A Comparison of Various Bottom-Up Urban Energy Simulation Methods Using a Case Study in Hangzhou, China

Yanxia Li, Chao Wang, Sijie Zhu, Junyan Yang, Shen Wei, Xinkai Zhang and Xing Shi
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Yanxia Li: School of Architecture, Southeast University, Nanjing 210096, China
Chao Wang: School of Architecture, Southeast University, Nanjing 210096, China
Sijie Zhu: School of Architecture, Southeast University, Nanjing 210096, China
Junyan Yang: School of Architecture, Southeast University, Nanjing 210096, China
Shen Wei: The Bartlett School of Construction and Project Management, University College London, London WC1E7HB, UK
Xinkai Zhang: College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
Xing Shi: School of Architecture, Southeast University, Nanjing 210096, China

Energies, 2020, vol. 13, issue 18, 1-23

Abstract: Urban energy simulation can provide valuable information to urban planning, urban energy management, and urban emission reduction. Therefore, urban energy simulation has become an active research discipline. Various urban energy simulation methods and techniques have been developed and applied to cities on different scales. A review is conducted to categorize these methods and techniques and to analyze their pros and cons. Several representative methods and techniques are compared for their data inputs, suitable scales, accuracy, and computing speeds. Hangzhou South Railway Station area, which contains 522 buildings, is used as the case to evaluate the effectiveness and challenges of different urban energy simulation methods.

Keywords: urban energy simulation method; bottom-up approach; multi-zone models (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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