage. Le modèle proposé a été appliqué pour deux activités domestiques, à savoir regarder la télévision et laver le linge. Des simulations de Monte Carlo sont effectuées pour fournir des estimations de consommation d'énergie pour ces deux activités dans trois cas de figure : pour un ménage spécifique, pour des ménages générés aléatoirement avec des contraintes sur leurs attributs, et pour des ménages totalement aléatoires représentatifs de la population française. Une comparaison entre les résultats de la simulation de modèle d’une part et des données de consommation d'énergie réelle d’autre part, a permis de valider le modèle pour les deux activités considérées. Un cadre de généralisation du modèle pour d'autres activités domestiques a été introduit, et sa possible intégration dans le processus de conception des bâtiments a été discutée et illustrée au travers d’un certain nombre d’exemplesRésumé en Anglais : The building sector is considered as a major energy consumer and pollution source among all economic sectors. It accounts for important shares, ranging between 16 and 50 percent, of national energy consumption worldwide. Reducing these consumptions and emissions is thus an important step towards sustainable development. Recently, the shift towards constructing low-consuming and nearly zero-energy buildings lead to further requirements with regard to performance and sustainability, and thus caused the design process of buildings to be more complex. Occupants’ behavior is now considered as a key determinant of building’s energy performance especially in the case of green buildings. Yet, energy simulation tools used in buildings industry nowadays are not capable of providing accurate estimations of occupant-related energy demands. Therefore, buildings and energy experts are devoting considerable efforts on developing more precise methods for modeling and forecasting occupants influence on whole building performance. Such models can provide accurate energy estimates and can assess future consumption variability. Consequently, building experts may improve their technical solutions, ameliorate their service performances, and promote targeted incentives. The objective of this dissertation is to propose a model for forecasting occupant-related energy consumption in residential buildings, while accounting for variability in consumption patterns due to diversity in occupants’ socio-demographic and economic profiles. A stochastic activity-based approach is thus adopted. By activity-based, it means that energy consumption of a household is estimated by summing up the energy use of different activities performed (such as cooking, washing clothes, etc.). The stochastic nature of the model is due to the probabilistic mapping established between household attributes from one side (household type, number of occupants, etc.) and the corresponding appliance ownership, appliance characteristics and power rating, and activity quantities from the other side. In order to establish these stochastic relations, a fairly sufficient number of households’ characterizing attributes is taken into account. The proposed model is applied for two domestic activities, namely watching TV and washing laundry. Three types of Monte Carlo simulations are performed to provide energy estimates for these two activities: for a given specified household, for randomly generated households with constraints, and for totally random population-wise households. A comparison between model’s simulation results and real measured energy consumption data enables validating the model for the two considered activities. A generalization framework of the modeling approach for other domestic activities is sketched, and its possible integration into buildings design process is discussed and illustrated through a number of examples
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Sandalidi, Elisavet. "Building energy pre-design based on multi-criteria decision analysis." Thesis, Högskolan i Gävle, Energisystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-25368.
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The successful energy design of buildings requires that special attention be paid to the conceptual stage. However, it is a difficult task to find the most promising design alternatives satisfying several conflicting criteria. This thesis presents a simple multi-criteria decisions analysis method that could assist designers in green building design. Variables in the model include those alternatives that are common options when a residential building is to be constructed. The individual components that are considered are the building envelope, heating, ventilation and air conditioning (HVAC) system, service water heating, power and lighting. The key actors, objectives and methodology of multi-criteria decisions analysis are presented and finally a case study for a residential building in Athens is performed. The criteria by which to evaluate each building component of the newly built construction were identified by the decision-makers. Subsequently, decision frameworks for the selection of roof, walls, windows, heating system, energy source for heating system, power source, lighting and service water heating system were built. The method is followed step-by-step to conclude on the optimal building components based on their score. Due to the equal scoring of the windows and an inapplicable combination of electric underfloor heating with air-to-water heat pump, the method is characterized by low accuracy. The fact that the building components have been treated individually sets the method as a basic one and indicates that a more complex one should be preferred when more trustworthy results are needed.
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LU, JIE. "Energy-Efficient Refurbishment of Existing and Aging Residential Buildings in China - A Case Study Based Research." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-201200.
