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Thermo-economic analysis of air bottoming cycle hybridization using heliostat field collector: A comparative analysis

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  • Saghafifar, Mohammad
  • Gadalla, Mohamed

Abstract

Nowadays, climate change has become a vital issue prompting investigations for increasing the share of renewable energy employment in power generation industry. Solar energy is arguably the most favorable solution for a greener power generation technology. With the current level of maturity, solar energy contribution is limited due to intermittency and storage issues. A possible solution to the aforementioned difficulties is power plant hybridization. In this paper, thermo-economic optimization of a hybrid air bottoming cycle (ABC) power plant is accomplished with the objective of minimizing the levelized cost of electricity. The aforementioned hybrid ABC optimization results are compared with a hybrid conventional combined cycle power plant to identify the most cost effective combined cycle configuration for a 50 MWe hybrid power plant. Finally, an already existing ABC power plant hybridization is investigated utilizing payback period, life cycle saving, and levelized cost of electricity approaches.

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  • Saghafifar, Mohammad & Gadalla, Mohamed, 2016. "Thermo-economic analysis of air bottoming cycle hybridization using heliostat field collector: A comparative analysis," Energy, Elsevier, vol. 112(C), pages 698-714.
    • Handle: RePEc:eee:energy:v:112:y:2016:i:c:p:698-714
    DOI: 10.1016/j.energy.2016.06.113
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    Cited by:

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    6. Saghafifar, Mohammad & Gadalla, Mohamed, 2017. "Thermo-economic evaluation of water-injected air bottoming cycles hybridization using heliostat field collector: Comparative analyses," Energy, Elsevier, vol. 119(C), pages 1230-1246.
    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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