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Optimal gas treatment and coal blending for reduced emissions in power plants: A case study in Northwest Spain

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  • Guerras, Lidia S.
  • Martín, Mariano

Abstract

In this work a decision making framework for the design of the flue gas treatment section of a power plant has been developed, including particle, NOx and SO2 removal operations. It has been applied to a coal based thermal power plant in Spain to select the optimal technologies and its sequence. Surrogate models for the treatments have been developed. The problem corresponds to a mixed integer non-linear programming one including catalytic and non-catalytic NOx removal, allowing various allocations for the catalytic technology, electrostatic precipitation and wet or dry SO2 removal. It is reformulated as a non-linear problem to evaluate bypass opportunities. The optimization suggests the use of electrostatic precipitation, followed by catalytic NOx removal and dry SO2 removal. Next, a coal blending problem has also been solved for two objective functions. When only treatment costs are considered, the use of imported coal is recommended, but an increase of 4% in its price can change the decision into the use of national coal. If the energy within the coal is added to the objective function, crude tar coal is included in the blend and imported coal is used to maintain the emissions within limits. Limestone Forced Oxidation is the selected technology.

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  • Guerras, Lidia S. & Martín, Mariano, 2019. "Optimal gas treatment and coal blending for reduced emissions in power plants: A case study in Northwest Spain," Energy, Elsevier, vol. 169(C), pages 739-749.
    • Handle: RePEc:eee:energy:v:169:y:2019:i:c:p:739-749
    DOI: 10.1016/j.energy.2018.12.089
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    1. Shih, Jhih-Shyang & Frey, H. Christopher, 1995. "Coal blending optimization under uncertainty," European Journal of Operational Research, Elsevier, vol. 83(3), pages 452-465, June.
    2. Li, Zixiang & Miao, Zhengqing & Zhou, Yan & Wen, Shurong & Li, Jiangtao, 2018. "Influence of increased primary air ratio on boiler performance in a 660 MW brown coal boiler," Energy, Elsevier, vol. 152(C), pages 804-817.
    3. Farber, Paul S., 1986. "Production and disposal of wastes from dry and wet flue-gas cleaning systems," Energy, Elsevier, vol. 11(11), pages 1347-1356.
    4. Adams, T. & Mac Dowell, N., 2016. "Off-design point modelling of a 420MW CCGT power plant integrated with an amine-based post-combustion CO2 capture and compression process," Applied Energy, Elsevier, vol. 178(C), pages 681-702.
    5. Wang, Chunlin & Liu, Yang & Zheng, Song & Jiang, Aipeng, 2018. "Optimizing combustion of coal fired boilers for reducing NOx emission using Gaussian Process," Energy, Elsevier, vol. 153(C), pages 149-158.
    6. Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2012. "Operational planning optimization of multiple interconnected steam power plants considering environmental costs," Energy, Elsevier, vol. 37(1), pages 549-561.
    7. Ameri, Mohammad & Mokhtari, Hamid & Mostafavi Sani, Mostafa, 2018. "4E analyses and multi-objective optimization of different fuels application for a large combined cycle power plant," Energy, Elsevier, vol. 156(C), pages 371-386.
    8. Luo, Xianglong & Hu, Jiahao & Zhao, Jun & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2014. "Multi-objective optimization for the design and synthesis of utility systems with emission abatement technology concerns," Applied Energy, Elsevier, vol. 136(C), pages 1110-1131.
    9. Hentschel, Julia & Zindler, Henning & Spliethoff, Hartmut, 2017. "Modelling and transient simulation of a supercritical coal-fired power plant: Dynamic response to extended secondary control power output," Energy, Elsevier, vol. 137(C), pages 927-940.
    10. Martín, Mariano & Martín, Mónica, 2017. "Cooling limitations in power plants: Optimal multiperiod design of natural draft cooling towers," Energy, Elsevier, vol. 135(C), pages 625-636.
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