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Nowadays, the strategy of improving the energy conserving situations of existing buildingshas been playing a more and more important role of further promoting the worldwide sustainabledevelopment paths, especially in China. This thesis presents the results of a case study based researchwhere several different building Energy Conservation and Efficiency Refurbishment (ECER) options toimprove the energy performance of two representative Chinese Residential Multi-Family Buildings(RMFBs) of two very different climate conditions are evaluated and compared, which have been seenas the typical case buildings of existing and aging less energy efficient urban residential building inthat regions (i.e. one in Urumqi belongs to north cold winter region; and other one in Shanghai belongsto south cold winter and hot summer region). In order to provide a scientific base to present the detailenergy conserving improvements in a quantity and quality way, the research methods are including: therelevant literature reviews; the real case data based interview data collections from the professionalworkers in building ECER field; the simulation and analysis processes are based on the building energysimulation computer program – VIP-Energy (Version 2.0.7). The study results are presented in acomprehensive yet straightforward way, and allow for later interesting comparisons between thedifferent building ECER measures for improvement. In a broader perspective, this research will help toexplore a comparative long-term perspective point of view on the existed and most commonly usedresidential building envelope refurbishment measures in a more comprehensive way, and identify thepotential opportunities for further promoting the building energy consumption reductions to meet thefuture increasingly restrict national building energy conservation standards. In addition, the researchalso suggested the optimal RMFB envelope refurbishment strategy based on the case buildings’ statusquo and subject ECER measures, which is introducing an advancing system thinking pattern to theexisting conventional ECER measures, implementing the combined building ECER options to the casebuildings are put forward. And the separate considerations of environmental and economic benefits thatobtained by the subject ECER measures are both presenting simultaneously in the end.
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Suresh, Sreerag. "An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99287.
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Building energy load forecasting is becoming an increasingly important task with the rapid deployment of smart homes, integration of renewables into the grid and the advent of decentralized energy systems. Residential load forecasting has been a challenging task since the residential load is highly stochastic. Deep learning models have showed tremendous promise in the fields of time-series and sequential data and have been successfully used in the field of short-term load forecasting at the building level. Although, other studies have looked at using deep learning models for building energy forecasting, most of those studies have looked at limited number of homes or an aggregate load of a collection of homes. This study aims to address this gap and serve as an investigation on selecting the better deep learning model architecture for short term load forecasting on 3 communities of residential buildings. The deep learning models CNN and LSTM have been used in the study. For 15-min ahead forecasting for a collection of homes it was found that homes with a higher variance were better predicted by using CNN models and LSTM showed better performance for homes with lower variances. The effect of adding weather variables on 24-hour ahead forecasting was studied and it was observed that adding weather parameters did not show an improvement in forecasting performance. In all the homes, deep learning models are shown to outperform the simple ANN model.Master of Science
Building energy load forecasting is becoming an increasingly important task with the rapid deployment of smart homes, integration of renewables into the grid and the advent of decentralized energy systems. Residential load forecasting has been a challenging task since residential load is highly stochastic. Deep learning models have showed tremendous promise in the fields of time-series and sequential data and have been successfully used in the field of short-term load forecasting. Although, other studies have looked at using deep learning models for building energy forecasting, most of those studies have looked at only a single home or an aggregate load of a collection of homes. This study aims to address this gap and serve as an analysis on short term load forecasting on 3 communities of residential buildings. Detailed analysis on the model performances across all homes have been studied. Deep learning models have been used in this study and their efficacy is measured compared to a simple ANN model.
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Negrea, Andrei Liviu. "Optimization of energy efficiency for residential buildings by using artificial intelligence." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI090.
