Energy efficiency evaluation of desulfurization system based on AHP-EWM and DBO-RF

Energy efficiency evaluation of desulfurization system refers to assessing the energy efficiency level of the system through the data generated in the production process. For the problem of coexistence of subjective and objective information in the desulfurization system of coal-fired power station, this paper proposes the AHP-EWM evaluation model with random number combination assignment. For the high complexity of the traditional comprehensive evaluation model, this paper adopts the DBO-RF algorithm to avoid the subsequent real-time evaluation step. Dung beetle optimizer solves the problem of the model being trapped in the local optimal point due to too many hyperparameters of random forest. The experimental results show that there is a great overlap between the model derived from the DBO-RF training and the results obtained from the evaluation model of the AHP-EWM with combinatorial assignment, and the energy efficiency evaluation of the FGD system can be realized using the DBO-RF algorithm.