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Assessing uncertainty in housing stock infiltration rates andassociated heat loss: English and UK case studies

Jones, Benjamin; Das, Payel; Chalabi, Zaid; Davies, Michael; Hamilton, Ian; Lowe, Robert; Mavrogianni, Anna; Robinson, Darren; Taylor, Jonathon

Authors

Payel Das

Zaid Chalabi

Michael Davies

Ian Hamilton

Robert Lowe

Anna Mavrogianni

Darren Robinson

Jonathon Taylor



Abstract

Strategies to reduce domestic heating loads by minimizing the infiltration of cold air through adventitious openings located in the thermal envelopes of houses are highlighted by the building codes of many countries. Consequent reductions of energy demand and CO2e emission are often unquantified by empirical evidence. Instead, a mean heating season infiltration rate is commonly inferred from an air leakage rate using a simple ratio scaled to account for the physical and environmental properties of a dwelling. The scaling does not take account of the permeability of party walls in conjoined dwellings and so cannot differentiate between the infiltration of unconditioned ambient air that requires heating, and conditioned air from adjacent dwellings that does not.

A stochastic method is presented that applies a theoretical model of adventitious infiltration to predict distributions of mean infiltration rates and the associated total heat loss in any stock of dwellings during heating hours. The method is applied to the English and UK housing stocks and provides probability distribution functions of stock infiltration rates and total heat loss during the heating season for two extremes of party wall permeability. The distributions predict that up to 79% of the current English stock could require additional purpose-provided ventilation to limit negative health consequences. National models predict that fewer dwellings are under-ventilated. The distributions are also used to predict that infiltration is responsible for 3–5% of total UK energy demand, 11–15% of UK housing stock energy demand, and 10–14% of UK housing stock carbon emissions.

Citation

Jones, B., Das, P., Chalabi, Z., Davies, M., Hamilton, I., Lowe, R., …Taylor, J. (2015). Assessing uncertainty in housing stock infiltration rates andassociated heat loss: English and UK case studies. Building and Environment, 92, 644-656. https://doi.org/10.1016/j.buildenv.2015.05.033

Journal Article Type Article
Acceptance Date May 11, 2015
Online Publication Date May 28, 2015
Publication Date Oct 1, 2015
Deposit Date Sep 4, 2018
Print ISSN 0360-1323
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 92
Pages 644-656
DOI https://doi.org/10.1016/j.buildenv.2015.05.033
Public URL http://www.scopus.com/inward/record.url?eid=2-s2.0-84934989246&partnerID=40&md5=f8fbaf586a786d1607919e266d2fc224
Publisher URL https://www.sciencedirect.com/science/article/pii/S0360132315002541?via%3Dihub