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Performance evaluation and carbon assessment of IGCC power plant with coal quality

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  • Oh, Hyun-Taek
  • Lee, Woo-Sung
  • Ju, Youngsan
  • Lee, Chang-Ha

Abstract

Techno-economic and environmental impacts of coal type were evaluated using a 500 MW-class integrated coal gasification combined cycle(IGCC), including reheat combined cycle process with three-pressure level based on higher than 99.9% sulfur removal and 90% carbon capture. Efficiency and cost of electricity(COE) of four different coals in the IGCC power plant were compared: two bituminous and two sub-bituminous coals. As coal with higher heating value per unit weight was fed into a gasifier, higher cold gas efficiency of the gasifier and greater net overall plant efficiency was achieved. The highest overall plant efficiency of 31.62% could be achieved by using bituminous. Raw water consumption was also affected by the moisture content of the as-received coal. The as-received coal with the highest moisture content consumed the least amount of water. The exergy flow and destruction were presented in Grassmann diagrams to provide more detailed information on main units. However, according to the sensitivity test, the COE was mainly influenced by fuel prices and costs of CO2 transport and storage. If the price difference between bituminous coals and sub-bituminous coals is reduced, the utilization of bituminous coals becomes more competitive in terms of COE and capital cost.

Suggested Citation

  • Oh, Hyun-Taek & Lee, Woo-Sung & Ju, Youngsan & Lee, Chang-Ha, 2019. "Performance evaluation and carbon assessment of IGCC power plant with coal quality," Energy, Elsevier, vol. 188(C).
    • Handle: RePEc:eee:energy:v:188:y:2019:i:c:s036054421931758x
    DOI: 10.1016/j.energy.2019.116063
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    References listed on IDEAS

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    2. Usama Ahmed & Muhammad Arsalan Hussain & Muhammad Bilal & Hassan Zeb & Umer Zahid & Sagheer A. Onaizi & Abdul Gani Abdul Jameel, 2021. "Utilization of Low-Rank Coals for Producing Syngas to Meet the Future Energy Needs: Technical and Economic Analysis," Sustainability, MDPI, vol. 13(19), pages 1-15, September.
    3. Xu, Qilong & Wang, Shuai & Luo, Kun & Mu, Yanfei & Pan, Lu & Fan, Jianren, 2023. "Process modelling and optimization of a 250 MW IGCC system: ASU optimization and thermodynamic analysis," Energy, Elsevier, vol. 282(C).
    4. Vo, Nguyen Dat & Oh, Dong Hoon & Kang, Jun-Ho & Oh, Min & Lee, Chang-Ha, 2020. "Dynamic-model-based artificial neural network for H2 recovery and CO2 capture from hydrogen tail gas," Applied Energy, Elsevier, vol. 273(C).
    5. Yin, Junjie & Liu, Ming & Zhao, Yongliang & Wang, Chaoyang & Yan, Junjie, 2021. "Dynamic performance and control strategy modification for coal-fired power unit under coal quality variation," Energy, Elsevier, vol. 223(C).
    6. Kim, Jinsu & Kim, Jungil & Oh, Hyunmin & Lee, Seokyoung & Lee, In-Beum & Yoon, Young-Seek, 2022. "Techno-economic and environmental impact analysis of tuyere injection of hot reducing gas from low-rank coal gasification in blast furnace," Energy, Elsevier, vol. 241(C).
    7. Zhang, Chao & Shen, Yuanhui & Zhang, Donghui & Tang, Zhongli & Li, Wenbin, 2022. "Vacuum pressure swing adsorption for producing fuel cell grade hydrogen from IGCC," Energy, Elsevier, vol. 257(C).
    8. Oh, Hyun-Taek & Ju, Youngsan & Chung, Kyounghee & Lee, Chang-Ha, 2020. "Techno-economic analysis of advanced stripper configurations for post-combustion CO2 capture amine processes," Energy, Elsevier, vol. 206(C).
    9. Xu, Qilong & Wang, Shuai & Luo, Kun & Mu, Yanfei & Pan, Lu & Fan, Jianren, 2023. "Process modelling and optimization of a 250 MW IGCC system: Model setup, validation, and preliminary predictions," Energy, Elsevier, vol. 272(C).

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