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Thermo-economic optimization of hybrid solar Maisotsenko bottoming cycles using heliostat field collector: Comparative analysis

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  • Saghafifar, Mohammad
  • Gadalla, Mohamed

Abstract

Hybridization is a newly proposed concept in which solar thermal energy provides a portion of the required thermal input instead of fossil fuels and natural gases. Storage and intermittency concerns regarding solar energy make hybridization a viable solution to increase renewable energy share in power generation. Maisotsenko gas turbine cycle is a recently proposed humid air turbine cycle which can be implemented as a bottoming cycle to a topping gas turbine cycle as Maisotsenko bottoming cycle. In this paper, Maisotsenko bottoming cycle power plant hybridization is thoroughly investigated using heliostat field collector. First, a thermo-economic optimization is carried out for a hybrid Maisotsenko bottoming cycle power plant in the United Arab Emirates. Furthermore, the optimization results for Maisotsenko bottoming cycle are evaluated against the acquired results for hybrid air bottoming cycle and conventional combined cycle. Finally, different levels of hybridization are considered for an already existing non-hybrid Maisotsenko bottoming cycle power plant by applying different thermo-economic assessment methods. Comparative analyses indicate that Maisotsenko bottoming cycle is a more economical alternative for bottoming cycle implementation as compared with the other investigated configurations with optimum levelized cost of electricity of 75.330US$/MWh.

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  • Saghafifar, Mohammad & Gadalla, Mohamed, 2017. "Thermo-economic optimization of hybrid solar Maisotsenko bottoming cycles using heliostat field collector: Comparative analysis," Applied Energy, Elsevier, vol. 190(C), pages 686-702.
    • Handle: RePEc:eee:appene:v:190:y:2017:i:c:p:686-702
    DOI: 10.1016/j.apenergy.2016.12.165
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    2. Anvari, Simin & Khalilarya, Sharam & Zare, V., 2018. "Exergoeconomic and environmental analysis of a novel configuration of solar-biomass hybrid power generation system," Energy, Elsevier, vol. 165(PB), pages 776-789.
    3. Zhu, Guangya & Chow, T.T. & Fong, K.F. & Lee, C.K., 2019. "Comparative study on humidified gas turbine cycles with different air saturator designs," Applied Energy, Elsevier, vol. 254(C).
    4. Arrif, Toufik & Hassani, Samir & Guermoui, Mawloud & Sánchez-González, A. & A.Taylor, Robert & Belaid, Abdelfetah, 2022. "GA-GOA hybrid algorithm and comparative study of different metaheuristic population-based algorithms for solar tower heliostat field design," Renewable Energy, Elsevier, vol. 192(C), pages 745-758.
    5. Zhu, Guangya & Wen, Tao & Wang, Qunwei & Xu, Xiaoyu, 2022. "A review of dew-point evaporative cooling: Recent advances and future development," Applied Energy, Elsevier, vol. 312(C).
    6. Osat, Mohammad & Shojaati, Faryar & Osat, Mojtaba, 2023. "A solar-biomass system associated with CO2 capture, power generation and waste heat recovery for syngas production from rice straw and microalgae: Technological, energy, exergy, exergoeconomic and env," Applied Energy, Elsevier, vol. 340(C).
    7. Chao Li & Rongrong Zhai & Yongping Yang, 2017. "Optimization of a Heliostat Field Layout on Annual Basis Using a Hybrid Algorithm Combining Particle Swarm Optimization Algorithm and Genetic Algorithm," Energies, MDPI, vol. 10(11), pages 1-15, November.

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