Journal articles on the topic 'Energy management in building'
To see the other types of publications on this topic, follow the link: Energy management in building.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Energy management in building.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Yin, Hang. "Building Management System to support building renovation." Boolean: Snapshots of Doctoral Research at University College Cork, no. 2010 (January 1, 2010): 164–69. http://dx.doi.org/10.33178/boolean.2010.37.
Full textAbstract:
Many publications have concluded that around 40% of the world’s energy costs are incurred in buildings. The biggest energy users in a building are facilities which cover 40% to 60% of the total energy cost. In recent years, construction work undertaken in building renovation and rehabilitation has increased considerably. Technical renovations have always brought better building management. Modern technology has a more user friendly interface as well as giving us the successful management of building systems and associated reduced costs. In order to implement more energy efficiency in existing buildings, Building Management System (BMS) and Building Information Modelling (BIM) play important roles in the energy & cost savings of the building’s life. This paper emphasises the use of Information and Communication Technology (ICT) to support and justify essential building renovation that will improve a building’s performance and decrease annual energy costs. We will present an introduction to BMS and BIM ...
2
El Khaili, Mohamed, Redouane Marhoum, Chaimaa Fouhad, and Hassan Ouajji. "Contribution to Multi-Energy Flow Management for Building Energy Hub." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 01 (March 1, 2021): 27–34. http://dx.doi.org/10.5383/juspn.15.01.004.
Full textAbstract:
Global demand for primary fossil energy continues to increase. However, the production of energy from fossil fuels, in addition to depleting available reserves, releases millions of tons of Greenhouse Gas (GHG) into the atmosphere. Thus, it is obvious that the high concentration of GHGs in the air disrupts the natural greenhouse effect and consequently causes global warming. The implementation of action plans aimed at reducing greenhouse gas emissions has led all countries to use clean energy sources (sun, earth, wind) called renewable energies and also to rationalize the use of energies whether based on fossil fuels or renewable. Our paper presents a modeling of the demand and its management to ensure an optimization of the energy consumption and the reduction of its bill
3
A. Gabbar, Hossam, Ahmed Eldessouky, and Jason Runge. "Evaluation of renewable energy deployment scenarios for building energy management." AIMS Energy 4, no. 5 (2016): 742–61. http://dx.doi.org/10.3934/energy.2016.5.742.
Full text
4
Yoon, Seok-Ho, Seung-Yeon Kim, Geon-Hee Park, Yi-Kang Kim, Choong-Ho Cho, and Byung-Hun Park. "Multiple power-based building energy management system for efficient management of building energy." Sustainable Cities and Society 42 (October 2018): 462–70. http://dx.doi.org/10.1016/j.scs.2018.08.008.
Full text
5
Siregar, Marsul, Firma Purbantoro, and Tajuddin Nur. "Implementation of Energy Management Concept and Energy Management System in High Rise Office Building." Jurnal TIARSIE 16, no. 3 (September 30, 2019): 85. http://dx.doi.org/10.32816/tiarsie.v16i3.55.
Full textAbstract:
Energy Management Concept as part of Green Building Concept is focused to Improve Energy Efficiency Index (EEI) and Water Consumption Index (WCI). The Implementation Energy Management Concept in an office buildings of this study based on the management system model of continual improvement ISO 50001:2011. The purpose of this study was to determine the extent to which the implementation of green building principles in Office Buildings. This study took the case study in an office building in Jakarta Indonesia that has two towers, each tower has 32 floors and 3 basement floors. The method used is descriptive with respect to GREENSHIP Rating Tools for existing building which consists of six categories; Appropriate Site Development (ASD), Energy Efficiency & Conservation (EEC), Water Conservation (WAC), Material Resources & Cycle (MRC), Indoor Air Health & Comfort (IHC) and Building & Environments Management (BEM). The results show that implementation the Energy Management Concept could also made energy performance more efficient, after Implementing through Retrofitting of the Chiller System, Recycle Waste Water, Replacement of Conventional lamp to Energy Saving LED and also Training and Education to all employees and tenants. From comparing data research before implementation of Energy Management Concept in 2014 and after Implementation and retrofitting in 2016, 2017 & 2018, it is found that Energy Efficiency Index (EEI) from 238.8 kwh/m2/Years to 134,04kwh/m2/Year and Water Consumption Index (WCI)From 50 liter/person/Day to 27.18 Liter/person/Day. And the saving cost from electricity bill payments is IDR. 466,803,325.67 / month (18%) and roughly will Break Event Point (BEP) for 3.86 Years
6
Kamali, Saeed, Golrokh Khakzar, and Soolmaz Abdali Hajiabadi. "Effect of Building Management System on Energy Saving." Advanced Materials Research 856 (December 2013): 333–37. http://dx.doi.org/10.4028/www.scientific.net/amr.856.333.
Full textAbstract:
Without any doubt, one of the most worldwide challenging and controversial issues in the current century is the energy problem. In most countries, the increase of energy consumption, especially in building, has made energy saving and efficiency strategies important target for energy policies. In general, there are many ways to save energy. The most common method of economizing is within culturalization. For such purpose, building energy management system (BEMS) is considered as the latest idea of energy. Having a dynamic environment, smart buildings are affordable by the integration of four main elements: systems, structure, service, management, and the relationship between them. Intelligent buildings provide these benefits through intelligent control systems. In this paper, while introducing the energy management in buildings, it studies their applications and also their effects on management and optimization of energy consumption. The office building in San Francisco, USA with 66,943 ft2 area is considered as a case study for this research. Energy consumption is reduced 50 percent by implementing BMS in this building.
7
Be´nard, C., B. Guerrier, and M. M. Rosset-Loue¨rat. "Optimal Building Energy Management: Part I—Modeling." Journal of Solar Energy Engineering 114, no. 1 (February 1, 1992): 2–12. http://dx.doi.org/10.1115/1.2929978.
Full textAbstract:
We analyze the advantages of solving building energy management problems with the techniques of optimal control. Our approach consists of describing the dynamic behavior of a heated building with a simple model and controlling the whole system by minimizing a criterion defined for a time horizon of a few days. The two control components are the heat delivered to the building, and the variable heat exchange through the building envelope. In Part I, input (control and meteorological data) and output (indoor temperature) are related through a simplified state-space representation of the building. Part II is devoted to the actual computation of the control input. Results are given for two categories of buildings: The first is characterized by important direct solar gains. The inside structure is of low thermal inertia and so is the heating system. The second type of building is well insulated, with less glazing and less solar gain. The heavy internal structure of the building and the distribution of heat give a large thermal inertia to the system.
8
Taesler, Roger. "Climate and building energy management." Energy and Buildings 16, no. 1-2 (January 1991): 599–608. http://dx.doi.org/10.1016/0378-7788(91)90028-2.