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La consommation, en général, représente le processus d’utilisation d’un type de ressource où des économies doivent être réalisées. La consommation d’énergie est devenue l’un des principaux problèmes d’urbanisation et de crise énergétique, car l’épuisement des combustibles fossiles et le réchauffement climatique mettent en péril l’utilisation de l’énergie des plantes. Cette thèse présent une méthode d’économie d’énergie a été adoptée pour la réduction de consommation d’énergie prévu le secteur résidentiel et les maisons passives. Un modèle mathématique basé sur des mesures expérimentales a été développé pour simuler le comportement d’un laboratoire d’essai de l’UPB. Le protocole expérimental a été réalisé à la suite d’actions telles que : la construction de bases de données sur les paramètres, la collecte de données météorologiques, l’apport de flux auxiliaires tout en considérant le comportement humain. L’algorithme de contrôle-commande du système est capable de maintenir une température constante à l’intérieur du bâtiment avec une consommation minimale d’énergie. Les mesures et l’acquisition de données ont été configurées à deux niveaux différents: les données météorologiques et les données sur les bâtiments. La collection de données est faite sur un serveur qui a été mis en œuvre dans l’installation de test en cours d’exécution d’un algorithme complexe qui peut fournir le contrôle de consommation d’énergie. La thèse rapporte plusieurs méthodes numériques pour envisage la consommation d’énergie, utilisée avec l’algorithme de contrôle. Un cas expérimental basé sur des méthodes de calcul dynamiques pour les évaluations de performance énergétique de construction a été faite à Grenade, en Espagne, l’information qui a été plus tard utilisée dans cette thèse. L’estimation des paramètres R-C avec la prévision du flux de chaleur a été faite en utilisant la méthode nodal, basée sur des éléments physiques, des données d’entrée et des informations météorologiques. La prévision d’énergie de consommation présent des résultats améliorés tandis que la collecte de données IoT a été téléchargée sur une carte à base de système de tarte aux framboises. Tous ces résultats ont été stables montrant des progrès impressionnants dans la prévision de la consommation d’énergie et leur application en énergieConsumption, in general, represents the process of using a type of resource where savings needs to be done. Energy consumption has become one the main issue of urbanization and energy crisis as the fossil depletion and global warming put under threat the planet energy utilization. In this thesis, an automatic control of energy was developed to reduce energy consumption in residential area and passive house buildings. A mathematical model founded on empirical measurements was developed to emphasize the behavior of a testing laboratory from Universitatea Politehnica din București - Université Politechnica de Bucarest - Roumanie. The experimental protocol was carried out following actions such as: building parameters database, collecting weather data, intake of auxiliary flows while considering the controlling factors. The control algorithm is controlling the system which can maintain a comfortable temperature within the building with minimum energy consumption. Measurements and data acquisition have been setup on two different levels: weather and buildings data. The data collection is gathered on a server which was implemented into the testing facility running a complex algorithm which can control energy consumption. The thesis reports several numerical methods for estimating the energy consumption that is further used with the control algorithm. An experimental showcase based on dynamic calculation methods for building energy performance assessments was made in Granada, Spain, information which was later used in this thesis. Estimation of model parameters (resistances and capacities) with prediction of heat flow was made using nodal method, based on physical elements, input data and weather information. Prediction of energy consumption using state-space modeling show improved results while IoT data collection was uploaded on a Raspberry Pi system. All these results were stable showing impressive progress in the prediction of energy consumption and their application in energy field
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Gallardo, Carla. "Residential building stocks and flows as dynamic systems : Chilean dwelling stock and energy modeling, including earthquakes." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for vann- og miljøteknikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18786.
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The building sector comprises a very important part of each country’s economy, playing an important role in the consumption of resources and energy. In practice there is little knowledge on how the building stock develops. It is useful then to understand the dynamics and the metabolism of the built environment. Research on building stocks, predominantly on the residential sector, has been performed mainly for developed countries. There is little or none research on building stock for developing countries, so given that there is still a big gap regarding service levels (floor area per capita) between developed and developing countries, it is of importance to understand the dynamics of developing countries as well.Given that earthquakes occur in populated areas, it is important to assess the dynamics of such systems. The Chilean dwelling stock is subjected to earthquakes, so this focused on including earthquake activity to the dynamic MFA model of the dwelling stock. A leaching approach was used, basing the analysis on the typology distribution of different vulnerability classes. Different scenarios were defined in order to analyze the effect of policies on building codes and practices on the typology distribution of the stock, and hence on the demolition and renovation rate due to earthquakes. Policies for strengthening and renovating the building stock have a large positive impact on overall demolition rates. Patching types of policies have little effect when it comes to making the stock less vulnerable in the long term.An energy analysis was carried out for the overall stock, based on the mass balance yielded by the building stock dynamic MFA model. Effects of policies on energy and renovation standards are observed through the analysis of scenarios as well. The energy consumption of the stock has not reached saturation yet, and the timing for this will be strongly influenced by the energy intensity development of the stock. The combined effect of policies for decreasing the vulnerability of the dwelling stock and energy efficiency policies could be further explored if each vulnerability class could be described by an energy intensity factor. Further data gathering or modeling on this would be of importance to further understand the system.Even if there is data uncertainty and the model present weaknesses, the approach used for modeling the Chilean dwelling stock allows for a systematic view of the effects earthquakes on the system. The building sector is an important contributor of CO2 emissions. A detailed carbon analysis for the future development of the building stock is then relevant to this study. However, considering the time constraints, this research has focused on the modeling of the building stock including earthquake activity and an overall energy assessment of it. A simplified carbon analysis was left out due to the fact that by considering a constant emission factor the analysis of the trends of CO2 emissions would be equivalent to the analysis of the energy model.
