CUED Publications database

Towards probabilistic performance metrics for climate change impact studies

De Wilde, P and Tian, W (2011) Towards probabilistic performance metrics for climate change impact studies. Energy and Buildings, 43. pp. 3013-3018. ISSN 0378-7788

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Abstract

This paper explores the current state-of-the-art in performance indicators and use of probabilistic approaches used in climate change impact studies. It presents a critical review of recent publications in this field, focussing on (1) metrics for energy use for heating and cooling, emissions, overheating and high-level performance aspects, and (2) uptake of uncertainty and risk analysis. This is followed by a case study, which is used to explore some of the contextual issues around the broader uptake of climate change impact studies in practice. The work concludes that probabilistic predictions of the impact of climate change are feasible, but only based on strict and explicitly stated assumptions. © 2011 Elsevier B.V. All rights reserved.

Item Type: Article
Uncontrolled Keywords: Climate change Performance indicators Prediction Uncertainty
Subjects: UNSPECIFIED
Divisions: Div D > Structures
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 11:30
Last Modified: 08 Dec 2014 02:35
DOI: 10.1016/j.enbuild.2011.07.014