2020
DOI: 10.1016/j.renene.2020.05.016
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Exergetic and economic analysis of a solar driven small scale ORC

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Cited by 67 publications
(21 citation statements)
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“…The correlations derived from the study by Ziviani et al [54] are used for the estimation of their efficiencies. More details on these equations are listed in a previous study conducted by the authors [55].…”
Section: Pumpmentioning
confidence: 99%
“…The correlations derived from the study by Ziviani et al [54] are used for the estimation of their efficiencies. More details on these equations are listed in a previous study conducted by the authors [55].…”
Section: Pumpmentioning
confidence: 99%
“…At present, low-medium temperature solar plants in real applications are often based on a Rankine cycle in combination with organic fluids to ensure high specific energy during the expansion phase even at reduced pressure levels. [4][5][6] However, such a solution also involves heat transfer between two fluids which can entail an exergetic destruction of the accessible thermal power. Moreover, solar thermal power plants based on organic Rankine cycles (ORCs) are also penalized by both poor thermodynamic performance at high temperatures and several problems concerning thermal instability, toxicity, and flammability of organic fluids.…”
Section: Introductionmentioning
confidence: 99%
“…The analyzed configurations are classified into sequential (cascaded PTC field, ORC, cooling, and heating cycles) and parallel (ORC, cooling, and heating cycles supplied by the PTC field), and the results demonstrate that the sequential configuration is more compact and presents better thermodynamic and economic performances. Roumpedakis et al [44] proposed a design optimization and performance assessment of small-scale solar-driven ORC plants in the southeast Mediterranean region (Cyprus, Greece, and Turkey), considering, in addition, different working fluids and solar thermal collectors (flat plate, evacuated tube, and PTC). A multi-objective optimization was developed using a genetic algorithm to maximize exergy efficiency and minimize the payback period.…”
Section: Introductionmentioning
confidence: 99%