EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 681 (2025) E3S Web Conf., 681 (2025) 04008 References
Open Access
Issue
E3S Web Conf.
Volume 681, 2025
4th Energy Security & Chemical Engineering Congress (ESChE 2025)
Article Number 04008
Number of page(s) 9
Section Renewable Energy Systems, Thermal Management, HVAC and Process/CFD Engineering
DOI https://doi.org/10.1051/e3sconf/202568104008
Published online 22 December 2025
  1. J.S. Hassan, R.M. Zin, M.Z. Abd Majid, S. Balubaid, M.R. Hainin, Building energy consumption in Malaysia: An overview. Jurnal Teknologi. 70, 7 (2014) https://doi.org/10.11113/jt.v70.3574 [Google Scholar]
  2. R. Saidur, Energy consumption, energy savings, and emission analysis in Malaysian office buildings. Energy Policy. 37, 10, 4104–4113 (2009) https://doi.org/10.1016/j.enpol.2009.04.052 [CrossRef] [Google Scholar]
  3. W. Tang, X. Zhang, X. Bai, L. Zhang, M. Yuan, B. Li, R. Liang, Prediction and evaluation of air conditioner energy consumption of residential buildings in the Yangtze River Basin. Journal of Building Engineering. 65, 105714 (2023) https://doi.org/10.1016/j.jobe.2022.105714 [Google Scholar]
  4. W. Li, G. Gong, Z. Ren, Q. Ouyang, P. Peng, L. Chun, X. Fang, A method for energy consumption optimization of air conditioning systems based on load prediction and energy flexibility. Energy. 243, 123111 (2022) https://doi.org/10.1016/j.energy.2022.123111 [Google Scholar]
  5. S. Song, J. Long, H. Jiang, B. Ran, L. Yao, Characteristics of office lighting energy consumption and its impact on air conditioning energy consumption. Energy and Built Environment. 5, 529–543 (2024) https://doi.org/10.1016/j.enbenv.2023.04.003 [Google Scholar]
  6. Y. Zhao, W. Li, J. Zhang, C. Jiang, S. Chen. Real-time energy consumption prediction method for air-conditioning system based on long short-term memory neural network. Energy & Buildings. 298, 113527 (2023) https://doi.org/10.1016/j.enbuild.2023.113527 [Google Scholar]
  7. Z. Fang, T. Tang, Q. Su, Z. Zheng, X. Xu, Y. Ding, M. Liao. Investigation into optimal control of terminal unit of air conditioning system for reducing energy consumption. Applied Thermal Engineering. 177, 115499 (2020) https://doi.org/10.1016/j.applthermaleng.2020.115499 [Google Scholar]
  8. S. Liu, W. Ge, X. Meng. Influence of the shading nets on indoor thermal environment and air-conditioning energy consumption in lightweight buildings. Energy Reports. 11, 4515–4521 (2024) https://doi.org/10.1016/j.egyr.2024.04.032 [Google Scholar]
  9. Y. Tan, J. Peng, C. Curcija, R. Yin, L. Deng, Y. Chen. Study on the impact of window shades’ physical characteristics and opening modes on air conditioning energy consumption in China. Energy and Built Environment. 1, 254–261 (2020) https://doi.org/10.1016/j.enbenv.2020.03.002 [Google Scholar]
  10. A.A. Kinsara, M.M. Elsayed, O.M. Al-Rabghi. Porposed energy-efficient air conditioning system using liquid desiccant. Applied Thermal Engineering. 16, 10, 791–806 (1996) [Google Scholar]
  11. Y.P. Zhou, J.Y. Wu, R.Z. Wang, S. Shiochi. Energy simulation in the variable refrigerant flow air-conditioning system under cooling conditions. Energy and Buildings. 39, 212–220 (2007) https://doi.org/10.1016/j.enbuild.2006.06.005 [Google Scholar]
  12. J.L. Niu, L.Z. Zhang, H.G. Zuo. Energy savings potential of chilled ceiling combined with desiccant cooling in hot and humid climates. Energy & Buildings. 34, 487–495 (2002) [CrossRef] [Google Scholar]
  13. K. Ghali. Energy savings potential of a hybrid desiccant dehumidification air conditioning system in Beirut. Energy Conversion and Management. 49, 3387–3390 (2008) https://doi.org/10.1016/j.enconman.2008.04.014 [Google Scholar]
  14. N. Wang, J. Zhang, X. Xia. Energy consumption of air conditioners at different temperature set points. Energy and Buildings. 65, 412–418 (2013) https://doi.org/10.1016/j.enbuild.2013.06.01 [Google Scholar]
  15. Z. Zhang, C. Liu, X. Chen, C. Zhang, J. Chen. Annual energy consumption of electric vehicle air conditioning in China. Applied Thermal Engineering. 125, 567–574 (2017) https://doi.org/10.1016/j.applthermaleng.2017.07.032 [Google Scholar]
  16. C.W. Wei, T.C. Yan, S. Li, D.Y.K. Ip, H. Lee, C.Y.H. Chao, A.K.H. Lau. 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 (2019) https://doi.org/10.1016/j.enbuild.2019.06.029 [Google Scholar]
  17. J. Xie, Y. Pan, W. Jia, L. Xu, Z. Huang. Energy-consumption simulation of a distributed air-conditioning system integrated with occupant behaviour. Applied Energy. 256, 113914 (2019) https://doi.org/10.1016/j.apenergy.2019.113914 [Google Scholar]
  18. J. Sakeena, J. Nadeem, I. Sohail, A. Sheeraz, H.R. Muhammad. Optimizing energy consumption of air-conditioning systems with the fuzzy logic controllers in residential buildings: Optimizing energy consumption of air-conditioning systems in residential buildings. International Conference on Computing, Mathematics and Engineering Technologies. 1–25 (2018) https://doi.org/10.1109/iCoMET42805.2018 [Google Scholar]
  19. J.D. Rhodes, B. Stephens, M.E. Webber. Using energy audits to investigate the impacts of common air-conditioning design and installation issues on peak power demand and energy consumption in Austin, Texas. Energy and Buildings. 43, 3271–3278 (2011) https://doi.org/10.1016/j.enbuild.2011.08.032 [Google Scholar]
  20. A. Kusiak, M. Li, F. Tang. Modelling and optimization of HVAC energy consumption. Applied Energy. 87, 3092–3102 (2010) https://doi.org/10.1016/j.apenergy.2010.04.008 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.