An integrated spatial analysis computer environment for urban-building energy in cities
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Authors
Sun, Y
Silva, EA
Tian, W
Choudhary, R
Leng, H
Publication Date
2018Journal Title
Sustainability (Switzerland)
ISSN
2071-1050
Publisher
MDPI AG
Volume
10
Issue
11
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Sun, Y., Silva, E., Tian, W., Choudhary, R., & Leng, H. (2018). An integrated spatial analysis computer environment for urban-building energy in cities. Sustainability (Switzerland), 10 (11) https://doi.org/10.3390/su10114235
Abstract
<jats:p>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.</jats:p>
Keywords
integrated spatial analysis, building energy efficiency, multi-resolution analysis, scenario analysis
Sponsorship
Engineering and Physical Sciences Research Council (EP/N021614/1)
Technology Strategy Board (920035)
Engineering and Physical Sciences Research Council (EP/K000314/1)
Engineering and Physical Sciences Research Council (EP/L010917/1)
Engineering and Physical Sciences Research Council (EP/F034350/1)
Engineering and Physical Sciences Research Council (EP/I019308/1)
Identifiers
External DOI: https://doi.org/10.3390/su10114235
This record's URL: https://www.repository.cam.ac.uk/handle/1810/286928
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