Method for optimizing operation of cold station system

Abstract

The invention relates to the technical field of data processing, in particular to a cold station system operation optimization method, which comprises the following steps of: acquiring outdoor temperature and energy consumption of an indoor production machine; the indoor area is evenly divided into a plurality of sub-areas, and the temperature of each sub-area is obtained; obtaining a cold supply demand index according to the outdoor temperature, the indoor production machine energy consumption and the temperatures of all the sub-regions; calculating the cold supply efficiency of the cold station system; determining a rotating speed range under the current working load by utilizing the relationship between the cooling efficiency and the rotating speed, and determining a basic rotating speed based on the rotating speed range; the cold station system is operated at the basic rotating speed, and the temperature difference of all the sub-areas is calculated; obtaining a cold station efficacy evaluation index according to the mean value of the temperature differences of all the sub-regions; and inputting the cold station efficacy evaluation index into a neural network to obtain the optimal rotating speed of the cold station system. The cold station system can be prevented from working under high load all the time, and the concept of energy conservation and emission reduction is met under the condition that it is guaranteed that the indoor temperature is appropriate.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for optimizing the operation of a cooling station system. Background technique [0002] At present, the cooling facilities of many public workshops have chosen cold stations for cooling, such as large supermarkets, hotels, and railway stations. Compared with the decentralized small and medium-sized central air-conditioning system, the integrated cooling station is used for cooling in a certain area, and the large-scale refrigeration unit is used, and the energy efficiency of the unit is much better than that of the small and medium-sized refrigeration unit. However, as a cooling system for workshops, the cooling station system operates below 50% load for more than 70% of the year, which causes a lot of energy waste and reduces energy consumption with the increase in energy prices. It has become the consensus of the whole society. [0003] However, in the market...

AI Technical Summary

Problems solved by technology

However, as a cooling system for the workshop, the cold station system operates under 50% load for more than 70% of the year, which causes a lot of energy waste, and with the increase of energy prices, energy consumption will be reduced. Has become the consensus of the whole society

[0003] However, in the market, the number and performance of equipment in the cold station are basically controlled based on the accumulated engineering experience of HVAC and building automation technology, and the energy efficiency model of the cold station can be established based on the working environment of the cold station and actual operating data. There are relatively few methods for energy-saving optimization

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