Modeling Boston: A workflow for the efficient generation and maintenance of urban building energy models from existing geospatial datasets

Carlos Cerezo Davila, Christoph F. Reinhart and Jamie L. Bemis

Energy, 2016, vol. 117, issue P1, 237-250

Abstract: City governments and energy utilities are increasingly focusing on the development of energy efficiency strategies for buildings as a key component in emission reduction plans and energy supply strategies. To support these diverse needs, a new generation of Urban Building Energy Models (UBEM) is currently being developed and validated to estimate citywide hourly energy demands at the building level. However, in order for cities to rely on UBEMs, effective model generation and maintenance workflows are needed based on existing urban data structures.

Keywords: Urban modeling; Energy simulation; Building archetypes; Geospatial data (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (54)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:117:y:2016:i:p1:p:237-250

DOI: 10.1016/j.energy.2016.10.057

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