Full text
9
Gabbar, Hossam A., and Ahmed S. Eldessouky. "Energy Semantic Network for Building Energy Management." Intelligent Industrial Systems 1, no. 3 (September 2, 2015): 213–31. http://dx.doi.org/10.1007/s40903-015-0023-8.
Full text
10
Määttänen, Eeva, Riikka Kyrö, Anna Aaltonen, Anna-Liisa Sarasoja, and Seppo Junnila. "Remote energy management benefits in retail building portfolios." Journal of Facilities Management 12, no. 1 (January 28, 2014): 56–71. http://dx.doi.org/10.1108/jfm-09-2012-0043.
Full textAbstract:
Purpose – The study aims to investigate the effects of a remote energy management service to the energy consumption of retail buildings. The study focuses on analysing the changes in energy consumption after the implementation of a facility service concept where building processes are optimized with a remote energy management system. The paper seeks to demonstrate that remotely operated building management practices, which allow high competence service for all facilities, have a positive impact, beyond traditional facility services, on energy and environmental performance of buildings. Design/methodology/approach – The research analyses the metered energy consumption of two retail building portfolios comprising altogether 44 properties. Additionally, secondary data are collected from archive reviews, observation and interviews. Findings – The research shows that remote energy management service reduced the total energy consumption during the two-year service period by 12 and 6 per cent depending on the portfolio. Electricity consumption was found to decrease by 7 per cent and heating energy by 26 per cent on the average in the first portfolio, and 7 and 4 per cent in the second one, respectively. Research limitations/implications – Variation between buildings was found to be relatively high as the individual characteristics and history of the different buildings inevitably affect the achieved results. Practical implications – The study indicates that remote energy management offers an effective means to reduce the energy consumption and costs, and ultimately climate impacts derived from buildings. Originality/value – The study adds to the knowledge of facilities management in context to energy management and environmental performance of buildings.
11
Chemingui, Yassine, Adel Gastli, and Omar Ellabban. "Reinforcement Learning-Based School Energy Management System." Energies 13, no. 23 (December 1, 2020): 6354. http://dx.doi.org/10.3390/en13236354.
Full textAbstract:
Energy efficiency is a key to reduced carbon footprint, savings on energy bills, and sustainability for future generations. For instance, in hot climate countries such as Qatar, buildings are high energy consumers due to air conditioning that resulted from high temperatures and humidity. Optimizing the building energy management system will reduce unnecessary energy consumptions, improve indoor environmental conditions, maximize building occupant’s comfort, and limit building greenhouse gas emissions. However, lowering energy consumption cannot be done despite the occupants’ comfort. Solutions must take into account these tradeoffs. Conventional Building Energy Management methods suffer from a high dimensional and complex control environment. In recent years, the Deep Reinforcement Learning algorithm, applying neural networks for function approximation, shows promising results in handling such complex problems. In this work, a Deep Reinforcement Learning agent is proposed for controlling and optimizing a school building’s energy consumption. It is designed to search for optimal policies to minimize energy consumption, maintain thermal comfort, and reduce indoor contaminant levels in a challenging 21-zone environment. First, the agent is trained with the baseline in a supervised learning framework. After cloning the baseline strategy, the agent learns with proximal policy optimization in an actor-critic framework. The performance is evaluated on a school model simulated environment considering thermal comfort, CO2 levels, and energy consumption. The proposed methodology can achieve a 21% reduction in energy consumption, a 44% better thermal comfort, and healthier CO2 concentrations over a one-year simulation, with reduced training time thanks to the integration of the behavior cloning learning technique.
12
Regina, Regina, Liong Ju Tjung, and Priyendiswara A. B. Priyendiswara. "RENCANA PENGELOLAAN GREEN BUILDING DENGAN PENDEKATAN BUILDING ENVIRONMENT MANAGEMENT (BEM)." Jurnal Sains, Teknologi, Urban, Perancangan, Arsitektur (Stupa) 1, no. 2 (January 26, 2020): 2181. http://dx.doi.org/10.24912/stupa.v1i2.4592.
Full textAbstract:
The concept of green building is now increasingly being applied in Indonesia, especially DKI Jakarta due to the increasing prevalence of global warming. Adapting to climate change and the increasing number of tall buildings in Indonesia, the GBCI (Green Building Council Indonesia) concluded that the biggest cause of energy use was due to the use of the building sector of around 48%, while the other 27% was in the transportation sector, then 25% in the industrial sector. GBCI applies certification in the form of "Greenship" as an assessment tool for buildings that are rated as Green Buildings. "Greenship" is prepared by GBCI by considering the conditions, nature, rules and standards that apply in Indonesia. The main focus of Green Building is energy efficiency, but what distinguishes "Greenship" from other rating tools are "Greenship" has a BEM category that focuses on managing the waste produced by buildings. The rating tool "Greenship" in Indonesia is quite balanced because in addition to focusing on energy efficiency, "Greenship" also pays attention to the comfort elements of its occupants, namely the Building Environmental Management category (BEM) where the comfort of buildings is one of the factors in the success of green buildings. In order for green building to be managed optimally, the author compiled a study of the criteria for BEM (Building Environment Management), with recommendations for waste and fit-out management in one of Green Building in Jakarta, South Quarter with a BEM achievement of 77%. The author composes the recommended budgetary costs for evaluating waste sorting and training, the author also conducted tenant perceptions surveys with cross tabulation and compare means method with the results that 77% of respondents agreed with the planning of sorting waste and providing training for residents of the building at the Green Building.the result that 77% of respondents agreed with planning waste sorting and providing training to building occupants in the Green Building.AbstrakKonsep bangunan hijau saat ini semakin banyak diimplementasikan di Indonesia khususnya DKI Jakarta karena semakin maraknya pemanasan global. Beradaptasi dengan perubahan iklim dan semakin banyaknya bangunan tinggi di Indonesia, GBCI (Green Building Council Indonesia) menyimpulkan bahwa penyebab terbesar dari penggunaan energi yaitu karena penggunaan pada sektor bangunan sekitar 48%, sedangkan 27% lainnya sektor transportasi, lalu 25% sektor industri. GBCI menerapkan sertifikasi berupa “Greenship” sebagaii alat penilai/penentu untuk sebuah bangunan dinilai sebagai Green Building. “Greenship” dipersiapkan oleh GBCI dengan mempertimbangkan kondisi, karakter alam serta peraturan dan standard yang berlaku di Indonesia. Fokus utama dari Green Building adalah efisiensi energi, namun yang membedakan “Greenship” dengan rating tools lainnya yaitu “Greenship” mempunyai kategori BEM yang berfokus kepada pengelolaan sampah yang dihasilkan oleh gedung. Rating tools berupa “Greenship” di Indonesia cukup seimbang karena selain berfokus pada efisiensi energi, “Greenship” juga memperhatikan unsur kenyamanan penghuninya yaitu dengan adanya kategori Manajemen Lingkungan Bangunan (BEM) dimana kenyamanan penghuni bangunan merupakan salah satu faktor keberhasilan dari green building. Agar suatu green building dapat dikelola secara maksimal, penulis menyusun penelitian pada kriteria BEM (Building Environment Management), dengan rekomendasi untuk pengelolaan sampah dan fit-out di salah satu Green Building di Jakarta yaitu South Quarter dengan pencapaian BEM sebesar 77%. Penulis menyusun biaya anggaran yang disarankan untuk evaluasi pemilahan sampah dan training, penulis juga melakukan survei persepsi tenant dengan metode tabulasi silang dan perbandingan nilai tengah dengan hasil bahwa 77% responden setuju dengan perencanaan pemilahan sampah dan pengadaan training untuk penghuni gedung di Green Building.
