The present work is aimed at advising the update of Italian law by identifying cost-optimal levels of minimum energy performance requirements for buildings. The scope is to investigate the suitability of simplified methods, such as the one officially adopted by Italian regulations, to determine the cost-optimal levels of energy performance. To this purpose, for a residential building, a cost optimal analysis was performed through detailed dynamic simulation and the NSGA-II multi-objective optimization tool, as implemented in DesignBuilder software. The results, presented in terms of “cost-optimal packages of measures”, show that different optimization methods lead to identify different energy efficiency technologies as cost-optimal measures.

Dynamic simulation to identify cost-optimal energy requirements for the Italian building stock / Corrado, Vincenzo; Ballarini, Ilaria; De Luca, Giovanna; Primo, Elisa. - In: BUILDING SIMULATION CONFERENCE PROCEEDINGS. - ISSN 2522-2708. - ELETTRONICO. - (2020), pp. 3948-3954. (Intervento presentato al convegno Building Simulation 2019: 16th IBPSA Conference tenutosi a Rome (Italy) nel 2-4 September 2019) [10.26868/25222708.2019.210809].

Dynamic simulation to identify cost-optimal energy requirements for the Italian building stock

Corrado, Vincenzo;Ballarini,Ilaria;De Luca,Giovanna;Primo, Elisa
2020

Abstract

The present work is aimed at advising the update of Italian law by identifying cost-optimal levels of minimum energy performance requirements for buildings. The scope is to investigate the suitability of simplified methods, such as the one officially adopted by Italian regulations, to determine the cost-optimal levels of energy performance. To this purpose, for a residential building, a cost optimal analysis was performed through detailed dynamic simulation and the NSGA-II multi-objective optimization tool, as implemented in DesignBuilder software. The results, presented in terms of “cost-optimal packages of measures”, show that different optimization methods lead to identify different energy efficiency technologies as cost-optimal measures.
2020
978-1-7750520-1-2
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Descrizione: BS 2019 p. 3948-3954
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2808854