Thermal Modeling for a HVAC Controlled Real-Life Auditorium

Abstract

Abstract-The largest source of energy consumption in buildings is heating, ventilation, and air conditioning (HVAC). For an HVAC system to provide comfort and minimize energy consumption, it is crucial to understand the spatio-temporal thermal dynamics, especially in large open spaces. To optimize HVAC control, it is important to establish accurate dynamic thermal models. For this purpose, we constructed a real-world testbed by instrumenting an HVAC-controlled auditorium using multiple types of sensors. Based on the dataset, we develop and evaluate a novel data-driven approach to model the complex thermal dynamics in a large space through a combination of data clustering and system identification techniques. Real-world data shows that our approach achieves low estimation errors. Our modeling approach therefore provides a practical foundation for HVAC control and optimization for large open spaces.

SnowFort: An Open Source Wireless Sensor Network for Data Analytics in Infrastructure and Environmental Monitoring

“…In addition, SnowFort provides interfaces for scientific computation softwares, such as R and Matlab, to access data. Such feature will benefit the applications like sensor placement and optimization ( [31], [32]). …”