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2025 Vol.32, Issue 5 Preview Page

Research Article

31 October 2025. pp. 559-570
Abstract
References
1

Aghili, S. A., Haji Mohammad Rezaei, A., Tafazzoli, M., Khanzadi, M., & Rahbar, M. (2025). Artificial intelligence approaches to energy management in HVAC systems: A systematic review. Buildings, 15(7), 1008. https://doi.org/10.3390/buildings15071008

10.3390/buildings15071008
2

Ariyur, K. B., & Krstić, M. (2003). Real time optimization by extremum seeking control. John Wiley & Sons.https://doi.org/10.1002/0471669784

10.1002/0471669784
3

Bamdad, K., Mohammadzadeh, N., Cholette, M., & Perera, S. (2023). Model predictive control for energy optimization of HVAC systems using EnergyPlus and ACO algorithm. Buildings, 13(12), 3084. https://doi.org/10.3390/buildings13123084

10.3390/buildings13123084
4

Behrooz, F., Mariun, N., Marhaban, M. H., Mohd Radzi, M. A., & Ramli, A. R. (2018). Review of control techniques for HVAC systems—Nonlinearity approaches based on fuzzy cognitive maps. Energies, 11(3), 495. https://doi.org/10.3390/en11030495

10.3390/en11030495
5

Burns, D., & Laughman, C. (2012, July). Extremum seeking control for energy optimization of vapor compression systems. Paper presented at 2012 International Refrigeration and Air Conditioning Conference @ Purdue University, Ray W. Herrick Laboratories, West Lafayette, IN, USA.

6

Che, W. W., Chi, Y. T., Li, S., Danny, Y. K., Lee, H., Chao, Y. H., & Lau, K. H. (2019). Energy consumption, indoor thermal comfort and air quality in a commercial office with retrofitted heat, ventilation and air conditioning (HVAC) system. Energy and Buildings, 201, 202-215. https://doi.org/10.1016/j.enbuild.2019.06.029

10.1016/j.enbuild.2019.06.029
7

Cui, C., Ren, J., Song, Y., Yin, X., Wang, W., Yang, X., & Cao, F. (2021). Multi-variable extreme seeking control for efficient operation of sub-cooler vapor injection trans-critical CO2 heat pump water heater. Applied Thermal Engineering, 184, 116261. https://doi.org/10.1016/j.applthermaleng.2020.116261

10.1016/j.applthermaleng.2020.116261
8

Dong, L., Li, Y., House, J. M., & Salsbury, T. I. (2020). Model-free control and staging for real-time energy efficient operation of a variable refrigerant flow system with multiple outdoor units. Applied Thermal Engineering, 180, 115787. https://doi.org/10.1016/j.applthermaleng.2020.115787

10.1016/j.applthermaleng.2020.115787
9

Ebegbulem, J., Guay, M., House J. M., & Salsbury, T. I. (2018, August). Decentralized proportional-integral extremum seeking control for heating, ventilation and air conditioning (HVAC) systems. Paper presented at 2018 IEEE Conference on Control Technology and Applications @ Institute of Electrical and Electronics Engineers, Copenhagen, Denmark. https://doi.org/10.1109/CCTA.2018.8511534

10.1109/CCTA.2018.8511534
10

Fankhauser, S., Smith, S. M., Allen, M., Axelsson, K., Hale, T., Hepburn, C., Kendall, J. M., Khosla, R., Lezaun, J., Larson, Mitchell, E., Obersteiner, M., Rajamani, L., Rickaby, R., Seddon, N., & Wetzer, T. (2022). The meaning of net zero and how to get it right. Nature Climate Change, 12, 15-21. https://doi.org/10.1038/s41558-021-01245-w

10.1038/s41558-021-01245-w
11

Glos, J., Kozovský, M., Šolc, F., & Václavek, P. (2020, June). Minimizing power consumption of automotive AC system by condenser fan speed control. Paper presented at 2020 IEEE 29th International Symposium on Industrial Electronics @ Institute of Electrical and Electronics Engineers, Delft, Netherlands. https://doi.org/10.1109/ISIE45063.2020.9152547

10.1109/ISIE45063.2020.9152547
12

Gong, Y., Liu, G., & Lu, Z. (2023). Extremum seeking control for real-time optimization of high temperature heat pump systems incorporating vapor injection. Thermal Science and Engineering Progress, 42, 101867. https://doi.org/10.1016/j.tsep.2023.101867

10.1016/j.tsep.2023.101867
13

Hu, B., Li, Y., Mu, B., Wang, S., Seem, J. E., & Cao, F. (2016). Extremum seeking control for efficient operation of hybrid ground source heat pump system. Renewable Energy, 86, 332-346. https://doi.org/10.1016/j.renene.2015.07.092

10.1016/j.renene.2015.07.092
14

Jin, R., Xu, P., Gu, J., Xiao, T., Li, C., & Wang, H. (2025). Review of optimization control methods for HVAC systems in demand response (DR): Transition from model-driven to model-free approaches and challenges. Building and Environment, 280, 113045. https://doi.org/10.1016/j.buildenv.2025.113045