13
Kim, Sunyong, and Hyuk Lim. "Reinforcement Learning Based Energy Management Algorithm for Smart Energy Buildings." Energies 11, no. 8 (August 2, 2018): 2010. http://dx.doi.org/10.3390/en11082010.
Full textAbstract:
A smart grid facilitates more effective energy management of an electrical grid system. Because both energy consumption and associated building operation costs are increasing rapidly around the world, the need for flexible and cost-effective management of the energy used by buildings in a smart grid environment is increasing. In this paper, we consider an energy management system for a smart energy building connected to an external grid (utility) as well as distributed energy resources including a renewable energy source, energy storage system, and vehicle-to-grid station. First, the energy management system is modeled using a Markov decision process that completely describes the state, action, transition probability, and rewards of the system. Subsequently, a reinforcement-learning-based energy management algorithm is proposed to reduce the operation energy costs of the target smart energy building under unknown future information. The results of numerical simulation based on the data measured in real environments show that the proposed energy management algorithm gradually reduces energy costs via learning processes compared to other random and non-learning-based algorithms.
14
Raza, Aamir, and Tahir Nadeem Malik. "Energy management in commercial building microgrids." Journal of Renewable and Sustainable Energy 11, no. 1 (January 2019): 015502. http://dx.doi.org/10.1063/1.5034352.
Full text
15
Whitehouse, T. "Building management: Energy efficiency in museums." Museum Management and Curatorship 13, no. 1 (March 1994): 89–92. http://dx.doi.org/10.1016/0964-7775(94)90036-1.
Full text
16
Mahendra, Singh, Ploix Stéphane, and Wurtz Frederic. "Modeling for Reactive Building Energy Management." Energy Procedia 83 (December 2015): 207–15. http://dx.doi.org/10.1016/j.egypro.2015.12.175.
Full text
17
Rahman, Md Samin, and Md Humayun Kabir. "Social Internet of Things (SIoT) Enabled System Model for Smart Integration of Building‟s Energy, Water and Safety Management: Dhaka City, Bangladesh Perspective." AIUB Journal of Science and Engineering (AJSE) 18, no. 1 (May 31, 2019): 19–26. http://dx.doi.org/10.53799/ajse.v18i1.18.
Full textAbstract:
Dhaka, being the largest township of Bangladesh City Buildings is excreted by in-migration, a rapid growth of population, withering of living and infrastructure standard, which eventually is threatening overall sustainability and well beings. Modernization and digitalization of building infrastructure is not only an important step towards resolving the problems but also it will be a facilitator for smart, efficient and optimized urbanization. On May 2018, the authors conducted a survey among 51 Residential Building’s owner/building managers, 25 Non-residential Building’s owner/building managers and 25 corporate building’s owner/building managers to find market adoptable IoT solutions for building’s smart efficient energy, water and safety managements. The features requested in this survey are optimized and implemented by the authors and finally, here the system model with simulation results is presented. This system shows promising energy, water resource management optimization and some intriguing factors that validate its objectives, social characteristics, market usability.
18
Motuzienė, Violeta. "EVALUATION OF THE EFFICIENCY OF THE OFFICE BUILDING SYSTEMS’ MANAGEMENT BASED ON THE LONG-TERM MONITORING DATA." Mokslas - Lietuvos ateitis 14 (August 24, 2022): 1–6. http://dx.doi.org/10.3846/mla.2022.17251.
Full textAbstract:
Climate change and its consequences pose an existential threat to Europe and the world, where more than 75% of the European Union’s greenhouse gas emissions come from energy production. For this reason, it is very important to increase the energy efficiency of buildings, as the building sector is one of the biggest energy consumers with an impact on the still untapped potential for energy savings. Although buildings are constructed and certified as energy efficient, their in-use consumption is often significantly higher than expected. Especially significant in energy consumption between design and actual consumption are found in office buildings. The higher energy consumption is due to factors related to the design and operation phases. Researchers often emphasize the management of a building’s engineering systems as one of the key factors influencing a building’s energy consumption. The article analyses the existing office building and evaluates the efficiency of its energy using systems’ management based on long-term monitoring data. After identifying which systems are managed inefficiently, several management strategies have been proposed and evaluated. It was found that with simple management strategies heating energy reduction is about 20% per year.
19
Gupta, R., M. Kapsali, and M. Gregg. "Comparative building performance evaluation of a ‘sustainable’ community centre and a public library building." Building Services Engineering Research and Technology 38, no. 6 (June 26, 2017): 691–710. http://dx.doi.org/10.1177/0143624417717202.
Full textAbstract:
This paper uses a forensic building performance evaluation approach to undertake a comparative evaluation of the in-use energy and environmental performance data (collected over two years) of two civic buildings located in Southeast England – a small community centre (<1000 m2) and a medium-sized public library building (∼4500 m2), which are designed to high sustainability standards (EPC A rating) and low heating demand met by on-site low/zero carbon technologies. Although both buildings achieved measured air-permeability rates of ∼5 m3/h.m2, they encountered similar issues related to poor documentation of ‘as-built’ drawings, poor handover and guidance, problems with integrating and maintaining new technologies (heat pumps, biomass boilers and solar thermal), lack of calibration of sub-meters, and issues with automatic window controls. However, the actual annual energy use of the community centre is similar to the design prediction, while it is almost double the prediction in the case of the library building. This is because the community centre management team overcame some of the issues through their continuous engagement and interest in the building’s performance, whereas the management team of the Library building failed to engage with energy management, resulting in disuse of the biomass boiler and solar thermal system. Practical application: Comparative building performance evaluation (BPE) systematically reveals the similarities and differences in the actual energy and environmental performance of two ‘sustainable’ civic buildings. Careful management of heating and electricity loads, good occupant control over the indoor environment and high performance of low-carbon technologies in the Community Centre results in the building performing better than good practice benchmark. Regular changes in facility management (FM) staff result in inadequate energy management and control over heating, ventilation and lighting, that undermines occupant comfort and leads to excessive energy use in the library building. For civic buildings to perform as designed, it is vital that metering, sub-metering and controls are set up, commissioned and used properly by the FM team. Design teams should ensure that easy-to-understand user guides are made available before handover for FM and occupants.
