Implementation of a strategy for low-temperature operation of radiator systems using data from existing digital heat cost allocators
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DOI: 10.1016/j.energy.2022.123844
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Cited by:
- Pothof, I. & Vreeken, D. & Meerkerk, M. van, 2023. "Data-driven method for optimized supply temperatures in residential buildings," Energy, Elsevier, vol. 284(C).
- Wang, Haichao & Zhou, Yang & Li, Xiangli & Wu, Xiaozhou & Wang, Hai & Elnaz, Abdollahi & Granlund, Katja & Lahdelma, Risto & Teppo, Esa, 2023. "Study on the performance of a forced convection low temperature radiator for district heating," Energy, Elsevier, vol. 283(C).
- Tunzi, Michele & Benakopoulos, Theofanis & Yang, Qinjiang & Svendsen, Svend, 2023. "Demand side digitalisation: A methodology using heat cost allocators and energy meters to secure low-temperature operations in existing buildings connected to district heating networks," Energy, Elsevier, vol. 264(C).
- Tomasz Cholewa & Alicja Siuta-Olcha & Anna Życzyńska & Aleksandra Specjał & Paweł Michnikowski, 2023. "On the Minimum and Maximum Variable Cost of Heating of the Flat in Multifamily Building," Energies, MDPI, vol. 16(2), pages 1-18, January.
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Keywords
Low-temperature district heating; Digitalisation of heating systems; Minimum supply temperature; Control of radiator systems; Error detection;All these keywords.
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