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ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
ON THE IMPROVEMENT OF WHOLE-BUILDING PERFORMANCE SIMULATIONS THROUGH MULTI-OBJECTIVE OPTIMIZATION
Submission Author:
Cassiana Fagundes da Silva , PR
Co-Authors:
Cassiana Fagundes da Silva, Lucas Camilotti, Roberto Zanetti Freire
Presenter: Lucas Camilotti
doi://10.26678/ABCM.ENCIT2020.CIT20-0691
Abstract
Building energy consumption has become a source of discussion and research. Research have been proposed to improve the usage of energy resources and provide better indoor air quality and thermal comfort for the occupants considering indoor environments. In this context, the development of computer programs capable of simulating the thermal and energetic performance of buildings has been evolving, providing engineers and architects with new approaches to try to reduce energy consumption and improve occupant satisfaction with the internal climatic conditions of an environment. The objective of this work is to present the integration of metaheuristic techniques for multi-objective optimization to the Domus building thermoenergetic simulation program, in addition to evaluating the relevant variables about improving the thermoenergetic performance of environments. For this, two environments were tested, the first being a test case based on BESTest, initially proposed by the International Energy Agency, and the second based on a real building, located in the city of Curitiba /PR. The results present show that the NSGA-II algorithm was better than the other algorithms tested using the adopted performance criteria. In the real case study, the NSGA-II algorithm showed good results, but the execution time was longer than that obtained in the test case.
Keywords
Building Simulation, energy savings, DOMUS, thermal comfort
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