Journal
RENEWABLE ENERGY
Volume 137, Issue -, Pages 157-166Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2018.06.118
Keywords
Building integrated photovoltaic/thermal; Energy storage; Phase-change material; Thermal modelling; Genetic Algorithm
Funding
- FEDER [PTDC/AURAQI-AQI/117782/2010]
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In this paper, a BIPV/T-PCM installed in an office building facade 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. (C) 2018 Elsevier Ltd. All rights reserved.
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