Relevant bibliographies by topics / Building energy monitoring

Academic literature on the topic 'Building energy monitoring'

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Published: 14 March 2023

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Journal articles on the topic "Building energy monitoring"

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Pan, Chong Chao, and Zheng Qian Feng. "Design of Building Energy Consumption Monitoring System." Advanced Materials Research 1008-1009 (August 2014): 1274–77. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.1274.

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Building energy consumption has become large energy consumption in our country. In order to realize the full range of buildings energy-saving, this paper designed a building energy monitoring system and which can effective measure, monitor, control and regulate each energy equipment and systems within the building. It makes a large number of dispersed energy data sort, optimization, control and reasonable allocation by combining networking technology and cloud computing technology, forming the construction of community energy overall control, optimization, service and redistribution system. Finally realizes the monitoring, control of buildings energy consumption, achieving the purpose of saving the energy.
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Stojkov, Marinko, Krešimir Crnogorac, Tomislav Alinjak, and Bernarda Crnogorac. "Monitoring and Regulation of Indoor Conditions." Periodica Polytechnica Mechanical Engineering 66, no. 2 (March 22, 2022): 137–43. http://dx.doi.org/10.3311/ppme.19443.

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This paper presents research of energy performance analysis performed by Building Energy Management System (BEMS). BEMS is a system/platform integrated with building and it is an enormous improvement in a process to develop nearly zero energy buildings (nZEB). Near zero energy consumption stands for energy efficient idea of energy independent buildings for their function during their life time. Here, BEMS with function of monitoring and regulation of cooling energy demand is developed. BEMS regulates function of ventilation fan in area below tin roof and improves working conditions by inside building temperature reduction during summer period. Described technical solution is designed inside RESCUE IPA CBC project.
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Sesotya Utami, Sentagi, Faridah, Na’im A. Azizi, Erlin Kencanawati, M. Akbar Tanjung, and Balza Achmad. "Energy Monitoring System for Existing Buildings in Indonesia." E3S Web of Conferences 42 (2018): 01003. http://dx.doi.org/10.1051/e3sconf/20184201003.

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Current studies conducted by JICA, AMPRI and IFC-World Bank, reported that large commercial buildings in Indonesia are not energy and water efficient. One of the cause is the lack of regulation. Meanwhile, effective regulations to reduce energy and water consumption are the concern mostly in a new building to obtain a building permit. This strategy is understandable as retrofitting existing buildings are often more difficult to be implemented, and enforcement is still a major issue in Indonesia. Local governments are currently working on streamlining building permit process as well as developing an online monitoring system for existing buildings. By applying a Building Energy Management System (BEMS) enables to reduce energy consumption up to 15%. An energy monitoring system was designed and installed through this research for Department of Nuclear Engineering and Engineering Physics (DNEEP) building, Faculty of Engineering, Universitas Gadjah Mada. It is a 20 years old two-story building used for educational activities, which consist of classrooms, laboratories, offices and storage spaces. An audit energy was done recently in 2015 where an energy consumption of 261.299,636 kWh/year.m2 was reported. In the existing condition, a power meter is inaccessible and therefore, the only feedback of occupancy behavior in the energy consumption is through the electricity bill. The previous study has shown that building occupants would behave more efficiently if the amount of energy used is notified, and the amount of energy savings are recorded. However, these energy monitoring systems are considered expensive and uniquely tailored for every building. This research aims to design and install a cost effective BEMS based on occupant’s satisfactory assessment of the lighting, acoustics, and air conditioning quality. The data will be used as a decision supporting system (DSS) by building management through the use of a GUI. The design of the interface was based on a survey result from the prospective users. Installed energy monitoring system uses a current sensor with an accuracy of 98% and a precision of 0.04 A while the voltage sensor with an accuracy of 98% and a precision of 0.58 V. The performance testing shows that the number of web clients influences delay of data transmission. The result of the survey shows that GUI is categorized as fair in design without a significant difference between the perceptions of users with and without survey supervision.
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Wang, Qiu Xia, and Chen Lin. "Energy Consumption Prediction and Monitoring System for Steel Structure Residential Buildings." Applied Mechanics and Materials 409-410 (September 2013): 553–56. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.553.

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Building energy consumption is a large proportion in energy consumption. In order to improve the building energy saving behavior, the building energy consumption prediction should be adopted in practice. Using the expert system to forecast and analyze energy consumption of a steel residential building in the north region, in which the factors: the power saving for buildings and the park electric equipment, heating system control, reclaimed water and solar energy are considered. The network monitoring system is established to realize monitoring energy consumption of buildings and parks. In this case, expert system network monitoring platform can provide managers with energy saving decision-making and environmental parameters and personnel information. Finally, the optimal control for equipments is realized by use of monitoring data.
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Lee, Sang-hak. "Monitoring-Based Building Energy Commissioning Technology." Journal of Korean Institute of Communications and Information Sciences 41, no. 7 (July 31, 2016): 765–67. http://dx.doi.org/10.7840/kics.2016.41.7.765.

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Zulkarnain, Novan. "Energy Monitoring System Berbasis Web." ComTech: Computer, Mathematics and Engineering Applications 4, no. 2 (December 1, 2013): 867. http://dx.doi.org/10.21512/comtech.v4i2.2524.

