2022
DOI: 10.1016/j.est.2021.103777
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The real-time dynamic multi-objective optimization of a building integrated photovoltaic thermal (BIPV/T) system enhanced by phase change materials

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Cited by 69 publications
(14 citation statements)
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“…The optimum thickness of PCM is found 77.2 mm. [111] The annual CO 2 reduction is enhanced by 17.69% compared to using air (base case).…”
Section: Not Mentionedmentioning
confidence: 98%
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“…The optimum thickness of PCM is found 77.2 mm. [111] The annual CO 2 reduction is enhanced by 17.69% compared to using air (base case).…”
Section: Not Mentionedmentioning
confidence: 98%
“…The simulation outcomes are pleasing and can be extended to other categories of panels where PCM can be positioned. Sohani et al [ 111 ] determined the optimal thickness of PCM using a multi‐objective optimization (MOO) technique that takes into account the performance of real‐time data throughout the year. By considering objective functions such as annual energy storage (AES), AEP, PBP, levelized cost of energy (LCOE), and annual carbon‐dioxide reduction (ACDR), a favorable situation was achieved.…”
Section: Pv/t Systems Integrated With Pcmsmentioning
confidence: 99%
“…Because the details of this procedure have been described previously (see Refs. [35] and [36]), only a brief overview is given here. The optimization is performed for the following parameters:…”
Section: Multi-objective Optimizationmentioning
confidence: 99%
“…The system components were optimized to minimize the levelized cost of energy (LCoE), battery life cycle loss (LCL), and loss of power supply probability (LPSP). Recent studies have also used real-time data to perform dynamic multi-objective optimization exercises in the energy field [34]. While many of the indicators and KPIs are the same (e.g., annual production and other economic indicators), the data used to perform the optimization is different.…”
Section: Overview Of Hybrid Renewable Power Plantsmentioning
confidence: 99%