Evaluation of the new Design Summer Year weather data using parametrical buildings

Ji, Y ORCID: https://orcid.org/0000-0003-3003-5071, Korolija, I and Zhang, Y 2017, Evaluation of the new Design Summer Year weather data using parametrical buildings , in: International Research Conference 2017: Shaping Tomorrow’s Built Environment Conference Proceedings, 11-12 September 2017, Salford Quays, UK.

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Abstract

The Charted Institution of Building Services Engineers (CIBSE) updated the near extreme weather (Design Summer Year – DSY) for all 14 locations in the UK in 2016. This new release attempts to address the underlying shortcomings of the previous definition where the averaged dry bulb temperature was the sole metric to choose DSY among source weather years. The aim of this research is to evaluate whether the new definition of the probabilistic DSYs can consistently represent near extreme condition. London historical weather data and their correspondent DSYs were used in this research. Dynamic thermal modelling using EnergyPlus was carried out on large number single zone offices (parametric study) which represent a large portion of cellular offices in the UK. The predicted indoor warmth from the sample building models show that these new definitions are not always able to represent near extreme conditions. Using multiple years as DSY is able to capture different types of summer warmth but how to use one or all of these DSYs to make informed judgement on overheating is rather challenging. The recommended practice from this research is to use more warm years for the evaluation of overheating and choose the near extreme weather from the predicted indoor warmth

Item Type:	Conference or Workshop Item (Paper)
Schools:	Schools > School of the Built Environment
Journal or Publication Title:	International Research Conference 2017 : Shaping Tomorrow’s Built Environment Conference Proceedings
Publisher:	University of Salford
Related URLs:	Organisation Publication
Depositing User:	Dr Yingchun Ji
Date Deposited:	26 Jun 2018 10:16
Last Modified:	16 Feb 2022 18:49
URI:	http://usir.salford.ac.uk/id/eprint/47479

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