20
Rey-Hernández, Javier M., Sergio Lorenzo González, Julio F. San José-Alonso, Ana Tejero-González, Eloy Velasco-Gómez, and Francisco J. Rey-Martínez. "Smart energy management of combined ventilation systems in a nZEB." E3S Web of Conferences 111 (2019): 01050. http://dx.doi.org/10.1051/e3sconf/201911101050.
Full textAbstract:
The high energy consumption, attached to a high energy demand in buildings, has led the development of several research projects with the target of reducing the energy consumption in the buildings. As a result of this high consumption, the increased CO2 emissions that have been generated in recent years, have reached alarming levels, which is why it is necessary to reduce the environmental impact which we are contributing to our planet through the use of energy. The European Directive on Building Performance (EPBD 2018/844/EU), recently updated, requires new buildings to be close to the Zero Energy Buildings (nZEBs), increasing the use of renewable energies on-site, and also highlight how to get to improve the cost-effective renovation of existing buildings with the introduction of building control and automation systems ( smart systems), as well as the energy savings and increase the efficiency of energy systems, by reducing CO2 emissions. The use of new renewable energy technologies integrated in buildings, with the aim of reducing the consumption of the facilities that all nZEB buildings must have, such as the ventilation system used as an Indoor Air Quality (IAQ) control technique. In this study, the energy management of the enthalpy ventilation control system is analysed, where dynamic monitoring is going on in the building controlled through Supervisory Control And Data Acquisition (SCADA), in combination with different ventilation systems as free-cooling, heat recovery and geothermal energy of an Earth Air Heat eXchanger (EAHX), all of them as strategies implemented in a real nZEB building (LUCIA) located on the campus at the University of Valladolid, with the goal of improving energy efficiency in ventilation. In order to get this aims, monitoring data of several energy parameters (temperature, air velocity, air flow rate, enthalpy, etc.) are measurements, they allow us to perform a control of the combined ventilation systems to achieve a high IAQ and analyze an optimization of the energy efficiency of the all systems and to study of energy recovery and savings of carbon emissions that directly affect the reduction of the impact of climate change. The results achieved are the energy efficiency of the building in ventilation and optimum system operation in cooling and heating mode. In addition, by controlling the ventilation, the IAQ of the nZEB building is improved.
21
Džiugaitė-Tumėnienė, Rasa, Vidmantas Jankauskas, and Violeta Motuzienė. "ENERGY BALANCE OF A LOW ENERGY HOUSE." Journal of Civil Engineering and Management 18, no. 3 (June 29, 2012): 369–77. http://dx.doi.org/10.3846/13923730.2012.691107.
Full textAbstract:
Currently, such topics as improvement of energy efficiency of buildings and energy systems, development of sustainable building concepts, and promotion of renewable energy sources are in the focus of attention. The energy efficiency targets of the European Union are based on information regarding energy consumed by buildings. The amount of energy consumed by buildings depends on the main influencing factors (namely, climate parameters, building envelope, energy systems, building operation and maintenance, activities and behaviour of occupants), which have to be considered in order to identify energy efficiency potentials and opportunities. The article aims to investigate the total amount of energy consumed by a low energy house, built in Lithuania, using a combination of energy consumption data received from a simulation and measured energy consumption data. The energy performance analysis in the low energy house revealed some factors that have the main influence on the total figures of energy consumed by the house. The identified significant factors were used to find the optimal solutions for the design of low energy buildings.
22
Watfa, Mohamed K., Amal E. Hawash, and Kamal Jaafar. "Using Building Information & Energy Modelling for Energy Efficient Designs." Journal of Information Technology in Construction 26 (July 26, 2021): 427–40. http://dx.doi.org/10.36680/j.itcon.2021.023.
Full textAbstract:
The construction industry has a huge impact on the environment in terms of noise, water and land pollution, traffic congestion and waste disposal. Another aspect of the construction industry impact on the environment is the increasing energy consumption. According to published research, buildings energy use is expected to increase by 32% by the year 2040. As a result, efforts have been directed toward improving green building awareness and the application of sustainability concepts in the design, construction and building management processes. In this research, using extensive simulations, the integration between Building Information Modeling methodology (BIM) and Building Energy Modeling (BEM) methodologies in order to effectively minimize the overall energy consumption of a residential building in the UAE is investigated by studying several design factors including: building orientation and windows type, size and distribution on the overall building energy consumption. Results show that to increase the modelled building’s energy and financial efficiency, recommended changes to the initial design have to be done including changing the distribution of the southern façade and the type of windows glazing used. More specifically, there was a peak energy reduction of: 8% with a 180 degrees building orientation angle, 2% with a window to wall ratio of 15%, and 2% when double glazing windows were used. This work validates that the combination of BIM and BEM allows to enhance the overall building energy consumption efficiency and to further establish the needed sustainability goals through a generated 3D model.
23
Hossain, Jahangir, Aida F. A. Kadir, Ainain N. Hanafi, Hussain Shareef, Tamer Khatib, Kyairul A. Baharin, and Mohamad F. Sulaima. "A Review on Optimal Energy Management in Commercial Buildings." Energies 16, no. 4 (February 6, 2023): 1609. http://dx.doi.org/10.3390/en16041609.
Full textAbstract:
The rising cost and demand for energy have prompted the need to devise innovative methods for energy monitoring, control, and conservation. In addition, statistics show that 20% of energy losses are due to the mismanagement of energy. Therefore, the utilization of energy management can make a substantial contribution to reducing the unnecessary usage of energy consumption. In line with that, the intelligent control and optimization of energy management systems integrated with renewable energy resources and energy storage systems are required to increase building energy efficiency while considering the reduction in the cost of energy bills, dependability of the grid, and mitigating carbon emissions. Even though a variety of optimization and control tactics are being utilized to reduce energy consumption in buildings nowadays, several issues remain unsolved. Therefore, this paper presents a critical review of energy management in commercial buildings and a comparative discussion to improve building energy efficiency using both active and passive solutions, which could lead to net-zero energy buildings. This work also explores different optimum energy management controller objectives and constraints concerning user comfort, energy policy, data privacy, and security. In addition, the review depicts prospective future trends and issues for developing an effective building energy management system, which may play an unavoidable part in fulfilling the United Nations Sustainable Development Goals.
24
Li, Weixian, Thillainathan Logenthiran, Van-Tung Phan, and Wai Lok Woo. "Housing Development Building Management System (HDBMS) For Optimized Electricity Bills." Transactions on Environment and Electrical Engineering 2, no. 2 (August 20, 2017): 64. http://dx.doi.org/10.22149/teee.v2i2.113.
