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The role of economic and policy variables in energy-efficient retrofitting assessment. A stochastic Life Cycle Costing methodology

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  • Baldoni, Edoardo
  • Coderoni, Silvia
  • D'Orazio, Marco
  • Di Giuseppe, Elisa
  • Esposti, Roberto

Abstract

Energy saving is a major policy objective worldwide and in the EU in particular. Evaluating the convenience of energy-efficient investments, however, is complex. This paper aims to apply stochastic Life Cycle Costing to assess the economic value of energy-efficient building retrofitting investments. The proposed approach investigates how macroeconomic variables affect such an evaluation by explicitly taking into account their interdependent stochastic nature. Consequently, the economic evaluation of an investment is itself stochastic thus expressing both its expected value and its inherent uncertainty and risk. On this basis, an illustrative case-study is presented, where alternative designs of the energy-saving intervention are compared and a sensitivity analysis performed to identify the determinants of the LCC outcome and of its variability. In terms of policy implications, a tool providing a sounder evaluation of the convenience of such investments can suggest when and to what extent incentives may be appropriate to facilitate these investments and what possible financial instruments could be put forward in order to reduce the associated risk.

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  • Baldoni, Edoardo & Coderoni, Silvia & D'Orazio, Marco & Di Giuseppe, Elisa & Esposti, Roberto, 2019. "The role of economic and policy variables in energy-efficient retrofitting assessment. A stochastic Life Cycle Costing methodology," Energy Policy, Elsevier, vol. 129(C), pages 1207-1219.
  • Handle: RePEc:eee:enepol:v:129:y:2019:i:c:p:1207-1219
    DOI: 10.1016/j.enpol.2019.03.018
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    1. Morrissey, J. & Meyrick, B. & Sivaraman, D. & Horne, R.E. & Berry, M., 2013. "Cost-benefit assessment of energy efficiency investments: Accounting for future resources, savings and risks in the Australian residential sector," Energy Policy, Elsevier, vol. 54(C), pages 148-159.
    2. Ben S. Bernanke & Mark Gertler & Mark Watson, 1997. "Systematic Monetary Policy and the Effects of Oil Price Shocks," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1), pages 91-157.
    3. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    4. Copiello, Sergio & Gabrielli, Laura & Bonifaci, Pietro, 2017. "Evaluation of energy retrofit in buildings under conditions of uncertainty: The prominence of the discount rate," Energy, Elsevier, vol. 137(C), pages 104-117.
    5. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2007. "Assessing Structural VARs," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 1-106, National Bureau of Economic Research, Inc.
    6. Burman, Esfand & Mumovic, Dejan & Kimpian, Judit, 2014. "Towards measurement and verification of energy performance under the framework of the European directive for energy performance of buildings," Energy, Elsevier, vol. 77(C), pages 153-163.
    7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    8. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2018. "On DSGE Models," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 113-140, Summer.
    9. Delmastro, Chiara & Mutani, Guglielmina & Corgnati, Stefano Paolo, 2016. "A supporting method for selecting cost-optimal energy retrofit policies for residential buildings at the urban scale," Energy Policy, Elsevier, vol. 99(C), pages 42-56.
    10. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    11. Thalfeldt, Martin & Pikas, Ergo & Kurnitski, Jarek & Voll, Hendrik, 2017. "Window model and 5 year price data sensitivity to cost-effective façade solutions for office buildings in Estonia," Energy, Elsevier, vol. 135(C), pages 685-697.
    12. 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.
    13. Ouyang, Jinlong & Ge, Jian & Hokao, Kazunori, 2009. "Economic analysis of energy-saving renovation measures for urban existing residential buildings in China based on thermal simulation and site investigation," Energy Policy, Elsevier, vol. 37(1), pages 140-149, January.
    14. Hamilton, James D & Herrera, Ana Maria, 2004. "Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy: Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 265-286, April.
    15. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, September.
    16. Roux, Charlotte & Schalbart, Patrick & Assoumou, Edi & Peuportier, Bruno, 2016. "Integrating climate change and energy mix scenarios in LCA of buildings and districts," Applied Energy, Elsevier, vol. 184(C), pages 619-629.
    17. David Pearce & Ben Groom & Cameron Hepburn & Phoebe Koundouri, 2003. "Valuing the Future," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 4(2), pages 121-141, April.
    18. Maria Ferrara & Valentina Monetti & Enrico Fabrizio, 2018. "Cost-Optimal Analysis for Nearly Zero Energy Buildings Design and Optimization: A Critical Review," Energies, MDPI, vol. 11(6), pages 1-32, June.
    19. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    20. Vu, Tuan Khai & Nakata, Hayato, 2018. "Oil price fluctuations and the small open economies of Southeast Asia: An analysis using vector autoregression with block exogeneity," Journal of Asian Economics, Elsevier, vol. 54(C), pages 1-21.
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    Cited by:

