MATEC Web Conf.
Volume 282, 20194th Central European Symposium on Building Physics (CESBP 2019)
|Number of page(s)||8|
|Published online||06 September 2019|
Overheating risk and cooling demand in residential buildings: performance prediction and improvement using a prescriptive approach
Department of Building Physics and Building Ecology, TU Wien, Vienna, Austria
Depending on general climatic trends and specific (urban) microclimatic conditions, the reliable estimation of the overheating risk in buildings has become increasingly important. As such, detailed simulation of the related phenomena can provide useful information. However, deployment of detailed simulation involves a number of challenges, including time and effort expenditures not accounted for in typical building delivery processes. In this context, careful application of prescriptive methods may provide – at least for a specific class of applications – a reasonable alternative. The present contribution explores this possibility via a specific case study involving a large sample of residential buildings in Gaza, Palestine. This sample includes some fifty multi-unit apartment buildings representing the bulk of residential building stock in Gaza. These buildings were assessed via both numeric simulation and regression-based methods, assuming the latter can provide the basis for development and validation of a prescriptive approach. Toward this end, a number of independent variables were considered and the level of their association with the computed values of the designated building performance indicators was observed. Comparison of the regression-based and simulation-based methods revealed a reasonable level of agreement. This suggests that the proposed prescriptive method may provide an attractive alternative to highly detailed simulation.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.