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

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  • Yanxia Li

    (School of Architecture, Southeast University, Nanjing 210096, China
    Key Laboratory of Urban and Architectural Heritage Conservation, Ministry of Education, Nanjing 210096, China)

  • Chao Wang

    (School of Architecture, Southeast University, Nanjing 210096, China
    Key Laboratory of Urban and Architectural Heritage Conservation, Ministry of Education, Nanjing 210096, China)

  • Sijie Zhu

    (School of Architecture, Southeast University, Nanjing 210096, China
    Key Laboratory of Urban and Architectural Heritage Conservation, Ministry of Education, 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
    Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat (Tongji University), Ministry of Education, Shanghai 200092, China)

  • Xing Shi

    (School of Architecture, Southeast University, Nanjing 210096, China
    College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
    Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat (Tongji University), Ministry of Education, Shanghai 200092, China)

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.

Suggested Citation

  • Yanxia Li & Chao Wang & Sijie Zhu & Junyan Yang & Shen Wei & Xinkai Zhang & Xing Shi, 2020. "A Comparison of Various Bottom-Up Urban Energy Simulation Methods Using a Case Study in Hangzhou, China," Energies, MDPI, vol. 13(18), pages 1-23, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4781-:d:413116
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