Study on Building Energy Efficiency Related to Simulation Models
This Special Issue focuses on the need for advanced simulation techniques and computational methods in improving building energy efficiency. With increasing trends in global energy consumption and the escalating impact of climate change, reliable predictive modeling of building performance and energ...
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| Ձևաչափ: | Online |
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| Լեզու: | անգլերեն |
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MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20260416T142754_9783725854257_31 |
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| _version_ | 1869530895625486336 |
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| collection | Directory of Open Access Books |
| description | This Special Issue focuses on the need for advanced simulation techniques and computational methods in improving building energy efficiency. With increasing trends in global energy consumption and the escalating impact of climate change, reliable predictive modeling of building performance and energy consumption has become a critical part of sustainable construction. This Reprint gathers the state-of-the-art research that fills the gap between theoretical modeling and practice in the energy management and environmental performance of buildings. This collection includes a variety of methodological approaches, such as machine learning models for predicting thermal loads and advanced computation methods used to optimize an HVAC system. The presented studies have explored diverse building typologies in diverse climate regions, covering retrofit impact in various climatic regions, energy disaggregation for buildings, and improved methods of thermal bridge analysis. Collectively, these contributions extend the scientific understanding of optimizing building performance using advanced modeling approaches, facilitating the shift toward a net-zero energy future and sustainable development for the building sector. |
| format | Online |
| id | doab-20.500.12854ir-174726 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1747262026-04-16T16:05:19Z Study on Building Energy Efficiency Related to Simulation Models Shen, Pengyuan Yi, Yun Kyu Wang, Huilong Building energy efficiency Simulation models Building performance HVAC systems Machine learning Energy retrofitting Building optimization Passive strategies Building envelope thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials This Special Issue focuses on the need for advanced simulation techniques and computational methods in improving building energy efficiency. With increasing trends in global energy consumption and the escalating impact of climate change, reliable predictive modeling of building performance and energy consumption has become a critical part of sustainable construction. This Reprint gathers the state-of-the-art research that fills the gap between theoretical modeling and practice in the energy management and environmental performance of buildings. This collection includes a variety of methodological approaches, such as machine learning models for predicting thermal loads and advanced computation methods used to optimize an HVAC system. The presented studies have explored diverse building typologies in diverse climate regions, covering retrofit impact in various climatic regions, energy disaggregation for buildings, and improved methods of thermal bridge analysis. Collectively, these contributions extend the scientific understanding of optimizing building performance using advanced modeling approaches, facilitating the shift toward a net-zero energy future and sustainable development for the building sector. 2026-04-16T16:05:12Z 2026-04-16T16:05:12Z 2025 book ONIX_20260416T142754_9783725854257_31 9783725854257 9783725854264 https://directory.doabooks.org/handle/20.500.12854/174726 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11601 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5426-4 10.3390/books978-3-7258-5426-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725854257 9783725854264 268 CH open access |
| spellingShingle | Building energy efficiency Simulation models Building performance HVAC systems Machine learning Energy retrofitting Building optimization Passive strategies Building envelope thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials Study on Building Energy Efficiency Related to Simulation Models |
| title | Study on Building Energy Efficiency Related to Simulation Models |
| title_full | Study on Building Energy Efficiency Related to Simulation Models |
| title_fullStr | Study on Building Energy Efficiency Related to Simulation Models |
| title_full_unstemmed | Study on Building Energy Efficiency Related to Simulation Models |
| title_short | Study on Building Energy Efficiency Related to Simulation Models |
| title_sort | study on building energy efficiency related to simulation models |
| topic | Building energy efficiency Simulation models Building performance HVAC systems Machine learning Energy retrofitting Building optimization Passive strategies Building envelope thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials |
| topic_facet | Building energy efficiency Simulation models Building performance HVAC systems Machine learning Energy retrofitting Building optimization Passive strategies Building envelope thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials |
| url | ONIX_20260416T142754_9783725854257_31 |