Method and system for predicting hourly cooling load of central air-conditioner in office building on line

A central air-conditioning and prediction method technology, applied in heating and ventilation control systems, heating and ventilation safety systems, heating methods, etc., can solve the problems of increased model training time and difficulty in meeting real-time requirements

Active Publication Date: 2012-10-03
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0004] However, due to the continuous increase of air-conditioning load forecast samples over time, the model training time

Method used

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  • Method and system for predicting hourly cooling load of central air-conditioner in office building on line
  • Method and system for predicting hourly cooling load of central air-conditioner in office building on line
  • Method and system for predicting hourly cooling load of central air-conditioner in office building on line

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Embodiment

[0107] Such as figure 1 As shown, the hourly cooling load online prediction system for office building central air conditioners in this embodiment includes cold source data acquisition system 1, multiple air conditioner terminal equipment intelligent node devices 2, outdoor meteorological data acquisition device 3, data transfer server 4, air conditioner Cooling load forecast data server 5 and remote client 6; air-conditioning terminal equipment intelligent node devices include fan coil intelligent node devices and air-conditioning unit intelligent node devices;

[0108] Such as figure 2 As shown, the cold source data acquisition system is used to collect the cooling load value of the central air conditioner; the cold source data acquisition system includes a cold source data collector, a water supply pipe temperature sensor, a return water pipe temperature sensor, a chilled water flow meter and a cold source data communication module. The temperature sensor of the water sup...

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Abstract

The invention discloses a method for predicting an hourly cooling load of a central air-conditioner in an office building on line based on indoor temperature and humidity parameters. The method for predicting the cooling load comprises the following steps of: performing time sequence prediction on outdoor meteorological parameters and air-conditioner operation input parameters, establishing an Online support vector regression (SVR) dynamic prediction model of the air-conditioner cooling load by using the data, predicting 24-hour air-conditioner cooling load in the current day in advance, and performing compensation by using a residual sequence of the actual value and the predication value of the 24-hour air-conditioner load in the previous day. The predication data of the air-conditioner cooling load prediction model established by the method is high in reliability; and the method can be applied to occasions for prediction of the hourly cooling load of the central air-conditioner in the office building in a single building or a large range, energy-saving control of a central air-conditioner system, energy consumption prediction of the air-conditioner, power peak clipping in areas and the like.

Description

technical field [0001] The present invention relates to a prediction method and system for central air-conditioning cooling load, in particular to an hourly cooling load online prediction method and system for office building central air-conditioning based on indoor temperature and humidity parameters. Background technique [0002] The air-conditioning system is a major energy consumer in buildings, and the air-conditioning cooling load is one of the main factors causing the power shortage in summer. Most of the existing air-conditioning prediction methods are used in the selection of air-conditioning equipment in the design stage. The common method is to use building load simulation calculation software, such as Tsinghua University's Dest software, to estimate the air-conditioning cooling load or use typical meteorological year data to calculate The hourly load of the air-conditioning system, but because the cooling load of the air-conditioning is greatly affected by factor...

Claims

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Application Information

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IPC IPC(8): F24F11/00
Inventor 周璇杨建成闫军威
Owner SOUTH CHINA UNIV OF TECH
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