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Targeting the optimum steam system for power generation with increased flexibility in the steam power island design

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  • Botros, Barbara B.
  • Brisson, John G.

Abstract

The importance of the steam cycle design to maximize power generation is demonstrated using pinch analysis targeting techniques is demonstrated. Fixed steam headers, such as assumed in total site analysis, give no allowance for reheating before turbine expansion, which can be valuable to consider when optimizing the steam system for certain plant configurations. Additionally, previous work optimizes the steam pressure level based on its saturation temperature alone. The present work examines the effect of including both sensible and latent heating of steam in the balanced composite curve. It is shown that including sensible heating allows for better thermal matching between the process and steam system which results in improving the overall efficiency while minimizing cost. A case study using an IGCC plant with CCS is analyzed to assess changes in steam cycle design on the plant efficiency and cost.

Suggested Citation

  • Botros, Barbara B. & Brisson, John G., 2011. "Targeting the optimum steam system for power generation with increased flexibility in the steam power island design," Energy, Elsevier, vol. 36(8), pages 4625-4632.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:8:p:4625-4632
    DOI: 10.1016/j.energy.2011.03.045
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    Citations

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    Cited by:

    1. Amiri, Hamed & Sotoodeh, Amir Farhang & Amidpour, Majid, 2021. "A new combined heating and power system driven by biomass for total-site utility applications," Renewable Energy, Elsevier, vol. 163(C), pages 1138-1152.
    2. Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2012. "Heat integration of regenerative Rankine cycle and process surplus heat through graphical targeting and mathematical modeling technique," Energy, Elsevier, vol. 45(1), pages 556-569.
    3. Varbanov, Petar Sabev & Fodor, Zsófia & Klemeš, Jiří Jaromír, 2012. "Total Site targeting with process specific minimum temperature difference (ΔTmin)," Energy, Elsevier, vol. 44(1), pages 20-28.
    4. Yang, Lin & Xu, Mao & Fan, Jingli & Liang, Xi & Zhang, Xian & Lv, Haodong & Wang, Dong, 2021. "Financing coal-fired power plant to demonstrate CCS (carbon capture and storage) through an innovative policy incentive in China," Energy Policy, Elsevier, vol. 158(C).
    5. Hackl, Roman & Harvey, Simon, 2013. "Framework methodology for increased energy efficiency and renewable feedstock integration in industrial clusters," Applied Energy, Elsevier, vol. 112(C), pages 1500-1509.
    6. Cormos, Calin-Cristian & Vatopoulos, Konstantinos & Tzimas, Evangelos, 2013. "Assessment of the consumption of water and construction materials in state-of-the-art fossil fuel power generation technologies involving CO2 capture," Energy, Elsevier, vol. 51(C), pages 37-49.
    7. Cormos, Calin-Cristian, 2012. "Integrated assessment of IGCC power generation technology with carbon capture and storage (CCS)," Energy, Elsevier, vol. 42(1), pages 434-445.
    8. Sun, Li & Doyle, Steve & Smith, Robin, 2015. "Heat recovery and power targeting in utility systems," Energy, Elsevier, vol. 84(C), pages 196-206.
    9. Wan Alwi, Sharifah Rafidah & Mohammad Rozali, Nor Erniza & Abdul-Manan, Zainuddin & Klemeš, Jiří Jaromír, 2012. "A process integration targeting method for hybrid power systems," Energy, Elsevier, vol. 44(1), pages 6-10.
    10. Lund, Henrik & Mathiesen, Brian Vad, 2012. "The role of Carbon Capture and Storage in a future sustainable energy system," Energy, Elsevier, vol. 44(1), pages 469-476.

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