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Government through the Ministry of Energy and Mineral Resources (ESDM) encourages the energy savings at whole buildings in Indonesia. Energy Monitoring System (EMS) is a web-based solution to monitor energy usage in a building. The research methods used are the analysis, prototype design and testing. EMSconsists of hardware which consists of electrical sensors, temperature-humidity sensor, and a computer. Data on EMS are designed using Modbus protocol, stored in MySQL database application, and displayed on charts through Dashboard on LED TV using PHP programming.
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Seminara, Paola, Behrang Vand, Seyed Masoud Sajjadian, and Laura Tupenaite. "Assessing and Monitoring of Building Performance by Diverse Methods." Sustainability 14, no. 3 (January 22, 2022): 1242. http://dx.doi.org/10.3390/su14031242.

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Buildings are one of the largest contributors to energy consumption and greenhouse gas emissions (GHG) in the world. There is an increased interest in building performance evaluation as an essential practice to design a sustainable building. Building performance is influenced by various terms, for example, designs, construction-related factors such as building envelope and airtightness, and energy technologies with or without micro-generations. How well a building performs thermally is key to determining the level of energy demand and GHG emissions. Building standards and regulations, in combination with assessments (e.g., energy modeling tools) and certifications, provide sets of supports, guidelines and instructions for designers and building engineers to ensure users’ health and well-being, consistency in construction practices and environmental protection. This paper reviews, evaluates and suggests a sequence of building performance methods from the UK perspective. It shows the relationships between such methods, their evolutions and related tools, and further highlights the importance of post-occupancy analysis and how crucial such assessments could be for efficient buildings.
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Pawłowski, Krzystof. "The analysis of energy-saving technologies used in buildings with low energy consumption." Budownictwo i Architektura 18, no. 3 (January 20, 2020): 005–16. http://dx.doi.org/10.35784/bud-arch.563.

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Designing, constructing and using of buildings with low energy consumption are a complex process requiring knowledge of architectural design, construction physics and building systems with the use of renewable energy sources (RES). The article presents the legal bases and characteristics of low-energy buildings. Implementation of the binding technical requirements in the field of hygrothermal characteristics consists of monitoring numerous parameters of an entire building, and in particular of its partitions and their joints and building systems. Therefore, the paper presents calculations regarding determining the material systems of building partitions and building joints with the use of professional software. The main part of the article is to establish the impact of energy-saving technologies on the energy consumption of the newly designed buildings, but also of the buildings that are undergoing modernisation processes.
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Phan, Anh Tuan, Thi Tuyet Hong Vu, Dinh Quang Nguyen, Eleonora Riva Sanseverino, Hang Thi-Thuy Le, and Van Cong Bui. "Data Compensation with Gaussian Processes Regression: Application in Smart Building’s Sensor Network." Energies 15, no. 23 (December 4, 2022): 9190. http://dx.doi.org/10.3390/en15239190.

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Data play an essential role in the optimal control of smart buildings’ operation, especially in building energy-management for the target of nearly zero buildings. The building monitoring system is in charge of collecting and managing building data. However, device imperfections and failures of the monitoring system are likely to produce low-quality data, such as data loss and inconsistent data, which then seriously affect the control quality of the buildings. This paper proposes a new approach based on Gaussian process regression for data-quality monitoring and sensor network data compensation in smart buildings. The proposed method is proven to effectively detect and compensate for low-quality data thanks to the application of data analysis to the energy management monitoring system of a building model in Viet Nam. The research results provide a good opportunity to improve the efficiency of building energy-management systems and support the development of low-cost smart buildings.
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Burgas, Llorenç, Joaquim Melendez, Joan Colomer, Joaquim Massana, and Carles Pous. "Multivariate statistical monitoring of buildings. Case study: Energy monitoring of a social housing building." Energy and Buildings 103 (September 2015): 338–51. http://dx.doi.org/10.1016/j.enbuild.2015.06.069.

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Dissertations / Theses on the topic "Building energy monitoring"

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Robinson, Darren. "Integrated building environmental performance monitoring." Thesis, Anglia Ruskin University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263988.

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Massana, i. Raurich Joaquim. "Data-driven models for building energy efficiency monitoring." Doctoral thesis, Universitat de Girona, 2018. http://hdl.handle.net/10803/482148.

