A semi-physical static model for optimizing power consumption of HVAC systems. (March 2020)

• Record Type: Journal Article
• Authors: Xiong, Wanqi; Wang, Jiandong
• Is Part Of: Control engineering practice. Volume 96(2020)
• Publication Date: 2020-03
• Subjects: HVAC systems -- Semi-physical modeling method -- Static model -- Power consumption optimization; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2020.104312
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: Mathematical models of heating, ventilation and air conditioning (HVAC) systems is of great significance for optimizing power consumptions in large buildings. This paper proposes a semi-physical model to describe static characters of a typical HVAC system. Major components of the HVAC system are modeled individually according to their thermodynamic principles or input–output relations, and are integrated into an overall model by choosing input and output variables from a perspective of optimizing power consumptions. One set of experimental data samples is used to estimate unknown model coefficients, and more data sets are taken to validate the estimated model. Based on the estimated model, genetic algorithms are exploited to find the optimal operating point of the HAVC system for minimizing power consumptions under constraints on indoor temperatures. Highlights: A semi-physical model is proposed to describe static characters of HVAC systems. Gray-box models are developed for the cooling tower, cooling coil, and room. The chiller is described as a black-box model. The proposed model is estimated and validated via experimental data samples.