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Heat load patterns in district heating substations

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  1. Turski, Michał & Nogaj, Kinga & Sekret, Robert, 2019. "The use of a PCM heat accumulator to improve the efficiency of the district heating substation," Energy, Elsevier, vol. 187(C).
  2. Liew, Peng Yen & Theo, Wai Lip & Wan Alwi, Sharifah Rafidah & Lim, Jeng Shiun & Abdul Manan, Zainuddin & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2017. "Total Site Heat Integration planning and design for industrial, urban and renewable systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 964-985.
  3. Aleksander Skała & Jakub Grela & Dominik Latoń & Katarzyna Bańczyk & Michał Markiewicz & Andrzej Ożadowicz, 2023. "Implementation of Building a Thermal Model to Improve Energy Efficiency of the Central Heating System—A Case Study," Energies, MDPI, vol. 16(19), pages 1-27, September.
  4. Pereverza, Kateryna & Pasichnyi, Oleksii & Lazarevic, David & Kordas, Olga, 2017. "Strategic planning for sustainable heating in cities: A morphological method for scenario development and selection," Applied Energy, Elsevier, vol. 186(P2), pages 115-125.
  5. Yunbo Yang & Rongling Li & Tao Huang, 2020. "Smart Meter Data Analysis of a Building Cluster for Heating Load Profile Quantification and Peak Load Shifting," Energies, MDPI, vol. 13(17), pages 1-20, August.
  6. Kim, Ryunhee & Hong, Yejin & Choi, Youngwoong & Yoon, Sungmin, 2021. "System-level fouling detection of district heating substations using virtual-sensor-assisted building automation system," Energy, Elsevier, vol. 227(C).
  7. Kaisa Kontu & Jussi Vimpari & Petri Penttinen & Seppo Junnila, 2018. "City Scale Demand Side Management in Three Different-Sized District Heating Systems," Energies, MDPI, vol. 11(12), pages 1-18, December.
  8. Liu, Guoqiang & Zhou, Xuan & Yan, Junwei & Yan, Gang, 2021. "A temperature and time-sharing dynamic control approach for space heating of buildings in district heating system," Energy, Elsevier, vol. 221(C).
  9. Marco Pellegrini & Augusto Bianchini, 2018. "The Innovative Concept of Cold District Heating Networks: A Literature Review," Energies, MDPI, vol. 11(1), pages 1-16, January.
  10. Averfalk, Helge & Werner, Sven, 2018. "Novel low temperature heat distribution technology," Energy, Elsevier, vol. 145(C), pages 526-539.
  11. Mazhar, Abdur Rehman & Liu, Shuli & Shukla, Ashish, 2018. "A state of art review on the district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 420-439.
  12. Hong, Yejin & Yoon, Sungmin, 2022. "Holistic Operational Signatures for an energy-efficient district heating substation in buildings," Energy, Elsevier, vol. 250(C).
  13. Kiluk, S., 2014. "Dynamic classification system in large-scale supervision of energy efficiency in buildings," Applied Energy, Elsevier, vol. 132(C), pages 1-14.
  14. Østergaard, Dorte Skaarup & Svendsen, Svend, 2018. "Experience from a practical test of low-temperature district heating for space heating in five Danish single-family houses from the 1930s," Energy, Elsevier, vol. 159(C), pages 569-578.
  15. Wang, Peng & Sipilä, Kari, 2016. "Energy-consumption and economic analysis of group and building substation systems — A case study of the reformation of the district heating system in China," Renewable Energy, Elsevier, vol. 87(P3), pages 1139-1147.
  16. Werner, Sven, 2017. "District heating and cooling in Sweden," Energy, Elsevier, vol. 126(C), pages 419-429.
  17. Wang, Weilong & Li, Hailong & Guo, Shaopeng & He, Shiquan & Ding, Jing & Yan, Jinyue & Yang, Jianping, 2015. "Numerical simulation study on discharging process of the direct-contact phase change energy storage system," Applied Energy, Elsevier, vol. 150(C), pages 61-68.
  18. Danica Djurić Ilić, 2020. "Classification of Measures for Dealing with District Heating Load Variations—A Systematic Review," Energies, MDPI, vol. 14(1), pages 1-27, December.
  19. Xue, Puning & Zhou, Zhigang & Fang, Xiumu & Chen, Xin & Liu, Lin & Liu, Yaowen & Liu, Jing, 2017. "Fault detection and operation optimization in district heating substations based on data mining techniques," Applied Energy, Elsevier, vol. 205(C), pages 926-940.
  20. Sara Månsson & Kristin Davidsson & Patrick Lauenburg & Marcus Thern, 2018. "Automated Statistical Methods for Fault Detection in District Heating Customer Installations," Energies, MDPI, vol. 12(1), pages 1-18, December.
  21. Fouladvand, Javanshir & Aranguren Rojas, Maria & Hoppe, Thomas & Ghorbani, Amineh, 2022. "Simulating thermal energy community formation: Institutional enablers outplaying technological choice," Applied Energy, Elsevier, vol. 306(PA).
  22. Shamshirband, Shahaboddin & Petković, Dalibor & Enayatifar, Rasul & Hanan Abdullah, Abdul & Marković, Dušan & Lee, Malrey & Ahmad, Rodina, 2015. "Heat load prediction in district heating systems with adaptive neuro-fuzzy method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 760-767.
  23. Ferrari, Simone & Zagarella, Federica & Caputo, Paola & D'Amico, Antonino, 2019. "Results of a literature review on methods for estimating buildings energy demand at district level," Energy, Elsevier, vol. 175(C), pages 1130-1137.