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Harb, Hassan [Verfasser], Dirk Akademischer Betreuer] Müller, and Antonello [Akademischer Betreuer] [Monti. "Predictive demand side management strategies for residential building energy systems / Hassan Harb ; Dirk Müller, Antonello Monti." Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/1162846003/34.
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Dwivedula, Venkata Krishna Chanakya. "Impact of Occupant Activity-Driven Building Control on Energy Use and Indoor Comfort." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1530272440273917.
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El, Sabea Hassan. "Field measurements evaluation and modeling of CO2 heat pump for residential building (Gamen 12)." Thesis, KTH, Energiteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253825.
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Carbon dioxide, as a natural refrigerant, is safe and environment-friendly. It is also an economic refrigerant which can be utilized in residential heat pumps. Analysis has been done to evaluate the performance of the CO2 heat pump in Gamen 12 (Skrapan) in the Sodermalm area, owned by Vasakronan; which is a real estate company. The building satisfies its heating needs through connecting to the district heating network. Furthermore, the CO2 heat pump was installed to recover the available high- potential- waste energy from the building. The evaluation starts with one year of field measurements of an existing system (May 2017 to May 2018). Additionally, quality control and a revision of the data are essential to have the most accurate values. The use of necessary equations is then followed to estimate and establish the critical parameters to the heat pump's performance. For instance, some of the essential parameters include temperature and pressure. In this study, a numerical model was used to present four different scenarios which handle the parameters that impact the performance of the heat pump. These scenarios also aim to improve the system for future installations. The results show that the performance of the heat pump can be improved by 16% and 14% respectively when the outlet gas-cooler temperature and the evaporation temperature are optimized. The best performance of the system is achieved when the outlet gas-cooler temperature decreased, and the evaporation temperature increased simultaneously. This change yielded to the best optimal value, which is up to 30% higher than the previous performance. Another scenario was created for future installations. In this scenario, it was assumed that the heat pump consists of three gas coolers, two of which were utilized for heating domestic water while the third one was used for space heating. Results showed that the new installed scenarios were economically promising and yielded in better performance of the system. Finally, an economic assessment was adopted in this study which showed cost-saving effect at a specific running capacity of the system; 8% of the total cost which equal to 168 000 SEK was saved annually when the heat pump runs at average capacity 54%. After applying the suggested improvements, the savings will be higher and would reach 218 000 SEK annually and the capacity of the heat pump reaches 70%, which is equal to 11% of the total cost of providing heating to the building.Koldioxid, som ett naturligt kylmedel är säkert och miljövänligt. Det är också ett ekonomiskt kylmedel som kan användas i bostadsvärmepumpar. Analys har gjorts för att utvärdera uppförandet av CO2-värmepumpen i Gamen 12 (Skrapan) i Södermalmområdet, och vasakronan äger denna byggnad; vilket är ett fastighetsbolag. Byggnaden uppfyller sina värmebehov genom att ansluta till fjärrvärme . Vidare installerades CO2-värmepumpen för att återvinna den tillgängliga högspänningsavfallsenergin från byggnaden. Utvärderingen börjar med ett år av fältmätningar från maj 2017 till maj 2018 av ett befintligt system. Dessutom är kvalitetskontroll och revision av data väsentliga för att få de mest exakta värdena. Därefter följs användningen av nödvändiga ekvationer för att uppskatta och fastställa parametrar som är kritiska för värmepumpens prestanda. Exempelvis inkluderar några av de väsentliga parametrarna temperatur och tryck. Vidare användes i en studie en numerisk modell för att presentera fyra olika scenarier som hanterar de parametrar som påverkar värmepumpens prestanda. Scenarierna syftar också till att förbättra systemet för framtida eller liknande installationer. Resultaten visar att värmepumpens prestanda kan förbättras med 16% respektive 14% när utloppsgaskylstemperaturen och indunstningstemperaturen optimeras. Systemets bästa prestanda uppnås när utloppsgaskylstemperaturen sjönk och förångningstemperaturen ökade samtidigt. Denna förändring gav det bästa optimala värdet, vilket är upp till 30% högre än tidigare prestanda. Ett annat scenario skapades för den framtida installation. I detta scenario antogs att värmepumpen består av tre gaskylare, varav två kommer att användas för uppvärmning av hushållsvatten medan den andra används för rymmeuppvärmning. Resultaten visade att den nya installationen lovar ekonomiska resultat och ger bättre prestanda i systemet. Slutligen antogs en ekonomisk bedömning i den här studien och det genomförde resultatet av kostnadsbesparingar med en specifik Kapacitet hos systemet som är 168000 SEK / år och motsvarar 8% av den totala kostnaden som resultaten visade. Efter att ha tillämpat de föreslagna förbättringarna kommer besparingarna att bli högre och uppgå till 218000 SEK / år vilket motsvarar 11% av den totala kostnaden för uppvärmning till byggnaden.
