A self-learning optimization control method for energy consumption of industrial circulating water system
A technology of industrial circulating water and optimal control, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of low control requirements and level, low degree of automation, high energy consumption, etc.
Active Publication Date: 2017-06-09
HEBEI BOKAI ENERGY SAVING TECH
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Problems solved by technology
[0004] 2. Huge energy consumption: Taking small and medium-sized steel plants as an example, the annual power consumption of water pumps alone is more than 300 million kWh;
[0005] 3. The degree of automation is low: most of them use manual operation, even if the automatic control system is adopted, the control requirements and level are not high;
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[0058] The present invention will be further described through the embodiments below in conjunction with the accompanying drawings.
[0059] Such as figure 2 As shown, the energy consumption self-learning optimization control system of the industrial circulating water system in this embodiment includes: an environmental sensor, a controller, and an actuator; wherein, the environmental sensor includes an outdoor temperature and humidity sensor, a pipeline sensor, a water pump sensor, and a cooling tower sensor; Actuators include: frequency converters for water pumps, frequency converters for cooling towers and electric valves.
[0060] Such as image 3 As shown, the energy consumption self-learning optimization control of the industrial circulating water system of this embodiment includes the following steps:
[0061] 1) Store the demanded cooling capacity Qd, the outdoor enthalpy value Eo and the equipment control parameter index value ID to form a "working condition contro...
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The invention discloses an industrial circulating water system energy consumption self-learning optimization control method. Through automatic working condition recognition, when a working condition changes, matching is carried out in a working condition control parameter table according to a demand cooling quantity Qd and an outdoor enthalpy Eo, and equipment control parameters are set; if the working condition appears for the first time, through self-learning optimization adjustment, new equipment control parameters are set, and the equipment control parameters are optimized continuously in system operation. Cooling quantity supply and demand of the system are matched through automatic recognition, the system supply can be prevented from exceeding the demand, energy consumption waste can be avoided, or the supply can be prevented from being smaller than demand, and the production can be prevented from being influenced. According to the demand cooling quantity and the outdoor enthalpy, in a table looking-up method, the optimized control parameters in a historical general working condition are looked up, and stability of system control can be ensured; through continuously adjusting opening of an electric valve of a pipe network slightly in the case of operation, features of the pipeline are optimized, energy consumption can be ensured to be the minimal all the time in the case of operation, energy consumption self-learning control can be finally realized, and the industrial circulating water system optimization control is thus realized.
Description
technical field [0001] The invention relates to an energy-saving technology for an industrial circulating water system, in particular to a self-learning optimization control method for energy consumption of an industrial circulating water system. Background technique [0002] Industrial circulating water systems generally mainly include circulating water pumps, pipe networks, cooling towers, electric valves and cooled equipment. Among them, circulating water pumps are connected to cooled equipment through pipelines, cooled equipment is connected to cooling towers through pipelines, and cooling towers are connected to cooling towers through pipelines. Connect the water pump, set electric valves on the pipeline, and all the pipelines form a pipeline network, such as figure 1 shown. The main energy-consuming equipment in the industrial circulating water system is the circulating water pump and the cooling tower. The controllable parameters are the frequency of the water pump, ...
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IPC IPC(8): G05B13/02
Inventor 冯浩然张理朝
Owner HEBEI BOKAI ENERGY SAVING TECH