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
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The resilience of low carbon electricity provision to climate change impacts : the role of smart grids
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Measured Internal Temperatures in UK Homes – A Time Series Analysis And Modelling Approach☆
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Evaluative application of UKCP09‐based downscaled future weather years to simulate overheating risk in typical English homes
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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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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.