A method and device for optimizing control of intelligent building HVAC systems

Abstract

This invention relates to the field of intelligent building HVAC system control and optimization technology, and discloses an optimized control method and device for intelligent building HVAC systems. The invention first acquires solar radiation intensity data and ambient temperature data for the current scheduling cycle; then, it inputs the solar radiation intensity data and ambient temperature data into a pre-constructed photovoltaic power generation model to obtain photovoltaic power generation data. Finally, using the minimum total electricity cost as the objective function and maintaining the PMV comfort level of each room in the intelligent building within the comfort elasticity range as a constraint, the air supply plan of the HVAC system is solved. The total electricity cost is the sum of the operating costs for each air supply period determined based on the photovoltaic power generation data and the air conditioning power consumption data. This invention can fully utilize photovoltaic power generation to reduce electricity costs while ensuring user comfort.

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