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    2. Postacchini, Matteo & Di Giuseppe, Elisa & Eusebi, Anna Laura & Pelagalli, Leonardo & Darvini, Giovanna & Cipolletta, Giulia & Fatone, Francesco, 2022. "Energy saving from small-sized urban contexts: Integrated application into the domestic water cycle," Renewable Energy, Elsevier, vol. 199(C), pages 1300-1317.
    3. Junjun Zheng & Mingmiao Yang & Gang Ma & Qian Xu & Yujie He, 2020. "Multi-Agents-Based Modeling and Simulation for Carbon Permits Trading in China: A Regional Development Perspective," IJERPH, MDPI, vol. 17(1), pages 1-20, January.
    4. Edoardo Baldoni & Silvia Coderoni & Elisa Di Giuseppe & Marco D’Orazio & Roberto Esposti & Gianluca Maracchini, 2021. "A Software Tool for a Stochastic Life Cycle Assessment and Costing of Buildings’ Energy Efficiency Measures," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    5. Cremer, Leo & Weber, Christine, 2022. "Deep energy retrofits: How effective and robust are policy instruments?," Energy Policy, Elsevier, vol. 170(C).
    6. Elisa Di Giuseppe & Marco D’Orazio & Guangli Du & Claudio Favi & Sébastien Lasvaux & Gianluca Maracchini & Pierryves Padey, 2020. "A Stochastic Approach to LCA of Internal Insulation Solutions for Historic Buildings," Sustainability, MDPI, vol. 12(4), pages 1-35, February.
    7. Haonan Zhang, 2023. "Leveraging policy instruments and financial incentives to reduce embodied carbon in energy retrofits," Papers 2304.03403, arXiv.org.
    8. Boldyryev, Stanislav & Gil, Tatyana & Ilchenko, Mariia, 2022. "Environmental and economic assessment of the efficiency of heat exchanger network retrofit options based on the experience of society and energy price records," Energy, Elsevier, vol. 260(C).
    9. Xiaolin Yang & Zhuoxi Chen & Yukai Zou & Fengdeng Wan, 2023. "Improving the Energy Performance and Economic Benefits of Aged Residential Buildings by Retrofitting in Hot–Humid Regions of China," Energies, MDPI, vol. 16(13), pages 1-21, June.
    10. Paulo Afonso & Vishad Vyas & Ana Antunes & Sérgio Silva & Boris P. J. Bret, 2021. "A Stochastic Approach for Product Costing in Manufacturing Processes," Mathematics, MDPI, vol. 9(18), pages 1-23, September.
    11. Antonio Artino & Riccardo Caponetto & Gianpiero Evola & Giuseppe Margani & Edoardo Michele Marino & Emanuele Murgano, 2020. "Decision Support System for the Sustainable Seismic and Energy Renovation of Buildings: Methodological Layout," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    12. Dongri Han & Tuochen Li & Shaosong Feng & Ziyi Shi, 2020. "Application of Threshold Regression Analysis to Study the Impact of Clean Energy Development on China’s Carbon Productivity," IJERPH, MDPI, vol. 17(3), pages 1-16, February.

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    More about this item

    Keywords

    LCC; Life cycle costing; VAR; Vector autoregression; Sensitivity analysis; Energy efficiency policy;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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