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OptEEmAL: decision-support tool for the design of energy retrofitting projects at district level

García Fuentes, Miguel, Hernández Gema, Serna Víctor, Martín Susana, Álvarez Sonia, Lilis Georgios-Nektarios, Giannakis Georgios, Katsigarakis Kyriakos, Mabe Lara, Oregi Xabat, Manjarrés Diana, Ridouane Hassan El, De Tommasi Luciano

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URIhttp://purl.tuc.gr/dl/dias/640D8B73-3EBD-4B5B-9084-F976B38CACC0-
Identifierhttps://doi.org/10.1088/1755-1315/290/1/012129-
Identifierhttps://iopscience.iop.org/article/10.1088/1755-1315/290/1/012129-
Languageen-
Extent9 pagesen
TitleOptEEmAL: decision-support tool for the design of energy retrofitting projects at district levelen
CreatorGarcía Fuentes, Miguelen
CreatorHernández Gemaen
CreatorSerna Víctoren
CreatorMartín Susanaen
CreatorÁlvarez Soniaen
CreatorLilis Georgios-Nektariosen
CreatorΛιλης Γεωργιος-Νεκταριοςel
CreatorGiannakis Georgiosen
CreatorΓιαννακης Γεωργιοςel
CreatorKatsigarakis Kyriakosen
CreatorΚατσιγαρακης Κυριακοςel
CreatorMabe Laraen
CreatorOregi Xabaten
CreatorManjarrés Dianaen
CreatorRidouane Hassan Elen
CreatorDe Tommasi Lucianoen
PublisherIOP Publishingen
Content SummaryDesigning energy retrofitting actions poses an elevated number of problems, as the definition of the baseline, selection of indicators to measure performance, modelling, setting objectives, etc. This is time-consuming and it can result in a number of inaccuracies, leading to inadequate decisions. While these problems are present at building level, they are multiplied at district level, where there are complex interactions to analyse, simulate and improve. OptEEmAL proposes a solution as a decision-support tool for the design of energy retrofitting projects at district level. Based on specific input data (IFC(s), CityGML, etc.), the platform will automatically simulate the baseline scenario and launch an optimisation process where a series of Energy Conservation Measures (ECMs) will be applied to this scenario. Its performance will be evaluated through a holistic set of indicators to obtain the best combination of ECMs that complies with user's objectives. A great reduction in time and higher accuracy in the models are experienced, since they are automatically created and checked. A subjective problem is transformed into a mathematical problem; it simplifies it and ensures a more robust decision-making. This paper will present a case where the platform has been tested.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2020-06-01-
Date of Publication2019-
SubjectOptEEmALen
SubjectDecision makingen
SubjectDecision-support toolen
SubjectEnergy Conservation Measuresen
Bibliographic CitationM.A. Garciá-Fuentes, G. Hernández, V. Serna, S. Martín, S. Álvarez, G.N. Lilis, G. Giannakis, K. Katsigarakis, L. Mabe, X. Oregi, D. Manjarres, H.E. Ridouane and L. De Tommasi, "OptEEmAL: decision-support tool for the design of energy retrofitting projects at district level," in Central Europe towards Sustainable Building, 2019. doi: 10.1088/1755-1315/290/1/012129en

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