Operation Optimization of Flue Gas Desulfurization System in Power Plant Based on an Improved Association Rules Algorithm

被引：0

作者：

Xu Z. ^{[1
]}

Zheng C. ^{[1
]}

Zhang Y. ^{[1
]}

Zhang J. ^{[1
]}

Guo Y. ^{[1
]}

Li Q. ^{[2
]}

Hu D. ^{[2
]}

Gao X. ^{[1
]}

机构：

[1] State Key Laboratory of Clean Energy Utilization (Zhejiang University), Hangzhou, 310027, Zhejiang Province

[2] Zhejiang Tiandi Environmental Protection Technology Co., Ltd, Hangzhou, 310003, Zhejiang Province

来源：

| 1600年 / Chinese Society for Electrical Engineering卷 / 37期

关键词：

Apriori; Association rules; Coal-fired power plant; Optimization; SO[!sub]2[!/sub;

D O I：

10.13334/j.0258-8013.pcsee.161942

中图分类号：

学科分类号：

摘要：

Focused on the problems of instability and high consumption of energy and materials in wet flue gas desulfurization (WFGD), an improved association rules algorithm was applied to optimize the operating conditions. To reduce memory occupation and time consumption, the scale of candidate item sets and candidate association rules was downsized by adding pruning conditions and restraining the antecedents and consequents. The results indicate that the SO2 average emission concentration corresponding to the optimized working conditions decreases by 31% compared with all historical data and the time cost reduces by 93.9% with the optimization of the improved algorithm. Comparing the cost of each working condition in optimized conditions library, a low-cost working condition can be chosen as the optimization goal, which will help lower the SO2 emission achievement and reduce the energy and materials consumption in the meantime. The improved association rules algorithm accomplished an effective reduction of SO2 emission with high efficiency and will be of great value for energy conservation. © 2017 Chin. Soc. for Elec. Eng.

引用

页码：4408 / 4414

页数：6

共 25 条

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