Thermal Model Parameter Estimation for HVAC Facility using Recursive Least Square Method
Authors
Dae Ki Kim, Kyu Chul Lee, Sung Hyun Yoo, Jung Hoon Kim, Myotaeg Lim
Corresponding Author
Dae Ki Kim
Available Online March 2016.
- DOI
- 10.2991/icmmse-16.2016.53How to use a DOI?
- Keywords
- Heating, Ventilating and Air Conditioning (HVAC), Home Energy Management System (HEMS), Parameter estimation, Recursive least square
- Abstract
In this paper, the parameter estimation of thermal dynamic discrete-time system for heating, ventilating and air conditioning (HVAC) is studied using recursive least square method. Parameters are estimated by using recursive least square method. Thermodynamic model of indoor test bed is formulated by outdoor temperature, HVAC power consumption, and thermal noise and estimated thermal dynamic parameters show improved performance of thermodynamic model for day-ahead indoor temperature compared to original least square parameter estimation approach. In this research, the experiment is implemented to verify the performance of proposed approach in a laboratory environment.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dae Ki Kim AU - Kyu Chul Lee AU - Sung Hyun Yoo AU - Jung Hoon Kim AU - Myotaeg Lim PY - 2016/03 DA - 2016/03 TI - Thermal Model Parameter Estimation for HVAC Facility using Recursive Least Square Method BT - Proceedings of the 2016 International Conference on Mechanics, Materials and Structural Engineering PB - Atlantis Press SP - 314 EP - 318 SN - 2352-5401 UR - https://doi.org/10.2991/icmmse-16.2016.53 DO - 10.2991/icmmse-16.2016.53 ID - Kim2016/03 ER -