Indoor thermal environment control method based on model reduction and multi-model predictive control

Abstract

The invention discloses an indoor thermal environment control method based on model reduction and multi-model prediction control. The method includes the three main steps that firstly, a temperature variation section of an indoor user region is segmented, modeling is conducted on the equilibrium state position of each segment through computional fluid dynamics (CFD) software and the proper orthogonal decomposition (POD) technology, and a low-order linear building thermal environment in a multi-model type is reconstructed; secondly, multi-model switching time is reasonably selected through an optimization algorithm; thirdly, accurate control over the user region temperature is conducted on each sub model through a prediction control method. Low-order models of the building indoor thermal environment are constructed through the POD technology and the multi-model method, the influence of space distribution on the temperature variation can be fully taken into consideration in a temperature regulation strategy, and accuracy of indoor temperature control is improved. Compared with an existing temperature control strategy adopted in large space, the indoor thermal environment control method has the advantages that accuracy is high, and energy saving of a building is facilitated.

Description

Technical field [0001] The invention relates to an indoor thermal environment control method based on model reduction and multi-model predictive control, and belongs to the field of building environment and building energy saving. Background technique [0002] my country is a big energy consuming country, among which building energy consumption accounts for about 25% of the total energy consumption of our society, and the proportion is still increasing year by year. With the continuous improvement of people's requirements for living quality and building energy saving, how to control and optimize the building's indoor thermal environment and air conditioning energy consumption has attracted more and more attention. [0003] Under the current traditional HVAC control strategy, the control parameters in the building indoor thermal environment are usually simplified to a uniform value, ignoring the influence of spatial distribution. In fact, due to the air flow and heat transfer chara...

AI Technical Summary

Problems solved by technology

Its characteristic is to extend the idea of ​​linear expansion of the nonlinear system at the equilibrium point to the complex distributed parameter system, and use the discretization method and model reduction technology to establish a low-order linear, multi-model indoor thermal environment mathematical model to solve thermal problems. The model mismatch problem caused by the coupling phenomenon, so that the linear system predictive control method can be applied to accurately control the indoor thermal environment

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