Method for predicting office building cooling load

A forecasting method and cooling load technology, applied in forecasting, heating methods, resources, etc., can solve the problems of rough estimation, large load design value, energy waste, etc.

Inactive Publication Date: 2017-09-15
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

At present, the relatively common load estimation method in the industry is the area index method. Although this method can be applied to the estimation of most building loads, the estimation is too rough, which often leads to large load design values ​​and low operating efficiency, resulting in unnecessary of energy waste

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  • Method for predicting office building cooling load
  • Method for predicting office building cooling load
  • Method for predicting office building cooling load

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Experimental program
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Embodiment

[0079] Embodiment: A kind of prediction method of cooling load of office building, on the basis of actual design and use, put forward the time-by-hour change model of personnel occupancy rate, the time-by-hour change model of equipment cooling load, the time-by-hour change model of personnel cooling load, There are seven models: the hourly change model of lighting cooling load, the hourly change model of building envelope cooling load, the hourly change model of solar radiation cooling load and the model of fresh air load. It comes from the analysis and summary of the actual measurement data of typical office buildings in various buildings such as scientific research, and has high accuracy and operability. The specific method and principle of office building cooling load are as follows: figure 1 shown. In this embodiment, the methods for establishing each model are disclosed as follows, and the establishment of models is specifically divided into information collection method...

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Abstract

The invention belongs to the technical field of building cooling load control, relates to a method for predicting an office building cooling load, and through building an office building outdoor cooling load model, an office building indoor cooling load model and an office building fresh air load hourly variation model, an office building cooling load model is obtained. Based on the an energy conservation law and a thermal balance relation in building environment, from the point of view of variation of the number of people in an office building and personnel energy utilization modes, the interference amount of a cooling load in the office building is predicted and analyzed; and meteorological website data are utilized to predict a cooling load outside the office building and an office building fresh air load. The method for predicting the office building cooling load establishes an air conditioner enclosing structure, a solar radiation cooling load hourly variation model, and hourly variation models of personnel, equipment, illumination cooling loads and personnel indoor rate in air conditioning environment, and finally obtains a cooling load prediction model of the office building.

Description

technical field [0001] The invention belongs to the technical field of building cooling load control, and in particular relates to a prediction method for office building cooling load. Background technique [0002] With the continuous advancement of my country's economic growth and urbanization process, the demand for energy is also increasing rapidly. Building energy consumption is close to one-third of the total energy consumption of the society, and building energy conservation is an important topic for achieving energy conservation and emission reduction goals. At present, the relatively common load estimation method in the industry is the area index method. Although this method can be applied to the estimation of most building loads, the estimation is too rough, which often leads to large load design values ​​and low operating efficiency, resulting in unnecessary of energy waste. Prediction of heating and air conditioning load is the basis for accurately configuring e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06F24F11/00
CPCG06Q10/04G06Q10/06315
Inventor 丁研杨钒陈越蓝浩
Owner TIANJIN UNIV
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