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A two-factor method for appraising building renovation and energy efficiency improvement projects

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  • Martinaitis, Vytautas
  • Kazakevicius, Eduardas
  • Vitkauskas, Aloyzas

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  • Martinaitis, Vytautas & Kazakevicius, Eduardas & Vitkauskas, Aloyzas, 2007. "A two-factor method for appraising building renovation and energy efficiency improvement projects," Energy Policy, Elsevier, vol. 35(1), pages 192-201, January.
  • Handle: RePEc:eee:enepol:v:35:y:2007:i:1:p:192-201
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    References listed on IDEAS

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    1. Giannantoni, C. & Lazzaretto, A. & Macor, A. & Mirandola, A. & Stoppato, A. & Tonon, S. & Ulgiati, S., 2005. "Multicriteria approach for the improvement of energy systems design," Energy, Elsevier, vol. 30(10), pages 1989-2016.
    2. Herring, Horace, 1999. "Does energy efficiency save energy? The debate and its consequences," Applied Energy, Elsevier, vol. 63(3), pages 209-226, July.
    3. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    4. Haas, Reinhard & Biermayr, Peter, 2000. "The rebound effect for space heating Empirical evidence from Austria," Energy Policy, Elsevier, vol. 28(6-7), pages 403-410, June.
    5. Greening, Lorna A. & Bernow, Steve, 2004. "Design of coordinated energy and environmental policies: use of multi-criteria decision-making," Energy Policy, Elsevier, vol. 32(6), pages 721-735, April.
    6. Kazakevicius, Eduardas & Vitkauskas, Aloyzas & Mikkelsen, Svend Erik, 2002. "Lithuanian energy efficiency project," Energy Policy, Elsevier, vol. 30(7), pages 621-627, June.
    7. Steven E. Stoft, 1995. "The Economics of Conserved-Energy "Supply" Curves," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 109-137.
    8. Gieseler, U.D.J. & Heidt, F.D. & Bier, W., 2004. "Evaluation of the cost efficiency of an energy efficient building," Renewable Energy, Elsevier, vol. 29(3), pages 369-376.
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    1. Katerina Sojkova & Martin Volf & Antonin Lupisek & Roman Bolliger & Tomas Vachal, 2019. "Selection of Favourable Concept of Energy Retrofitting Solution for Social Housing in the Czech Republic Based on Economic Parameters, Greenhouse Gases, and Primary Energy Consumption," Sustainability, MDPI, vol. 11(22), pages 1-26, November.
    2. Nissen, Ulrich & Harfst, Nathanael, 2019. "Shortcomings of the traditional “levelized cost of energy” [LCOE] for the determination of grid parity," Energy, Elsevier, vol. 171(C), pages 1009-1016.
    3. Risholt, Birgit & Berker, Thomas, 2013. "Success for energy efficient renovation of dwellings—Learning from private homeowners," Energy Policy, Elsevier, vol. 61(C), pages 1022-1030.
    4. Morelli, Martin & Harrestrup, Maria & Svendsen, Svend, 2014. "Method for a component-based economic optimisation in design of whole building renovation versus demolishing and rebuilding," Energy Policy, Elsevier, vol. 65(C), pages 305-314.
    5. Eva Valeri & Amanda Stathopoulos & Edoardo Marcucci, 2012. "Energy Efficiency In The Transport Sector: Policy Evolution In Some European Countries," Working Papers 0312, CREI Università degli Studi Roma Tre, revised 2012.
    6. Diakaki, Christina & Grigoroudis, Evangelos & Kolokotsa, Dionyssia, 2013. "Performance study of a multi-objective mathematical programming modelling approach for energy decision-making in buildings," Energy, Elsevier, vol. 59(C), pages 534-542.
    7. Ballarini, Ilaria & Corrado, Vincenzo & Madonna, Francesco & Paduos, Simona & Ravasio, Franco, 2017. "Energy refurbishment of the Italian residential building stock: energy and cost analysis through the application of the building typology," Energy Policy, Elsevier, vol. 105(C), pages 148-160.
    8. Haolan Liao & Rong Ren & Lu Li, 2023. "Existing Building Renovation: A Review of Barriers to Economic and Environmental Benefits," IJERPH, MDPI, vol. 20(5), pages 1-23, February.
    9. He, Bao-jie & Yang, Li & Ye, Miao & Mou, Ben & Zhou, Yanan, 2014. "Overview of rural building energy efficiency in China," Energy Policy, Elsevier, vol. 69(C), pages 385-396.
    10. Pasquali, Andrea & Klinge Jacobsen, Henrik, 2019. "Construction of energy savings cost curves: An application for Denmark," MPRA Paper 93076, University Library of Munich, Germany.
    11. Ferreira, Joaquim & Pinheiro, Manuel Duarte & Brito, Jorge de, 2013. "Refurbishment decision support tools review—Energy and life cycle as key aspects to sustainable refurbishment projects," Energy Policy, Elsevier, vol. 62(C), pages 1453-1460.
    12. Jin Wei & Fangsi Yu & Haixiu Liang & Maohui Luo, 2020. "Thermal Performance of Vertical Courtyard System in Office Buildings Under Typical Hot Days in Hot-Humid Climate Area: A Case Study," Sustainability, MDPI, vol. 12(7), pages 1-14, March.
    13. Elias, Arun Abraham, 2008. "Energy efficiency in New Zealand's residential sector: A systemic analysis," Energy Policy, Elsevier, vol. 36(9), pages 3278-3285, September.
    14. Ntona, Eirini & Arabatzis, Garyfallos & Kyriakopoulos, Grigorios L., 2015. "Energy saving: Views and attitudes of students in secondary education," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 1-15.
    15. Diakaki, Christina & Grigoroudis, Evangelos & Kabelis, Nikos & Kolokotsa, Dionyssia & Kalaitzakis, Kostas & Stavrakakis, George, 2010. "A multi-objective decision model for the improvement of energy efficiency in buildings," Energy, Elsevier, vol. 35(12), pages 5483-5496.

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