Thermal comfort prediction in a building category: Artificial neural network generation from calibrated models for a social housing stock in southern Europe
Sign Up to like & getrecommendations! Published in 2019 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2019.01.013
Abstract: Abstract A significant part of the housing stock in southern Europe is obsolete and in need of extensive retrofitting to improve its energy performance and thermal comfort. However, before adequate retrofit measures can be proposed… read more here.
Keywords: building category; housing stock; housing; thermal comfort ... See more keywords
A review and critique of UK housing stock energy models, modelling approaches and data sources
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DOI: 10.1016/j.enbuild.2017.06.043
Abstract: Abstract The UK housing stock is responsible for some 27% of national energy demand and associated carbon dioxide emissions. 80% of this energy demand is due to heating (60%) and domestic hot water (20%), the… read more here.
Keywords: stock energy; energy models; housing; housing stock ... See more keywords
Evaluation of housing stock indoor air quality models: A review of data requirements and model performance
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DOI: 10.1016/j.jobe.2021.102846
Abstract: Abstract To develop and evaluate housing strategies and interventions for improving indoor air quality (IAQ) at a city or national scale, housing stock IAQ models are required. Without such models, reliable prediction of residential indoor… read more here.
Keywords: model; housing stock; stock iaq; housing ... See more keywords
The use of GIS tools for sustainable management of municipal housing stock in Poland
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DOI: 10.1080/00396265.2018.1474694
Abstract: The management of social housing stock by balancing the housing needs of local communities plays a crucial role in the sustainable development of urban municipalities. In the present study, the management of municipal housing stock… read more here.
Keywords: management; housing; housing stock; municipal housing ... See more keywords