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Dynamic air conditioning system energy consumption prediction model construction and prediction method and device

An energy consumption prediction model and air conditioning system technology, which can be used in prediction, calculation models, biological models, etc., and can solve problems such as inaccurate energy consumption

Active Publication Date: 2021-03-19
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a dynamic air-conditioning system energy consumption prediction model construction, prediction method and device to solve the problem of inaccurate energy consumption predicted by the air-conditioning system energy consumption prediction method and device in the prior art

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  • Dynamic air conditioning system energy consumption prediction model construction and prediction method and device
  • Dynamic air conditioning system energy consumption prediction model construction and prediction method and device
  • Dynamic air conditioning system energy consumption prediction model construction and prediction method and device

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Embodiment 1

[0071] Such as figure 1 As shown, a method for constructing a dynamic air-conditioning system energy consumption prediction model is disclosed in this embodiment, which is used to establish an energy consumption prediction model for a dynamic air-conditioning system of a building to be predicted. The method is executed according to the following steps:

[0072] Step 1. Collect the environmental data of the air-conditioning system of the building to be predicted at the i-th day of the j-th day. The environmental data at the i-th time of the j-th day include the outdoor temperature value at the i-th time of the j-th day, the outdoor temperature at the i-1 hour of the j-th day Temperature value, outdoor relative humidity value at time i-1 of day j, outdoor wind speed value at time i-1 of day j, direct solar radiation value at time i-1 of day j, solar radiation value at time i-1 of day j Scattered radiation value, air-conditioning temperature setting value at time i of day j, and ...

Embodiment 2

[0137] In this embodiment, a dynamic air-conditioning system energy consumption prediction method is disclosed, which is used to predict the energy consumption of the air-conditioning system of the building to be predicted. The method is executed according to the following steps:

[0138] Step A. Obtain the environmental data at the forecast time R of the air conditioning system of the building to be predicted. The collected data at the R time includes the outdoor temperature value at the R time, the outdoor temperature value at the R-1 time, and the outdoor relative humidity at the R-1 time value, outdoor wind speed value at time R-1, direct solar radiation value at time R-1, diffuse solar radiation value at time R-1, air-conditioning temperature setting value at time R, and air-conditioning system energy consumption mode at time R;

[0139] Step B. Input the predicted environmental data of the building air-conditioning system prediction time R obtained in step A into the ener...

Embodiment 3

[0145] This embodiment discloses a dynamic air-conditioning system energy consumption prediction model construction device, which is used to establish the energy consumption prediction model of the building's air-conditioning system to be predicted. The device includes an environmental data collection module, an energy consumption value acquisition module, and model training module;

[0146] The environmental data acquisition module is used to collect the environmental data of the air conditioning system of the building to be predicted at the i-th day on the j-th day. The environmental data at the i-th time on the j-th day includes the outdoor temperature value at the i- Outdoor temperature value at hour 1, outdoor relative humidity value at hour i-1 of day j, outdoor wind speed value at hour i-1 of day j, direct solar radiation value at hour i-1 of day j, value of solar radiation at hour i-1 of day j, Solar radiation value at time 1, air conditioner temperature setting value ...

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Abstract

The invention discloses a dynamic air conditioning system energy consumption prediction model construction and prediction method and device. According to the dynamic air conditioning system energy consumption prediction model construction and prediction method and device, the hourly prediction of the energy consumption of a dynamic air conditioning system is carried out through building an improved particle swarm optimization BP neural network, the energy consumption prediction accuracy is improved, and the energy saving and optimization control of the air conditioning system are facilitated;and by establishing a dynamic energy consumption control model, the dynamic change trend that the indoor thermal environment effectively follows the outdoor temperature is realized, and the unification of comfort and health is realized while the dynamic control of the thermal environment is met.

Description

technical field [0001] The invention relates to a method and a device for predicting energy consumption of an air-conditioning system, in particular to a method and a device for constructing a dynamic energy consumption prediction model for an air-conditioning system. Background technique [0002] A comfortable indoor thermal environment is a prerequisite for people's physical and mental health and efficient work. The hidden health and high energy consumption problems behind the traditional steady-state thermal environment creation mode have attracted the attention of researchers in related fields. At present, the dynamic thermal environment control provides a favorable way for the dynamic optimization of the indoor thermal environment, which can effectively use the small regular fluctuations of the thermal environment, and realize the unity of comfort and health while satisfying the dynamic control of the thermal environment. However, creating a comfortable indoor thermal ...

Claims

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Application Information

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IPC IPC(8): F24F11/47F24F11/64G06N3/00G06N3/08G06Q10/04
CPCF24F11/47F24F11/64G06N3/006G06N3/084G06Q10/04
Inventor 白燕武璐璐贺引娥张亚俐万陶成
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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