Evidence reasoning analysis algorithm and entropy weight based air conditioner starting temperature limit value simulation method

Abstract

The invention discloses an evidence reasoning analysis algorithm and entropy weight based air conditioner starting temperature limit value simulation method. The method is implemented by the following steps of: 1) determining an air conditioner starting temperature limit value range and dividing the air conditioner starting temperature limit value range into a finite number of intervals; 2) identifying factors influencing an air conditioner starting temperature limit value; 3) constructing an air conditioner starting temperature limit value interval credibility matrix; 4) calculating weights of the factors influencing the air conditioner starting temperature limit value according to an entropy weight principle; 5) performing air conditioner starting temperature limit value interval comprehensive credibility synthesis with an evidence reasoning analysis algorithm; 6) determining an air conditioner starting temperature limit value interval at a simulation moment and taking a median of the interval as the air conditioner starting temperature limit value at the simulation moment; and 7) repeating the steps 3) to 6) to perform simulation calculation on simulation time periods hour by hour. According to the method, objective factors, subjective factors, quantitative factors and qualitative factors in the air conditioner starting temperature limit value simulation can be processed and incomplete information in the simulation also can be quantitatively processed.

Description

technical field [0001] The invention belongs to the fields of building behavior energy saving, building environment and energy consumption simulation, and relates to an air-conditioning start-up temperature limit simulation method based on evidence reasoning analysis algorithm and entropy weight. Background technique [0002] With the development of my country's economy, the use of air-conditioning equipment has become one of the measures to improve the thermal environment widely used in my country's buildings. The air-conditioning usage behavior of building users, such as the time when air-conditioning equipment is turned on and the set temperature, is closely related to building energy consumption. Zhou Xin [Zhou Xin et al. Definition and Case Analysis of Human Behavior Standards. 2010 National HVAC Annual Conference. China, Hangzhou, 2010.11.) and other studies have shown that the behavior of residents using air conditioners has a significant impact on building energy con...

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Problems solved by technology

[0006] The present invention provides an evidence-based reasoning analysis algorithm and entropy for the current building environment and energy consumption simulation tools to provide building users with single air-conditioning beh

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