The present work aims to analyse the application of a metaheuristic optimization approach to the design process of external shading devices and to assess the obtainable energy and comfort performances; in detail, a full search optimization and a nature-inspired metaheuristic search have been compared to a traditional design approach. Subsequently, the analysis has been extended to the optimization of glazing properties in order to estimate the advantage in terms of simulation time for such process when the number of variables increases. Further considerations on the possibility to improve the optimization by acting on the Particle Swarm Optimization (PSO) parameters are also included in the study, providing a possible mutation of the traditional swarm movement. Developed methods have been applied to a real case-study office building.
Metaheuristic Optimization of External Shading Devices and Glazing Properties for Energy Saving and Indoor Environmental Comfort in Office Rooms
Lorenzo De Donatis;Claudio Del Pero;Fabrizio Leonforte
2020-01-01
Abstract
The present work aims to analyse the application of a metaheuristic optimization approach to the design process of external shading devices and to assess the obtainable energy and comfort performances; in detail, a full search optimization and a nature-inspired metaheuristic search have been compared to a traditional design approach. Subsequently, the analysis has been extended to the optimization of glazing properties in order to estimate the advantage in terms of simulation time for such process when the number of variables increases. Further considerations on the possibility to improve the optimization by acting on the Particle Swarm Optimization (PSO) parameters are also included in the study, providing a possible mutation of the traditional swarm movement. Developed methods have been applied to a real case-study office building.File | Dimensione | Formato | |
---|---|---|---|
BS2019_ResearchPaper.pdf
accesso aperto
:
Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione
441.54 kB
Formato
Adobe PDF
|
441.54 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.