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A multi-scenario approach for a robust design of solar-based ORC systems

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  • Petrollese, Mario
  • Cocco, Daniele

Abstract

The application of Organic Rankine cycle (ORC) units in concentrating solar power systems is a very promising solution. However, fluctuations in the available solar energy often force solar-based ORC systems to operate at off-design conditions. An innovative methodology for finding robust design solutions of such ORC systems, based on the minimization of the expected Levelized Cost of Energy (LCOE), is therefore proposed. The expected variations in the ORC heat source and heat sink are considered during the design stage by adopting a multi-scenario approach. The proposed methodology has been tested by referring to a medium-scale ORC unit and by considering different working fluids. As case studies, the direct coupling of the ORC unit with a solar field and the integration of a thermal energy storage system have been investigated. The comparison of the results obtained by using a multi-scenario and a single-scenario approach highlights a reduction of the actual LCOE. The ORC configuration obtained by adopting a multi-scenario approach is characterized by lower performance under design conditions, but it is less sensitive to variations in the main inputs during off-design operating periods. This fact is particularly noteworthy for the case with the direct coupling of the solar field.

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  • Petrollese, Mario & Cocco, Daniele, 2020. "A multi-scenario approach for a robust design of solar-based ORC systems," Renewable Energy, Elsevier, vol. 161(C), pages 1184-1194.
  • Handle: RePEc:eee:renene:v:161:y:2020:i:c:p:1184-1194
    DOI: 10.1016/j.renene.2020.07.120
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    References listed on IDEAS

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    5. Hu, Shuozhuo & Yang, Zhen & Li, Jian & Duan, Yuanyuan, 2022. "Optimal solar thermal retrofit for geothermal power systems considering the lifetime brine degradation," Renewable Energy, Elsevier, vol. 186(C), pages 628-645.
    6. Witanowski, Łukasz & Klonowicz, Piotr & Lampart, Piotr & Ziółkowski, Paweł, 2023. "Multi-objective optimization of the ORC axial turbine for a waste heat recovery system working in two modes: cogeneration and condensation," Energy, Elsevier, vol. 264(C).

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