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Authors:David R. S. Williams: Centre for Environmental Strategy, Faculty of Engineering and Physical Sciences, University of Surrey, UK
Lucia Elghali: Parsons Brinckerhoff, Westbrook Mills, UK
Russel C. Wheeler:
Publication title:Use of Stochastic Weather Generators in the Projection of Building Energy Demand in a Changing Climate
Conference:World Renewable Energy Congress – Sweden; 8–13 May; 2011; Linköping; Sweden
Publication type: Abstract and Fulltext
Issue:057
Volume:8
Article No.:041
Abstract:Compliance with building codes in many countries requires energy simulation of designs in local climate conditions. However; over a building’s lifespan; weather conditions may alter considerably due to climate change. There is a risk therefore that a future climate may alter lifecycle heating and cooling demands from those experienced today. The development of ‘stochastic weather generators’ provides an opportunity to produce synthetic weather data representative of a future climate. These models are calibrated against observed data; before being refitted to the climate change projections of global circulation models. The generator’s output is thousands of years of weather data for a particular future time period. Theoretically these outputs would be appropriate for building energy demand simulation; although analysis of such a high number of projected years would be impractical. This research has developed a method whereby a unique energy “fingerprint” is created for a building and used to estimate heating and cooling demands without the requirement for hours of computation. Energy demand estimates from the fingerprint have been crosschecked with dynamic simulation; indicating a high degree of correlation. The weather generator utilised in this study has been produced by the UK Climate Impact Programme (UKCIP) and is freely available on-line.
Language:English
Keywords:Climate change; building energy demand
Year:2011
No. of pages:8
Pages:2056-2063
ISBN:978-91-7393-070-3
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/057/vol8/041/ecp57vol8_041.pdf
Available:2011-11-03
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
David R. S. Williams, Lucia Elghali, Russel C. Wheeler (2011). Use of Stochastic Weather Generators in the Projection of Building Energy Demand in a Changing Climate, World Renewable Energy Congress – Sweden; 8–13 May; 2011; Linköping; Sweden http://dx.doi.org/10.3384/ecp110572056 (accessed 10/31/2014)