10.1016/j.buildenv.2025.113045
15

Jouhara, H., & Yang, J. (2018). Energy efficient HVAC systems. Energy and Buildings, 179, 83-85. https://doi.org/10.1016/j.enbuild.2018.09.001

10.1016/j.enbuild.2018.09.001
16

Krstić, M. (2000). Performance improvement and limitations in extremum seeking control. Systems & Control Letters, 39(5), 313-326. https://doi.org/10.1016/S0167-6911(99)00111-5

10.1016/S0167-6911(99)00111-5
17

Krstić, M., & Wang, H. H. (2000). Stability of extremum seeking feedback for general nonlinear dynamic systems. Automatica, 36(4), 595-601. https://doi.org/10.1016/S0005-1098(99)00183-1

10.1016/S0005-1098(99)00183-1
18

Li, P., Li, Y., & Seem, J. E. (2009, June). Extremum seeking control for efficient and reliable operation of air-side economizers. Paper presented at 2009 American Control Conference @ Institute of Electrical and Electronics Engineers, St. Louis, MO, USA. https://doi.org/10.1109/ACC.2009.5160596

10.1109/ACC.2009.5160596
19

Li, X., Li, X., Seem, J. E., & Li, P. (2013). Dynamic modeling and self-optimizing operation of chilled water systems using extremum seeking control. Energy and Buildings, 58, 172-182. https://doi.org/10.1016/j.enbuild.2012.12.010

10.1016/j.enbuild.2012.12.010
20

Rosenow, J., & Eyre, N. (2022). Reinventing energy efficiency for net zero. Energy Research & Social Science, 90, 102602. https://doi.org/10.1016/j.erss.2022.102602

10.1016/j.erss.2022.102602
21

Salsbury, T. I., House, J. M., Alcala, C. F., & Li, Y. (2017). An extremum-seeking control method driven by input–output correlation. Journal of Process Control, 58, 106-116. https://doi.org/10.1016/j.jprocont.2017.06.015

10.1016/j.jprocont.2017.06.015
22

Tyagi, V., Sane, H., & Darbha, S. (2006, June). An extremum seeking algorithm for determining the set point temperature for condensed water in a cooling tower. Paper presented at 2006 American Control Conference @ Institute of Electrical and Electronics Engineers, Minneapolis, MN, USA. https://doi.org/10.1109/ACC.2006.1656368

10.1109/ACC.2006.1656368
23

Wang, W., Li, Y., & Cao, F. (2019). Extremum seeking control for efficient operation of an air-source heat pump water heater with internal heat exchanger cycle vapor injection. International Journal of Refrigeration, 99, 153-165. https://doi.org/10.1016/j.ijrefrig.2019.01.002

10.1016/j.ijrefrig.2019.01.002
24

Xiao, Y., Li, Y., & Seem, J. E. (2014, July). Multi-variable extremum seeking control for mini-split air-conditioning system. Paper presented at International Refrigeration and Air Conditioning Conference @ Purdue University, Ray W. Herrick Laboratories, West Lafayette, IN, USA.

25

Yang, L., Wang, Y., & Turney, R. (2018, July). Extremum-seeking control optimizes VRF energy consumption. Paper presented at International Refrigeration and Air Conditioning Conference @ Purdue University, Ray W. Herrick Laboratories, West Lafayette, IN, USA.

26

Zhao, Z., Li, Y., Salsbury, T. I., & House, J. M. (2017, May). Input selection for multivariable extremum seeking control with application to real-time optimization of a chilled-water plant. Paper presented at 2017 American Control Conference @ Institute of Electrical and Electronics Engineers, Seattle, WA, USA. https://doi.org/10.23919/ACC.2017.7962931

10.23919/ACC.2017.7962931
27

Zhao, Z., Li, Y., Salsbury, T. I., House, J. M., & Alcala, C. F. (2020). Local self-optimizing control based on extremum seeking control. Control Engineering Practice, 99, 104394. https://doi.org/10.1016/j.conengprac.2020.104394

10.1016/j.conengprac.2020.104394
28

Zhao, Z., Salsbury, T. I., House, J. M., Alcala, C. F., & Li, Y. (2021). A comparison of two extremum seeking control strategies based on simulation and laboratory tests for heat pump air conditioning. Science and Technology for the Built Environment, 27(5), 641-655. https://doi.org/10.1080/23744731.2020.1806625

10.1080/23744731.2020.1806625
Information
  • Publisher :The Korean Society of Living Environmental System
  • Publisher(Ko) :한국생활환경학회
  • Journal Title :Journal of The Korean Society of Living Environmental System
  • Journal Title(Ko) :한국생활환경학회
  • Volume : 32
  • No :5
  • Pages :559-570
  • Received Date : 2025-10-19
  • Revised Date : 2025-10-22
  • Accepted Date : 2025-10-22