Exergetic and economic analysis of a solar driven small scale ORC
The continuous increase in the energy demand and the reduction on fossil fuels reservoirs has shifted interest towards more “green” alternatives for decentralized power production. This study focuses on the design optimization and performance assessment of a small-scale, low-temperature solar driven...
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| Veröffentlicht in: | Renewable energy Jg. 157; S. 1008 - 1024 |
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| Hauptverfasser: | , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Ltd
01.09.2020
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| ISSN: | 0960-1481, 1879-0682 |
| Online-Zugang: | Volltext |
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| Abstract | The continuous increase in the energy demand and the reduction on fossil fuels reservoirs has shifted interest towards more “green” alternatives for decentralized power production. This study focuses on the design optimization and performance assessment of a small-scale, low-temperature solar driven ORC for application in South-East Mediterranean region under multiple scenarios including different working fluids, installation sites and solar collector types. For each scenario, a multi-objective genetic optimization algorithm is implemented to minimize the payback period and maximize the mean exergy efficiency considering annual operation. The optimization concluded that the correlation between the solar field area and the optimization parameters is more complicated and directly connected to the climatic conditions of each considered location. The maximum achieved exergy efficiency is about 6.2% for an ORC running with R245fa coupled with evacuated tube collectors in Istanbul. The minimum payback period was reported for the case of Larnaca, Cyprus, considering an ORC coupled with parabolic trough collectors and operating with R152. Finally, the annual net electricity production of the ORC was translated in primary energy savings. It was calculated that in all locations R152a achieved the highest savings for the maximum area of the solar field.
•Genetic algorithm optimization of solar driven small scale.•Investigation of different solar fields, locations and working fluids.•Multi-objective optimization with respect to exergy efficiency and payback period.•Maximum exergy efficiency of 6.28% achieved with ETCs in Istanbul using R245fa.•Minimum payback period of 11.9 years for PTCs in Larnaca using R152a. |
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| AbstractList | The continuous increase in the energy demand and the reduction on fossil fuels reservoirs has shifted interest towards more “green” alternatives for decentralized power production. This study focuses on the design optimization and performance assessment of a small-scale, low-temperature solar driven ORC for application in South-East Mediterranean region under multiple scenarios including different working fluids, installation sites and solar collector types. For each scenario, a multi-objective genetic optimization algorithm is implemented to minimize the payback period and maximize the mean exergy efficiency considering annual operation. The optimization concluded that the correlation between the solar field area and the optimization parameters is more complicated and directly connected to the climatic conditions of each considered location. The maximum achieved exergy efficiency is about 6.2% for an ORC running with R245fa coupled with evacuated tube collectors in Istanbul. The minimum payback period was reported for the case of Larnaca, Cyprus, considering an ORC coupled with parabolic trough collectors and operating with R152. Finally, the annual net electricity production of the ORC was translated in primary energy savings. It was calculated that in all locations R152a achieved the highest savings for the maximum area of the solar field. The continuous increase in the energy demand and the reduction on fossil fuels reservoirs has shifted interest towards more “green” alternatives for decentralized power production. This study focuses on the design optimization and performance assessment of a small-scale, low-temperature solar driven ORC for application in South-East Mediterranean region under multiple scenarios including different working fluids, installation sites and solar collector types. For each scenario, a multi-objective genetic optimization algorithm is implemented to minimize the payback period and maximize the mean exergy efficiency considering annual operation. The optimization concluded that the correlation between the solar field area and the optimization parameters is more complicated and directly connected to the climatic conditions of each considered location. The maximum achieved exergy efficiency is about 6.2% for an ORC running with R245fa coupled with evacuated tube collectors in Istanbul. The minimum payback period was reported for the case of Larnaca, Cyprus, considering an ORC coupled with parabolic trough collectors and operating with R152. Finally, the annual net electricity production of the ORC was translated in primary energy savings. It was calculated that in all locations R152a achieved the highest savings for the maximum area of the solar field. •Genetic algorithm optimization of solar driven small scale.•Investigation of different solar fields, locations and working fluids.•Multi-objective optimization with respect to exergy efficiency and payback period.•Maximum exergy efficiency of 6.28% achieved with ETCs in Istanbul using R245fa.•Minimum payback period of 11.9 years for PTCs in Larnaca using R152a. |
| Author | Braimakis, Konstantinos Roumpedakis, Tryfon C. Loumpardis, George Monokrousou, Evropi Charalampidis, Antonios Karellas, Sotirios |
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| Keywords | Solar collectors Organic rankine cycle Multi-objective algorithm Genetic algorithm |
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| Title | Exergetic and economic analysis of a solar driven small scale ORC |
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