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Power plant fuel consumption rate during load cycling

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  • Neshumayev, Dmitri
  • Rummel, Leo
  • Konist, Alar
  • Ots, Arvo
  • Parve, Teet

Abstract

A major challenge in the modern power system is the load cycling (ramping down and up) of thermal power plants due to the increase in electricity production from renewable power plants and other sources. The motivation for this paper is to quantify the effect of this on fuel consumption and as a result, variable costs. In this study, an experimental method for determining the fuel flow rate and corresponding power unit characteristics in a load-ramping operating regime was introduced and experimentally tested. The method is based on the static pressure drop of flue gas flowing through some convective heating surfaces of a boiler being proportional to the gas velocity, that is, in turn, proportional to the mass fuel rate. Therefore, after measuring the pressure drop during a steady-state regime, for example, in a tubular air preheater as the heat surface that is less susceptible to contamination from particle laden gas flow, and at the same time calculating the fuel mass flow rate through an indirect heat balance, the two parameters can be interrelated. The semi-empirical relationship obtained in this way can then be used for determining the actual fuel mass flow rate during transient boiler loads. The proposed method was used to determine the technical and economical characteristics of a pulverized combustion power unit utilizing oil-shale. Large-scale experiments were conducted in a high-pressure pulverized combustion steam generator TP-101, with a rated capacity of 300 MWth. The dual-boiler unit load ramping was constrained to 2.5 MWel/min. The results show that during ramping down the load to 50% maximum continuous rating, the mean fuel consumption decreased by 10%, and during ramp-up back to 100% maximum continuous rating, the mean fuel consumption increased by 14%. The total increase in fuel consumption during ramping cycle at given conditions, was approximately 4%.

Suggested Citation

  • Neshumayev, Dmitri & Rummel, Leo & Konist, Alar & Ots, Arvo & Parve, Teet, 2018. "Power plant fuel consumption rate during load cycling," Applied Energy, Elsevier, vol. 224(C), pages 124-135.
    • Handle: RePEc:eee:appene:v:224:y:2018:i:c:p:124-135
    DOI: 10.1016/j.apenergy.2018.04.063
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    Cited by:

    1. Lauri Loo & Alar Konist & Dmitri Neshumayev & Tõnu Pihu & Birgit Maaten & Andres Siirde, 2018. "Ash and Flue Gas from Oil Shale Oxy-Fuel Circulating Fluidized Bed Combustion," Energies, MDPI, vol. 11(5), pages 1-12, May.
    2. Liu, Kairui & Wang, Chao & Wang, Limin & Liu, Bin & Ye, Maojing & Guo, Yalong & Che, Defu, 2023. "Dynamic performance analysis and control strategy optimization for supercritical coal-fired boiler: A dynamic simulation," Energy, Elsevier, vol. 282(C).
    3. Ioannis Avagianos & Dimitrios Rakopoulos & Sotirios Karellas & Emmanouil Kakaras, 2020. "Review of Process Modeling of Solid-Fuel Thermal Power Plants for Flexible and Off-Design Operation," Energies, MDPI, vol. 13(24), pages 1-41, December.
    4. Wang, Chaoyang & Qiao, Yongqiang & Liu, Ming & Zhao, Yongliang & Yan, Junjie, 2020. "Enhancing peak shaving capability by optimizing reheat-steam temperature control of a double-reheat boiler," Applied Energy, Elsevier, vol. 260(C).
    5. Wang, Zhu & Liu, Ming & Yan, Junjie, 2021. "Flexibility and efficiency co-enhancement of thermal power plant by control strategy improvement considering time varying and detailed boiler heat storage characteristics," Energy, Elsevier, vol. 232(C).
    6. Wang, Xuebin & Chang, Jianxia & Meng, Xuejiao & Wang, Yimin, 2018. "Short-term hydro-thermal-wind-photovoltaic complementary operation of interconnected power systems," Applied Energy, Elsevier, vol. 229(C), pages 945-962.
    7. Yan, Hui & Liu, Ming & Wang, Zhu & Zhang, Kezhen & Chong, Daotong & Yan, Junjie, 2023. "Flexibility enhancement of solar-aided coal-fired power plant under different direct normal irradiance conditions," Energy, Elsevier, vol. 262(PA).
    8. Zhang, Xinshuo & Huang, Weibin & Chen, Shijun & Xie, Diya & Liu, Dexu & Ma, Guangwen, 2020. "Grid–source coordinated dispatching based on heterogeneous energy hybrid power generation," Energy, Elsevier, vol. 205(C).

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