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Optimization assessment of the energy performance of a BIPV/T-PCM system using Genetic Algorithms
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ABSTRACT: In this paper, a BIPV/T-PCM installed in an office building façade is investigated to approach the system efficiency optimization using Genetic Algorithm method. Based on an updated mathematical model,
theoretical simulation has been conducted for BIPV/T-PCM in this case for the existing system set-up
(geometry-air cavity width, ventilation, system layers). Furthermore, field testing for this case has also
been performed to validate the model, and then the simulated and experimental results are compared
and found in considerably good agreement. The overall energy efficiency of the system was evaluated for
winter and summer condition adopting different utilization strategies and optimization variables have been identified. The thermal and electric efficiencies were calculated based on the optimization variables and the results shown that the system can achieve a maximum overall efficiency of 64% with winter configuration and 32% with summer configuration.
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Zero Energy Buildings Building-integrated Photovoltaic Energy storage Phase change materials Thermal modeling Genetic Algorithms
Contexto Educativo
Citação
Pereira, R.; Aelenei, L. - Optimization assessment of the energy performance of a BIPV/T-PCM system using Genetic Algorithms. In: Renewable Energy, 2019, Vol. 137, p. 157-166