Full textAbstract:
Smart Buildings is a modern building that allows residents to have sustainable comfort with high efficiency of electricity usage. These objectives could be achieved by applying appropriate, capable optimization algorithms and techniques. This paper presents a Housing Development Building Management System (HDBMS) strategy inspired by Building Energy Management System (BEMS) concept that will integrate with smart buildings using Supply Side Management (SSM) and Demand Side Management (DSM) System. HDBMS is a Multi-Agent System (MAS) based decentralized decision making system proposed by various authors. MAS based HDBMS was created using JAVA on a IEEE FIPA compliant multi-agent platform named JADE. It allows agents to communicate, interact and negotiate with energy supply and demand of the smart buildings to provide the optimal energy usage and minimal electricity costs. This results in reducing the load of the power distribution system in smart buildings which simulation studies has shown the potential of proposed HDBMS strategy to provide the optimal solution for smart building energy management.
25
Mataloto, Bruno, Joao C. Ferreira, and Nuno Cruz. "LoBEMS—IoT for Building and Energy Management Systems." Electronics 8, no. 7 (July 8, 2019): 763. http://dx.doi.org/10.3390/electronics8070763.
Full textAbstract:
This work presents the efforts on optimizing energy consumption by deploying an energy management system using the current IoT component/system/platform integration trends through a layered architecture. LoBEMS (LoRa Building and Energy Management System), the proposed platform, was built with the mindset of proving a common platform that would integrate multiple vendor locked-in systems together with custom sensor devices, providing critical data in order to improve overall building efficiency. The actions that led to the energy savings were implemented with a ruleset that would control the already installed air conditioning and lighting control systems. This approach was validated in a kindergarten school during a three-year period, resulting in a publicly available dataset that is useful for future and related research. The sensors that feed environmental data to the custom energy management system are composed by a set of battery operated sensors tied to a System on Chip with a LoRa communication interface. These sensors acquire environmental data such as temperature, humidity, luminosity, air quality but also motion. An already existing energy monitoring solution was also integrated. This flexible approach can easily be deployed to any building facility, including buildings with existing solutions, without requiring any remote automation facilities. The platform includes data visualization templates that create an overall dashboard, allowing management to identify actions that lead to savings using a set of pre-defined actions or even a manual mode if desired. The integration of the multiple systems (air-conditioning, lighting and energy monitoring) is a key differentiator of the proposed solution, especially when the top energy consumers for modern buildings are cooling and heating systems. As an outcome, the evaluation of the proposed platform resulted in a 20% energy saving based on these combined energy saving actions.
26
Wang, Endong, and Zhigang Shen. "LIFECYCLE ENERGY CONSUMPTION PREDICTION OF RESIDENTIAL BUILDINGS BY INCORPORATING LONGITUDINAL UNCERTAINTIES." Journal of Civil Engineering and Management 19, Supplement_1 (January 9, 2014): S161—S171. http://dx.doi.org/10.3846/13923730.2013.802744.
Full textAbstract:
Accurate prediction of buildings’ lifecycle energy consumption is a critical part in lifecycle assessment of residential buildings. Longitudinal variations in building conditions, weather conditions and building's service life can cause significant deviation of the prediction from the real lifecycle energy consumption. The objective is to improve the accuracy of lifecycle energy consumption prediction by properly modelling the longitudinal variations in residential energy consumption model using Markov chain based stochastic approach. A stochastic Markov model considering longitudinal uncertainties in building condition, degree days, and service life is developed: 1) Building's service life is estimated through Markov deterioration curve derived from actual building condition data; 2) Neural Network is used to project periodic energy consumption distribution for each joint energy state of building condition and temperature state; 3) Lifecycle energy consumption is aggregated based on Markov process and the state probability. A case study on predicting lifecycle energy consumption of a residential building is presented using the proposed model and the result is compared to that of a traditional deterministic model and three years’ measured annual energy consumptions. It shows that the former model generates much narrower distribution than the latter model when compared to the measured data, which indicates improved result.
27
Zhao, Linlin, Zhansheng Liu, and Jasper Mbachu. "Energy Management through Cost Forecasting for Residential Buildings in New Zealand." Energies 12, no. 15 (July 26, 2019): 2888. http://dx.doi.org/10.3390/en12152888.
Full textAbstract:
Over the last two decades, the residential building sector has been one of the largest energy consumption sectors in New Zealand. The relationship between that sector and household energy consumption should be carefully studied in order to optimize the energy consumption structure and satisfy energy demands. Researchers have made efforts in this field; however, few have concentrated on the association between household energy use and the cost of residential buildings. This study examined the correlation between household energy use and residential building cost. Analysis of the data indicates that they are significantly correlated. Hence, this study proposes time series methods, including the exponential smoothing method and the autoregressive integrated moving average (ARIMA) model for forecasting residential building costs of five categories of residential buildings (one-storey house, two-storey house, townhouse, residential apartment and retirement village building) in New Zealand. Moreover, the artificial neutral networks (ANNs) model was used to forecast the future usage of three types of household energy (electricity, gas and petrol) using the residential building costs. The t-test was used to validate the effectiveness of the obtained ANN models. The results indicate that the ANN models can generate acceptable forecasts. The primary contributions of this paper are twofold: (1) Identify the close correlation between household energy use and residential building costs; (2) provide a new clue for optimizing energy management.
28
Fernandes, Joana, Maria Catarina Santos, and Rui Castro. "Introductory Review of Energy Efficiency in Buildings Retrofits." Energies 14, no. 23 (December 3, 2021): 8100. http://dx.doi.org/10.3390/en14238100.
Full textAbstract:
Energy-efficient building retrofits must be approached from three perspectives: law regulation approach, financial incentives approach, and practice approach. The concepts of zero energy building and life cycle energy building are presented as the basis for energy retrofits. Multi-criteria boards to assess the decision-making process are reviewed, analysed, and categorised under an architectonic perspective. Some examples are presented, with different packages of measures, from deep to non-invasive energy retrofits. Passive and active energy generation systems, together with control and management strategies, are the physical elements identified with the potential to improve buildings’ energy efficiency. From a practice approach, this literature review identifies the concept of performance-based architectural design to optimise the planning and design of buildings’ energy retrofits. In addition, tools such as Building Information Modelling are described as part of optimisation processes, as they enable designers to rapidly analyse and simulate a building’s performance at the design stage.
29
Baniyounes, Ali M., Yazeed Yasin Ghadi, and Ayman Abu Baker. "Institutional smart buildings energy audit." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 2 (April 1, 2019): 783. http://dx.doi.org/10.11591/ijece.v9i2.pp783-788.