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Nowadays, energy is absolutely necessary all over the world. Taking into account the advantages that it presents in transport and the needs of homes and industry, energy is transformed into electricity. Bearing in mind the expansion of electricity, initiatives like Horizon 2020, pursue the objective of a more sustainable future: reducing the emissions of carbon and electricity consumption and increasing the use of renewable energies. As an answer to the shortcomings of the traditional electrical network, such as large distances to the point of consumption, low levels of flexibility, low sustainability, low quality of energy, the difficulties of storing electricity, etc., Smart Grids (SG), a natural evolution of the classical network, has appeared. One of the main components that will allow the SG to improve the traditional grid is the Energy Management System (EMS). The EMS is necessary to carry out the management of the power network system, and one of the main needs of the EMS is a prediction system: that is, to know in advance the electricity consumption. Besides, the utilities will also require predictions to manage the generation, maintenance and their investments. Therefore, it is necessary to dispose of the systems of prediction of the electrical consumption that, based on the available data, forecast the consumption of the next hours, days or months, in the most accurate way possible. It is in this field where the present research is placed since, due to the proliferation of sensor networks and more powerful computers, more precise prediction systems have been developed. Having said that, a complete study has been realized in the first work, taking into account the need to know, in depth, the state of the art, in relation to the load forecasting topic. On the basis of acquired knowledge, the installation of sensor networks, the collection of consumption data and modelling, using Autoregressive (AR) models, were performed in the second work. Once this model was defined, in the third work, another step was made, collecting new data, such as building occupancy, meteorology and indoor ambience, testing several paradigmatic models, such as Multiple Linear Regression (MLR), Artificial Neural Network (ANN) and Support Vector Regression (SVR), and establishing which exogenous data improves the prediction accuracy of the models. Reaching this point, and having corroborated that the use of occupancy data improves the prediction, there was the necessity of generating techniques and methodologies, in order to have the occupancy data in advance. Therefore, several attributes of artificial occupancy were designed, in order to perform long-term hourly consumption predictions, in the fourth work.
A dia d’avui l’energia és un bé completament necessari arreu del món. Degut als avantatges que presenta en el transport i a les necessitats de les llars i la indústria, l’energia és transformada en energia elèctrica. Tenint en compte la total expansió i domini de l’electricitat, iniciatives com Horitzó 2020, tenen per objectiu un futur més sostenible: reduint les emissions de carboni i el consum i incrementant l’ús de renovables. Partint dels defectes de la xarxa elèctrica clàssica, com són gran distància al punt de consum, poca flexibilitat, baixa sostenibilitat, baixa qualitat de l’energia, dificultats per a emmagatzemar energia, etc. apareixen les Smart Grid (SG), una evolució natural de la xarxa clàssica. Un dels principals elements que permetrà a les SG millorar les xarxes clàssiques és l’Energy Management System (EMS). Així doncs, per a que l’EMS pugui dur a terme la gestió dels diversos elements, una de les necessitats bàsiques dels EMS serà un sistema de predicció, o sigui, saber per endavant quin consum hi haurà en un entorn determinat. A més, les empreses subministradores d’electricitat també requeriran de prediccions per a gestionar la generació, el manteniment i fins i tot les inversions a llarg termini. Així doncs ens calen sistemes de predicció del consum elèctric que, partint de les dades disponibles, ens subministrin el consum que hi haurà d’aquí a unes hores, uns dies o uns mesos, de la manera més aproximada possible. És dins d’aquest camp on s’ubica la recerca que presentem. Degut a la proliferació de xarxes de sensors i computadors més potents, s’han pogut desenvolupar sistemes de predicció més precisos. A tall de resum, en el primer treball, i tenint en compte que s’havia de conèixer en profunditat l’estat de la qüestió en relació a la predicció del consum elèctric, es va fer una anàlisi completa de l’estat de l’art. Un cop fet això, i partint del coneixement adquirit, en el segon treball es va dur a terme la instal•lació de les xarxes de sensors, la recollida de dades de consum i el modelatge amb models lineals d’auto-regressió (AR). En el tercer treball, un cop fets els models es va anar un pas més enllà recollint dades d’ocupació, de meteorologia i ambient interior, provant diferents models paradigmàtics com Multiple Linear Regression (MLR), Artificial Neural Network (ANN) i Support Vector Regression (SVR) i establint quines dades exògenes milloren la predicció dels models. Arribat a aquest punt, i havent corroborat que l’ús de dades d’ocupació millora la predicció, es van generar tècniques per tal de disposar de les dades d’ocupació per endavant, o sigui a hores vista. D’aquesta manera es van dissenyar diferents atributs d’ocupació artificials, permetent-nos fer prediccions horàries de consum a llarg termini. Aquests conceptes s’expliquen en profunditat al quart treball.
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Fifield, Louis-James. "Monitoring UK hospital building type performance." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/24623.

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The British National Health Service (NHS) is one of the largest public services in the world and consequentially in 2004 it produced 25% of the total public sector carbon emissions for England. To meet national carbon targets the NHS must reduce its emissions; 26% by 2020, 64% by 2030, 80% by 2050 and is therefore interested in the development of strategies for reducing carbon dioxide emissions from buildings. The NHS building stock consists of a range of building archetypes constructed over the past 100 years. The energy used for heating and cooling hospital premises is the source of 22% of all NHS carbon emissions. The individual buildings are distributed across hospital sites that often have centralised energy plants, which make it difficult to monitor energy consumption on an individual building level. This thesis develops a method for monitoring the energy consumption of individual hospital buildings. The method was implemented on three case study buildings at Bradford Royal infirmary (BRI); a 1920s Nightingale, a nucleus and a modern modular building. Lessons were gathered from these studies to advance the knowledge on monitoring in UK hospitals. One of the key findings was that empirical models based on measured data are useful for estimating individual buildings annual heating energy consumption. The results show that the mechanically ventilated nucleus building had the highest energy consumption (808.7kWh/m2), followed by the naturally ventilated Nightingale building (420.7kWh/m2) and then the mixed-mode modular building (289.0kWh/m2). The internal environment was optimal in the nucleus building, but the Nightingale and modular buildings underperformed, with the modular overheating in summer and both buildings failing to meet air quality recommendations. Taking energy consumption and summer thermal resilience into consideration the Nightingale building had the best performance, demonstrating the longevity of the traditional design. The work identified a number of useful hospital design features; well-insulated heavyweight building fabric, well-controlled space heating, use of heat recovery ventilation and installation of localised monitoring equipment. Further useful research into this area could involve: using dynamic thermal simulation to test recommended building design features, investigating the monitoring method on a wider sample of sites and investigating air quality monitoring in hospitals.
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Gulbinas, Rimas Viktoras. "Motivating and Quantifying Energy Efficient Behavior among Commercial Building Occupants." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64867.

