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Sensitivity analysis of building energy retrofits

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  • Gustafsson, Stig-Inge

Abstract

When a building is refurbished, energy conservation measures might be profitable to implement. The profitability depends, among other things, on the electricity and district-heating tariffs, the unit price for oil, etc. The cost for the retrofit is of course also important as well as the influence of the retrofit on the demand for heat in the building. By the use of a Mixed Integer Linear Programming model of a building, a number of different optimal retrofit strategies are found depending on the energy cost. The result shows that the Life-Cycle Cost for the building is subject only to small changes as long as the optimal strategies are chosen. Most important is the heating system, while building retrofits such as added insulation, are too expensive to take part in the optimal solution.

Suggested Citation

  • Gustafsson, Stig-Inge, 1998. "Sensitivity analysis of building energy retrofits," Applied Energy, Elsevier, vol. 61(1), pages 13-23, September.
    • Handle: RePEc:eee:appene:v:61:y:1998:i:1:p:13-23
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    References listed on IDEAS

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    1. Gustafsson, S.I. & Bojic, M., 1997. "Optimal heating-system retrofits in residential buildings," Energy, Elsevier, vol. 22(9), pages 867-874.
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    Cited by:

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    2. Waqas Ahmed Mahar & Griet Verbeeck & Sigrid Reiter & Shady Attia, 2020. "Sensitivity Analysis of Passive Design Strategies for Residential Buildings in Cold Semi-Arid Climates," Sustainability, MDPI, vol. 12(3), pages 1-22, February.
    3. Wu, Zhou & Wang, Bo & Xia, Xiaohua, 2016. "Large-scale building energy efficiency retrofit: Concept, model and control," Energy, Elsevier, vol. 109(C), pages 456-465.
    4. Tian, Wei, 2013. "A review of sensitivity analysis methods in building energy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 411-419.
    5. Pang, Zhihong & O'Neill, Zheng, 2018. "Uncertainty quantification and sensitivity analysis of the domestic hot water usage in hotels," Applied Energy, Elsevier, vol. 232(C), pages 424-442.
    6. Mechri, Houcem Eddine & Capozzoli, Alfonso & Corrado, Vincenzo, 2010. "USE of the ANOVA approach for sensitive building energy design," Applied Energy, Elsevier, vol. 87(10), pages 3073-3083, October.
    7. Yokoyama, Ryohei & Nakamura, Ryo & Wakui, Tetsuya, 2017. "Performance comparison of energy supply systems under uncertain energy demands based on a mixed-integer linear model," Energy, Elsevier, vol. 137(C), pages 878-887.
    8. Lee, P. & Lam, P.T.I. & Lee, W.L. & Chan, E.H.W., 2016. "Analysis of an air-cooled chiller replacement project using a probabilistic approach for energy performance contracts," Applied Energy, Elsevier, vol. 171(C), pages 415-428.
    9. Athanasia Apostolopoulou & Mingyu Zhu & Jiayi Jin, 2023. "Parametric Assessment of Building Heating Demand for Different Levels of Details and User Comfort Levels: A Case Study in London, UK," Sustainability, MDPI, vol. 15(10), pages 1-29, May.
    10. Yildiz, Yusuf & Korkmaz, Koray & Göksal Özbalta, Türkan & Durmus Arsan, Zeynep, 2012. "An approach for developing sensitive design parameter guidelines to reduce the energy requirements of low-rise apartment buildings," Applied Energy, Elsevier, vol. 93(C), pages 337-347.

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