2024
DOI: 10.3390/su16083452
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Vision-Based Reinforcement Learning Approach to Optimize Bucket Elevator Process for Solid Waste Utilization

Akshay Chavan,
Tobias Rosenhövel,
Alexander Elbel
et al.

Abstract: An energy-intensive industry such as cement manufacturing requires a constant supply of high amounts of traditional fossil fuels, such as coal or gas, for the calcination process. A way to overcome this fuel need is the usage of solid waste or Alternative Fuel Resources (AFRs), such as wood or paper. An advantage of using such waste is that their combustion byproduct, “ash”, can be used as a raw material alternative in the cement manufacturing process. However, for structural reasons, only bucket elevator tech… Show more

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