Building energy management decision-making in the real world: A comparative study of HVAC cooling strategies

In recent years, various heating, ventilation, and air-conditioning (HVAC) control strategies have been proposed to reduce buildings' energy consumption and environmental impacts. Due to different research designs, it is impossible to directly compare the reported performance of these strategies and determine the best approach for operating real-world buildings. To fill this gap, this research uses a well-validated building simulation model to holistically evaluate the performance of 12 existing HVAC cooling strategies in reducing the total cooling energy use, peak demand, and cooling energy cost. The findings include: i) The ON/OFF and night setup control strategies could lead to even higher energy cost than the 24/7 operation baseline; ii) demand-limiting control methods performed well across the three energy performance metrics and achieved the highest energy reduction ratios ranging from 9.8% to 10.5%; iii) precooling and extended precooling reduced the peak load most significantly by 15.4% and 21.4%, respectively; and iv) the resistive-capacitive (RC) network-based precooling optimization resulted in the highest electricity cost savings with reduction ratios of 16.6% and 12.9%, based on the two common price schedules. Besides providing valuable insights to the research community, this study offers a practical method to help building operators analyze and select the best HVAC control strategies for their energy management goals.

Automated summary

The study comprehensively evaluated the performance of 12 existing HVAC cooling strategies using a simulation model, with findings showing that demand-limiting control methods performed well and achieved the highest energy reduction ratios, while the RC network-based precooling optimization resulted in the highest electricity cost savings.