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Modeling of HVAC operational faults in building performance simulation

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Cited by:

  1. Shen, Yuxuan & Pan, Yue, 2023. "BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization," Applied Energy, Elsevier, vol. 333(C).
  2. Hong, Yejin & Yoon, Sungmin & Kim, Yong-Shik & Jang, Hyangin, 2021. "System-level virtual sensing method in building energy systems using autoencoder: Under the limited sensors and operational datasets," Applied Energy, Elsevier, vol. 301(C).
  3. Yan, Biao & Yang, Wansheng & He, Fuquan & Zeng, Wenhao, 2023. "Occupant behavior impact in buildings and the artificial intelligence-based techniques and data-driven approach solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
  4. Li, Tingting & Zhou, Yangze & Zhao, Yang & Zhang, Chaobo & Zhang, Xuejun, 2022. "A hierarchical object oriented Bayesian network-based fault diagnosis method for building energy systems," Applied Energy, Elsevier, vol. 306(PB).
  5. Li, Gaochao & Xu, Rongji & Xu, Keming & Xu, Qiang & Chen, Hongbing & Wang, Huasheng, 2026. "Applications of artificial intelligence for PVT heat pump systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 234(C).
  6. Zhong, Fangliang & Calautit, John Kaiser & Wu, Yupeng, 2022. "Assessment of HVAC system operational fault impacts and multiple faults interactions under climate change," Energy, Elsevier, vol. 258(C).
  7. Yoon, Y. & Jung, S. & Im, P. & Salonvaara, M. & Bhandari, M. & Kunwar, N., 2023. "Empirical validation of building energy simulation model input parameter for multizone commercial building during the cooling season," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
  8. Hyo-Jun Kim & Young-Hum Cho, 2021. "Optimal Control Method of Variable Air Volume Terminal Unit System," Energies, MDPI, vol. 14(22), pages 1-15, November.
  9. Georgios Martinopoulos & Anna Serasidou & Panagiota Antoniadou & Agis M. Papadopoulos, 2018. "Building Integrated Shading and Building Applied Photovoltaic System Assessment in the Energy Performance and Thermal Comfort of Office Buildings," Sustainability, MDPI, vol. 10(12), pages 1-24, December.
  10. Fan, Cheng & Sun, Yongjun & Shan, Kui & Xiao, Fu & Wang, Jiayuan, 2018. "Discovering gradual patterns in building operations for improving building energy efficiency," Applied Energy, Elsevier, vol. 224(C), pages 116-123.
  11. Yimin Chen & Guanjing Lin & Eliot Crowe & Jessica Granderson, 2021. "Development of a Unified Taxonomy for HVAC System Faults," Energies, MDPI, vol. 14(17), pages 1-25, September.
  12. Weng, Xiaoqi & Beuran, Razvan & Tan, Yasuo, 2026. "SBCSE: Emulation platform for smart building control system security testing," International Journal of Critical Infrastructure Protection, Elsevier, vol. 53(C).
  13. Winkler, Jon & Das, Saptarshi & Earle, Lieko & Burkett, Lena & Robertson, Joseph & Roberts, David & Booten, Charles, 2020. "Impact of installation faults in air conditioners and heat pumps in single-family homes on U.S. energy usage," Applied Energy, Elsevier, vol. 278(C).
  14. Daly, Daniel & Carr, Chantel & Daly, Matthew & McGuirk, Pauline & Stanes, Elyse & Santala, Inka, 2023. "Extending urban energy transitions to the mid-tier: Insights into energy efficiency from the management of HVAC maintenance in ‘mid-tier’ office buildings," Energy Policy, Elsevier, vol. 174(C).
  15. Im, Piljae & Joe, Jaewan & Bae, Yeonjin & New, Joshua R., 2020. "Empirical validation of building energy modeling for multi-zones commercial buildings in cooling season," Applied Energy, Elsevier, vol. 261(C).
  16. Luca Gugliermetti & Fabrizio Cumo & Sofia Agostinelli, 2024. "A Future Direction of Machine Learning for Building Energy Management: Interpretable Models," Energies, MDPI, vol. 17(3), pages 1-27, February.
  17. Koo, Jabeom & Yoon, Sungmin, 2022. "In-situ sensor virtualization and calibration in building systems," Applied Energy, Elsevier, vol. 325(C).
  18. Younghoon Kwak & Jeonga Kang & Sun-Hye Mun & Young-Sun Jeong & Jung-Ho Huh, 2020. "Development and Application of a Flexible Modeling Approach to Reference Buildings for Energy Analysis," Energies, MDPI, vol. 13(21), pages 1-22, November.
  19. Dayoung Jung & Youngtae Choe & Jihun Shin & Eunche Kim & Gihong Min & Dongjun Kim & Mansu Cho & Chaekwan Lee & Kilyong Choi & Byung Lyul Woo & Wonho Yang, 2022. "Risk Assessment of Indoor Air Quality and Its Association with Subjective Symptoms among Office Workers in Korea," IJERPH, MDPI, vol. 19(4), pages 1-12, February.
  20. Max Emil S. Trothe & Hamid Reza Shaker & Muhyiddine Jradi & Krzysztof Arendt, 2019. "Fault Isolability Analysis and Optimal Sensor Placement for Fault Diagnosis in Smart Buildings," Energies, MDPI, vol. 12(9), pages 1-12, April.
  21. Antonio Rosato & Mohammad El Youssef & Rita Mercuri & Armin Hooman & Marco Savino Piscitelli & Alfonso Capozzoli, 2025. "Assessment of Indoor Thermo-Hygrometric Conditions and Energy Demands Associated to Filters and Dampers Faults via Experimental Tests of a Typical Air-Handling Unit During Summer and Winter in Southern Italy," Energies, MDPI, vol. 18(3), pages 1-40, January.
  22. Lu, Xing & O'Neill, Zheng & Li, Yanfei & Niu, Fuxin, 2020. "A novel simulation-based framework for sensor error impact analysis in smart building systems: A case study for a demand-controlled ventilation system," Applied Energy, Elsevier, vol. 263(C).
  23. Zhao, Yang & Li, Tingting & Zhang, Xuejun & Zhang, Chaobo, 2019. "Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 85-101.
  24. Antonio Rosato & Francesco Guarino & Sergio Sibilio & Evgueniy Entchev & Massimiliano Masullo & Luigi Maffei, 2021. "Healthy and Faulty Experimental Performance of a Typical HVAC System under Italian Climatic Conditions: Artificial Neural Network-Based Model and Fault Impact Assessment," Energies, MDPI, vol. 14(17), pages 1-41, August.
  25. Yoon, Sungmin & Yu, Yuebin, 2018. "Hidden factors and handling strategies on virtual in-situ sensor calibration in building energy systems: Prior information and cancellation effect," Applied Energy, Elsevier, vol. 212(C), pages 1069-1082.
  26. Lorenzo Villani & Luca Gugliermetti & Maria Antonia Barucco & Federico Cinquepalmi, 2025. "A Digital Twin Framework to Improve Urban Sustainability and Resiliency: The Case Study of Venice," Land, MDPI, vol. 14(1), pages 1-46, January.
  27. Baldi, Simone & Zhang, Fan & Le Quang, Thuan & Endel, Petr & Holub, Ondrej, 2019. "Passive versus active learning in operation and adaptive maintenance of Heating, Ventilation, and Air Conditioning," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
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