A Multi-Timescale Bilinear Model for Optimization and Control of HVAC Systems with Consistency

Reducing the energy consumption of the heating, ventilation, and air conditioning (HVAC) systems while ensuring users' comfort is of both academic and practical significance. However, the-state-of-the-art of the optimization model of the HVAC system is that either the thermal dynamic model is simplified as a linear model, or the optimization model of the HVAC system is single-timescale, which leads to heavy computation burden. To balance the practicality and the overhead of computation, in this paper, a multi-timescale bilinear model of HVAC systems is proposed. To guarantee the consistency of models in different timescales, the fast timescale model is built first with a bilinear form, and then the slow timescale model is induced from the fast one, specifically, with a bilinear-like form. After a simplified replacement made for the bilinear-like part, this problem can be solved by a convexification method. Extensive numerical experiments have been conducted to validate the effectiveness of this model.

Automated summary

This paper proposes a multi-timescale bilinear model for optimizing HVAC systems, where the fast timescale model is built first and then the slow timescale model is induced, with a convexification method applied for solving the problem. Extensive experiments are conducted to validate the effectiveness of this model.