De Wilde, P and Tian, W (2011) Towards probabilistic performance metrics for climate change impact studies. Energy and Buildings, 43. pp. 3013-3018. ISSN 0378-7788Full text not available from this repository.
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.
|Uncontrolled Keywords:||Climate change Performance indicators Prediction Uncertainty|
|Divisions:||Div D > Structures|
|Depositing User:||Cron job|
|Date Deposited:||16 Jul 2015 13:20|
|Last Modified:||28 Nov 2015 12:14|