Modeling urban building energy use: A review of modeling approaches and procedures

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With rapid urbanization and economic development, the world has been experiencing an unprecedented increase in energy consumption and greenhouse gas (GHG) emissions. While reducing energy consumption and GHG emissions is a common interest shared by major developed and developing countries, actions to enable these global reductions are generally implemented at the city scale. This is because baseline information from individual cities plays an important role in identifying economical options for improving building energy efficiency and reducing GHG emissions. Numerous approaches have been proposed for modeling urban building energy use in the past decades. This paper aims to provide an up-to-date review of the broad categories of energy models for urban buildings and describes the basic workflow of physics-based, bottom-up models and their applications in simulating urban-scale building energy use. Because there are significant differences across models with varied potential for application, strengths and weaknesses of the reviewed models are also presented. This is followed by a discussion of challenging issues associated with model preparation and calibration. (C) 2017 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2017-12
Language
English
Article Type
Review
Keywords

UK HOUSING STOCK; INTEGRATED ASSESSMENT MODEL; CONDITIONAL DEMAND ANALYSIS; FUEL CO2 EMISSIONS; RESIDENTIAL SECTOR; CLIMATE-CHANGE; NEURAL-NETWORKS; SIMULATION-MODELS; CALIBRATION PROCEDURE; SENSITIVITY-ANALYSIS

Citation

ENERGY, v.141, pp.2445 - 2457

ISSN
0360-5442
DOI
10.1016/j.energy.2017.11.071
URI
http://hdl.handle.net/10203/240244
Appears in Collection
MT-Journal Papers(저널논문)
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