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Heat metering for residential buildings: A novel approach through dynamic simulations for the calculation of energy and economic savings

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  • Calise, F.
  • Cappiello, F.
  • D'Agostino, D.
  • Vicidomini, M.

Abstract

This paper proposes a novel approach in order to accurately calculate the savings due to heat metering. The approach is based on a detailed dynamic simulation of building-plant systems. The building is geometrically modelled in Google Sketchup and linked to the TRNSYS environment, including an extremely detailed model for the simulation of building thermo-physical behavior. All the models are validated using the data provided by the occupants. The model allows one to evaluate the yearly energy demand, energy supplied by radiators, heat gains, etc. A specific case study is developed for a residential building located in Naples (South Italy). The developed model is used to calculate the building energy demand for 3 scenarios: centralized heating system not equipped with heat metering; centralized heating system with thermostatic valves and not equipped with heat metering; centralized heating system with thermostatic valves and equipped with heat metering. Results show that in case of centralized heating systems equipped with thermostatic valves and heat metering devices, thermal energy savings up to 64% can be reached mainly when the system operates for many hours per day, leading to discounted pay back periods lower than 4 years.

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  • 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).
    • Handle: RePEc:eee:energy:v:234:y:2021:i:c:s0360544221014523
    DOI: 10.1016/j.energy.2021.121204
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    References listed on IDEAS

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    1. Buonomano, Annamaria & Calise, Francesco & Palombo, Adolfo & Vicidomini, Maria, 2016. "BIPVT systems for residential applications: An energy and economic analysis for European climates," Applied Energy, Elsevier, vol. 184(C), pages 1411-1431.
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    4. Buonomano, Annamaria & Calise, Francesco & Palombo, Adolfo & Vicidomini, Maria, 2019. "Transient analysis, exergy and thermo-economic modelling of façade integrated photovoltaic/thermal solar collectors," Renewable Energy, Elsevier, vol. 137(C), pages 109-126.
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    8. Buonomano, Annamaria & Calise, Francesco & Ferruzzi, Gabriele, 2013. "Thermoeconomic analysis of storage systems for solar heating and cooling systems: A comparison between variable-volume and fixed-volume tanks," Energy, Elsevier, vol. 59(C), pages 600-616.
    9. Jung, Wooyoung & Jazizadeh, Farrokh, 2019. "Human-in-the-loop HVAC operations: A quantitative review on occupancy, comfort, and energy-efficiency dimensions," Applied Energy, Elsevier, vol. 239(C), pages 1471-1508.
    10. Buonomano, Annamaria & Calise, Francesco & Palombo, Adolfo & Vicidomini, Maria, 2015. "Energy and economic analysis of geothermal–solar trigeneration systems: A case study for a hotel building in Ischia," Applied Energy, Elsevier, vol. 138(C), pages 224-241.
    11. Siggelsten, Simon & Olander, Stefan, 2013. "Individual metering and charging of heat and hot water in Swedish housing cooperatives," Energy Policy, Elsevier, vol. 61(C), pages 874-880.
    12. Buonomano, Annamaria & Calise, Francesco & Ferruzzi, Gabriele & Palombo, Adolfo, 2014. "Dynamic energy performance analysis: Case study for energy efficiency retrofits of hospital buildings," Energy, Elsevier, vol. 78(C), pages 555-572.
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    Cited by:

    1. He, Xianya & Huang, Jingzhi & Liu, Zekun & Lin, Jian & Jing, Rui & Zhao, Yingru, 2023. "Topology optimization of thermally activated building system in high-rise building," Energy, Elsevier, vol. 284(C).
    2. 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.
    3. Calise, Francesco & Cappiello, Francesco Liberato & Cimmino, Luca & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2023. "A comparative thermoeconomic analysis of fourth generation and fifth generation district heating and cooling networks," Energy, Elsevier, vol. 284(C).
    4. 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.
    5. Rashad, Magdi & Żabnieńska-Góra, Alina & Norman, Les & Jouhara, Hussam, 2022. "Analysis of energy demand in a residential building using TRNSYS," Energy, Elsevier, vol. 254(PB).

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