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Liu, Linn. "A systematic approach for major renovation of residential buildings." Doctoral thesis, Linköpings universitet, Energisystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-137445.
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In Sweden, buildings are responsible for about 40 % of total energy use and about 10 % of total CO2 emissions Today more than 60 % of existing Swedish residential buildings are over 40 years old and are in need of major renovation. In addition, 15 % of all multi-family buildings and 27 % of all single-family houses were built before 1945. The increased energy use and threat from CO2 emissions of the building sector create a need for energy efficiency. The important role that renovation of residential buildings will play in reducing the total energy used by the Swedish building sector as well as in reducing primary energy use and CO2 emissions on both the national and global levels has been the impetus for the studies included in this thesis. The aim of the current research is to develop a methodology from a system perspective which can be used to analyze the energy use, optimal life cycle cost (LCC), energy efficiency measure (EEM) package, indoor environment, CO2 emissions, and primary energy use of a building or a community during major renovation. The developed methodology accomplished at three different levels, i.e. building level, cluster level and district level. The methodology considers both energy efficiency and economic viability during building renovation and will also play an important role in overall urban planning. The studied buildings include both non-listed and listed residential buildings and the tools used include building energy simulation (BES), survey, technical measurements, LCC optimization and building categorization. The results show that the combination of BES, technical measurements and surveys provides a holistic approach for evaluation of energy use and indoor environment of the studied residential buildings. The results from the current study also show that the 2020 energy target, i.e., reduction of energy use by 20 %, for the building sector can be achieved by all the studied building types and that the total LCC of these buildings are below the cost-optimal point. In comparison, the 2050 energy target, i.e., reduction of energy use by 50 %, for the building sector may be achieved by the non-listed buildings, but when the constraints relevant to listed buildings are added the cost-optimality changes as some EEMs in direct conflict with the building’s heritage value may not be implemented. The investigation of primary energy use and CO2 emissions by the residential buildings show that the higher the energy saving, the lower the primary energy use becomes, and vice versa. With the same energy saving, the heating system with higher primary energy factor results in higher primary energy use. From a CO2 emissions point of view, EEM packages proposed to help buildings connected to a CHP based district heating system, to reduce the energy use or LCC are not consistently effective. Since these EEM packages will reduce district heating demand, the electricity produced in the CHP plant will also decrease. When the biomass is considered a limited resource, measures such as investment in a biofuel boiler are not favourable from the CO2 emissions point of view. The current study has also shown that combining building categorization method and LCC optimization method will help the community to reduce its energy use, primary energy use and CO2 emissions in a systematic and strategic way.I Sverige, står byggnadssektorn för cirka 40 % av den totala energianvändningen och cirka 10 % av CO2-utsläppen. Idag är mer än 60 % av befintliga svenska bostäder över 