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Operational guide to stabilize, standardize and increase power plant efficiency

Author

Listed:
  • Vieira, Lara Werncke
  • Marques, Augusto Delavald
  • Duarte, Jéssica
  • Zanardo, Rafael Petri
  • Schneider, Paulo Smith
  • Viana, Felipe Antonio Chegury
  • da Silva Neto, Antônio José
  • Centeno, Felipe Roman
  • Hunt, Julian David
  • Siluk, Julio Cezar Mairesse

Abstract

Complex engineering systems, such as power plants, deliver their best performance when operating along a designed range of some priority parameters. However, plant field operation may deviate from design conditions, and new references must be identified. Actions towards high-quality operation can be supported by fine modeling, which helps building decision support tools. The present work proposes a standardization strategy for the operation of an actual coal-fired power plant based on a Design of Experiment approach, partially tested onsite and finally accomplished with surrogate models built upon a 2 year long database. Artificial Neural Networks (ANNs) and Mass and Energy balances (M&Es) are used to represent the plant’s steam generator and its mills subset, which is the core of an operational guide to increase system efficiency under actual operation. Primary and secondary air flows, pulverized coal outlet temperature, speed of the dynamic classifier, primary air flow, excess O2, primary and secondary air pressures are the seven controllable factors selected as the most relevant ones among an extensive set of parameters, able to perform effective maneuvers. The application of the operational guide indicates combinations of ranges of the seven controllable parameters that allow for achieving steam generator efficiency within the 84.0% to 88.92% range. The proposed methodology aims as well to improve safe and stable conditions to a system that undergoes operation different than the one prescribed by the original design. The study case results show an opportunity to raise efficiency by up to 2.28% during operation, which represents a reduction in coal consumption by 3.1 t/h and above 6% on CO2 emissions.

Suggested Citation

  • Vieira, Lara Werncke & Marques, Augusto Delavald & Duarte, Jéssica & Zanardo, Rafael Petri & Schneider, Paulo Smith & Viana, Felipe Antonio Chegury & da Silva Neto, Antônio José & Centeno, Felipe Roma, 2022. "Operational guide to stabilize, standardize and increase power plant efficiency," Applied Energy, Elsevier, vol. 315(C).
    • Handle: RePEc:eee:appene:v:315:y:2022:i:c:s030626192200383x
    DOI: 10.1016/j.apenergy.2022.118973
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    References listed on IDEAS

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    1. Wakiru, James M. & Pintelon, Liliane & Muchiri, Peter N. & Chemweno, Peter K., 2019. "A simulation-based optimization approach evaluating maintenance and spare parts demand interaction effects," International Journal of Production Economics, Elsevier, vol. 208(C), pages 329-342.
    2. Stoppato, A. & Mirandola, A. & Meneghetti, G. & Lo Casto, E., 2012. "On the operation strategy of steam power plants working at variable load: Technical and economic issues," Energy, Elsevier, vol. 37(1), pages 228-236.
    3. Keith Burnard & Sankar Bhattacharya, 2011. "Power Generation from Coal: Ongoing Developments and Outlook," IEA Energy Papers 2011/14, OECD Publishing.
    4. Manente, Giovanni & Toffolo, Andrea & Lazzaretto, Andrea & Paci, Marco, 2013. "An Organic Rankine Cycle off-design model for the search of the optimal control strategy," Energy, Elsevier, vol. 58(C), pages 97-106.
    5. Li, Xiaoen & Wang, Ningling & Wang, Ligang & Yang, Yongping & Maréchal, François, 2018. "Identification of optimal operating strategy of direct air-cooling condenser for Rankine cycle based power plants," Applied Energy, Elsevier, vol. 209(C), pages 153-166.
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    Cited by:

    1. Fu, Yue & Wang, Liyuan & Liu, Ming & Wang, Jinshi & Yan, Junjie, 2023. "Performance analysis of coal-fired power plants integrated with carbon capture system under load-cycling operation conditions," Energy, Elsevier, vol. 276(C).
    2. Opriș, Ioana & Cenușă, Victor-Eduard, 2023. "Parametric and heuristic optimization of multiple schemes with double-reheat ultra-supercritical steam power plants," Energy, Elsevier, vol. 266(C).

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