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On the Minimum and Maximum Variable Cost of Heating of the Flat in Multifamily Building

Author

Listed:
  • Tomasz Cholewa

    (Faculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B, 20-618 Lublin, Poland)

  • Alicja Siuta-Olcha

    (Faculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B, 20-618 Lublin, Poland)

  • Anna Życzyńska

    (Faculty of Civil Engineering and Architecture, Lublin University of Technology, Nadbystrzycka 40, 20-618 Lublin, Poland)

  • Aleksandra Specjał

    (Department of Heating, Ventilation and Dust Removal Technology, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, Poland)

  • Paweł Michnikowski

    (Institute of Environmental Engineering and Building Installations, Lodz University of Technology, Al. Politechniki 6, 90-924 Lodz, Poland)

Abstract

Heat cost allocation is commonly used in existing buildings supplied by centralized sources of heating/cooling and provided with individual metering systems. However, this process is not always fair for the users, since “fairness” strongly depends on the methods established to allocate variable and fixed costs among the dwellings. That is why unrealistic cost for heating may be allocated for specific flats. However, there is a lack of evidence about procedures as to how maximum and minimum variable cost of heating may be calculated for specific flats in multifamily building for a specific heating season. This paper presents different methods for estimation of maximum and minimum variable cost of heating of flat in multifamily buildings, the use of which depends of the availability of input data for specific buildings. Evaluation of the proposed methods is made on the example of a case study multifamily building located in Poland. It was shown that the maximum variable costs of heat purchase for specific flats in the analyzed building were in the range from 169% to 256% of the average unit cost of heat, depending on the method used. The recommendation about the accuracy of proposed methods is also provided by the authors.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:995-:d:1037371
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    References listed on IDEAS

    as
    1. 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).
    2. Benakopoulos, Theofanis & Tunzi, Michele & Salenbien, Robbe & Hansen, Kasper Klan & Svendsen, Svend, 2022. "Implementation of a strategy for low-temperature operation of radiator systems using data from existing digital heat cost allocators," Energy, Elsevier, vol. 251(C).
    3. Calise, F. & Cappiello, F. & D'Agostino, D. & Vicidomini, M., 2021. "Heat metering for residential buildings: A novel approach through dynamic simulations for the calculation of energy and economic savings," Energy, Elsevier, vol. 234(C).
    4. Paweł Michnikowski & Tomasz Cholewa, 2021. "On the Use of Base Temperature by Heat Cost Allocation in Buildings," Energies, MDPI, vol. 14(19), pages 1-19, October.
    Full references (including those not matched with items on IDEAS)

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