Intelligent Modeling of the Incineration Process in Waste Incineration Power Plant Based on Deep Learning

Lianhong Chen, Chao Wang, Rigang Zhong, Jin Wang and Zheng Zhao
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Lianhong Chen: Shenzhen Energy Environment Engineering Co., Ltd., Shenzhen 518048, China
Chao Wang: Shenzhen Energy Environment Engineering Co., Ltd., Shenzhen 518048, China
Rigang Zhong: Shenzhen Energy Environment Engineering Co., Ltd., Shenzhen 518048, China
Jin Wang: School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China
Zheng Zhao: School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China

Energies, 2022, vol. 15, issue 12, 1-12

Abstract: The incineration process in waste-to-energy plants is characterized by high levels of inertia, large delays, strong coupling, and nonlinearity, which makes accurate modeling difficult. Therefore, an intelligent modeling method for the incineration process in waste-to-energy plants based on deep learning is proposed. First, the output variables were selected from the three aspects of safety, stability and economy. The initial variables related to the output variables were determined by mechanism analysis and the input variables were finally determined by removing invalid and redundant variables through the Lasso algorithm. Secondly, each delay time was calculated, and a multi-input and multi-output model was established on the basis of deep learning. Finally, the deep learning model was compared and verified with traditional models, including LSSVM, CNN, and LSTM. The simulation results show that the intelligent model of the incineration process in the waste-to-energy plant based on deep learning is more accurate and effective than the traditional LSSVM, CNN and LSTM models.

Keywords: waste-to-energy; deep learning; variable selection; intelligent modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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