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

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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.

In: Building and Environment, Vol. 92, 01.10.2015, p. 644-656.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

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

APA

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

Vancouver

Jones B, Das P, Chalabi Z, Davies M, Hamilton I, Lowe R et al. Assessing uncertainty in housing stock infiltration rates andassociated heat loss: English and UK case studies. Building and Environment. 2015 Oct 1;92:644-656. https://doi.org/10.1016/j.buildenv.2015.05.033

Author

Jones, Benjamin ; Das, Payel ; Chalabi, Zaid ; Davies, Michael ; Hamilton, Ian ; Lowe, Robert ; Mavrogianni, Anna ; Robinson, Darren ; Taylor, Jonathon. / Assessing uncertainty in housing stock infiltration rates andassociated heat loss : English and UK case studies. In: Building and Environment. 2015 ; Vol. 92. pp. 644-656.

Bibtex - Download

@article{53f95d1e97d849e6834bf6d41d6260f4,
title = "Assessing uncertainty in housing stock infiltration rates andassociated heat loss: English and UK case studies",
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.",
keywords = "DOMVENT, Leakage, Model, Monte Carlo, Permeability, Ventilation",
author = "Benjamin Jones and Payel Das and Zaid Chalabi and Michael Davies and Ian Hamilton and Robert Lowe and Anna Mavrogianni and Darren Robinson and Jonathon Taylor",
year = "2015",
month = "10",
day = "1",
doi = "10.1016/j.buildenv.2015.05.033",
language = "English",
volume = "92",
pages = "644--656",
journal = "Building and Environment",
issn = "0360-1323",
publisher = "PERGAMON-ELSEVIER SCIENCE LTD",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Assessing uncertainty in housing stock infiltration rates andassociated heat loss

T2 - English and UK case studies

AU - Jones, Benjamin

AU - Das, Payel

AU - Chalabi, Zaid

AU - Davies, Michael

AU - Hamilton, Ian

AU - Lowe, Robert

AU - Mavrogianni, Anna

AU - Robinson, Darren

AU - Taylor, Jonathon

PY - 2015/10/1

Y1 - 2015/10/1

N2 - 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.

AB - 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.

KW - DOMVENT

KW - Leakage

KW - Model

KW - Monte Carlo

KW - Permeability

KW - Ventilation

UR - http://www.scopus.com/inward/record.url?scp=84934989246&partnerID=8YFLogxK

U2 - 10.1016/j.buildenv.2015.05.033

DO - 10.1016/j.buildenv.2015.05.033

M3 - Article

VL - 92

SP - 644

EP - 656

JO - Building and Environment

JF - Building and Environment

SN - 0360-1323

ER -