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Exergoeconomic estimates for a novel zero-emission process generating hydrogen and electric power

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  • Tsatsaronis, George
  • Kapanke, Kerstin
  • María Blanco Marigorta, Ana

Abstract

This paper presents the exergoeconomic analysis of a novel process generating electric energy and hydrogen. Coal and high-temperature heat are used as input energy to the process. The process is a true “zero-emission process” because (a) no NOX is formed during coal combustion with sulfuric acid, and (b) the combustion products CO2 and SO2 are removed separately as compressed liquids from the overall process. The process cycle is based on two chemical reactions. The first reaction takes place in an electrolytic cell and delivers the hydrogen product. In the second step, coal reacts with sulfuric acid in a high-pressure combustion reactor. The combustion gas is expanded in a gas turbine to produce electric power. The combustion products are compressed and separated so that almost pure CO2 can be removed from the cycle. The overall process is characterized by very high energetic and exergetic efficiencies. However, the overall process is very capital intensive. The electrolytic cell dominates the costs associated with the overall process. Detailed results of the thermodynamic simulation, the economic and the exergoeconomic analyses of the process including estimates of the product costs are presented.

Suggested Citation

  • Tsatsaronis, George & Kapanke, Kerstin & María Blanco Marigorta, Ana, 2008. "Exergoeconomic estimates for a novel zero-emission process generating hydrogen and electric power," Energy, Elsevier, vol. 33(2), pages 321-330.
  • Handle: RePEc:eee:energy:v:33:y:2008:i:2:p:321-330
    DOI: 10.1016/j.energy.2007.10.007
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    References listed on IDEAS

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    1. Lazzaretto, Andrea & Tsatsaronis, George, 2006. "SPECO: A systematic and general methodology for calculating efficiencies and costs in thermal systems," Energy, Elsevier, vol. 31(8), pages 1257-1289.
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    Cited by:

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    2. Stempien, Jan Pawel & Sun, Qiang & Chan, Siew Hwa, 2013. "Performance of power generation extension system based on solid-oxide electrolyzer cells under various design conditions," Energy, Elsevier, vol. 55(C), pages 647-657.
    3. Nasruddin, & Idrus Alhamid, M. & Daud, Yunus & Surachman, Arief & Sugiyono, Agus & Aditya, H.B. & Mahlia, T.M.I., 2016. "Potential of geothermal energy for electricity generation in Indonesia: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 733-740.
    4. Ligang Wang & Yongping Yang & Changqing Dong & Zhiping Yang & Gang Xu & Lingnan Wu, 2012. "Exergoeconomic Evaluation of a Modern Ultra-Supercritical Power Plant," Energies, MDPI, vol. 5(9), pages 1-17, September.
    5. Papadis, Elisa & Tsatsaronis, George, 2020. "Challenges in the decarbonization of the energy sector," Energy, Elsevier, vol. 205(C).
    6. Yue, Ting & Lior, Noam, 2017. "Exergo-economic competitiveness criteria for hybrid power cycles using multiple heat sources of different temperatures," Energy, Elsevier, vol. 135(C), pages 943-961.
    7. Silveira, Jose Luz & Lamas, Wendell de Queiroz & Tuna, Celso Eduardo & Villela, Iraides Aparecida de Castro & Miro, Laura Siso, 2012. "Ecological efficiency and thermoeconomic analysis of a cogeneration system at a hospital," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2894-2906.
    8. Yilmaz, Fatih & Selbaş, Reşat, 2017. "Thermodynamic performance assessment of solar based Sulfur-Iodine thermochemical cycle for hydrogen generation," Energy, Elsevier, vol. 140(P1), pages 520-529.
    9. Aghbashlo, Mortaza & Hosseinpour, Soleiman & Tabatabaei, Meisam & Younesi, Habibollah & Najafpour, Ghasem, 2016. "On the exergetic optimization of continuous photobiological hydrogen production using hybrid ANFIS–NSGA-II (adaptive neuro-fuzzy inference system–non-dominated sorting genetic algorithm-II)," Energy, Elsevier, vol. 96(C), pages 507-520.
    10. Wei, Zhiqiang & Zhang, Bingjian & Wu, Shengyuan & Chen, Qinglin & Tsatsaronis, George, 2012. "Energy-use analysis and evaluation of distillation systems through avoidable exergy destruction and investment costs," Energy, Elsevier, vol. 42(1), pages 424-433.
    11. Lamas, Wendell de Queiroz, 2013. "Fuzzy thermoeconomic optimisation applied to a small waste water treatment plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 214-219.
    12. Lamas, Wendell de Queiroz & Silveira, Jose Luz & Oscare Giacaglia, Giorgio Eugenio & Mattos dos Reis, Luiz Octavio, 2010. "Thermoeconomic analysis applied to an alternative wastewater treatment," Renewable Energy, Elsevier, vol. 35(10), pages 2288-2296.
    13. Kanoglu, Mehmet & Ayanoglu, Abdulkadir & Abusoglu, Aysegul, 2011. "Exergoeconomic assessment of a geothermal assisted high temperature steam electrolysis system," Energy, Elsevier, vol. 36(7), pages 4422-4433.
    14. de Souza, Sergio Alencar & Lamas, Wendell de Queiroz, 2014. "Thermoeconomic and ecological analysis applied to heating industrial process in chemical reactors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 96-107.
    15. Lee, Young Duk & Ahn, Kook Young & Morosuk, Tatiana & Tsatsaronis, George, 2018. "Exergetic and exergoeconomic evaluation of an SOFC-Engine hybrid power generation system," Energy, Elsevier, vol. 145(C), pages 810-822.
    16. Manassaldi, Juan I. & Mussati, Sergio F. & Scenna, Nicolás J., 2011. "Optimal synthesis and design of Heat Recovery Steam Generation (HRSG) via mathematical programming," Energy, Elsevier, vol. 36(1), pages 475-485.
    17. Tsatsaronis, George & Morosuk, Tatiana & Koch, Daniela & Sorgenfrei, Max, 2013. "Understanding the thermodynamic inefficiencies in combustion processes," Energy, Elsevier, vol. 62(C), pages 3-11.

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