40 år gamla och i stort behov av renovering. Dessutom är 15 % av alla flerbostadshus och 27 % av alla småhus byggda före 1945. Den ökade energianvändningen och hotet från CO2-utsläpp från byggsektorn skapar ett behov av energieffektivisering. Grunden för studierna i denna avhandling är den stora betydelse som renoveringen av bostäder har, såväl för att kunna minska den totala energianvändningen som den primärenergianvändningen och CO2-utsläppen på både nationell och global nivå. Syftet med denna forskning är att utveckla en metodik ur ett systematiskt perspektiv som kan användas för att analysera energianvändning, finna optimal livscykelkostnad (LCC), skapa energieffektiviseringsåtgärdspaket, undersöka inomhusmiljöer, beräkna CO2-utsläpp och primärenergianvändning i en byggnad eller ett samhälle vid omfattande renovering. Den utvecklade metodiken som har använts i de aktuella studierna är på tre olika nivåer: byggnadsnivå, klusternivå och stadsdelsnivå. Metodiken avser både energieffektivitet och ekonomisk lönsamhet vid renovering av byggnader och kommer också att spela en viktig roll i den övergripande stadsplaneringen. De studerande byggnaderna i denna avhandling innefattar både historiska och icke-historiska bostäder. De använda verktygen inkluderar building energy simulering (BES), enkätundersökning, tekniska mätningar, LCC-optimering och byggnadskategorisering. Resultaten visar att kombinationen av BES, tekniska mätningar och enkätundersökning ger en god helhetsbild för utvärdering av energianvändning och inomhusmiljö av den studerade byggnaden. Resultaten från den aktuella studien visar också att 2020-energimålet, d.v.s. en minskning av energianvändningen med 20 % till 2020 av byggsektorn, kan uppnås i alla undersökta byggnader och att den totala LCC av dessa byggnader ligger under den kostnadsoptimala punkten. I jämförelse, kan 2050-energimålet, d.v.s. en minskning av energianvändningen med 50 % till 2050, kan uppnås i icke-historiska byggnader, men med hänsyn tagen till begränsningarna för historiska byggnader, ändras de kostnadsoptimala lösningarna, eftersom vissa energieffektiviseringsåtgärder är i direkt konflikt med byggnadens kulturhistoriska värde och därför inte kan genomföras. Undersökningen av primärenergianvändning och CO2-utsläpp i de studerade byggnaderna visar, att ju högre energibesparingen är, desto lägre blir primärenergianvändningen, och vise versa. Med lika mycket energibesparing, resulterar värmesystemet med högre primärenergifaktor i högre primärenergianvändning. Sett från CO2-utsläppssynvinkel, är de energieffektiviseringsåtgärdspaket, som kan hjälpa byggnader anslutna till ett kraftvärmebaserat fjärrvärmesystem att minska energianvändningen eller LCC, inte effektiva, eftersom dessa åtgärdspaket kommer att minska fjärrvärmeanvändningen. Detta leder till att mängden producerad el i ett kraftvärmeverk också kommer att minskas. När biobränsle betraktas som en begränsad resurs, är åtgärder som investering i en biobränslepanna inte energieffektiva från en CO2-utsläppssynvikel. Den aktuella studien visar också att kombinationen av byggnadskategorisering och LCC-optimering kommer att hjälpa byggnadssektorn att minska sin energianvändning, primärenergianvändning och CO2-utsläpp på ett systematiskt och strategiskt sätt.
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Yakkali, Sai Santosh. "Decomposing Residential Monthly Electric Utility Bill Into HVAC Energy Use Using Machine Learning." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin155437406441298.
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Gustafsson, Marcus. "Energy Efficient Renovation Strategies for Swedish and Other European Residential and Office Buildings." Doctoral thesis, KTH, Strömnings- och klimatteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-206186.