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The environmental and economic consequences of climate change are severe and are being exacerbated by increased global carbon emissions. In the United States, buildings account for over 40% of all domestic and 7.4% of all global CO2 emissions and therefore represent an important target for energy conservation initiatives. Even marginal energy savings across all buildings could have a profound effect on carbon emission mitigation. In order to realize the full potential of energy savings in the building sector, it is essential to maximize the energy efficiency of both buildings and the behavior of occupants who occupy them. In this vein, systems that collect and communicate building energy-use information to occupants (i.e. eco-feedback systems) have been demonstrated to motivate building occupants to significantly reduce overall building energy consumption. Furthermore, advancements in building sensor technologies and data processing capabilities have enabled the development of advanced eco-feedback systems that also allow building occupants to share energy-use data with one another and to collectively act to reduce energy consumption. In addition to monitoring building occupant energy-use, these systems are capable of collecting data about specific conservation actions taken by occupants and their interactions with different features of the eco-feedback system. However, despite recent advancements in eco-feedback and building sensor technologies, very few systems have been specifically designed to enable research on the effectiveness of different behavior-based energy conservation strategies in commercial buildings. Consequently, very little research has been conducted on how access to such systems impacts the energy-use behavior of building occupants. In this dissertation, I describe how my research over the past three years has advanced an understanding of how eco-feedback systems can impact the energy-use behavior of commercial building occupants. First, I present a novel eco-feedback system that I developed to connect building occupants over energy-use data and empower them to conserve energy while also collecting data that enables controlled studies to quantify the impacts of a wide variety of energy conservation strategies. Next, I present a commercial building study in which this eco-feedback system was used to investigate the effects of organizational network dynamics on the energy-use of individuals. I then introduce a new set of metrics based on individual energy-use data that enables the classification of individuals and building occupant networks based on their energy-use efficiency and predictability. I describe the principles behind the construction of these metrics and demonstrate how these quantitative measures can be used to increase the efficacy of behavior-based conservation campaigns by enabling targeted interventions. I conclude the dissertation with a discussion about the limitations of my research and the new research avenues that it has enabled.
Ph. D.
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Day, Antony R. "An investigation into the estimation and weather normalisation of energy consumption in buildings using degree-days." Thesis, London South Bank University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298021.

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Doylend, Nicholas. "Evaluating building energy performance : a lifecycle risk management methodology." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/18022.

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There is widespread acceptance of the need to reduce energy consumption within the built environment. Despite this, there are often large discrepancies between the energy performance aspiration and operational reality of modern buildings. The application of existing mitigation measures appears to be piecemeal and lacks a whole-system approach to the problem. This Engineering Doctorate aims to identify common reasons for performance discrepancies and develop a methodology for risk mitigation. Existing literature was reviewed in detail to identify individual factors contributing to the risk of a building failing to meet performance aspirations. Risk factors thus identified were assembled into a taxonomy that forms the basis of a methodology for identifying and evaluating performance risk. A detailed case study was used to investigate performance at whole-building and sub-system levels. A probabilistic approach to estimating system energy consumption was also developed to provide a simple and workable improvement to industry best practice. Analysis of monitoring data revealed that, even after accounting for the absence of unregulated loads in the design estimates, annual operational energy consumption was over twice the design figure. A significant part of this discrepancy was due to the space heating sub-system, which used more than four times its estimated energy consumption, and the domestic hot water sub-system, which used more than twice. These discrepancies were the result of whole-system lifecycle risk factors ranging from design decisions and construction project management to occupant behaviour and staff training. Application of the probabilistic technique to the estimate of domestic hot water consumption revealed that the discrepancies observed could be predicted given the uncertainties in the design assumptions. The risk taxonomy was used to identify factors present in the results of the qualitative case study evaluation. This work has built on practical building evaluation techniques to develop a new way of evaluating both the uncertainty in energy performance estimates and the presence of lifecycle performance risks. These techniques form a risk management methodology that can be applied usefully throughout the project lifecycle.
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Skön, J. P. (Jukka-Pekka). "Intelligent information processing in building monitoring systems and applications." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526209913.

