Urban building energy modeling (UBEM): a systematic review of challenges and opportunities

Kong, Dezhou, Cheshmehzangi, Ali, Zhang, Zhiang , Pourroostaei Ardakani, Saeid and Gu, Tingyue (2023) Urban building energy modeling (UBEM): a systematic review of challenges and opportunities. Energy Efficiency, 16 (69). ISSN 1570-646X

Full content URL: https://doi.org/10.1007/s12053-023-10147-z

Urban building energy modeling (UBEM): a systematic review of challenges and opportunities
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In recent decades, urban energy consumption and carbon emissions have expanded rapidly on a global scale. Building sector, in particular, accounts for approximately 40% of overall energy use. Urban planners and decision-makers have a significant responsibility to achieve sustainable energy and cli- mate objectives. Urban building energy modeling (UBEM) has increased in popularity in recent years as a tool for calculating urban-scale energy use in buildings with limited resources, and that facilitated the formulation of new energy policies. However, published studies of UBEM methodologies and tools lack comprehensive examinations of the potential limitations of research and the prospects of future opportunities. This paper provides a complete conceptual framework for UBEM based on extensive literature reviews and prior researchers’ work. In addition to providing a comprehensive understanding of the various UBEM approaches and tools, future research directions are explored. The results demonstrate that earlier researches did not adequately account for input uncertainty and lacked proper simulation and calibration control for algorithms/models. These challenges not only increased the workload and computational burden of modelers but also diminished the precision of model calculations. In response, this paper provides targeted recommendations for each essential phase of the present UBEM workflow, namely model input, model development, and model calibration, to address these limitations, as well as a comprehensive analysis of future prospects. The main aim of the research is to further UBEM development as a faster, more accurate and multiscale supportive tool and establish a framework for future UBEM methods.

Keywords:Urban building energy modeling, Energy simulations, Urban scale, Systematic review
Subjects:K Architecture, Building and Planning > K210 Building Technology
G Mathematical and Computer Sciences > G510 Information Modelling
Divisions:COLLEGE OF HEALTH AND SCIENCE > School of Computer Science
ID Code:55693
Deposited On:18 Aug 2023 10:11

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