Correlating Probabilistic Climate Projections With Cooling Demand in an Office Building

Sandhya Patidar, David P Jenkins, Gavin Jarvis Gibson, Phillip Frank Gower Banfill

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Given thousands of probabilistic climate projections available through UK Climate Projections (UKCP09), currently it is difficult to quantify the effect of climate change on the energy demand and operation of a building by means of dynamic building software packages such as ESP-r. This study offers a practically efficient technique to correlate these probabilistic climate projections with hourly cooling-demand profiles for a case study – a mechanically cooled office building. A regression model has been developed and validated to examine, possibility of the cooling plant failing and influence of two simple adaptation techniques in the given building with projected future climate change.
Original languageEnglish
Title of host publicationBSO 2012 Proceedings
PublisherIBPSA
Pages261-268
Number of pages8
Publication statusPublished - 10 Sep 2012
Event1st Building Simulation and Optimization Conference 2012 - Loughborough University, Loughborough, United Kingdom
Duration: 10 Sep 201211 Sep 2012

Conference

Conference1st Building Simulation and Optimization Conference 2012
CountryUnited Kingdom
CityLoughborough
Period10/09/1211/09/12

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