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The high energy use in the European building stock is attributable to the large share of old buildings with poor energy performance. Energy renovation of buildings is therefore vital in the work towards energy efficiency and reduced environmental impact in the EU. Yet, the strategies and energy system implications of this work have not been made clear, and the rate of building renovation is currently very low. The aim of this thesis is to investigate the economic and environmental aspects of energy renovation strategies, with two main objectives: Renovation of Swedish district heated multi-family houses, including life-cycle cost and environmental analysis and impact on the local energy system; Renovation of European residential and office buildings, including life-cycle cost and environmental analysis and influence of climatic conditions. Buildings typical for the respective regions and the period of construction 1945-1970 were simulated, in order to determine the feasibility and energy saving potential of energy renovation measures in European climates. A variety of systems for heating, cooling and ventilation were studied, as well as solar energy systems, with focus on heat pumps, district heating, low-temperature heating systems and air heat recovery. Compared to normal building renovation, energy renovation can often reduce the life-cycle costs and environmental impact. In renovation of typical European office buildings, as well as Southern European multi-family houses, more ambitious renovation levels can also be more profitable. Exhaust air heat pumps can be cost-effective complements in district heated multi-family houses, while ventilation with heat recovery is more expensive but also more likely to reduce the primary energy use. From a system perspective, simple exhaust ventilation can reduce the primary energy use in the district-heating plant as much as an exhaust air heat pump, due to the lower electricity use.Byggnadssektorn står för omkring 40 % av den totala energianvändningen i EU. Den höga energianvändningen i Europeiska byggnader kan till stor del tillskrivas den stora andelen gamla byggnader med dålig energiprestanda. Energirenovering av byggnader, eller energieffektivisering genom renovering, kan därför anses utgöra en central del i arbetet mot EU:s klimat- och energimål för år 2030. Trots detta är det ännu inte helt klarlagt vilka strategier som ska tillämpas för att uppnå detta och hur det påverkar energisystemet, och i nuläget är renoveringstakten fortfarande väldigt låg. Målet med denna avhandling är att undersöka ekonomiska och miljömässiga aspekter av strategier för energirenovering, såväl byggnadsskalsåtgärder som aktiva system, för typiska bostads- och kontorsbyggnader i Sverige och i andra Europeiska regioner. Mer specifikt har arbetet följande två inriktningar: Renovering av svenska, fjärrvärmevärmda flerfamiljshus, inklusive livscykelkostnadsanalys och livscykelmiljöanalys samt påverkan på det lokala energisystemet; Renovering av Europeiska bostads- och kontorsbyggnader, inklusive livscykelkostnadsanalys och livscykelmiljöanalys samt påverkan av klimatförutsättningar. Byggnader typiska för respektive region och byggnadsperioden 1945-1970 modellerades och användes i simuleringar för att fastställa den övergripande möjligheten och energibesparingspotentialen för olika renoveringsåtgärder i Europeiska klimat. En rad system för värme, kyla och ventilation studeras, samt solenergisystem, med fokus på värmepumpar, fjärrvärme, lågtemperaturvärmesystem och värmeåtervinning ur frånluft. Jämfört med renovering av byggnader utan energieffektiviseringsåtgärder kan energirenovering i många fall minska såväl livscykelkostnaden som miljöpåverkan. Vid renovering av typiska Europeiska kontorsbyggnader lönar det sig mer att renovera ner till ett uppvärmningsbehov på 25 kWh/(m²∙år) än 45 kWh/(m²∙år), då den minskade kostnaden för köpt energi väger upp den ökade kostnaden för isolering. För flerfamiljshus i södra Europa kan mer ambitiösa mål gällande värmebehov också vara lönsamma, medan en mer måttlig nivå är lämplig för småhus. Solvärme- eller solelsystem kan användas för att minska byggnaders miljöpåverkan. Utan subventioner eller inmatningstariff för överskottsel kan det bli svårt att få lönsamhet i dessa system för kontorsbyggnader i Nord- och Centraleuropa samt för småhus. För flerfamiljshus kan solenergisystem dock sänka den totala livscykelkostnaden, såväl i södra som i norra Europa. Värmeåtervinning och lågtemperaturvärmesystem visade sig båda ha större inverkan i kallare klimat. Lågtemperaturvärmesystem förbättrar värmefaktorn för värmepumpar, i synnerhet när uppvärmningsbehovet är stort i förhållande till varmvattenbehovet. Vid renovering av byggnader med vattenburna radiatorer kan konvertering till tilluftsradiatorer sänka framledningstemperaturen i värmesystemet. I svenska flerfamiljshus kan frånluftsvärmepump vara ett kostnadseffektivt komplement till fjärrvärme, medan från- och tilluftsventilation med värmeåtervinning är dyrare men mer sannolikt att ge en minskad primärenergianvändning. I ett systemperspektiv kan frånluftsventilation utan värmeåtervinning minska primärenergianvändningen i fjärrvärmeverket lika mycket som en frånluftsvärmepump, tack vare den lägre elanvändningen.
