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Research on automatic diagnosis and optimal control of faults in housing heating systems

  
Feb 05, 2025

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Kerimray, A., Rojas-Solórzano, L., Torkmahalleh, M. A., Hopke, P. K., & Gallachóir, B. P. Ó. (2017). Coal use for residential heating: patterns, health implications and lessons learned. Energy for Sustainable Development, 40, 19-30. KerimrayA.Rojas-SolórzanoL.TorkmahallehM. A.HopkeP. K. & GallachóirB. P. Ó. (2017). Coal use for residential heating: patterns, health implications and lessons learned. Energy for Sustainable Development, 40, 19-30. Search in Google Scholar

Willem, H., Lin, Y., & Lekov, A. (2017). Review of energy efficiency and system performance of residential heat pump water heaters. Energy and Buildings, 143, 191-201. WillemH.LinY. & LekovA. (2017). Review of energy efficiency and system performance of residential heat pump water heaters. Energy and Buildings, 143, 191-201. Search in Google Scholar

Kim, R., Hong, Y., Choi, Y., & Yoon, S. (2021). System-level fouling detection of district heating substations using virtual-sensor-assisted building automation system. Energy, 227, 120515. KimR.HongY.ChoiY. & YoonS. (2021). System-level fouling detection of district heating substations using virtual-sensor-assisted building automation system. Energy, 227, 120515. Search in Google Scholar

Shahnazari, H., Mhaskar, P., House, J. M., & Salsbury, T. I. (2018). Heating, ventilation and air conditioning systems: Fault detection and isolation and safe parking. Computers & Chemical Engineering, 108, 139-151. ShahnazariH.MhaskarP.HouseJ. M. & SalsburyT. I. (2018). Heating, ventilation and air conditioning systems: Fault detection and isolation and safe parking. Computers & Chemical Engineering, 108, 139-151. Search in Google Scholar

Guelpa, E., & Verda, V. (2020). Automatic fouling detection in district heating substations: Methodology and tests. Applied Energy, 258, 114059. GuelpaE. & VerdaV. (2020). Automatic fouling detection in district heating substations: Methodology and tests. Applied Energy, 258, 114059. Search in Google Scholar

Guo, Y., Wang, J., Chen, H., Li, G., Liu, J., Xu, C., ... & Huang, Y. (2018). Machine learning-based thermal response time ahead energy demand prediction for building heating systems. Applied energy, 221, 16-27. GuoY.WangJ.ChenH.LiG.LiuJ.XuC. ... & HuangY. (2018). Machine learning-based thermal response time ahead energy demand prediction for building heating systems. Applied energy, 221, 16-27. Search in Google Scholar

Xue, P., Jiang, Y., Zhou, Z., Chen, X., Fang, X., & Liu, J. (2019). Multi-step ahead forecasting of heat load in district heating systems using machine learning algorithms. Energy, 188, 116085. XueP.JiangY.ZhouZ.ChenX.FangX. & LiuJ. (2019). Multi-step ahead forecasting of heat load in district heating systems using machine learning algorithms. Energy, 188, 116085. Search in Google Scholar

Mirnaghi, M. S., & Haghighat, F. (2020). Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review. Energy and Buildings, 229, 110492. MirnaghiM. S. & HaghighatF. (2020). Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review. Energy and Buildings, 229, 110492. Search in Google Scholar

Bertelsen, N., & Vad Mathiesen, B. (2020). EU-28 residential heat supply and consumption: Historical development and status. Energies, 13(8), 1894. BertelsenN. & Vad MathiesenB. (2020). EU-28 residential heat supply and consumption: Historical development and status. Energies, 13(8), 1894. Search in Google Scholar

Poppi, S., Sommerfeldt, N., Bales, C., Madani, H., & Lundqvist, P. (2018). Techno-economic review of solar heat pump systems for residential heating applications. Renewable and Sustainable Energy Reviews, 81, 22-32. PoppiS.SommerfeldtN.BalesC.MadaniH. & LundqvistP. (2018). Techno-economic review of solar heat pump systems for residential heating applications. Renewable and Sustainable Energy Reviews, 81, 22-32. Search in Google Scholar

