URI | http://purl.tuc.gr/dl/dias/640D8B73-3EBD-4B5B-9084-F976B38CACC0 | - |
Αναγνωριστικό | https://doi.org/10.1088/1755-1315/290/1/012129 | - |
Αναγνωριστικό | https://iopscience.iop.org/article/10.1088/1755-1315/290/1/012129 | - |
Γλώσσα | en | - |
Μέγεθος | 9 pages | en |
Τίτλος | OptEEmAL: decision-support tool for the design of energy retrofitting projects at district level | en |
Δημιουργός | García Fuentes, Miguel | en |
Δημιουργός | Hernández Gema | en |
Δημιουργός | Serna Víctor | en |
Δημιουργός | Martín Susana | en |
Δημιουργός | Álvarez Sonia | en |
Δημιουργός | Lilis Georgios-Nektarios | en |
Δημιουργός | Λιλης Γεωργιος-Νεκταριος | el |
Δημιουργός | Giannakis Georgios | en |
Δημιουργός | Γιαννακης Γεωργιος | el |
Δημιουργός | Katsigarakis Kyriakos | en |
Δημιουργός | Κατσιγαρακης Κυριακος | el |
Δημιουργός | Mabe Lara | en |
Δημιουργός | Oregi Xabat | en |
Δημιουργός | Manjarrés Diana | en |
Δημιουργός | Ridouane Hassan El | en |
Δημιουργός | De Tommasi Luciano | en |
Εκδότης | IOP Publishing | en |
Περίληψη | Designing 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 |
Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
Τύπος | Conference Full Paper | en |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2020-06-01 | - |
Ημερομηνία Δημοσίευσης | 2019 | - |
Θεματική Κατηγορία | OptEEmAL | en |
Θεματική Κατηγορία | Decision making | en |
Θεματική Κατηγορία | Decision-support tool | en |
Θεματική Κατηγορία | Energy Conservation Measures | en |
Βιβλιογραφική Αναφορά | M.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: 10.1088/1755-1315/290/1/012129 | en |