Title: Study on load estimation method of HVAC system in large public gymnasium

Authors: Yuanhua Li

Addresses: College of Physical Education, Central South University of Forestry and Technology, Changsha 410004, China

Abstract: This paper proposes a load estimation method for HVAC system of large public gymnasium. The operation data of HVAC system in large public gymnasium are collected and processed by principal component analysis. According to the data processed, this paper analyses the influencing factors of HVAC system, constructs the linear regression estimation model of system load, and optimises the objective function of load estimation by using genetic algorithm to obtain the optimal solution. Experiments show that the method has strong robustness good adaptability to the model parameters, high fitting degree between the load estimation results and the actual values, and the maximum running time is less than 12.8 s. It can complete the load estimation efficiently and has good performance in practical application.

Keywords: HVAC system; load; linear regression model; model parameters; estimate.

DOI: 10.1504/IJGEI.2023.127665

International Journal of Global Energy Issues, 2023 Vol.45 No.1, pp.14 - 25

Received: 01 Jul 2021
Accepted: 29 Sep 2021
Published online: 13 Dec 2022 *