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Abstract Global warming has set in motion a trend for cutting energy costs to reduce the carbon footprint. Reducing energy consumption, cutting greenhouse gas emissions and eliminating energy wastage are among the main goals of the European Union (EU). The buildings sector is the largest user of energy and CO2 emitter in the EU, estimated at approximately 40% of the total consumption. According to the International Panel on Climate Change, 30% of the energy used in buildings could be reduced with net economic benefits by 2030. At the same time, indoor air quality is recognized more and more as a distinct health hazard. Because of these two factors, energy efficiency and healthy housing have become active topics in international research. The main aims of this thesis were to study and develop a wireless building monitoring and control system that will produce valuable information and services for end-users using computational methods. In addition, the technology developed in this thesis relies heavily on building automation systems (BAS) and some parts of the concept termed the “Internet of Things” (IoT). The data refining process used is called knowledge discovery from data (KDD) and contains methods for data acquisition, pre-processing, modeling, visualization and interpreting the results and then sharing the new information with the end-users. In this thesis, four examples of data analysis and knowledge deployment are presented. The results of the case studies show that innovative use of computational methods provides a good basis for researching and developing new information services. In addition, the data mining methods used, such as regression and clustering completed with efficient data pre-processing methods, have a great potential to process a large amount of multivariate data effectively. The innovative and effective use of digital information is a key element in the creation of new information services. The service business in the building sector is significant, but plenty of new possibilities await capable and advanced companies or organizations. In addition, end-users, such as building maintenance personnel and residents, should be taken into account in the early stage of the data refining process. Furthermore, more advantages can be gained by courageous co-operation between companies and organizations, by utilizing computational methods for data processing to produce valuable information and by using the latest technologies in the research and development of new innovations
Tiivistelmä Rakennus- ja kiinteistösektori on suurin fossiilisilla polttoaineilla tuotetun energian käyttäjä. Noin 40 prosenttia kaikesta energiankulutuksesta liittyy rakennuksiin, rakentamiseen, rakennusmateriaaleihin ja rakennuksien ylläpitoon. Ilmastonmuutoksen ehkäisyssä rakennusten energiankäytön vähentämisellä on suuri merkitys ja rakennuksissa energiansäästöpotentiaali on suurin. Tämän seurauksena yhä tiiviimpi ja energiatehokkaampi rakentaminen asettaa haasteita hyvän sisäilman laadun turvaamiselle. Näistä seikoista johtuen sisäilman laadun tutkiminen ja jatkuvatoiminen mittaaminen on tärkeää. Väitöskirjan päätavoitteena on kuvata kehitetty energiankulutuksen ja sisäilman laadun monitorointijärjestelmä. Järjestelmän tuottamaa mittaustietoa on jalostettu eri loppukäyttäjiä palvelevaan muotoon. Tiedonjalostusprosessi koostuu tiedon keräämisestä, esikäsittelystä, tiedonlouhinnasta, visualisoinnista, tulosten tulkitsemisesta ja oleellisen tiedon välittämisestä loppukäyttäjille. Aineiston analysointiin on käytetty tiedonlouhintamenetelmiä, kuten esimerkiksi klusterointia ja ennustavaa mallintamista. Väitöskirjan toisena tavoitteena on tuoda esille jatkuvatoimiseen mittaamiseen liittyviä haasteita sekä rohkaista yrityksiä ja organisaatioita käyttämään tietovarantoja monipuolisemmin ja tehokkaammin. Väitöskirja pohjautuu viiteen julkaisuun, joissa kuvataan kehitetty monitorointijärjestelmä, osoitetaan tiedonjalostusprosessin toimivuus erilaisissa tapauksissa ja esitetään esimerkkejä kuhunkin prosessivaiheeseen soveltuvista laskennallisista menetelmistä. Julkaisuissa on kuvattu energiankulutuksen ja sisäilman laadun informaatiopalvelu sekä sisäilman laatuun liittyviä data-analyysejä omakoti- ja kerrostaloissa sekä koulurakennuksissa. Innovatiivinen digitaalisen tiedon hyödyntäminen on avainasemassa kehitettäessä uusia informaatiopalveluita. Kiinteistöalalle on kehitetty lukuisia informaatioon pohjautuvia palveluita, mutta ala tarjoaa edelleen hyviä liiketoimintamahdollisuuksia kyvykkäille ja kehittyneille yrityksille sekä organisaatioille
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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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Riou, Mael. "Monitoring and data acquisition system for the photovoltaic training facility on the engineering and energy building." Thesis, Riou, Mael (2012) Monitoring and data acquisition system for the photovoltaic training facility on the engineering and energy building. Other thesis, Murdoch University, 2012. https://researchrepository.murdoch.edu.au/id/eprint/13119/.

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Solar energy is developing fast in Australia, particularly with the installations of grid-connected photovoltaic (PV) systems. Increasing photovoltaic penetration levels causes; however, power quality issues to electricity network operators, due to intermittency of solar energy. In this report, we discuss the need for high resolution data on solar radiation and system performance to be used for solar energy forecasting in the short, medium and long term. This document proposes the implementation of a monitoring system for the Photovoltaic Training Facility on the rooftop of the Engineering & Energy Building at Murdoch University. The design process is described here to illustrate how the final system has been adapted to specific requirements for this facility. The design of the monitoring system has been chosen to address the issue of solar energy intermittency in addition to fulfilling general requirements for monitoring PV array performance. Because the facility is not yet commissioned, the study only focused on environmental data monitoring with recommendations for further work involving integration of inverters’ communication. The designed monitoring system consists of various environmental sensors including pyranometers, anemometers, RTD temperature sensors and a wind vane, as well as communication interfaces for the various inverters. Data acquisition was selected to be based on remote I/O modules from the Advantech’s ADAM 4000 Series that were satisfying the requirement of sampling at a rate less than 1 second. In addition, the report describes the development of two user interfaces using the Labview programming software to monitor data from the facility. Testing of programs through recording solar radiation over a 1 hour period confirmed the possibility to collect measurements of solar radiation fast enough so that intermittency of solar energy can be observed. Data will be documented and shared to provide a useful resource on Perth solar energy and PV intermittency.
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Hoque, Mohammed. "The application of condition based monitoring techniques for the evaluation of building energy performance and HVAC health." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/the-application-of-condition-based-monitoring-techniques-for-the-evaluation-of-building-energy-performance-and-hvac-health(e7459d62-06cf-4f32-bfd7-44c10f1ab8d6).html.

