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A Bottom-Up Building Stock Model for Tracking Regional Energy Targets—A Case Study of Kočevje

Author

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  • Marjana Šijanec Zavrl

    (Building and Civil Engineering Institute ZRMK, Dimičeva 12, 1000 Ljubljana, Slovenia
    European Faculty of Law, Cankarjevo nabrežje 11, 1000 Ljubljana, Slovenia)

  • Gašper Stegnar

    (Building and Civil Engineering Institute ZRMK, Dimičeva 12, 1000 Ljubljana, Slovenia)

  • Andraž Rakušček

    (Building and Civil Engineering Institute ZRMK, Dimičeva 12, 1000 Ljubljana, Slovenia)

  • Henrik Gjerkeš

    (Building and Civil Engineering Institute ZRMK, Dimičeva 12, 1000 Ljubljana, Slovenia
    Centre for Systems and Information Technologies, University of Nova Gorica, Vipavska 13, 5000 Nova Gorica, Slovenia)

Abstract

The paper addresses the development of a bottom-up building stock energy model (BuilS) for identification of the building stock renovation potential by considering energy performance of individual buildings through cross-linked data from various public available databases. The model enables integration of various EE and RES measures on the building stock to demonstrate long-term economic and environmental effects of different building stock refurbishment strategies. In the presented case study, the BuilS model was applied in the Kočevje city area and validated using the measured energy consumption of the buildings connected to the city district heating system. Three strategies for improving the building stock in Kočevje towards a more sustainable one are presented with their impact on energy use and CO 2 emission projections up to 2030. It is demonstrated that the BuilS bottom-up model enables the setting of a correct baseline regarding energy use of the existing building stock and that such a model is a powerful tool for design and validation of the building stock renovation strategies. It is also shown that the accuracy of the model depends on available information on local resources and local needs, therefore acceleration of the building stock monitoring on the level of each building and continually upgrading of databases with building renovation information is of the utmost importance.

Suggested Citation

  • Marjana Šijanec Zavrl & Gašper Stegnar & Andraž Rakušček & Henrik Gjerkeš, 2016. "A Bottom-Up Building Stock Model for Tracking Regional Energy Targets—A Case Study of Kočevje," Sustainability, MDPI, vol. 8(10), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:10:p:1063-:d:81123
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    References listed on IDEAS

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    1. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    2. Caputo, Paola & Costa, Gaia & Ferrari, Simone, 2013. "A supporting method for defining energy strategies in the building sector at urban scale," Energy Policy, Elsevier, vol. 55(C), pages 261-270.
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    Cited by:

    1. Mikael Mangold & Magnus Österbring & Conny Overland & Tim Johansson & Holger Wallbaum, 2018. "Building Ownership, Renovation Investments, and Energy Performance—A Study of Multi-Family Dwellings in Gothenburg," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    2. Ye, Zhongnan & Cheng, Kuangly & Hsu, Shu-Chien & Wei, Hsi-Hsien & Cheung, Clara Man, 2021. "Identifying critical building-oriented features in city-block-level building energy consumption: A data-driven machine learning approach," Applied Energy, Elsevier, vol. 301(C).
    3. Joanne Louise Patterson, 2016. "Evaluation of a Regional Retrofit Programme to Upgrade Existing Housing Stock to Reduce Carbon Emissions, Fuel Poverty and Support the Local Supply Chain," Sustainability, MDPI, vol. 8(12), pages 1-21, December.

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