  24. Short, Michael & Crosbie, Tracey & Dawood, Muneeb & Dawood, Nashwan, 2017. "Load forecasting and dispatch optimisation for decentralised co-generation plant with dual energy storage," Applied Energy, Elsevier, vol. 186(P3), pages 304-320.
  25. Benakopoulos, Theofanis & Vergo, William & Tunzi, Michele & Salenbien, Robbe & Kolarik, Jakub & Svendsen, Svend, 2022. "Energy and cost savings with continuous low temperature heating versus intermittent heating of an office building with district heating," Energy, Elsevier, vol. 252(C).
  26. Cai, Hanmin & You, Shi & Wang, Jiawei & Bindner, Henrik W. & Klyapovskiy, Sergey, 2018. "Technical assessment of electric heat boosters in low-temperature district heating based on combined heat and power analysis," Energy, Elsevier, vol. 150(C), pages 938-949.
  27. Guelpa, Elisa & Deputato, Stefania & Verda, Vittorio, 2018. "Thermal request optimization in district heating networks using a clustering approach," Applied Energy, Elsevier, vol. 228(C), pages 608-617.
  28. Brange, Lisa & Englund, Jessica & Lauenburg, Patrick, 2016. "Prosumers in district heating networks – A Swedish case study," Applied Energy, Elsevier, vol. 164(C), pages 492-500.
  29. Uris, María & Linares, José Ignacio & Arenas, Eva, 2015. "Size optimization of a biomass-fired cogeneration plant CHP/CCHP (Combined heat and power/Combined heat, cooling and power) based on Organic Rankine Cycle for a district network in Spain," Energy, Elsevier, vol. 88(C), pages 935-945.
  30. Gadd, Henrik & Werner, Sven, 2015. "Fault detection in district heating substations," Applied Energy, Elsevier, vol. 157(C), pages 51-59.
  31. Zhang, Fan & Bales, Chris & Fleyeh, Hasan, 2021. "Night setback identification of district heat substations using bidirectional long short term memory with attention mechanism," Energy, Elsevier, vol. 224(C).
  32. Fang, Tingting & Lahdelma, Risto, 2015. "Genetic optimization of multi-plant heat production in district heating networks," Applied Energy, Elsevier, vol. 159(C), pages 610-619.
  33. Ma, Zhenjun & Yan, Rui & Nord, Natasa, 2017. "A variation focused cluster analysis strategy to identify typical daily heating load profiles of higher education buildings," Energy, Elsevier, vol. 134(C), pages 90-102.
  34. Volkova, Anna & Mašatin, Vladislav & Siirde, Andres, 2018. "Methodology for evaluating the transition process dynamics towards 4th generation district heating networks," Energy, Elsevier, vol. 150(C), pages 253-261.
  35. Simeoni, Patrizia & Ciotti, Gellio & Cottes, Mattia & Meneghetti, Antonella, 2019. "Integrating industrial waste heat recovery into sustainable smart energy systems," Energy, Elsevier, vol. 175(C), pages 941-951.
  36. Roberto Barrella & Irene Priego & José Ignacio Linares & Eva Arenas & José Carlos Romero & Efraim Centeno, 2020. "Feasibility Study of a Centralised Electrically Driven Air Source Heat Pump Water Heater to Face Energy Poverty in Block Dwellings in Madrid (Spain)," Energies, MDPI, vol. 13(11), pages 1-23, May.
  37. Neumayer, Martin & Stecher, Dominik & Grimm, Sebastian & Maier, Andreas & Bücker, Dominikus & Schmidt, Jochen, 2023. "Fault and anomaly detection in district heating substations: A survey on methodology and data sets," Energy, Elsevier, vol. 276(C).
  38. Calikus, Ece & Nowaczyk, Sławomir & Sant'Anna, Anita & Gadd, Henrik & Werner, Sven, 2019. "A data-driven approach for discovering heat load patterns in district heating," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  39. Fester, Jakob & Østergaard, Peter Friis & Bentsen, Fredrik & Nielsen, Brian Kongsgaard, 2023. "A data-driven method for heat loss estimation from district heating service pipes using heat meter- and GIS data," Energy, Elsevier, vol. 277(C).
  40. Xiaofeng Guo & Alain Pascal Goumba & Cheng Wang, 2019. "Comparison of Direct and Indirect Active Thermal Energy Storage Strategies for Large-Scale Solar Heating Systems," Energies, MDPI, vol. 12(10), pages 1-18, May.
  41. Østergaard, Dorte Skaarup & Svendsen, Svend, 2016. "Replacing critical radiators to increase the potential to use low-temperature district heating – A case study of 4 Danish single-family houses from the 1930s," Energy, Elsevier, vol. 110(C), pages 75-84.
  42. Østergaard, Dorte Skaarup & Tunzi, Michele & Svendsen, Svend, 2021. "What does a well-functioning heating system look like? Investigation of ten Danish buildings that utilize district heating efficiently," Energy, Elsevier, vol. 227(C).
  43. Antoine Reguis & Behrang Vand & John Currie, 2021. "Challenges for the Transition to Low-Temperature Heat in the UK: A Review," Energies, MDPI, vol. 14(21), pages 1-26, November.
  44. Triebs, Merlin Sebastian & Tsatsaronis, George, 2022. "From heat demand to heat supply: How to obtain more accurate feed-in time series for district heating systems," Applied Energy, Elsevier, vol. 311(C).
  45. Shuai Zhao & Huizhe Cao & Jiguang Zhu & Jinxiang Chen & Chein-Chi Chang, 2023. "A New Time-Series Fluctuation Study Method Applied to Flow and Pressure Data in a Heating Network," Energies, MDPI, vol. 16(6), pages 1-18, March.
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