Spatiotemporal variability in building energy use in New York City

Y. Olivo, A. Hamidi and P. Ramamurthy

Energy, 2017, vol. 141, issue C, 1393-1401

Abstract: Data on building energy use for large and dense cities is not yet available at adequate spatial and temporal scales. The energy consumption from buildings significantly influences the local climate and this impact is not adequately integrated into regional or local scale weather models. The primary objective of his study is to understand and map building energy consumption and quantify its impact on the urban environment; here, New York City (NYC) is used as a test case. The project involved a detailed classification of buildings in NYC using a high-resolution landuse/landcover dataset. The customized classification was then coupled with a single building energy model (SBEM) to estimate the building energy use. The developed model matched the annual energy use of NYC within 5% of the observed value. Coupled energy simulations were then performed with the Weather Research and Forecasting (WRF) model. The results show that heat released from building's heating and air conditioning system during extreme heat events can be as high as 18% of the overall available energy. Finally, a comparison between the average annual energy use, the urban heat island intensity (UHI) and the landcover/landuse fraction for various parcels during extreme heat events indicated that neighborhoods surrounding the highly-commercialized zones were disproportionately impacted by high UHI values. The increase was related to advection of heat.

Keywords: Building energy consumption; Urban heat island; Anthropogenic heat emission; Megacity (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:141:y:2017:i:c:p:1393-1401

DOI: 10.1016/j.energy.2017.11.066

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