Li, Y., Wang, L., Xu, K., Zhang, S., Zheng, H., & Dong, X. (2022). Optimization study of a novel district heating system based on large temperature-difference heat exchange. Energy Conversion and Management, 258, 115517. LiY.WangL.XuK.ZhangS.ZhengH. & DongX. (2022). Optimization study of a novel district heating system based on large temperature-difference heat exchange. Energy Conversion and Management, 258, 115517. Search in Google Scholar

Renaldi, R., Kiprakis, A., & Friedrich, D. (2017). An optimisation framework for thermal energy storage integration in a residential heat pump heating system. Applied energy, 186, 520-529. RenaldiR.KiprakisA. & FriedrichD. (2017). An optimisation framework for thermal energy storage integration in a residential heat pump heating system. Applied energy, 186, 520-529. Search in Google Scholar

Wen, L., Tian, Z., Niu, J., Zhou, R., Zhang, Q., & Cao, Y. (2021). Comparison and selection of operation optimization mode of multi-energy and multi-level district heating system: Case study of a district heating system in Xiong’an. Journal of Cleaner Production, 279, 123620. WenL.TianZ.NiuJ.ZhouR.ZhangQ. & CaoY. (2021). Comparison and selection of operation optimization mode of multi-energy and multi-level district heating system: Case study of a district heating system in Xiong’an. Journal of Cleaner Production, 279, 123620. Search in Google Scholar

Liu, W., Bie, Y., Xu, T., Cichon, A., Królczyk, G., & Li, Z. (2022). Heat transfer enhancement of latent heat thermal energy storage in solar heating system: A state-of-the-art review. Journal of Energy Storage, 46, 103727. LiuW.BieY.XuT.CichonA.KrólczykG. & LiZ. (2022). Heat transfer enhancement of latent heat thermal energy storage in solar heating system: A state-of-the-art review. Journal of Energy Storage, 46, 103727. Search in Google Scholar

Yang, I. (2020). Optimization of operation times of a heating system in office building. Journal of Asian Architecture and Building Engineering, 19(4), 400-415. YangI. (2020). Optimization of operation times of a heating system in office building. Journal of Asian Architecture and Building Engineering, 19(4), 400-415. Search in Google Scholar

Sun, C., Zhang, H., Cao, S., Xia, G., Zhong, J., & Wu, X. (2023). A hierarchical classifying and two-step training strategy for detection and diagnosis of anormal temperature in district heating system. Applied Energy, 349, 121731. SunC.ZhangH.CaoS.XiaG.ZhongJ. & WuX. (2023). A hierarchical classifying and two-step training strategy for detection and diagnosis of anormal temperature in district heating system. Applied Energy, 349, 121731. Search in Google Scholar

Li, M., Deng, W., Xiahou, K., Ji, T., & Wu, Q. (2020). A data-driven method for fault detection and isolation of the integrated energy-based district heating system. IEEE Access, 8, 23787-23801. LiM.DengW.XiahouK.JiT. & WuQ. (2020). A data-driven method for fault detection and isolation of the integrated energy-based district heating system. IEEE Access, 8, 23787-23801. Search in Google Scholar

Østergaard, D. S., Paulsen, O., Sørensen, I. B., & Svendsen, S. (2019). Test and evaluation of a method to identify heating system malfunctions by using information from electronic heat cost allocators. Energy and Buildings, 184, 152-162. ØstergaardD. S.PaulsenO.SørensenI. B. & SvendsenS. (2019). Test and evaluation of a method to identify heating system malfunctions by using information from electronic heat cost allocators. Energy and Buildings, 184, 152-162. Search in Google Scholar

Li, G., Yao, Q., Fan, C., Zhou, C., Wu, G., Zhou, Z., & Fang, X. (2021). An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems. Building and Environment, 203, 108057. LiG.YaoQ.FanC.ZhouC.WuG.ZhouZ. & FangX. (2021). An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems. Building and Environment, 203, 108057. Search in Google Scholar

Guo, Y., Tan, Z., Chen, H., Li, G., Wang, J., Huang, R., ... & Ahmad, T. (2018). Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving. Applied Energy, 225, 732-745. GuoY.TanZ.ChenH.LiG.WangJ.HuangR. ... & AhmadT. (2018). Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving. Applied Energy, 225, 732-745. Search in Google Scholar

