Tang, J.; Wang, T.; Xia, H.; Cui, C. An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process. Sustainability2024, 16, 2042.
Tang, J.; Wang, T.; Xia, H.; Cui, C. An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process. Sustainability 2024, 16, 2042.
Tang, J.; Wang, T.; Xia, H.; Cui, C. An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process. Sustainability2024, 16, 2042.
Tang, J.; Wang, T.; Xia, H.; Cui, C. An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process. Sustainability 2024, 16, 2042.
Abstract
Artificial intelligence (AI) has found extensive applications in the sustainability domain. The municipal solid waste incineration (MSWI) process can achieve waste-to-energy (WTE) goals through the assistance of automation and information technologies. In theory, AI can facilitate the intelligent operation of the MSWI process, simultaneously achieving low pollution emissions and high production efficiency. This study provides an overview of AI applications in the MSWI process. Addressing fundamental challenges, the optimal control of the MSWI process is categorized into four aspects: modeling, control, optimization, and maintenance. Subsequently, this study conducts a detailed analysis and discussion of AI applications in each of these technological domains. In conclusion, this paper outlines the future research directions and provides an outlook on the fundamental issues pertaining to AI applications in the optimal control of the MSWI process.
Environmental and Earth Sciences, Sustainable Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