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Pede, Timothy. "Exploring Relationships Between Building And Transportation Energy Use Of Residents In U.S. Metropolitan Regions." ScholarWorks @ UVM, 2014. http://scholarworks.uvm.edu/graddis/314.
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There is much potential to decrease energy consumption in the U.S. by encouraging compact, centralized development. Although many studies have examined the extent to which built environment and demographic factors are related to household energy use, few have considered both building and transportation energy together. We hypothesized that residents living further from city centers, or urban cores, consume more energy for both purposes than their inner city counterparts, resulting in a direct relationship between building and transportation energy usage. This hypothesis was tested with two case studies.
The first focused on New York City. Annual building energy per unit of parcels, or tax lots, containing large multi-family structures was compared to the daily transportation energy use per household of traffic analysis zones (TAZs) (estimated with a regional travel demand model). Transportation energy showed a strong spatial pattern, with distance to urban core explaining 63% of variation in consumption. Building energy use was randomly distributed, resulting in a weak negative correlation with transportation energy. However, both correlation with distance to urban core and transportation energy became significant and positive when portion of detached single-family units for TAZs was used as a proxy for building energy. Structural equation models (SEMs) revealed a direct relationship between log lot depth and both uses of energy, and inverse relationship between portion of attached housing units and transportation energy. This supports the notion that sprawling development increases both the building and transportation energy consumption of households.
For the second analysis, annual building and automobile energy use per household were estimated for block groups across the 50 most populous U.S. metropolitan regions with Esri Consumer Expenditure Data. Both forms of energy consumption per household were lowest in inner cities and increased at greater distances from urban cores. Although there may be some error in estimates from modeled expenditure data, characteristics associated with lower energy use, such as portion of attached housing units and commuters that utilize transit or pedestrian modes, were negatively correlated with distance to urban core.
Overall, this work suggests there are spatial patterns to household energy consumption, with households further from urban cores using more building and transportation energy. There is the greatest gain in efficiency to be had by suburban residents.
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Lundberg, Nils. "Evaluation of a high-rise building for passive house classifications in PHPP : Simulation and optimization of energy efficiency measures for residential high-rise buildings in different climates." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-127056.
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This thesis is a part of the major EU project EE-Highrise which is a part of the European 7th Framework Research Program (FP7-ENERGY). In order to demonstrate and test new technologies and concepts, a demo building has been constructed in Ljubljana, the capital of Slovenia. The approach during the development of the building has been to consider all its elements with the purpose to increase the energy efficiency and sustainability of the building. Umeå University’s objective is to develop regional specific models of the demo high-rise building. The objective of this thesis is to evaluate whether a simplified model of the high rise building, Eco Silver House, can meet the passive house classifications in four selected cities; Ljubljana, Sibenik, Umeå and Dubai and then to suggest improvements of the models for the different regions. Drawings of the building were provided along with an IFC file for construction of the model in PHPP. The simulation tool used for simulations, PHPP, contained all necessary tools for designing a properly functioning Passive House. By preparing an energy balance, the annual energy demand of the building was calculated based on input related to building characteristics. Results from the simulations have then been compared to the requirements for the German Passive House classification. The performance of the building in Umeå has also be compared to the Swedish passive house standards. Improvements to the climate shell and the ventilation system were after that examined depending on the results. It was shown that it is possible to construct regional specific models that fulfill the passive house requirements in three of four regions. The model achieved passive house standard without any additional energy efficiency measures in Ljubljana and Šibenik while a combination of measures was needed to fulfill all the criteria’s in Umeå. The Swedish requirements used for evaluation of the model in Sweden were easier to fulfill since they have been developed for the cold climate present in Umeå. Since no regional passive house classification was used to evaluate the performance of the model in Dubai the cooling and primary energy demand exceeded the limiting criteria’s. The energy efficiency measure with reduced window area had the greatest impact on heating and cooling demand in all climates. This measure should be included in all future models which also is suggested by parallel studies on similar models of the same building. The only climate where an increased U-value of the external envelope resulted in improved performance of the model was in Šibenik. For all the other climates where a lowered U-value was implemented did the overall performance improve.EE-Highrise (European 7th Framework Research Program.
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O'Kelly, Matthew E. "Dynamic Simulation of a Superinsulated Residential Structure with a Hybrid Desiccant Cooling System." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345442100.
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