Artificial intelligence technique development for energy-efficient waste-to-energy: A case study of an incineration plant,Case Studies in Thermal Engineering

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Artificial intelligence technique development for energy-efficient waste-to-energy: A case study of an incineration plant
Case Studies in Thermal Engineering ( IF 6.4 ) Pub Date : 2024-09-05 , DOI: 10.1016/j.csite.2024.105071
Da-Sheng Lee , Shang-Tse Lee , Yen-Tang Chen , Po-Yu Su

The increasing heat value and complexity of waste types in Taiwan's incineration plants have led to reduced facility capacity and utilization rates. Traditional control systems struggle to manage rapid and irregular fluctuations in waste heat values, often resulti ng in poor stability and prolonged response times. This study introduces an artificial intelligence-based heat value prediction and combustion control system that enhances system efficiency and stability without equipment upgrades. The system predicts future waste heat trends, enabling precise operational adjustments. This results in shorter response times, improved combustion stability, and higher energy recovery efficiency, effectively replacing traditional control systems for more accurate waste management.

更新日期：2024-09-05

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