On the creation of future probabilistic design weather years from UKCP09
TLDR
In this article, a method for the creation of future probabilistic reference years for use within thermal models is discussed, and a comparison is made with the current set of future weather years based on the UKCIP.Abstract:
Weather data are used extensively by building scientists and engineers to study the performance of their designs, help compare design alternatives and ensure compliance with building regulations. Given a changing climate, there is a need to provide data for future years so that practising engineers can investigate the impact of climate change on particular designs and examine any risk the commissioning client might be exposed to. In addition, such files are of use to building scientists in developing generic solutions to problems such as elevated internal temperatures and poor thermal comfort. With the publication of the UK Climate Projections (UKCP09) such data can be created for future years up to 2080 and for various probabilistic projections of climate change by the use of a weather generator. Here, we discuss a method for the creation of future probabilistic reference years for use within thermal models. In addition, a comparison is made with the current set of future weather years based on the UKCIP...read more
Citations
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A comparison of future weather created from morphed observed weather and created by a weather generator
TL;DR: In this paper, the use of UKCP09 climate change anomalies within the morphing procedure gave an unrealistic representation of future temperatures both mathematically and physically, limiting its use. But the potential to use both products to investigate the effects of climate change is clear.
Journal ArticleDOI
The use of UKCP09 to produce weather files for building simulation
TL;DR: In this paper, hourly weather years such as the test reference years (TRYs) and design summer years (DSYs) have been used for building energy and thermal performance analysis.
Journal ArticleDOI
A novel approach to investigate the thermal comfort of the lightweight relocatable building integrated with PCM in different climates of Kazakhstan during summertime
TL;DR: In this paper, the authors investigated the potential of PCM and natural ventilation to strengthen the thermal comfort inside the lightweight relocatable building located in Kazakhstan during the summer period, and quantification of the impact of the PCM on thermal comfort was accomplished using the concepts of maximum operative temperature reduction and discomfort index.
Journal ArticleDOI
Application of typical and extreme weather data sets in the hygrothermal simulation of building components for future climate - A case study for a wooden frame wall
TL;DR: In this article, the authors extended the application of such weather data in the hygrothermal simulation of buildings by simulating a pre-fabricated wooden frame wall and found that the synthesized weather data based on Tdry bulb predicted the hydrastic conditions inside the wall very similar to the original RCM weather data and there is no considerable advantage in using the other two weather data groups.
Journal ArticleDOI
Assessing overheating of the UK existing dwellings – A case study of replica Victorian end terrace house
TL;DR: In this article, the authors investigate the likely thermal performance of a unique pre-1919 Victorian case study property by using both current and future projected weather data after a deep retrofit, and highlight the discrepancies in predicting overheating using the two UK climate impact programmes; inconsistencies of risk evaluation using different comfort criteria; and the differences between risk and severity of potential overheating.
References
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Numerical Recipes, The Art of Scientific Computing
Book
Numerical Recipes 3rd Edition: The Art of Scientific Computing
TL;DR: This new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded, and adopts an object-oriented style particularly suited to scientific applications.
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UK Climate Projections Science Report: Climate Change projections
James M. Murphy,David M. H. Sexton,Geoff Jenkins,Ben B. B. Booth,C.C. Brown,Robin T. Clark,Matthew Collins,Glen R. Harris,Elizabeth J. Kendon,Richard Betts,S. J. Brown,K.A. Humphrey,Mark McCarthy,Ruth E. McDonald,Ag Stephens,Craig Wallace,Rachel Warren,Robert L. Wilby,Richard Wood +18 more
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Constructing design weather data for future climates
TL;DR: In this article, the authors developed a method called morphing to produce design weather data for building thermal simulations that accounts for future changes to climate by combining present-day observed weather data with results from climate models.