Urban meteorological forcing data for building energy simulation

Tang, Y., Sun, T. ORCID: https://orcid.org/0000-0002-2486-6146, Luo, Z. ORCID: https://orcid.org/0000-0002-2082-3958, Omidvar, H., Theeuwes, N. ORCID: https://orcid.org/0000-0002-9277-8551, Xie, X., Xiong, J., Yao, R. ORCID: https://orcid.org/0000-0003-4269-7224 and Grimmond, S. ORCID: https://orcid.org/0000-0002-3166-9415 (2021) Urban meteorological forcing data for building energy simulation. Building and Environment, 204. 108088. ISSN 0360-1323 doi: 10.1016/j.buildenv.2021.108088

Abstract/Summary

Despite building energy use being one of the largest global energy consumers, building energy simulations rarely take the actual local neighbourhood scale climate into account. A new globally applicable approach is proposed to support buildings energy design. ERA5 (European Centre Reanalysis version 5) data are used with SUEWS (Surface Urban Energy and Water balance Scheme) to obtain (in this example case) an urban typical meteorological year (uTMY) that is useable in building energy modelling. The predicted annual energy demand (heating and cooling) for a representative four-storey London residential apartment using uTMY is 24.1% less (cf. conventional TMY). New vertical profile coefficients for wind speed and air temperature in EnergyPlus are derived using SUEWS. EneryPlus simulations with these neighbourhood scale coefficients and uTMY data, predict the top two floors have ∼40% larger energy demand (cf. the open terrain coefficients with uTMY data). Vertical variations in wind speed have a greater impact on the simulated building energy than equivalent variations in temperature. This globally appliable approach can provide local meteorological data for building energy modelling, improving design for the local context through characterising the surrounding neighbourhood.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/99057
Identification Number/DOI	10.1016/j.buildenv.2021.108088
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology Science > School of the Built Environment > Urban Living group Science > School of the Built Environment > Energy and Environmental Engineering group
Publisher	Elsevier
Download/View statistics	View download statistics for this item