Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates
Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates
Building performance and solar energy system simulations are typically undertaken with standardised weather files which do not generally consider future climate predictions. This paper investigates the generation of climate change adapted simulation weather data for locations worldwide from readily available data sets. An approach is presented for ‘morphing’ existing EnergyPlus/ESP-r Weather (EPW) data with UK Met Office Hadley Centre general circulation model (GCM) predictions for a ‘medium–high’ emissions scenario (A2). It was found that, for the United Kingdom (UK), the GCM ‘morphed’ data shows a smoothing effect relative to data generated from the corresponding regional climate model (RCM) outputs. This is confirmed by building performance simulations of a naturally ventilated UK office building which highlight a consistent temperature distribution profile between GCM and RCM ‘morphed’ data, yet with a shift in the distribution. It is demonstrated that, until more detailed RCM data becomes available globally, ‘morphing’ with GCM data can be considered as a viable interim approach to generating climate change adapted weather data.
514-524
Jentsch, M.F.
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James, P.A.B.
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Bourikas, L.
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Bahaj, A.S.
a64074cc-2b6e-43df-adac-a8437e7f1b37
July 2013
Jentsch, M.F.
c3be9da0-453d-4e1d-8620-0cf5873ce501
James, P.A.B.
da0be14a-aa63-46a7-8646-a37f9a02a71b
Bourikas, L.
c61c3bca-1d1e-454d-8585-92e8db16a93a
Bahaj, A.S.
a64074cc-2b6e-43df-adac-a8437e7f1b37
Jentsch, M.F., James, P.A.B., Bourikas, L. and Bahaj, A.S.
(2013)
Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates.
Renewable Energy, 55, .
(doi:10.1016/j.renene.2012.12.049).
Abstract
Building performance and solar energy system simulations are typically undertaken with standardised weather files which do not generally consider future climate predictions. This paper investigates the generation of climate change adapted simulation weather data for locations worldwide from readily available data sets. An approach is presented for ‘morphing’ existing EnergyPlus/ESP-r Weather (EPW) data with UK Met Office Hadley Centre general circulation model (GCM) predictions for a ‘medium–high’ emissions scenario (A2). It was found that, for the United Kingdom (UK), the GCM ‘morphed’ data shows a smoothing effect relative to data generated from the corresponding regional climate model (RCM) outputs. This is confirmed by building performance simulations of a naturally ventilated UK office building which highlight a consistent temperature distribution profile between GCM and RCM ‘morphed’ data, yet with a shift in the distribution. It is demonstrated that, until more detailed RCM data becomes available globally, ‘morphing’ with GCM data can be considered as a viable interim approach to generating climate change adapted weather data.
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e-pub ahead of print date: 11 February 2013
Published date: July 2013
Organisations:
Energy & Climate Change Group
Identifiers
Local EPrints ID: 348550
URI: http://eprints.soton.ac.uk/id/eprint/348550
ISSN: 0960-1481
PURE UUID: e8d9a2eb-e39e-495a-a654-ade2fafb9373
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Date deposited: 14 Feb 2013 09:31
Last modified: 15 Mar 2024 02:46
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Author:
M.F. Jentsch
Author:
L. Bourikas
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