Performance evaluation of a novel double-reheat boiler with triple-rear passes

Zhu, Hua; Che, Defu; Liu, Ming; He, Wei; Yi, Guangzhou; Yan, Junjie

doi:10.1016/j.applthermaleng.2019.113801

Cited by 12 publications

(1 citation statement)

References 23 publications

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“…The reheat steam temperature is an important factor that affects the safe, efficient, and economical operation of coal-fired unit (Zhu et al, 2019). Low reheat steam temperatures lead to decreases in the thermal efficiency and the operation safety of the unit because of the increase in humidity at the end of steam turbines.…”

Section: Introductionmentioning

confidence: 99%

Multi-Step Ahead Prediction of Reheat Steam Temperature of a 660 MW Coal-Fired Utility Boiler Using Long Short-Term Memory

Tan

Zhu

et al. 2022

Front. Energy Res.

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With increases in the penetration of renewables in grids, there is an increasing demand for coal-fired power plants to operate flexibly. Regulation of reheat steam temperature is of great importance for the safe and efficient operation of coal-fired power plants. However, the difficulty of reheat steam temperature regulation increases largely during flexible operation due to the large delay and nonlinear properties, especially those units designed to shoulder base load and with limited regulating strategy. A multistep prediction model on the reheat steam temperature of a 660-MW coal-fired utility boiler was developed based on long short-term memory. The results show that the multistep prediction model performs well. The average root mean square error and mean absolute percentage error values of the five-step prediction results are less than 0.52°C and 0.07%, respectively. The correlation coefficients of the five-step predictions are all greater than 0.95. With a sample interval of 30 s, the model provides an accurate prediction of reheat steam temperature within 2.5 min, which could supply an important reference for the reheat steam temperature regulation.

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Section: Introductionmentioning

confidence: 99%