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Assessment of integrated gasification combined cycle technology competitiveness

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  • Christou, Costas
  • Hadjipaschalis, Ioannis
  • Poullikkas, Andreas

Abstract

In this work, a parametric cost-benefit analysis concerning the use of integrated gasification combined cycle (IGCC) technology (with and without carbon capture and storage) is carried out. For the analysis, the IPP optimization software is used in which the electricity unit cost from various power generation technologies is calculated. For comparison purposes, the Rankine cycle (with heavy fuel oil or coal as fuel) and the combined cycle (with natural gas or gasoil as fuel) technologies are also examined. The parametric study carried out, using a range of load factors from 50% to 90% and a range of efficiencies for IGCC technology between 40% and 55%, yields encouraging results for the viability of this emerging technology.

Suggested Citation

  • Christou, Costas & Hadjipaschalis, Ioannis & Poullikkas, Andreas, 2008. "Assessment of integrated gasification combined cycle technology competitiveness," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2459-2471, December.
    • Handle: RePEc:eee:rensus:v:12:y:2008:i:9:p:2459-2471
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    References listed on IDEAS

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    1. Poullikkas, Andreas, 2005. "An overview of current and future sustainable gas turbine technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(5), pages 409-443, October.
    2. Poullikkas, Andreas, 2001. "A Technology Selection Algorithm for Independent Power Producers," The Electricity Journal, Elsevier, vol. 14(6), pages 80-84, July.
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    Cited by:

    1. Pashchenko, Dmitry, 2024. "Ammonia fired gas turbines: Recent advances and future perspectives," Energy, Elsevier, vol. 290(C).
    2. Motta, Ingrid Lopes & Miranda, Nahieh Toscano & Maciel Filho, Rubens & Wolf Maciel, Maria Regina, 2018. "Biomass gasification in fluidized beds: A review of biomass moisture content and operating pressure effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 998-1023.
    3. Wang, Han & Chaffart, Donovan & Ricardez-Sandoval, Luis A., 2019. "Modelling and optimization of a pilot-scale entrained-flow gasifier using artificial neural networks," Energy, Elsevier, vol. 188(C).
    4. Liu, Qiang & Shi, Minjun & Jiang, Kejun, 2009. "New power generation technology options under the greenhouse gases mitigation scenario in China," Energy Policy, Elsevier, vol. 37(6), pages 2440-2449, June.
    5. Mei, Weiguang & Zhai, Rongrong & Zhao, Yingxin & Yao, Zhiqiang & Ma, Ning, 2024. "Exergoeconomic analysis and multi-objective optimization using NSGA-II in a novel dual-stage Selexol process of integrated gasification combined cycle," Energy, Elsevier, vol. 286(C).
    6. Tolis, Athanasios I. & Rentizelas, Athanasios A. & Tatsiopoulos, Ilias P., 2010. "Time-dependent opportunities in energy business: A comparative study of locally available renewable and conventional fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 384-393, January.
    7. Poullikkas, Andreas & Hadjipaschalis, Ioannis & Christou, Costas, 2009. "The cost of integration of zero emission power plants--A case study for the island of Cyprus," Energy Policy, Elsevier, vol. 37(2), pages 669-679, February.
    8. James, Olusola O. & Chowdhury, Biswajit & Auroux, Aline & Maity, Sudip, 2013. "Low CO2 selective iron based Fischer–Tropsch catalysts for coal based polygeneration," Applied Energy, Elsevier, vol. 107(C), pages 377-383.
    9. Mondal, Monoj Kumar & Balsora, Hemant Kumar & Varshney, Prachi, 2012. "Progress and trends in CO2 capture/separation technologies: A review," Energy, Elsevier, vol. 46(1), pages 431-441.

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