The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A review of urban energy system models: Approaches, challenges and opportunities
Abstract
Energy use in cities has attracted significant research in recent years. However such a broad topic inevitably results in number of alternative interpretations of the problem domain and the modelling tools used in its study. This paper seeks to pull together these strands by proposing a theoretical definition of an urban energy system model and then evaluating the state of current practice. Drawing on a review of 219 papers, five key areas of practice were identified – technology design, building design, urban climate, systems design, and policy assessment – each with distinct and incomplete interpretations of the problem domain. We also highlight a sixth field, land use and transportation modelling, which has direct relevance to the use of energy in cities but has been somewhat overlooked by the literature to date. Despite their diversity, these approaches to urban energy system modelling share four common challenges in understanding model complexity, data quality and uncertainty, model integration, and policy relevance. We then examine the opportunities for improving current practice in urban energy systems modelling, focusing on the potential of sensitivity analysis and cloud computing, data collection and integration techniques, and the use of activity-based modelling as an integrating framework. The results indicate that there is significant potential for urban energy systems modelling to move beyond single disciplinary approaches towards a sophisticated integrated perspective that more fully captures the theoretical intricacy of urban energy systems.
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Citations
Cites
Discrete Choice Methods with Simulation
Train, K. E. (2001) · doi:10.1017/cbo9780511805271 · Cited by 7,784
Global Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2007) · doi:10.1002/9780470725184 · Cited by 6,430
Application of multi-criteria decision making to sustainable energy planning—A review
Pohekar, S. D., & Ramachandran, M. (2004) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2003.12.007 · Cited by 1,938
Cited by
Industrial ecology in integrated assessment models
Pauliuk, S., Arvesen, A., Stadler, K., & Hertwich, E. G. (2017) · Nature Climate Change · doi:10.1038/nclimate3148 · Cited by 288
A data-driven predictive model of city-scale energy use in buildings
Kontokosta, C. E., & Tull, C. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.04.005 · Cited by 288
Zakeri, B., Syri, S., & Rinne, S. (2015) · Energy · doi:10.1016/j.energy.2015.01.007 · Cited by 107
Zhang, L., Fu, X., Li, Y., & Chen, J. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106244 · Cited by 40
Silverman, R. E., Flores, R. J., & Brouwer, J. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115974 · Cited by 17
Metadata
- Authors
- Keirstead, J., Jennings, M., & Sivakumar, A.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2012-08
- Volume
- 16
- Issue
- 6
- Pages
- 3847-3866
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2152822532
- Cited by
- 641
- References
- 3
- FWCI
- 14.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- Keirstead, J., Jennings, M., & Sivakumar, A. (2012). A review of urban energy system models: Approaches, challenges and opportunities. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2012.02.047
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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