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Commercial building energy efficiency optimization method based on hybrid genetic simulated annealing algorithm

A simulated annealing algorithm and hybrid genetic technology, which is applied in the field of energy efficiency optimization of commercial buildings based on the hybrid genetic simulated annealing algorithm, can solve problems such as the lack of an evaluation system for commercial building electrical energy-saving technologies

Pending Publication Date: 2020-12-15
SOUTHEAST UNIV +2
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Problems solved by technology

In order to improve energy efficiency and reduce energy consumption, Lombard L.P proposed a method to set up different energy efficiency evaluation standards for central air-conditioning systems according to different climate conditions and building types; D Cooper and A.B.Kulkarni used electric energy meters to measure the total daily energy consumption of elevators in their research , as the evaluation index of energy consumption; the United Kingdom, the United States, Canada, Japan and other developed countries have established energy-saving evaluation systems in line with their own national characteristics. All countries stipulate that in the process of implementing energy-saving technologies for commercial buildings, they must rely on the established norms and guidelines, which require a qualitative and quantitative real assessment of the effect of electrical energy conservation and electrical energy conservation technology. In contrast, my country has not established a complete commercial building electrical energy conservation technology evaluation system

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  • Commercial building energy efficiency optimization method based on hybrid genetic simulated annealing algorithm
  • Commercial building energy efficiency optimization method based on hybrid genetic simulated annealing algorithm
  • Commercial building energy efficiency optimization method based on hybrid genetic simulated annealing algorithm

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Embodiment Construction

[0157] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0158] A commercial building energy efficiency optimization method based on a hybrid genetic simulated annealing algorithm, the commercial building energy efficiency optimization method includes the following steps:

[0159] S1: Obtain the number of physical equipment and operating parameter data of the central air-conditioning system, obtain the performance parameter data of the physical equipment of the lighting system, and obtain the performance parameter and ope...

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Abstract

The invention discloses a commercial building energy efficiency optimization method based on a hybrid genetic simulated annealing algorithm. The method is characterized in that the method comprises the following steps: obtaining the number and operation parameter data of all physical equipment of a central air-conditioning system, and obtaining the performance parameter data of the physical equipment of an illumination system; acquiring elevator system physical equipment performance parameters and operation parameter data; establishing an energy efficiency optimization model of the whole commercial building by taking improvement of the energy efficiency of the whole commercial building as a target and considering a central air conditioning system, a lighting system and an elevator system;and solving the commercial building energy efficiency optimization model by adopting a hybrid genetic simulated annealing algorithm. According to the commercial building energy efficiency optimizationmethod, the commercial building energy efficiency optimization method performs qualitative and quantitative real evaluation on the electrical energy-saving effect and the electrical energy-saving technology, and facilitates promotion of construction and evaluation of a commercial building electrical energy-saving technology evaluation system and improvement of the energy efficiency of the whole commercial building.

Description

technical field [0001] The invention relates to the field of electrical engineering, in particular to a commercial building energy efficiency optimization method based on a hybrid genetic simulated annealing algorithm. Background technique [0002] With the continuous development of society, energy issues have increasingly become one of the major issues of common concern in the world. Energy efficiency optimization has become urgent, and energy development and energy conservation have become the basic energy policies of our country. According to relevant statistics, the energy consumption per unit area of ​​large public buildings in my country can reach 70-150kW·h / m per year 2 , while the energy consumption of large commercial buildings such as shopping malls and hotels accounts for more than 60% of building energy consumption. According to the comprehensive analysis of power consumption, the central air-conditioning system, lighting system and elevator system are three imp...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/13G06F30/20G06Q10/06G06Q10/04G06Q50/06G06N3/12G06F111/04G06F111/06G06F111/08G06F119/06G06F119/08G06F119/12
CPCG06F30/13G06F30/20G06Q10/067G06Q10/04G06Q50/06G06N3/126G06F2111/04G06F2111/06G06F2111/08G06F2119/06G06F2119/08G06F2119/12Y02P90/82
Inventor 杨永标杨斌徐青山邵雪松殷唐
Owner SOUTHEAST UNIV
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