2021
DOI: 10.1016/j.clet.2021.100221
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Exergo-economic analysis and optimization of a combined solar collector with steam and Organic Rankine Cycle using particle swarm optimization (PSO) algorithm

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Cited by 13 publications
(3 citation statements)
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“…For example, a GA was used to find the optimal operating point of an evacuated tube solar collector system modeled with an ANN (Dikmen et al, 2014). PSO was used in multi-objective optimization based on a physical model to determine the best design and steady-state operating point ( (Awan et al, 2020), (Bahari et al, 2021)). In these studies, no dynamic behavior was considered and the optimization only needed to be conducted once.…”
Section: Optimization and Control Of Solar Thermal Plantsmentioning
confidence: 99%
“…For example, a GA was used to find the optimal operating point of an evacuated tube solar collector system modeled with an ANN (Dikmen et al, 2014). PSO was used in multi-objective optimization based on a physical model to determine the best design and steady-state operating point ( (Awan et al, 2020), (Bahari et al, 2021)). In these studies, no dynamic behavior was considered and the optimization only needed to be conducted once.…”
Section: Optimization and Control Of Solar Thermal Plantsmentioning
confidence: 99%
“…The application of PTC combined with a steam Rankine, an organic Rankine cycle with the capacity to store heat for operating when solar irradiance is not present, was analyzed by means of multi-objective optimization using the PSO algorithm with the addition of EES and MATLAB. The PSO algorithm selects the best designing variables, and the results showed that 59% of the total exergy destruction happens on the solar collector [8].…”
Section: Introductionmentioning
confidence: 99%
“…The configuration of the power generation systems is also an important aspect, such as a solar collector used to supply the heat for a two-stage steam turbine with inter heating and an Organic Rankine cycle, this system was simulated and optimized using the PSO algorithm with a combination of the EES and MATLAB. The PSO algorithm select the best designing variables, the results show that 59% of the total exergy destruction happens on the solar collector [3].…”
Section: Introductionmentioning
confidence: 99%