Overview
- Editors:
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Xingxing Zhang
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Dalarna University, Falun, Sweden
- Explores the multidisciplinary fields of energy systems, occupant behavior, thermal comfort, and air quality
- Applies a wide range of methods from classical statistics, machine learning, and artificial intelligence
- Covers analyses in heating/cooling, ventilation, and power systems in different processes from design
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Table of contents (21 chapters)
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Energy in Buildings
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- Yixuan Wei, Xingxing Zhang, Yong Shi
Pages 11-45
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- Jinshun Wu, Yixuan Wei, Xingxing Zhang
Pages 47-79
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- Song Pan, Da Yan, Xingxing Zhang, Yixuan Wei
Pages 81-92
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- Yuan Jin, Da Yan, Xingxing Zhang, Jingjing An, Mengjie Han
Pages 93-114
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- Jiale Chai, Pei Huang, Jingchun Shen, Xingxing Zhang
Pages 115-139
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Thermal Comfort and Air Quality in Buildings
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Front Matter
Pages 163-163
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- Song Pan, Xinru Wang, Xingxing Zhang, Li Chang, Yiqiao Liu
Pages 165-178
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- Mengjie Han, Ross May, Xingxing Zhang
Pages 179-205
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- Ross May, Mengjie Han, Xingxing Zhang
Pages 207-226
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- Yu Li, Yacine Rezgui, Annie Guerriero, Xingxing Zhang, Mengjie Han, Sylvain Kubicki et al.
Pages 227-247
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- Yu Li, Yacine Rezgui, Sylvain Kubicki, Annie Guerriero, Xingxing Zhang
Pages 249-267
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- Xinru Wang, Song Pan, Xingxing Zhang, Li Chang, Yiqiao Liu
Pages 269-282
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Sustainability in Communities and Cities
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Front Matter
Pages 283-283
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- Pei Huang, Marco Lovati, Xingxing Zhang
Pages 285-315
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- Pei Huang, Xingxing Zhang
Pages 317-336
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- Yongjun Sun, Yelin Zhang, Xingxing Zhang
Pages 337-358
About this book
This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.
Editors and Affiliations
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Dalarna University, Falun, Sweden
Xingxing Zhang
About the editor
Xingxing Zhang is an Associate Professor in energy technology at Dalarna University, Sweden. He has multidisciplinary research experience, especially in energy systems, energy data analytics, adaption to future climate and urban building energy modelling for sustainable transition. He is leading the City Information Modelling (CIM) group at the university, which includes technical, economic, and environmental analyses by interdisciplinary research methods from building physics, energy engineering, informatics, machine learning and artificial intelligence. He is active in EU, UK and China research networks, by working in Swedish national projects, Sweden-China joint project, Nordic research project, EU H2020/FP7 projects, EU cost action and IEA tasks. He has won the second place of “EU-China Dragon-star Innovation Prize” in 2015. He serves as Editor Board Member of two journals and the regular reviewer for many international journals. He has an Accredited Professional Certificate of Leadership in Energy and Environmental Design (LEED AP) and he is UK Chartered Engineer (CEng), Member of Chartered Institution of Building Services Engineers (CIBSE) and CIB Commission Member of W098 Intelligent and Responsive Buildings.