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Carbon emissions generated by the building sector have come under stricter limits with the amendments to Approved Document L: Conservation of Fuel and Power of the building regulations for England and Wales. Building designs are now checked to ensure that new constructions have the designed capabilities to operate with a higher standard of efficiency. However, there are currently no means of ensuring that the mandatory improvements in design and construction are actually translating into real life improvements during the actual operation of the building. Assessment methodologies such as the Display Energy Certificate are applied annually. The large interval between audits has the potential risk that poor performance may go unnoticed for prolonged periods of time. Real time assessment of energy performance that is linked to legislative requirements would aid the process of ensuring reductions in carbon emissions occur in reality. Evaluating the energy performance in real time is not a straight forward task; commercial buildings are complex nonlinear dynamic systems with a number of operating states, functions and features. These factors need to be taken into consideration for the fair appraisal of energy performance. Condition monitoring has been applied extensively to the field of machine health, in which the state of a system is determined through measuring the parameters that are indicative of its health. Within this thesis, a unique method of real time energy performance has been developed along with the implementation of two condition monitoring strategies for the purposes of state evaluation and fault detection and diagnosis. Kernel based dimensionality techniques have recently gained popularity as a means of modelling nonlinear systems. It was found that the application of nonlinear condition monitoring strategies for determination of building state was proficient in determining slow developing faults and abrupt changes in building state. However, the occurrences of non-acceptable incipient changes in state were harder to detect. Hence the state evaluation techniques were complemented with component level fault detection and diagnosis techniques. These techniques have the combined ability to address the requirement for assessing the state of operation within a building to allow for fair appraisal of the energy performance.
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Books on the topic "Building energy monitoring"

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Hyde, Timothy Ronald. Integrated building energy management and condition monitoring ssystems. Manchester: University of Manchester, 1995.

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Lyberg, Mats Douglas. Building thermal performance: Techniques for analysis auditing and monitoring. Gävle: Swedish Institute for Building Research, 1993.

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Gilani, Syed Ihtsham-ul-Haq. Instrumental monitoring, computer simulation and statistical evaluation of a transparently insulated solar energy building. Birmingham: University of Birmingham, 1992.

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D, Campbell Tom J., and Aspatore Inc, eds. Client strategies for alternative energy and efficiency: Leading lawyers on utilizing new resources, building relationships with environmental agencies, and monitoring trends for clients. [Boston, Mass.]: Aspatore Books, 2008.

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D, Campbell Tom J., and Aspatore Inc, eds. Client strategies for alternative energy and efficiency: Leading lawyers on utilizing new resources, building relationships with environmental agencies, and monitoring trends for clients. [Boston, Mass.]: Aspatore Books, 2008.

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Hough, Robert E. Field monitoring of energy use. Washington, D.C: National Rural Electric Cooperative Association, 1995.

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Jankovic, Ljubomir. Solar energy monitoring, control and analysis in buildings. Birmingham: University ofBirmingham, 1988.

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Canada Centre for Mineral and Energy Technology. Green on the Grand: Final Monitoring Report. Ottawa, Ont: CANMET, 1999.

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Håkansson, Anne. Sustainability in Energy and Buildings: Proceedings of the 4th International Conference in Sustainability in Energy and Buildings (SEB´12). Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Apte, Michael G. Improving ventilation & saving energy : final report on indoor environmental quality & energy monitoring in sixteen relocatable classrooms: Final project report. [Sacramento, Calif.]: California Energy Commission, 2012.

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Book chapters on the topic "Building energy monitoring"

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Summerfield, Alex, Hector Altamirano-Medina, and Dejan Mumovic. "Energy and Environmental Monitoring." In A Handbook of Sustainable Building Design and Engineering, 169–86. Second edition. | Abingdon, Oxon ; New York, NY : Routledge, [2018]: Routledge, 2018. http://dx.doi.org/10.1201/9781315172026-14.

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Paolo Corgnati, Stefano, Vincenzo Corrado, Ilaria Ballarini, and Cristina Becchio. "Energy Benchmarking and Monitoring." In A Handbook of Sustainable Building Design and Engineering, 78–94. Second edition. | Abingdon, Oxon ; New York, NY : Routledge, [2018]: Routledge, 2018. http://dx.doi.org/10.1201/9781315172026-8.

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Tamaş (Papuc), Elena C. "Energy Consumption Monitoring and Building Performances in a Commercial Building: Case Study." In Springer Proceedings in Energy, 21–32. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31459-0_2.

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Azizi, Elnaz, Mohammad T. H. Beheshti, and Sadegh Bolouki. "Non-intrusive Load Monitoring and Its Application in Energy Flexibility Potential Extraction of Active Buildings." In Active Building Energy Systems, 331–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79742-3_13.

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Scorza, Francesco. "Smart Monitoring System for Energy Performance in Public Building." In Computational Science and Its Applications -- ICCSA 2015, 767–74. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21407-8_55.

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Bouktif, Salah, and Waleed K. Ahmed. "Monitoring Framework for Cost-Effective Energy Consumption in a Building." In ICREGA’14 - Renewable Energy: Generation and Applications, 233–40. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05708-8_18.

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Sivieri, Alessandro. "Poster Abstract: Velux-Lab—Monitoring a Nearly Zero Energy Building." In Lecture Notes in Electrical Engineering, 55–59. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03071-5_5.

