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An Integrated Spatial Analysis Computer Environment for Urban-Building Energy in Cities

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  • Yu Sun

    (School of Architecture, Harbin Institute of Technology, Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150000, China
    School of Architecture, Harbin Institute of Technology, Harbin 150006, China)

  • Elisabete A. Silva

    (Department of Land Economy, Cambridge University, 19 Silver Street, Cambridge CB3 9EP, UK)

  • Wei Tian

    (Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300222, China)

  • Ruchi Choudhary

    (Department of Engineering, Cambridge University, Trumpington Street, Cambridge CB2 1PZ, UK)

  • Hong Leng

    (School of Architecture, Harbin Institute of Technology, Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150000, China
    School of Architecture, Harbin Institute of Technology, Harbin 150006, China)

Abstract

In this paper, we developed a new integrated analysis environment in order to thoroughly analyses urban-building energy patterns, named IUBEA (integrated urban building energy analysis), which focuses on energy modeling and analysis of a city’s building stock to support district or city-scale efficiency programs. It is argued that cities and towns account for more than two-thirds of world energy consumption. Thus, this paper explores techniques to integrate a spatial analysis environment in the field of urban building energy assessment in cites to make full use of current spatial data relevant to urban-building energy consumption and energy efficiency policies. We illustrate how multi-scale sampling and analysis for energy consumption and simulate the energy-saving scenarios by taking as an example of Greater London. In the final part, is an application of an agent-based model (ABM) in IUBEA regarding behavioral and economic characteristics of building stocks in the context of building energy efficiency. This paper first describes the basic concept for this integrated spatial analysis environment IUBEA. Then, this paper discusses the main functions for this new environment in detail. The research serves a new paradigm of the multi-scale integrated analysis that can lead to an efficient energy model, which contributes the body of knowledge of energy modeling beyond the single building scale. Findings also proved that ABM is a feasible tool to tackle intellectual challenges in energy modeling. The final adoption example of Greater London demonstrated that the integrated analysis environment as a feasible tool for building energy consumption have unique advantages and wide applicability.

Suggested Citation

  • Yu Sun & Elisabete A. Silva & Wei Tian & Ruchi Choudhary & Hong Leng, 2018. "An Integrated Spatial Analysis Computer Environment for Urban-Building Energy in Cities," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4235-:d:183376
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    References listed on IDEAS

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    4. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    5. Frayssinet, Loïc & Merlier, Lucie & Kuznik, Frédéric & Hubert, Jean-Luc & Milliez, Maya & Roux, Jean-Jacques, 2018. "Modeling the heating and cooling energy demand of urban buildings at city scale," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2318-2327.
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    1. Khaled Galal Ahmed & S. M. Hossein Alipour, 2019. "Urban Form Compaction and Energy Use Intensity in New Social Housing Neighborhoods in the UAE," Sustainability, MDPI, vol. 11(14), pages 1-24, July.

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