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A methodology of computation, design and optimization of solar Stirling power plant using hydrogen/oxygen fuel cells

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  • Petrescu, Stoian
  • Petre, Camelia
  • Costea, Monica
  • Malancioiu, Octavian
  • Boriaru, Nicolae
  • Dobrovicescu, Alexandru
  • Feidt, Michel
  • Harman, Charles

Abstract

The objective of this paper is to develop a methodology to determine how many houses could be fueled from the solar energy captured by a number of solar Stirling modules (with a fixed dish area per module) and also to determine the minimum necessary area of the fuel cell to ensure the amount of power needed to meet daily energy use requirements. The detailed method includes the effect of the fuel cell efficiency function on the power consumption of the user. Experimental data from our laboratory are used to determine the fuel cell efficiency as a function of the electric current density for a specific power demand. As an illustrative example, the analysis is applied to a residential area having a specific electrical demand. Using the developed method, the number of houses that could be fueled directly by the stored hydrogen is determined, and also the minim fuel cell area required.

Suggested Citation

  • Petrescu, Stoian & Petre, Camelia & Costea, Monica & Malancioiu, Octavian & Boriaru, Nicolae & Dobrovicescu, Alexandru & Feidt, Michel & Harman, Charles, 2010. "A methodology of computation, design and optimization of solar Stirling power plant using hydrogen/oxygen fuel cells," Energy, Elsevier, vol. 35(2), pages 729-739.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:2:p:729-739
    DOI: 10.1016/j.energy.2009.10.036
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    References listed on IDEAS

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    Cited by:

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    5. Ángel Encalada-Dávila & Samir Echeverría & Jordy Santana-Villamar & Gabriel Cedeño & Mayken Espinoza-Andaluz, 2021. "Optimization Algorithms: Optimal Parameters Computation for Modeling the Polarization Curves of a PEFC Considering the Effect of the Relative Humidity," Energies, MDPI, vol. 14(18), pages 1-21, September.
    6. Siva Reddy, V. & Kaushik, S.C. & Ranjan, K.R. & Tyagi, S.K., 2013. "State-of-the-art of solar thermal power plants—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 258-273.
    7. Cheng, Chin-Hsiang & Yang, Hang-Suin, 2011. "Analytical model for predicting the effect of operating speed on shaft power output of Stirling engines," Energy, Elsevier, vol. 36(10), pages 5899-5908.
    8. Patel, Vivek & Savsani, Vimal & Mudgal, Anurag, 2017. "Many-objective thermodynamic optimization of Stirling heat engine," Energy, Elsevier, vol. 125(C), pages 629-642.
    9. Li, Ruijie & Grosu, Lavinia & Li, Wei, 2017. "New polytropic model to predict the performance of beta and gamma type Stirling engine," Energy, Elsevier, vol. 128(C), pages 62-76.
    10. Azzouzi, Djelloul & Boumeddane, Boussad & Abene, Abderahmane, 2017. "Experimental and analytical thermal analysis of cylindrical cavity receiver for solar dish," Renewable Energy, Elsevier, vol. 106(C), pages 111-121.
    11. Ahmadi, Mohammad H. & Ahmadi, Mohammad-Ali & Pourfayaz, Fathollah, 2017. "Thermal models for analysis of performance of Stirling engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 168-184.
    12. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Pourfayaz, Fathollah & Hosseinzade, Hadi & Acıkkalp, Emin & Tlili, Iskander & Feidt, Michel, 2016. "Designing a powered combined Otto and Stirling cycle power plant through multi-objective optimization approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 585-595.
    13. Tlili, I. & Vakkar, Ali, 2020. "Thermodynamic analysis and optimization of solar thermal engine: Performance enhancement," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    14. Cheng, Chin-Hsiang & Yang, Hang-Suin, 2013. "Theoretical model for predicting thermodynamic behavior of thermal-lag Stirling engine," Energy, Elsevier, vol. 49(C), pages 218-228.
    15. Cheng, Chin-Hsiang & Yang, Hang-Suin, 2014. "Optimization of rhombic drive mechanism used in beta-type Stirling engine based on dimensionless analysis," Energy, Elsevier, vol. 64(C), pages 970-978.
    16. Patel, Vivek & Savsani, Vimal, 2016. "Multi-objective optimization of a Stirling heat engine using TS-TLBO (tutorial training and self learning inspired teaching-learning based optimization) algorithm," Energy, Elsevier, vol. 95(C), pages 528-541.
    17. Ahmadi, Mohammad H. & Hosseinzade, Hadi & Sayyaadi, Hoseyn & Mohammadi, Amir H. & Kimiaghalam, Farshad, 2013. "Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss," Renewable Energy, Elsevier, vol. 60(C), pages 313-322.
    18. Hesham Alhumade & Ahmed Fathy & Abdulrahim Al-Zahrani & Muhyaddin Jamal Rawa & Hegazy Rezk, 2021. "Optimal Parameter Estimation Methodology of Solid Oxide Fuel Cell Using Modern Optimization," Mathematics, MDPI, vol. 9(9), pages 1-19, May.

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