Academic literature on the topic 'Energy management in building'
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Journal articles on the topic "Energy management in building"
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 textEl 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 textA. 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 textYoon, 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 textSiregar, 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 textKamali, 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 textBe´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 textTaesler, 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 textGabbar, 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 textMäättänen, 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 textDissertations / Theses on the topic "Energy management in building"
Seeam, Amar Kumar. "Validation of a building simulation tool for predictive control in energy management systems." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/16196.
Full textYeung, Chi-hung, and 楊志雄. "A survey of environmental impacts of building energy codes on energy management in building services installations." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B42575424.
Full textYeung, Chi-hung. "A survey of environmental impacts of building energy codes on energy management in building services installations." Click to view the E-thesis via HKUTO, 2000. http://sunzi.lib.hku.hk/hkuto/record/B42575424.
Full textLee, Sang Hoon. "Management of building energy consumption and energy supply network on campus scale." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43580.
Full textLu, Hai. "Energy Quality Management for New Building Clusters and Districts." Licentiate thesis, KTH, Installationsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118561.
Full textQC 20130221
Doylend, Nicholas. "Evaluating building energy performance : a lifecycle risk management methodology." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/18022.
Full textYang, Rui. "Development of Integrated Building Control Systems for Energy and Comfort Management in Intelligent Buildings." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1384447299.
Full textAfzalan, Milad. "Data-driven customer energy behavior characterization for distributed energy management." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99210.
Full textDoctor of Philosophy
Buildings account for more than 70% of electricity consumption in the U.S., in which more than 40% is associated with the residential sector. During recent years, with the advancement in Information and Communication Technologies (ICT) and the proliferation of data from consumers and devices, data-driven methods have received increasing attention for improving the energy-efficiency initiatives. With the increased adoption of renewable and distributed resources in buildings (e.g., solar panels and storage systems), an important aspect to improve the efficiency by matching the demand and supply is to add flexibility to the energy consumption patterns (e.g., trying to match the times of high energy demand from buildings and renewable generation). In this dissertation, we introduced data-driven solutions using the historical energy data of consumers with application to the flexibility provision. Specific problems include: (1) introducing a ranking score for buildings in a community to detect the candidates that can provide higher energy saving in the future events, (2) estimating the operation time of major energy-intensive appliances by analyzing the whole-house energy data using machine learning models, and (3) investigating the potential of achieving demand-supply balance in communities of buildings under the impact of different levels of solar panels, battery systems, and occupants energy consumption behavior. In the first study, a ranking score was introduced that analyzes the historical energy data from major loads such as washing machines and dishwashers in individual buildings and group the buildings based on their potential for energy saving at different times of the day. The proposed approach was investigated for real data of 400 buildings. The results for EV, washing machine, dishwasher, dryer, and AC show that the approach could successfully rank buildings by their demand reduction potential at critical times of the day. In the second study, machine learning (ML) frameworks were introduced to identify the times of the day that major energy-intensive appliances are operated. To do so, the input of the model was considered as the main circuit electricity information of the whole building either in lower-resolution data (smart meter data) or higher-resolution data (60Hz). Unlike previous studies that required considerable efforts for training the model (e.g, defining specific parameters for mathematical formulation of the appliance model), the aim was to develop data-driven approaches to learn the model either from the same building itself or from the neighbors that have appliance-level metering devices. For the lower-resolution data, the objective was that, if a few samples of buildings have already access to plug meters (i.e., appliance level data), one could estimate the operation time of major appliances through ML models by matching the energy behavior of the buildings, reflected in their smart meter information, with the ones in the neighborhood that have similar behaviors. For the higher-resolution data, an algorithm was introduced that extract the appliance signature (i.e., change in the pattern of electricity signal when an appliance is operated) to create a processed library and match the new events (i.e., times that an appliance is operated) by investigating the similarity with the ones in the processed library. The investigation on major appliances like AC, EV, dryer, and washing machine shows the >80% accuracy on standard performance metrics. In the third study, the impact of adding small-scale distributed resources to individual buildings (solar panels, battery, and users' practice in changing their energy consumption behavior) for matching the demand-supply for the communities was investigated. A community of ~250 buildings was considered to account for realistic uncertain energy behavior across households. It was shown that even when all buildings have a solar panel, during the afternoon times (after 4 pm) in which still ~30% of solar generation is possible, the community could not supply their demand. Furthermore, it was observed that including users' practice in changing their energy consumption behavior and battery could improve the utilization of solar energy around >10%-15%. The results can serve as a guideline for utilities and decision-makers to understand the impact of such different scenarios on improving the utilization of solar adoption. These series of studies in this dissertation contribute to the body of literature by introducing data-driven solutions/investigations for characterizing the energy behavior of households, which could increase the flexibility in energy consumption patterns.