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Xie, Mo-Wen, Yan-Chang Jia, Fu-Xia Lv, and Sheng-Xiang Chang. "A comprehensive information system for landslide monitoring based on a three-dimensional geographic information system." In Green Building, Environment, Energy and Civil Engineering, 289–94. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315375106-62.

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Zhou, Shan, Baizhan Li, Hong Liu, Yuxin Wu, and Runming Yao. "Optimising Building Energy Consumption Using Energy Monitoring and Management: Case Study in University of Reading, UK." In Innovative Renewable Energy, 773–76. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76221-6_85.

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Li, Lu-ming, Zhi-ming Liu, Zhi-guo Zhang, and Ci-lin Liu. "Application of the catenary method and FBG sensors to monitoring ice thickness of power transmission lines." In Green Building, Environment, Energy and Civil Engineering, 359–62. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315375106-77.

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Conference papers on the topic "Building energy monitoring"

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Sankey, Maxim L., Sheldon M. Jeter, Trevor D. Wolf, Donald P. Alexander, Gregory M. Spiro, and Ben Mason. "Continuous Monitoring, Modeling, and Evaluation of Actual Building Energy Systems." In ASME 2014 8th International Conference on Energy Sustainability collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/es2014-6610.

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Residential and commercial buildings account for more than 40% of U.S. energy consumption, most of which is related to heating, ventilation and air conditioning (HVAC). Consequently, energy conservation is important to building owners and to the economy generally. In this paper we describe a process under development to continuously evaluate a building’s heating and cooling energy performance in near real-time with a procedure we call Continuous Monitoring, Modeling, and Evaluation (CMME). The concept of CMME is to model the expected operation of a building energy system with actual weather and internal load data and then compare modeled energy consumption with actual energy consumption. For this paper we modeled two buildings on the Georgia Institute of Technology campus. After creating our building models, internal lighting loads and equipment plug-loads were collected through electrical sub-metering, while the building occupancy load was recorded using doorway mounted people counters. We also collected on site weather and solar radiation data. All internal loads were input into the models and simulated with the actual weather data. We evaluated the building’s overall performance by comparing the modeled heating and cooling energy consumption with the building’s actual heating and cooling energy consumption. Our results demonstrated generally acceptable energy performance for both buildings; nevertheless, certain specific energy inefficiencies were discovered and corrective actions are being taken. This experience shows that CMME is a practical procedure for improving the performance of actual well performing buildings. With improved techniques, we believe the CMME procedure could be fully automated and notify building owners in real-time of sub-optimal building performance.
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KRISHNAMURTHY, KARTHIK, PRADEEP SINGH, and NIKHIL SRIRAMAN. "A Hybrid Architecture for Building Energy Optimization." In Structural Health Monitoring 2019. Lancaster, PA: DEStech Publications, Inc., 2019. http://dx.doi.org/10.12783/shm2019/32447.

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Béguery, Patrick, Melec Petit-Pierre, Henri Obara, Romain Brunet, Sophie Marat, and Max Boegli. "Building Energy Simulation Coupled With Real Data For Enhanced Monitoring Analysis." In 2017 Building Simulation Conference. IBPSA, 2017. http://dx.doi.org/10.26868/25222708.2017.092.

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Fabi, Valentina, Verena M. Barthelmes, Yeonsook Heo, and Stefano P. Corgnati-. "Monitoring And Stimulating Energy Behavioural Change in University Buildings Towards Post Carbon Cities." In 2017 Building Simulation Conference. IBPSA, 2017. http://dx.doi.org/10.26868/25222708.2017.111.

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Bocheng, Zhong. "Design of Building Energy Monitoring and Management System." In 2012 International Conference on Business Computing and Global Informatization (BCGIN). IEEE, 2012. http://dx.doi.org/10.1109/bcgin.2012.173.

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Yongpan, Chen, Mu Xianmin, Zhang Jili, and Lu Zhen. "Development of Monitoring System of Building Energy Consumption." In 2009 International Forum on Computer Science-Technology and Applications. IEEE, 2009. http://dx.doi.org/10.1109/ifcsta.2009.211.

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IOSIF, BOROS, DAN DANIEL, FLORUT CODRUT, and NAGY GYORGY TAMAS. "Monitoring Strategy for an Energy Efficient School Building." In Second International Conference on Advances in Civil, Structural and Mechanical Engineering - ACSM 2015. Institute of Research Engineers and Doctors, 2015. http://dx.doi.org/10.15224/978-1-63248-074-3-72.

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"Optimization Sampling for Building Energy Consumption Monitoring System." In Universal Researchers. Universal Researchers, 2015. http://dx.doi.org/10.17758/ur.u0315317.

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Zylka, Pawel, and Dominik Pociecha. "Energy harvesting schemes for building interior environment monitoring." In 14th International Conference on Optical and Electronic Sensors, edited by Piotr Jasiński. SPIE, 2016. http://dx.doi.org/10.1117/12.2244997.

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Guo, Wenqi Wendy, Tania Ullah, and MengChu Zhou. "Evaluating feedback systems for residential building energy monitoring." In 2013 IEEE International Conference on Automation Science and Engineering (CASE 2013). IEEE, 2013. http://dx.doi.org/10.1109/coase.2013.6654058.

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Reports on the topic "Building energy monitoring"

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Hong, Tianzhen, Wei Feng, Alison Lu, Jianjun Xia, Le Yang, Qi Shen, Piljae Im, and Mahabir Bhandari. Building Energy Monitoring and Analysis. Office of Scientific and Technical Information (OSTI), June 2013. http://dx.doi.org/10.2172/1129525.

