Sustainability-Oriented Furnace Temperature Prediction for Municipal Solid Waste Incineration Using IWOA-SAGRU

Jinxiang Pian, Mayan Si, Ao Sun () and Jian Tang
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Jinxiang Pian: School of Electrical and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China
Mayan Si: School of Electrical and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China
Ao Sun: Arts and Information Engineering College, Dalian Polytechnic University, Dalian 116400, China
Jian Tang: School of Information Science and Technology, Beijing University of Technology, Beijing 100124, China

Sustainability, 2025, vol. 17, issue 20, 1-27

Abstract: Municipal solid waste incineration promotes sustainable development by reducing waste, recovering resources, and minimizing environmental impact, with furnace temperature control playing a key role in maximizing efficiency. Accurate real-time temperature prediction is crucial in developing countries to optimize incineration, re-duce emissions, and enhance energy recovery for global sustainability. To address this, we propose a method integrating an improved whale optimization algorithm (IWOA) with a self-attention gated recurrent unit (SAGRU). Using the maximal information coefficient (MIC) to identify key factors, we optimize SAGRU parameters with IWOA, enhancing prediction accuracy by capturing temporal dependencies. Experimental validation from an MSWI plant in China demonstrates that the proposed model significantly enhances prediction accuracy under complex conditions. When compared with the Elman and LSTM models, the error is reduced by 0.7146 and 0.4689, respectively, highlighting its strong potential for practical applications in waste incineration temperature control.

Keywords: furnace temperature prediction; municipal solid waste incineration (MSWI); improved whale optimization algorithm (IWOA); self-attention mechanism gated recurrent unit (SAGRU) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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