Marmoux, Pierre-Benoît. "Energy services for high performance buildings and building clusters - towards better energy quality management in the urban built environment." Thesis, KTH, Byggvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98798.
Full textMauser, Ingo [Verfasser], and H. [Akademischer Betreuer] Schmeck. "Multi-modal Building Energy Management / Ingo Mauser ; Betreuer: H. Schmeck." Karlsruhe : KIT-Bibliothek, 2017. http://d-nb.info/113602154X/34.
Full textBooks on the topic "Energy management in building"
Associates, Paul Overy and. Building energy management systems. Dublin: Irish Energy Centre, 1996.
Find full textP.S.A. Specialist Services. Energy management: A checklist for building services. Watford: Building Research Establishment, 1992.
Find full textUniversity College Dublin. Buildings and Services Department. and Irish Energy Centre, eds. Building energy management systems at UCD Belfield. Dublin: Irish Energy Centre, 1996.
Find full textEnergy management and operating costs in buildings. London: E & FN Spon, 1997.
Find full textHyde, Timothy Ronald. Integrated building energy management and condition monitoring ssystems. Manchester: University of Manchester, 1995.
Find full textChartered Institution of Building Services Engineers and Great Britain. Department of Trade and Industry, eds. Commissioning management. London: CIBSE, 2003.
Find full textC, Sherratt A. F., Construction Industry Conference Centre, and Chartered Institution of Building Services Engineers., eds. Energy management in buildings. London: Hutchinson, 1986.
Find full textMulholland, John. Energy management in buildings. Lincoln: IEMA, 2003.
Find full textPapadopoulou, Elena V. M. Energy Management in Buildings Using Photovoltaics. London: Springer London, 2012.
Find full textBuilding energy management systems: Applications to low energy HVAC and natural ventilation control. 2nd ed. London: E & FN Spon, 2000.
Find full textBook chapters on the topic "Energy management in building"
Tokuç, Ayça. "Building Energy Management." In Encyclopedia of Sustainable Management, 1–7. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-02006-4_82-1.
Full textRamli, Nor Azuana, and Mel Keytingan M. Shapi. "Building Energy Management." In Control of Smart Buildings, 37–73. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0375-5_3.
Full textElder, Keith E. "Building Envelope." In Energy Management Handbook, 233–60. Ninth edition. | Louisville, Kentucky : Fairmont Press, Inc., [2018]: River Publishers, 2020. http://dx.doi.org/10.1201/9781003151364-9.
Full textBarooah, Prabir. "Building Energy Management System." In Encyclopedia of Systems and Control, 1–7. London: Springer London, 2019. http://dx.doi.org/10.1007/978-1-4471-5102-9_100083-1.
Full textBarooah, Prabir. "Building Energy Management System." In Encyclopedia of Systems and Control, 180–87. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_100083.
Full textSayed, Khairy, and Hossam A. Gabbar. "Building Energy Management Systems (BEMS)." In Energy Conservation in Residential, Commercial, and Industrial Facilities, 15–81. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119422099.ch2.
Full textSo, Albert Ting-pat, and Wai Lok Chan. "Building Automation and Energy Management." In The International Series on Asian Studies in Computer and Information Science, 41–46. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5019-8_7.
Full textBaggini, Angelo, and Annalisa Marra. "Building Automation, Control and Management Systems." In Electrical Energy Efficiency, 71–124. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119990048.ch4.
Full textLuoranen, Mika, and Samuli Honkapuro. "Controlling the Building Energy Footprint." In Encyclopedia of Sustainable Management, 1–9. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-02006-4_420-1.
Full textYao, Runming, and Alan Short. "Energy Efficient Building Design." In Design and Management of Sustainable Built Environments, 179–202. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4781-7_10.