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Hong, Tianzhen, Wei Feng, Alison Lu, Jianjun Xia, Le Yang, Qi Shen, Piljae Im, and Mahabir Bhandari. Building Energy Monitoring and Analysis. Office of Scientific and Technical Information (OSTI), June 2013. http://dx.doi.org/10.2172/1134237.

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Wilcox, Hannah. Virtual Metering for Monitoring Building Energy Consumption. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1643893.

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Bush, Joseph, Eileen Westervelt, Brian Clark, David Schwenk, Stephen Briggs, Daniel Shepard, Michael Cary Long, Tapan Patel, Melanie Johnson, and Eric Lynch. Installation utility monitoring and control system technical guide. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45081.

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Army policy calls for each installation to install a building automation system (aka utility monitoring and control system [UMCS]) to provide for centralized monitoring of buildings and utilities to reduce energy and water commodity and maintenance costs. Typically, the UMCS, including building control systems (BCS), is installed and expanded in piecemeal fashion resulting in intersystem incompatibilities. The integration of multivendor BCSs into a single basewide UMCS, and subsequent UMCS operation, can present technical and administrative challenges due to its complexity and cybersecurity requirements. Open Control Systems technology and open communications protocols, including BACnet, LonWorks, and Niagara Framework, help overcome technical incompatibilities. Additional practical considerations include funding, control systems commissioning, staffing, training, and the need for a commitment to proper operation, use, and sustainment of the UMCS. This document provides guidance to Army installations to help achieve a successful basewide UMCS through its full life cycle based on DoD criteria and technical requirements for Open Control Systems and cybersecurity. It includes institutional knowledge on technical solutions and business processes amassed from decades of collaboration with Army installations and learned from and with their staff. Detailed activities spanning both implementation and sustainment include planning, procurement, installation, integration, cybersecurity authorization, and ongoing management.
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Linda Stetzenbach, Lauren Nemnich, and Davor Novosel. Statistical Analysis and Interpretation of Building Characterization, Indoor Environmental Quality Monitoring and Energy Usage Data from Office Buildings and Classrooms in the United States. Office of Scientific and Technical Information (OSTI), August 2009. http://dx.doi.org/10.2172/1004553.

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Subbarao, K. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring. Office of Scientific and Technical Information (OSTI), September 1988. http://dx.doi.org/10.2172/6715546.

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Subbarao, K. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring: A summary. Office of Scientific and Technical Information (OSTI), September 1988. http://dx.doi.org/10.2172/6715518.

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Habert, Guillaume, and Francesco Pittau. Joint synthesis “Sustainable Concrete Structures” of the NRP “Energy”. Swiss National Science Foundation (SNSF), February 2020. http://dx.doi.org/10.46446/publication_nrp70_nrp71.2020.5.en.

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All structures in Switzerland - that is, all buildings, roads, infrastructure constructions and so on - consume over their entire life cycle around 50 % of Switzerland's final energy requirement. They are also responsible for around 30 % of emissions of the greenhouse gas CO2. In recent decades, the energy requirements and CO2 emissions resulting from the use of such structures have fallen sharply. However, the grey energy contained within the structures as well as the CO2 emissions associated with the construction, renovation and demolition of buildings, remain high. There is great potential for improvement here. The joint project “Low energy concrete” provides an important basis for transforming the construction industry into a sustainable sector. It primarily focuses on the building material concrete, which is responsible for an especially high amount of grey energy and significant CO2 emissions. The results of this joint project are summarised and interpreted in this synthesis on “Sustainable Concrete Structures”. The chief objectives of the joint project were as follows: CO2 emissions and grey energy are reduced by drastically decreasing the amount of clinker in the cement. Grey energy is reduced by replacing reinforcing and prestressing steel in concrete structures with wood and plastic. The service life of the structures is extended by professional monitoring and adequate renovation measures; this reduces the average annual grey energy and CO2 emissions. The research work shows that the CO2 emissions caused by concrete and concrete structures can be reduced by a factor of 4, while the bound grey energy can be decreased by a factor of 3.
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Johra, Hicham. Assembling temperature sensors: thermocouples and resistance temperature detectors RTD (Pt100). Department of the Built Environment, Aalborg University, December 2020. http://dx.doi.org/10.54337/aau449755797.

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Temperature is one of the most common physical quantities (measurand) to be measured in experimental investigations, monitoring and control of building indoor environment, thermal comfort and building energy performance. The most common temperature sensors are the thermocouples and the resistance temperature detectors (RTDs). These analog sensors are cheap, accurate, durable and easy to replace or to repair. The cable of these sensors can easily be shortened or extended. These sensors have a simple, monotonic and stable correlation between the sensor’s temperature and their resistance/voltage output, which makes them ideal for temperature measurement with electronic logging equipment. This technical report aims at providing clear guidelines about how to assemble and mount type-K thermocouples and Pt100 RTDs. These are the most common temperature sensors used in the Laboratory of Building Energy and Indoor Environment at the Department of the Built Environment of Aalborg University.
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MacDonald, J., T. Sharp, and M. Gettings. A protocol for monitoring energy efficency improvements in commercial and related buildings. Office of Scientific and Technical Information (OSTI), September 1989. http://dx.doi.org/10.2172/5686531.

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