Optimal control method for energy management and control comprehensive indexes

Abstract

The invention relates to an optimal control method for comprehensive indexes of energy management and control, which comprises the following modules: an area module for inputting basic data parameters; a load module used for calculating daily required load according to the area module data; a pipe network module used for inputting and analyzing pipe network data parameters; an energy unit consumption module used for calculating and analyzing on the basis of actual data; a heat supply network module which performs data calculation and analysis based on the load, the pipe network and the energyunit consumption module; an energy index module used for calculating and analyzing on the basis of actual and design data; a heat source module which performs data calculation and analysis based onthe load, the energy unit consumption, the heat supply network and the energy index module; and outputting results, and summarizing and outputting results calculated and analyzed by each module. According to the invention, an energy consumption analysis model for heat source and heat supply network production operation simulation and prediction can be managed, circulation heat balance is optimizedand created, operation calculation of changing working conditions is realized, an optimal operation mode is effectively created, production operation is guided, energy indexes are controlled, energyconservation and emission reduction are realized, and production benefits and economy are optimized.

Description

technical field [0001] The invention belongs to an optimal control method for comprehensive indicators of energy management and control. Background technique [0002] The most widely used Excel is its powerful data processing function. At present, the company needs a large amount of energy consumption data for operation in production practice and energy consumption analysis. Therefore, the traditional optimization control method of parameter data is for each product. A set of computing systems is correspondingly set up for its sole use. According to the corresponding product, the correspondingly set computing system is selected, and the parameter data to be calculated is calculated according to the computing system. When there are more types of products, and the same product is in different periods, the calculation method of its parameter data will also change. Therefore, the more computing systems need to be set up, the workload is also huge, and the efficiency is low. S...

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Problems solved by technology

And when there are more types of products, and the same product is in different periods, the calculation method of its parameter data will also change. Therefore, more calculation systems need to be set up, the workload is huge, and the efficiency is low.

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