Xue, P., Zhou, Z., Fang, X., Chen, X., Liu, L., Liu, Y., & Liu, J. (2017). Fault detection and operation optimization in district heating substations based on data mining techniques. Applied energy, 205, 926-940. XueP.ZhouZ.FangX.ChenX.LiuL.LiuY. & LiuJ. (2017). Fault detection and operation optimization in district heating substations based on data mining techniques. Applied energy, 205, 926-940. Search in Google Scholar

Rogers, A. P., Guo, F., & Rasmussen, B. P. (2019). A review of fault detection and diagnosis methods for residential air conditioning systems. Building and Environment, 161, 106236. RogersA. P.GuoF. & RasmussenB. P. (2019). A review of fault detection and diagnosis methods for residential air conditioning systems. Building and Environment, 161, 106236. Search in Google Scholar

Lu, M., Zhang, C., Zhang, D., Wang, R., Zhou, Z., Zhan, C., ... & Jing, Q. (2021). Operational optimization of district heating system based on an integrated model in TRNSYS. Energy and Buildings, 230, 110538. LuM.ZhangC.ZhangD.WangR.ZhouZ.ZhanC. ... & JingQ. (2021). Operational optimization of district heating system based on an integrated model in TRNSYS. Energy and Buildings, 230, 110538. Search in Google Scholar

Sameti, M., & Haghighat, F. (2019). Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power. Renewable Energy, 130, 371-387. SametiM. & HaghighatF. (2019). Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power. Renewable Energy, 130, 371-387. Search in Google Scholar

Ling, J., Tong, H., Xing, J., & Zhao, Y. (2020). Simulation and optimization of the operation strategy of ASHP heating system: A case study in Tianjin. Energy and Buildings, 226, 110349. LingJ.TongH.XingJ. & ZhaoY. (2020). Simulation and optimization of the operation strategy of ASHP heating system: A case study in Tianjin. Energy and Buildings, 226, 110349. Search in Google Scholar

Fang, C., Xu, Q., Wang, S., & Ruan, Y. (2018). Operation optimization of heat pump in compound heating system. Energy Procedia, 152, 45-50. FangC.XuQ.WangS. & RuanY. (2018). Operation optimization of heat pump in compound heating system. Energy Procedia, 152, 45-50. Search in Google Scholar

Chen, Q., Li, N., & Feng, W. (2021). Model predictive control optimization for rapid response and energy efficiency based on the state-space model of a radiant floor heating system. Energy and Buildings, 238, 110832. ChenQ.LiN. & FengW. (2021). Model predictive control optimization for rapid response and energy efficiency based on the state-space model of a radiant floor heating system. Energy and Buildings, 238, 110832. Search in Google Scholar

Wang, G., Feng, G., Li, X., Li, H., & Wang, T. (2023). Design optimization integrating energy, economic, and environmental evaluation of a hybrid solar heating system for detached buildings in rural China. Journal of Building Engineering, 73, 106692. WangG.FengG.LiX.LiH. & WangT. (2023). Design optimization integrating energy, economic, and environmental evaluation of a hybrid solar heating system for detached buildings in rural China. Journal of Building Engineering, 73, 106692. Search in Google Scholar

Mehmet Berk Karasu,İhsan Yanıkoğlu,Aykut Aykut,Duygu Ay & İhsancan Özpoyraz. (2024). Thermal request optimization of a smart district heating system. Energy & Buildings114841-114841. KarasuMehmet BerkYanıkoğluİhsanAykutAykutAyDuygu & Özpoyrazİhsancan. (2024). Thermal request optimization of a smart district heating system. Energy & Buildings114841-114841. Search in Google Scholar

Ji Guanggang,Zhang Lidong,Shan Mingyang & Zhang Jiwei. (2023). Enhanced variable universe fuzzy PID control of the active suspension based on expansion factor parameters adaption and genetic algorithm. Engineering Research Express(3). GuanggangJiLidongZhangMingyangShan & JiweiZhang. (2023). Enhanced variable universe fuzzy PID control of the active suspension based on expansion factor parameters adaption and genetic algorithm. Engineering Research Express(3). Search in Google Scholar

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