A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Existing buildings retrofit through multiobjective optimization: a case-study
In the light of the regulations on buildings energy performance, the designers face the need to choose among alternative design solutions, having to assess their effectiveness according to several -sometimes conflicting- points of view, such as the energy saving, the indoor comfort, the environmental and economic impact. This paper reports the results of the application of genetic algorithms to solve this “multi-objective optimization problem” in a building retrofit intervention in Italy. The results, even if related to a single case-study, suggest the optimal efficiency measures, whose robustness was tested in different Italian climatic zones.
Existing buildings retrofit through multiobjective optimization: a case-study
In the light of the regulations on buildings energy performance, the designers face the need to choose among alternative design solutions, having to assess their effectiveness according to several -sometimes conflicting- points of view, such as the energy saving, the indoor comfort, the environmental and economic impact. This paper reports the results of the application of genetic algorithms to solve this “multi-objective optimization problem” in a building retrofit intervention in Italy. The results, even if related to a single case-study, suggest the optimal efficiency measures, whose robustness was tested in different Italian climatic zones.
Existing buildings retrofit through multiobjective optimization: a case-study
Elisa Di Giuseppe (author) / Gabriele Galdenzi (author) / Marco D'Orazio (author) / Costanzo Di Perna (author)
2018
Article (Journal)
Electronic Resource
Unknown
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