CIESC Journal ›› 2018, Vol. 69 ›› Issue (6): 2586-2593.doi: 10.11949/j.issn.0438-1157.20171393

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pH optimization and control in iron removal process of multi-reactor cascade

LI Yonggang1, MA Lei1, WU Tiebin1,2, ZHU Hongqiu1, YANG Chunhua1   

  1. 1. School of Information Science and Technology, Central South University, Changsha 410038, Hunan, China;
    2. School of Energy and Electrical Engineering, Hunan University of Humanities, Science and Technology, Loudi 417000, Hunan, China
  • Received:2017-10-18 Revised:2018-01-30 Online:2018-06-05 Published:2018-04-09
  • Supported by:

    supported by the National Natural Science Foundation of China(61673400, 61773403), the Natural Science Foundation of Hunan Province(2016JJ3079) and the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (61621062).

Abstract:

It is difficult to optimize and control pH in iron removal process, due to multi-reactor cascade, delayed detection of ionic concentration, and frequent change of working conditions. A pH optimization control method was proposed for iron removal process of a multi-reactor cascade. This method set pH in each reactor of the cascade according to classification of inlet conditions and amount of oxygen change. Two key factors, i.e. pH and ferrous ion concentration, were used to establish calcine consumption model by chemical reaction mechanism and process material balance. Considered effects of both complex mechanism and delayed detection of ion concentration on accurate addition of calcine, oxidation-reduction potential (ORP) was introduced and combined with pH to build a modified fuzzy model of calcine consumption. Simulation results show effectiveness of the method, which creates foundation for stable operation of amphibolite iron removal process.

Key words: iron removal process, calcine, ORP, pH setpoint, fuzzy rule, process systems, optimization, control

CLC Number: 

  • TF355.4

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