Full textAbstract:
<span>Smart buildings and Fuzzy based control systems used in Buildings Management System (BMS), Building Energy Management Systems (BEMS) and Building Automation Systems (BAS) are a point of interests among researcher and stake holders of buildings’ developing sector due to its ability to save energy and reduce greenhouse gas emissions. Therefore this paper will review, investigates define and evaluates the use of fuzzy logic controllers in smart buildings under subtropical Australia’s subtropical regions. In addition the paper also will define the latest development, design and proposed controlling strategies used in institutional buildings. Furthermore this paper will highlight and discuss the conceptual basis of these technologies including Fuzzy, Neural and Hybrid add-on technologies, its capabilities and its limitation.</span>
30
Wang, Zheng, Yanli Xiao, Ye Wan, Ke Liu, and Xiyuan Wang. "Research on energy management strategy of photovoltaic–battery energy storage system." International Journal of Low-Carbon Technologies 17 (2022): 488–93. http://dx.doi.org/10.1093/ijlct/ctac024.
Full textAbstract:
Abstract Photovoltaics have the advantages of being clean and renewable and have gained a wide range of applications. It is promising to use photovoltaic energy for the power supply of buildings, as the building sector accounts for a large portion of global energy consumption with a constantly increasing trend. However, photovoltaics are greatly affected by time and environment, and it is usually combined with batteries to form a photovoltaic–battery energy storage system to meet the load demand. This paper aims to analyze and compare energy management strategies of an on-grid solar photovoltaic–battery system for a real building project in a typical May and October region, but unlike other studies, the strategies used in this paper are very simple and easy to implement. It can also realize photovoltaic, battery and grid to meet the load power demand. Two strategies are used in this paper. Strategy 1 is to maximize the utilization of the energy generated by photovoltaics: while the energy generated by photovoltaics cannot meet the load demand, the battery will provide energy, and while the battery cannot meet the load demand, the grid will provide energy. The photovoltaic energy is given priority to the battery under the premise of meeting the load demand. Strategy 2 is to use the time-of-use electricity price, and the battery obtains cheap electricity at night to meet the load of the high electricity price the next day. The feasibility of the strategy used is demonstrated by actual data of buildings and photovoltaic–battery energy storage systems. This study can provide theoretical references for the energy management and system operation to facility managers and building occupants.
31
Oh, Jin-Seok. "Building Energy Management System Coupling with Renewable Energy System." Journal of Navigation and Port Research 34, no. 9 (December 31, 2010): 705–9. http://dx.doi.org/10.5394/kinpr.2010.34.9.705.
Full text
32
Cova, Sónia, Carlos Andrade, Orlando Soares, and Jorge Lopes. "EVALUATION OF COST-OPTIMAL RETROFIT INVESTMENT IN BUILDINGS: THE CASE OF BRAGANÇA FIRE STATION, PORTUGAL." International Journal of Strategic Property Management 25, no. 5 (July 8, 2021): 369–81. http://dx.doi.org/10.3846/ijspm.2021.15082.
Full textAbstract:
Office buildings built before the entry into force of the first thermal regulation in 1991 constitute a relevant group for analysing the energy performance of the Portuguese building sector. A dynamic energy simulation was used to assess the energy performance of an existing office building located in the town of Bragança, Portugal. Four energy efficiency measures were selected and a financial evaluation through the internal rate of return (IRR) method was undertaken to choose the best retrofit option for improving the building’s energy performance. An investment package consisting of the roof insulation and a new equipment for the domestic hot water system presented an IRR higher than the discount rate used in the analysis, and, thus, a positive financial return. The results of the study also suggest that the EU’s comparative methodology framework is not particularly suitable for assessing building retrofit investment at the private investor’s perspective and further refinement in the cost-effective approach to renovations is needed to help stimulate building’s energy renovation market. Suggestions for further studies conducted for office buildings in the different climate zones in Portugal are also proposed.
33
Lou, Bingna, Yi Liang, and Xia Gao. "Energy Consumption Assessment and Energy-Saving Management in Tourist Resorts." International Journal of Heat and Technology 39, no. 1 (February 28, 2021): 195–204. http://dx.doi.org/10.18280/ijht.390121.
Full textAbstract:
For tourism industry, the ever-increasing energy consumption and the high carbon emissions are requiring close attention and prompt solution, thusly endowing the research on the energy-saving of buildings in tourist resorts very important and practical significance. For this reason, this study carefully considered the actual situations such the energy utilization method and the hygrothermal environment of tourist resorts and constructed a hygrothermal transfer model and the corresponding hygrothermal balance equation for buildings in tourist resorts; then, the paper proposed a few effective strategies for the energy-saving management of buildings in tourist resorts, and studied the annual energy consumption of tourist resorts and gave a building energy consumption analysis. At last, experimental results verified the rationality and effectiveness of the proposed energy consumption assessment and energy-saving management methods for tourist resort buildings in hygrothermal environment. This study provided a useful reference for the energy-saving methods of buildings in tourist resorts.
34
Manic, Milos, Dumidu Wijayasekara, Kasun Amarasinghe, and Juan J. Rodriguez-Andina. "Building Energy Management Systems: The Age of Intelligent and Adaptive Buildings." IEEE Industrial Electronics Magazine 10, no. 1 (March 2016): 25–39. http://dx.doi.org/10.1109/mie.2015.2513749.
Full text
35
O'Neill, Zheng, Trevor Bailey, Bing Dong, Madhusudana Shashanka, and Dong Luo. "Advanced building energy management system demonstration for Department of Defense buildings." Annals of the New York Academy of Sciences 1295, no. 1 (June 28, 2013): 44–53. http://dx.doi.org/10.1111/nyas.12188.
Full text
36
Zhang, Yajie, Behrang Vand, and Simone Baldi. "A Review of Mathematical Models of Building Physics and Energy Technologies for Environmentally Friendly Integrated Energy Management Systems." Buildings 12, no. 2 (February 18, 2022): 238. http://dx.doi.org/10.3390/buildings12020238.
Full textAbstract:
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the building performance. In the state-of-the-art, building performance analysis is separated into building simulation and control management: this may cause inaccuracies and extra operating time. Thus, a coherent framework to integrate building physics with various energy technologies and energy control management methods is highly required. This framework should be formed by simplified but accurate models of building physics and building energy technologies, and should allow for the selection of proper control strategies according to the control objectives and scenarios. Therefore, this paper reviews the fundamental mathematical modeling and control strategies to create such a framework. The mathematical models of (i) building physics and (ii) popular building energy technologies (renewable energy systems, common heating and cooling energy systems and energy distribution systems) are first presented. Then, it is shown how the collected mathematical models can be linked. Merging with two frequently used EMS strategies, namely rule-based and model predictive controls, is discussed. This work provides an extendable map to model and control buildings and intends to be a foundation for building researchers, designers and engineers.
37
Fu, Yijun, Shicong Zhang, Xi Chen, and Wei Xu. "Sino-American Building Energy Standards Comparison and Recommendations towards Zero Energy Building." Sustainability 13, no. 18 (September 8, 2021): 10050. http://dx.doi.org/10.3390/su131810050.
