Intelligent control system and operational performance optimization of a municipal solid waste incineration power plant

被引:1
作者
Zhu, Meixi [1 ]
Zhang, Yi [1 ]
机构
[1] City Dev Environm Corp Ltd, Zhengzhou 450008, Henan, Peoples R China
关键词
Municipal solid waste incineration; Intelligent control system; Intelligent soot-blowing cleanliness index; Performance optimization; Economic analysis; PREDICTION; COMBUSTION; EMISSIONS; NETWORK;
D O I
10.1016/j.fuproc.2024.108162
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
This study proposed an integrated intelligent control system in one municipal solid waste incineration power plant to improve the system's control accuracy, economic performance and environmental impact, including the intelligent combustion, intelligent denitrification, intelligent desulfurization and intelligent soot-blowing control subsystems. The precise detection and adjustment of the key operational parameters was achieved by integrating these modules into the existing distributed control system. A comparative analysis of the operation data between pre-optimization and post-optimization states was conducted to assess the changes in the key operational and economic parameters. The results indicate that the introduction of the intelligent control module can significantly improve the system stability and parameter control accuracy, thereby enhancing the economic efficiency of the waste incineration power plant and reducing the operation workload and the pollutants emissions. Specifically, the standard deviations of main steam flowrate and pressure decreased by 45.1 % and 60.7 %, respectively. Furthermore, the consumptions of the ammonia water and lime slurry were reduced by 38.2 % and 23.2 %, respectively, while the auxiliary power consumption rate declined by two percentage points, and the power generation per ton of waste increased by 4.2 %. These improvements not only strengthen the economic benefits but also effectively reduce the pollutants emissions.
引用
收藏
页数:13
相关论文
共 38 条
[1]   Catalyzing paradigm shifts in global waste Management: A case study of Saharanpur Smart city [J].
Ansari, Abdullah ;
Dutt, Dharm ;
Kumar, Vivek .
WASTE MANAGEMENT BULLETIN, 2024, 2 (01) :29-38
[2]   Artificial intelligence driven smart operation of large industrial complexes supporting the net-zero goal: Coal power plants [J].
Ashraf, Waqar Muhammad ;
Dua, Vivek .
DIGITAL CHEMICAL ENGINEERING, 2023, 8
[3]   Coupling of alkaline and mechanical modified fly ash for HCl and SO2 removal in the municipal solid waste incineration plant [J].
Cai, Zhaoyu ;
Du, Bing ;
Dai, Xiaodong ;
Wang, Tao ;
Wang, Jiawei ;
Zhang, Yongsheng .
FUEL, 2023, 346
[4]   Performance assessment of a novel medical-waste-to-energy design based on plasma gasification and integrated with a municipal solid waste incineration plant [J].
Chen, Heng ;
Li, Jiarui ;
Li, Tongyu ;
Xu, Gang ;
Jin, Xi ;
Wang, Min ;
Liu, Tong .
ENERGY, 2022, 245
[5]   Thermodynamic and economic evaluation of a novel waste-to-energy design incorporating anaerobic digestion and incineration [J].
Chen, Heng ;
Li, Juan ;
Liu, Jun ;
Li, Tongyu ;
Xu, Gang ;
Liu, Wenyi .
ENERGY CONVERSION AND MANAGEMENT, 2022, 252
[6]   Intelligent Modeling of the Incineration Process in Waste Incineration Power Plant Based on Deep Learning [J].
Chen, Lianhong ;
Wang, Chao ;
Zhong, Rigang ;
Wang, Jin ;
Zhao, Zheng .
ENERGIES, 2022, 15 (12)
[7]   Synergistic control potential of flue gas pollutants under Ultra-Low emission standards in waste incineration plants [J].
Cui, Jicui ;
Li, Jiyang ;
Zhang, Haoyu ;
Zhang, Ruina ;
Ma, Wenchao ;
Zhu, Ying ;
Yuan, Wenxiang ;
Palocz-Andresen, Michael ;
Zhao, Youcai ;
Lou, Ziyang .
ENVIRONMENT INTERNATIONAL, 2024, 186
[8]   Global trends of waste-to-energy (WtE) technologies in carbon neutral perspective: Bibliometric analysis [J].
Cui, Wenjing ;
Wei, Yuan ;
Ji, Ningning .
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2024, 270
[9]   MIMO modeling and multi-loop control based on neural network for municipal solid waste incineration [J].
Ding, Haixu ;
Tang, Jian ;
Qiao, Junfei .
CONTROL ENGINEERING PRACTICE, 2022, 127
[10]  
Ding X., 2024, Int. J. Thermofluids, V21, DOI [10.1016/J.IJFT.2024.100569, DOI 10.1016/J.IJFT.2024.100569]