RSM-Kriging-GA algorithm based energy consumption optimizing method and system for air conditioning system in wide region

Abstract

The invention discloses an RSM-Kriging-GA algorithm based energy consumption optimizing method and system for an air conditioning system in a wide region. The method comprises the following steps: reading current course arrangement, and setting start and stop of an air conditioner according to the course arrangement; automatically selecting a corresponding season mode according to the date on thatday, and obtaining historical data under the corresponding season mode; adopting an RSM cross model to fit to a relationship among number of people attending the source, an environment temperature, aclassroom size and a real-time refrigeration equivalent in the historical data; obtaining current environment parameters in real time, and calculating needed refrigeration equivalent according to theRSM cross model in real time; constructing a constraint relationship, and adopting a Kriging algorithm to establish a mathematic model between the environment parameters and energy consumption E; solving the optimal parameter solution based on a GA algorithm, and performing energy consumption optimizing automatic control on a set temperature, air speed and refrigeration time length according to the optimal parameters. The RSM model is based to fit to the historical big data, so that a constraint model is constructed, and a wide region air conditioning system energy consumption optimizing model based on the RSM-Kriging-GA algorithm is constructed, and therefore, air conditioner energy consumption is optimized, and resources are saved.

Description

technical field [0001] The invention belongs to the technical field of energy consumption optimization of an air-conditioning system, and in particular relates to a method and system for optimizing energy consumption of an air-conditioning system in a pan-park area based on an RSM-Kriging-GA algorithm. Background technique [0002] Extreme weather has a huge impact on people's study, work and life. The role of air conditioners is increasing day by day, and the per capita use time of air conditioners is gradually increasing. However, the energy consumption of air conditioners accounts for a relatively large proportion of the total energy consumption of the pan-park. It is the focus of attention under the energy conservation and emission reduction initiative, and it is also an important safety hazard for the overload of the power grid power system. The traditional manual control of the start-stop and temperature of the air conditioner has the following pain points: [0003] 1...

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Problems solved by technology

[0005] In view of this, the present invention proposes a method and system for optimizing the energy consumption of the pan-park air-conditioning system based on the RSM-Kriging-GA algorithm, which is used to solve the problem of unreasonable use of the pan-park air-conditioning system and optimize the energy consumption of the pan-park air-conditioning system

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