Multi-objective optimization of building retrofit in the Mediterranean climate by means of genetic algorithm application

•Active archive non-dominated sorting genetic algorithm aNSGA-II was tested.•Building retrofit is considered by means of multi-objective optimization.•A case study building was modelled and simulated via EnergyPlus and Python.•Optimal solutions for the retrofit of a Mediterranean building were ident...

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Veröffentlicht in:	Energy and buildings Jg. 216; S. 109945
Hauptverfasser:	Rosso, Federica, Ciancio, Virgilio, Dell'Olmo, Jacopo, Salata, Ferdinando
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Lausanne Elsevier B.V 01.06.2020 Elsevier BV
Schlagworte:	Algorithms aNSGA-II Building energy optimization Building energy retrofit Building performance optimization Carbon dioxide Carbon dioxide emissions Computer applications Computing time Cost control Dynamic simulation Energy conservation Energy costs Energy demand Energy performance EnergyPlus Genetic algorithm Genetic algorithms Investment Mediterranean climate Multi-objective optimization Multiple objective analysis Pareto optimization Residential areas Residential buildings Residential location Retrofitting Sorting algorithms EnergyPlus Building energy optimization Building energy retrofit Genetic algorithm Dynamic simulation Multi-objective optimization Energy performance aNSGA-II Building performance optimization Mediterranean climate
ISSN:	0378-7788, 1872-6178
Online-Zugang:	Volltext
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