Full textAbstract:
Building energy conservation has gained tremendous interest since the 1970s energy crisis. Building energy standards have been established as prescribed guidelines for energy savings in buildings worldwide, among which those from China and the United States of America (USA) are representative of their advanced concept, comprehensive content and prospective guidance. This paper collected and generalized the main building energy standards in China (GB50189, JGJ26, JGJ134 and JGJ75) and the USA (ASHRAE 90.1), in terms of updating history, current status, energy saving potential and future development directions. Furthermore, a qualitative and quantitative comparison of the selected standards was performed. The results show that China has a more intact and comprehensive building energy standard system, better implementation, higher improvement in energy saving rates, and a more perspicacious upgrade towards zero-energy target, which results in effective energy savings in buildings. The ASHRAE standards have more fixed chapter framework, integrity and independence between versions, more detailed classification of building envelope and HVAC systems but less effective energy-saving effect and relatively poor implementation. The actual efficiency of standards in building energy saving is synthetically determined by the standard content, efficient implementation and explicit guidelines for future development, which is achieved through four main procedures. Based on the results, recommendations have been proposed for the future development of building energy standards with the ultimate goal toward zero energy buildings.
38
Noubissie Tientcheu, Simplice Igor, Shyama P. Chowdhury, and Thomas O. Olwal. "Intelligent Energy Management Strategy for Automated Office Buildings." Energies 12, no. 22 (November 13, 2019): 4326. http://dx.doi.org/10.3390/en12224326.
Full textAbstract:
The increasing demand to reduce the high consumption of end-use energy in office buildings framed the objective of this work, which was to design an intelligent system management that could be utilized to minimize office buildings’ energy consumption from the national electricity grid. Heating, Ventilation and Air Conditioning (HVAC) and lighting are the two main consumers of electricity in office buildings. Advanced automation and control systems for buildings and their components have been developed by researchers to achieve low energy consumption in office buildings without considering integrating the load consumed and the Photovoltaic system (PV) input to the controller. This study investigated the use of PV to power the HVAC and lighting equipped with a suitable control strategy to improve energy saving within a building, especially in office buildings where there are reports of high misuse of electricity. The intelligent system was modelled using occupant activities, weather condition changes, load consumed and PV energy changes, as input to the control system of lighting and HVAC. The model was verified and tested using specialized simulation tools (Simulink®) and was subsequently used to investigate the impact of an integrated system on energy consumption, based on three scenarios. In addition, the direct impact on reduced energy cost was also analysed. The first scenario was tested in simulation of four offices building in a civil building in South Africa of a single occupant’s activities, weather conditions, temperature and the simulation resulted in savings of HVAC energy and lighting energy of 13% and 29%, respectively. In the second scenario, the four offices were tested in simulation due to the loads’ management plus temperature and occupancy and it resulted in a saving of 20% of HVAC energy and 29% of lighting electrical energy. The third scenario, which tested integrating PV energy (thus, the approach utilized) with the above-mentioned scenarios, resulted in, respectively, 64% and 73% of HVAC energy and lighting electrical energy saved. This saving was greater than that of the first two scenarios. The results of the system developed demonstrated that the loads’ control and the PV integration combined with the occupancy, weather and temperature control, could lead to a significant saving of energy within office buildings.
39
Rahmani, Khadidja, Atef Ahriz, and Nahla Bouaziz. "Development of a New Residential Energy Management Approach for Retrofit and Transition, Based on Hybrid Energy Sources." Sustainability 14, no. 7 (March 29, 2022): 4069. http://dx.doi.org/10.3390/su14074069.
Full textAbstract:
The building sector contributes to a significant part of growing global energy demand. Improving the energy efficiency of the existing building stock is a crucial strategy. Adopting the best energy retrofit strategy in a specific building is a hard task due to the multitude of possible combinations of retrofit measures and the management of different renewable energy sources in the building. However, significant efforts must be made to combine envelope retrofit with renewable energy to improve the energy efficiency of existing buildings and minimize the energy payback period and greenhouse gas (GHG) emissions. It also helps to achieve a successful transition to zero fossil fuel energy for houses and an existing housing stock free of greenhouse gas emissions. This paper is based on a systematic approach, which was applied to an Algerian case study “high-rise building/housing units” that represented southern Mediterranean countries. The percentage of energy consumption was identified; moreover, the performance of on-site hybrid exploitation of renewable energy systems such as photovoltaic cells, thermodynamic panels and small wind turbines was proven. Several actors have collaborated and a range of software types have been used (3D modelling, meteorological regeneration data, energy simulation of buildings, estimation of renewable energy production and statistical analysis). As a result, the building case study has become more efficient than before, whereas the payback time was 10 years. The economic and environmental analysis highlighted that it is possible to save energy demand by up to 51–75% for heating and up to 5–32% for cooling; electricity and hot water consumption was covered at 98% and 80%, respectively, whereas associated gas emissions are reduced by up to 252 tons per building, a reduction of 91%. The model of the platform designed is multi-disciplinary, facilitating collaboration with the various stakeholders to identify directions for successful interventions in pre-established cities. It is a solid framework for future research aimed at standardizing the approach to energy retrofitting and transitioning in existing buildings and is suitable for all types of residential buildings of the southern Mediterranean region such as Algeria, Tunisia and Morocco.
40
Khan, Muhammad Hilal, Azzam Ul Asar, Nasim Ullah, Fahad R. Albogamy, and Muhammad Kashif Rafique. "Modeling and Optimization of Smart Building Energy Management System Considering Both Electrical and Thermal Load." Energies 15, no. 2 (January 13, 2022): 574. http://dx.doi.org/10.3390/en15020574.
Full textAbstract:
Energy consumption in buildings is expected to increase by 40% over the next 20 years. Electricity remains the largest source of energy used by buildings, and the demand for it is growing. Building energy improvement strategies is needed to mitigate the impact of growing energy demand. Introducing a smart energy management system in buildings is an ambitious yet increasingly achievable goal that is gaining momentum across geographic regions and corporate markets in the world due to its potential in saving energy costs consumed by the buildings. This paper presents a Smart Building Energy Management system (SBEMS), which is connected to a bidirectional power network. The smart building has both thermal and electrical power loops. Renewable energy from wind and photo-voltaic, battery storage system, auxiliary boiler, a fuel cell-based combined heat and power system, heat sharing from neighboring buildings, and heat storage tank are among the main components of the smart building. A constraint optimization model has been developed for the proposed SBEMS and the state-of-the-art real coded genetic algorithm is used to solve the optimization problem. The main characteristics of the proposed SBEMS are emphasized through eight simulation cases, taking into account the various configurations of the smart building components. In addition, EV charging is also scheduled and the outcomes are compared to the unscheduled mode of charging which shows that scheduling of Electric Vehicle charging further enhances the cost-effectiveness of smart building operation.