Full textConference papers on the topic "Energy management in building"
"Building energy management technologies." In IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2014. http://dx.doi.org/10.1109/iecon.2014.7049312.
Full textMarchiori, Alan, Qi Han, William C. Navidi, and Lieko Earle. "Building the case for automated building energy management." In the Fourth ACM Workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2422531.2422536.
Full textRahimian, Mina, Daniel Cardoso-Llach, and Lisa Domenica Iulo. "Participatory Energy Management in Building Networks." In First International Symposium on Sustainable Human–Building Ecosystems. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479681.003.
Full textChandra, Rohit, Soumen Banerjee, and Sanjib Kumar Panda. "Building energy management system for transactive energy framework." In 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2018. http://dx.doi.org/10.1109/pedes.2018.8707803.
Full textAzzi, D. "Multivariable modelling for building energy management." In IEE Colloquium on Modelling and Simulation for Thermal Management. IEE, 1997. http://dx.doi.org/10.1049/ic:19970268.
Full textKrishnamurthy, Karthik, Pradeep Singh, and Nikhil Sriraman. "GeoBMS for Better Building Energy Management." In ASME 2019 13th International Conference on Energy Sustainability collocated with the ASME 2019 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/es2019-3901.
Full textZucker, Gerhard, Usman Habib, Max Blochle, Alexander Wendt, Samer Schaat, and Lydia Chaido Siafara. "Building energy management and data analytics." In 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST). IEEE, 2015. http://dx.doi.org/10.1109/sedst.2015.7315253.
Full textJamil, Majid, and Sonam Mittal. "Building Energy Management System: A Review." In 2017 14th IEEE India Council International Conference (INDICON). IEEE, 2017. http://dx.doi.org/10.1109/indicon.2017.8488004.
Full textSaurav, Kumar, and Vijay Arya. "Efficient Management of Building Energy Resources." In 2019 11th International Conference on Communication Systems & Networks (COMSNETS). IEEE, 2019. http://dx.doi.org/10.1109/comsnets.2019.8711105.
Full textHettiarachchi, D. G., G. M. A. Jaward, V. P. V. Tharaka, J. M. D. S. Jeewandara, and K. T. M. U. Hemapala. "IoT Based Building Energy Management System." In 2021 3rd International Conference on Electrical Engineering (EECon). IEEE, 2021. http://dx.doi.org/10.1109/eecon52960.2021.9580866.
Full textReports on the topic "Energy management in building"
Rahman, Saifur. Building Energy Management Open Source Software. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1376213.
Full textUnknown. BUILDING TRIBAL CAPABILITIES IN ENERGY AND ENVIRONMENTAL MANAGEMENT. Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/767398.
Full textGalvin, James, and Trevor Bailey. Scalable Deployment of Advanced Building Energy Management Systems. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada600339.
Full textAdetola, Veronica, Sunil Ahuja, Trevor Bailey, Bing Dong, Taimoor Khawaja, Dong Luo, Zheng O Neill, and Madhusudana Shashanka. Scalable Deployment of Advanced Building Energy Management Systems. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ada600343.
Full textLopez, Mary. BUILDING TRIBAL CAPABILITIES IN ENERGY AND ENVIRONMENTAL MANAGEMENT. Office of Scientific and Technical Information (OSTI), July 2003. http://dx.doi.org/10.2172/821595.
Full textZavala, Victor M. Building-Wide, Adaptive Energy Management Systems for High-Performance Buildings: Final CRADA Report. Office of Scientific and Technical Information (OSTI), October 2016. http://dx.doi.org/10.2172/1334081.
Full textHernandez, Adriana. HVAC & Building Management Control System Energy Efficiency Replacements. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1063877.
Full textRowe, Anthony, Mario Berges, and Christopher Martin. An Extensible Sensing and Control Platform for Building Energy Management. Office of Scientific and Technical Information (OSTI), April 2016. http://dx.doi.org/10.2172/1245109.
Full textZavala, V. M., C. Thomas, M. Zimmerman, and A. Ott. Next-generation building energy management systems and implications for electricity markets. Office of Scientific and Technical Information (OSTI), August 2011. http://dx.doi.org/10.2172/1024600.
Full textJohra, Hicham. What is building energy flexibility – demand response? Department of the Built Environment, Aalborg University, 2023. http://dx.doi.org/10.54337/aau518320296.
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