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Energy-efficient re...
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Feng, KailunUmeå universitet,Institutionen för tillämpad fysik och elektronik
(författare)
Energy-efficient retrofitting with incomplete building information : a data-driven approach
- Artikel/kapitelEngelska2022
Förlag, utgivningsår, omfång ...
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2022-08-31
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EDP Sciences,2022
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electronicrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:umu-204512
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https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-204512URI
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https://doi.org/10.1051/e3sconf/202235601003DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:kon swepub-publicationtype
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The high-performance insulations and energy-efficient HVAC have been widely employed as energy-efficient retrofitting for building renovation. Building performance simulation (BPS) based on physical models is a popular method to estimate expected energy savings for building retrofitting. However, many buildings, especially the older building constructed several decades ago, do not have full access to complete information for a BPS method. To address this challenge, this paper proposes a data-driven approach to support the decision-making of building retrofitting under incomplete information. The data-driven approach is constructed by integrating backpropagation neural networks (BRBNN), fuzzy C-means clustering (FCM), principal component analysis (PCA), and trimmed scores regression (TSR). It is motivated by the available big data sources from real-life building performance datasets to directly model the retrofitting performances without generally missing information, and simultaneously impute the case-specific incomplete information. This empirical study is conducted on real-life buildings in Sweden. The result indicates that the approach can model the performance ranges of energy-efficient retrofitting for family houses with more than 90% confidence. The developed approach provides a tool to predict the performance of individual buildings from different retrofitting measures, enabling supportive decision-making for building owners with inaccessible complete building information, to compare alternative retrofitting measures.
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Lu, Weizhuo,Professor,1974-Umeå universitet,Institutionen för tillämpad fysik och elektronik(Swepub:umu)welu0004
(författare)
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Penaka, Santhan ReddyUmeå universitet,Institutionen för tillämpad fysik och elektronik(Swepub:umu)sare0075
(författare)
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Eklund, ErikUmeå Municipality, Sweden
(författare)
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Andersson, Staffan,1952-Umeå universitet,Institutionen för tillämpad fysik och elektronik(Swepub:umu)stan0001
(författare)
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Olofsson, Thomas,1968-Umeå universitet,Institutionen för tillämpad fysik och elektronik(Swepub:umu)thol0001
(författare)
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Umeå universitetInstitutionen för tillämpad fysik och elektronik
(creator_code:org_t)
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Ingår i:E3S web of conferences: EDP Sciences
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