E3S Web Conf.
Volume 261, 20212021 7th International Conference on Energy Materials and Environment Engineering (ICEMEE 2021)
|Number of page(s)||5|
|Section||Energy Development and Energy Storage Technology Research and Development|
|Published online||21 May 2021|
Study on boiler’s comprehensive benefits optimization based on PSO optimized XGBoost algorithm
College of Automation, Southeast University, Nanjing, China, 210000
2 Jiangsu special equipment safety supervision and Research Institute Nanjing China, 210036
* Corresponding author: email@example.com
To predict the boiler’s combustion efficiency and NOx emissions, this paper introduced a particle swarm optimization optimized XGBoost algorithm. The results show that the MAPE can reach 0.107% and 3.732% respectively on the verification set, which is better SVM, LR and ANN. At the same time, this paper presents a comprehensive benefits evaluation function considering economic and environmental benefits to optimize the multi-objective optimization problem of boiler’s combustion efficiency and NOx emission. Based on the operation data of a 300 MW Circulating Fluidized Bed, the experimental results show that: the comprehensive benefits evaluation function can reasonably balance boiler’s combustion efficiency and NOx emissions to achieve the optimal comprehensive benefit.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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