Electric energy optimizing process in zinc electrolyzing process

An optimization method, zinc electrolysis technology, applied in photography technology, equipment, photography auxiliary technology, etc., can solve the problem of high power consumption

Inactive Publication Date: 2008-12-31
CENT SOUTH UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of high power consumption in the zinc electrolysis process, according to the time-of-use pricing policy of the power department, and on the

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  • Electric energy optimizing process in zinc electrolyzing process
  • Electric energy optimizing process in zinc electrolyzing process
  • Electric energy optimizing process in zinc electrolyzing process

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Embodiment Construction

[0076] The process parameters of 7 series of zinc electrolysis plants in a smelting group are: the number of time-sharing billing periods N=4, the duration of each period of hours (T 1 ,T 2 ,T 3 ,T 4 ) = (5, 4, 7, 8), the electricity price of each period (P 1 , P 2 , P 3 , P 4 )=0.392×(1 / 9, 1.35, 1.0, 0.4) Yuan / (kW·h), the number of series m=7, the number of electrolyzers of each series (n 1 , n 2 , n 3 , n 4 , n 5 , n 6 , n 7 )=(240, 240, 246, 192, 208, 208, 208), the number of boards in each slot (b 1 , b 2 , b 3 , b 4 , b 5 , b 6 , b 7 )=(34, 46, 54, 56, 56, 57, 57), cathode plate area S 0 =1.13m 2 , planned output G 0 =960t.

[0077] On the basis of fully studying the actual production situation of the enterprise and ensuring the production conditions corresponding to the actual production process, through the zinc electrolysis condition test in the laboratory, the cell voltage, current efficiency, power consumption and current density, electrolyte T...

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Abstract

Disclosed is an energy consumption optimization method for a zinc electrolysis process, which establishes an energy consumption optimization controlling model for the zinc electrolysis process according to energy consumption status under different electrolysis conditions in process of zinc electrolysis and time-sharing price counting policy of electric power department, making the lowest energy consumption and electric charge in process of zinc electrolysis process as the aims, making current density, sulphuric acid concentration, zinc concentration and temperature technological parameters as the optimization variables, and making output and production process as the constrained conditions; and utilizes a cooperative particle swarm algorithm with acceleration regulation to solve the energy consumption optimization controlling model for the zinc electrolysis process, therein two optimization aims are handled by a double fitness strategy to obtain an energy consumption optimization scheme of zinc electrolysis process. The energy consumption optimization method substitutes for artificial controlling method of parameter setting by experience, effectively optimizes current density, acid zinc concentration and temperature in process of production, decreases the energy consumption and reduces the cost.

Description

technical field [0001] The invention relates to an electric energy optimization method for zinc electrolysis process. Background technique [0002] Zinc hydrometallurgy is the main method of zinc smelting in my country at present. Zinc electrolysis is the largest power-consuming process, and its power consumption accounts for 70% to 80% of the energy consumption of the entire zinc hydrometallurgy process. Quite a large proportion. In order to stabilize the load of the power grid, the power sector has formulated a time-of-use pricing policy for electricity charges. According to the load of the grid, a day is divided into several time periods. High electricity prices are billed during peak hours of electricity consumption, and low electricity prices are billed during low-peak hours of electricity consumption. Therefore, how to coordinate and optimize the process parameters of the zinc electrolysis process to minimize the power consumption and cost of the electrolysis process i...

Claims

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Application Information

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IPC IPC(8): C25C1/16G05B13/04
CPCY02P10/20
Inventor 阳春华桂卫华王辉肖功明李勇刚彭曙光魏文武陶顺红张美菊
Owner CENT SOUTH UNIV
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