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.
|Title of host publication||BSO 2012 Proceedings|
|Number of pages||8|
|Publication status||Published - 10 Sep 2012|
|Event||1st Building Simulation and Optimization Conference 2012 - Loughborough University, Loughborough, United Kingdom|
Duration: 10 Sep 2012 → 11 Sep 2012
|Conference||1st Building Simulation and Optimization Conference 2012|
|Period||10/09/12 → 11/09/12|
Patidar, S., Jenkins, D. P., Gibson, G. J., & Banfill, P. F. G. (2012). Correlating Probabilistic Climate Projections With Cooling Demand in an Office Building. In BSO 2012 Proceedings (pp. 261-268). IBPSA.