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
Hauptverfasser: Roumpedakis, Tryfon C., Loumpardis, George, Monokrousou, Evropi, Braimakis, Konstantinos, Charalampidis, Antonios, Karellas, Sotirios
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.09.2020
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ISSN:0960-1481, 1879-0682
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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.
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
Author_xml – sequence: 1
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  surname: Roumpedakis
  fullname: Roumpedakis, Tryfon C.
  email: troumpedak@central.ntua.gr
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  givenname: George
  surname: Loumpardis
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  givenname: Evropi
  surname: Monokrousou
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  givenname: Konstantinos
  surname: Braimakis
  fullname: Braimakis, Konstantinos
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  givenname: Antonios
  surname: Charalampidis
  fullname: Charalampidis, Antonios
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  givenname: Sotirios
  surname: Karellas
  fullname: Karellas, Sotirios
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Keywords Solar collectors
Organic rankine cycle
Multi-objective algorithm
Genetic algorithm
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Snippet The continuous increase in the energy demand and the reduction on fossil fuels reservoirs has shifted interest towards more “green” alternatives for...
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SubjectTerms algorithms
climatic factors
collectors
Cyprus
economic analysis
electricity generation
energy conservation
exergy
Genetic algorithm
Mediterranean region
Multi-objective algorithm
Organic rankine cycle
power generation
primary energy
Solar collectors
solar energy
Turkey (country)
Title Exergetic and economic analysis of a solar driven small scale ORC
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Volume 157
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