41
Piselli, Cristina, Alessio Guastaveglia, Jessica Romanelli, Franco Cotana, and Anna Laura Pisello. "Facility Energy Management Application of HBIM for Historical Low-Carbon Communities: Design, Modelling and Operation Control of Geothermal Energy Retrofit in a Real Italian Case Study." Energies 13, no. 23 (December 1, 2020): 6338. http://dx.doi.org/10.3390/en13236338.
Full textAbstract:
The highest challenge of energy efficiency of building stock is achieving improved performance in existing buildings and, especially, in heritage buildings which per se are characterized by massive limitations against the implementation of the most sophisticated solutions for energy saving. In Italy, historical buildings represent more than 30% of the building stock and the vast majority require energy retrofit, while ensuring the preservation of the heritage value and acceptable comfort conditions. In this context, historical buildings must be retrofitted and re-functioned by introducing innovative technologies aimed at reducing energy consumption and improving human comfort, health, and safety. To this aim, this study implements the Historic Building Information Modeling (HBIM) approach for the integrated modeling, monitoring, management, and maintenance of a novel geothermal system involving horizontal ground source heat exchangers (GHEXs) coupled to an adsorption heat pump for the energy refurbishment of historical buildings. In detail, a rural building part of a medieval complex in Perugia, Central Italy, is considered as a pilot case study. The analysis stresses the potential of the Facility Management (FM) applications of HBIM to provide a tool for the human-centric operational management control of the building energy performance and indoor comfort when combined with the building monitoring and supervision system. Therefore, this integrated HBIM approach may drive the path towards the user-centric re-functioning of heritage buildings.
42
Geetha, S. "Cloud Based Efficient Building Energy Management System." International Journal for Research in Applied Science and Engineering Technology V, no. III (March 30, 2017): 1284–89. http://dx.doi.org/10.22214/ijraset.2017.3236.
Full text
43
Gummadilli, Venkateswarlu. "GOT Assisted Smart Building Energy Management System." International Journal for Research in Applied Science and Engineering Technology 7, no. 8 (August 31, 2019): 422–30. http://dx.doi.org/10.22214/ijraset.2019.8059.
Full text
44
Zolkowski, Jerry, and Gary Nichols. "Building Support for an Energy Management System." Strategic Planning for Energy and the Environment 32, no. 3 (January 2013): 16–24. http://dx.doi.org/10.1080/10485236.2013.10596284.
Full text
45
Kallab, Lara, Richard Chbeir, Pierre Bourreau, Pascale Brassier, and Michael Mrissa. "HIT2GAP: Towards a better building energy management." Energy Procedia 122 (September 2017): 895–900. http://dx.doi.org/10.1016/j.egypro.2017.07.399.
Full text
46
Be´nard, C., B. Guerrier, and M. M. Rosset-Loue¨rat. "Optimal Building Energy Management: Part II—Control." Journal of Solar Energy Engineering 114, no. 1 (February 1, 1992): 13–22. http://dx.doi.org/10.1115/1.2929976.
Full text
47
Gruber, Jorn K., and Milan Prodanovic. "Two-stage Optimization for Building Energy Management." Energy Procedia 62 (2014): 346–54. http://dx.doi.org/10.1016/j.egypro.2014.12.396.
Full text
48
Liao, Zhinong. "Analysis and application of building heating and thermal energy management system." Thermal Science 24, no. 5 Part B (2020): 3337–45. http://dx.doi.org/10.2298/tsci191212125l.
Full textAbstract:
Objective: Through the analysis and application of building heating and thermal energy management system, this paper proposes a new thermal energy control strategy to improve the automation level of building heating optimization. Method: This study analyzes the principle of indoor heat balance in buildings. Aiming at the different heating needs of different buildings, a new control strategy is proposed by combining neural network models and fuzzy control theory. Finally, this strategy is applied to the actual building heating, and the practical application value of the strategy proposed by this study is verified through experiments. Result: In the heating stage, after applying the control strategy, the maximum relative error of the temperature is 0.047, and the average error is 0.013. In the antifreeze stage, the maximum error is 0.143 and the average error is 0.09. After the implementation of the control strategy, the temperature fluctuations in the room change little and remain almost between 19 ?C and 21 ?C. Buildings consume less heat with the highest energy saving rate of 14.37% and the average energy saving rate of 9.23%. Conclusion: The control strategy proposed in this study can adjust the indoor temperature according to the actual situation and achieve the purpose of reasonable heat use. Moreover, it has certain energy-saving effects and can be applied to building heating.
49
Cai, Hanmin, Fazel Khayatian, and Philipp Heer. "Experiment strategy for evaluating advanced building energy management system." Journal of Physics: Conference Series 2042, no. 1 (November 1, 2021): 012030. http://dx.doi.org/10.1088/1742-6596/2042/1/012030.
Full textAbstract:
Abstract Buildings are envisioned to play an active role in future low-carbon energy systems. The complexity of building energy management systems increases as they interface more and more subsystems and domains. As an important step to achieve a higher technology readiness level, these energy management systems need to be systematically tested in real-life conditions. Currently, there are no standard testing and experiment strategies in buildings to handle the mentioned complexity. Additionally, the levels of details reported in the existing experimental studies are heterogeneous. This paper summarizes an application of a holistic testing method to a flexible fully-equipped prosumer with the goal of facilitating test preparation, execution, replication, and comparison. Several empirical suggestions are provided, and a hybrid quantification strategy with digital twins is presented.
50
Karatzas, Stylianos K., Athanasios P. Chassiakos, and Anastasios I. Karameros. "Business Processes and Comfort Demand for Energy Flexibility Analysis in Buildings." Energies 13, no. 24 (December 12, 2020): 6561. http://dx.doi.org/10.3390/en13246561.
Full textAbstract:
Occupant behavior and business processes in a building environment constitute an inseparable set of important factors that drives energy consumption. Existing methodologies for building energy management lag behind in addressing these core parameters by focusing explicitly on the building’s structural components. Additional layers of information regarding indoor and outdoor environmental conditions and occupant behavior patterns, mostly driven by everyday business processes (schedules, loads, and specific business activities related to occupancy patterns and building operations), are necessary for the effective and efficient modeling of building energy performance in order to establish a holistic energy efficiency management framework. The aim of this paper was to develop a context-driven framework in which multiple levels of information regarding occupant behavior patterns resulting from everyday business processes were incorporated for efficient energy management in buildings. A preliminary framework evaluation was performed in a multifaceted university building involving a number of spaces, employees, business processes, and data from sensors and metering devices. The results derived by linking operational aspects and environmental conditions (temperature, humidity, and luminance) to occupant behavior underlying business processes and organizational structures indicated the potential energy savings: a max of 7.08% for Heating, ventilation, and air conditioning (HVAC), 19.46% for lighting and a maximum of 6.34% saving related to office appliances.