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Assessing the Cost-Effectiveness of Incentives for Energy Transition Using Marginal Abatement Cost Curves

Author

Listed:
  • Sofia Billi

    (Institute for Renewable Energy, Eurac Research, Viale Druso 1, 39100 Bolzano, Italy)

  • Matteo Giacomo Prina

    (Institute for Renewable Energy, Eurac Research, Viale Druso 1, 39100 Bolzano, Italy)

  • Marco Castagna

    (Institute for Renewable Energy, Eurac Research, Viale Druso 1, 39100 Bolzano, Italy)

  • Wolfram Sparber

    (Institute for Renewable Energy, Eurac Research, Viale Druso 1, 39100 Bolzano, Italy)

Abstract

Incentive policies play a crucial role in encouraging the adoption of renewable energy sources and energy efficiency measures. This study analyzes and compares the incentives for energy transition in the South Tyrol region of Italy using a marginal abatement cost (MAC) curve constructed with an expert-based approach. The incentives for residential energy efficiency, mobility, and boiler replacement are characterized based on assumptions for costs, energy savings, and parameters. The resulting expert-based MAC curve analysis reveals boiler replacement incentives to be the most cost-effective, yielding CO 2 reductions at the lowest cost but with limited potential as the incentive is limited to apartment blocks that are not in district heating areas. Mobility incentives enabling electric vehicle adoption have the highest CO 2 reduction potential, albeit at higher costs per ton abated. Residential energy efficiency incentives fall between the two for cost-effectiveness and potential. The MAC curve approach provides a useful comparison of cost-effectiveness versus potential, guiding policy prioritization. This techno-economic assessment methodology can be applied to other regions pursuing energy transition. Overall, a balanced policy mix encompassing transport, buildings, and heating is required for comprehensive low-carbon transition.

Suggested Citation

  • Sofia Billi & Matteo Giacomo Prina & Marco Castagna & Wolfram Sparber, 2023. "Assessing the Cost-Effectiveness of Incentives for Energy Transition Using Marginal Abatement Cost Curves," Energies, MDPI, vol. 16(21), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7412-:d:1273262
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    References listed on IDEAS

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    1. Chapman, Andrew J. & McLellan, Benjamin & Tezuka, Tetsuo, 2016. "Residential solar PV policy: An analysis of impacts, successes and failures in the Australian case," Renewable Energy, Elsevier, vol. 86(C), pages 1265-1279.
    2. Pollitt, Michael G., 2012. "The role of policy in energy transitions: Lessons from the energy liberalisation era," Energy Policy, Elsevier, vol. 50(C), pages 128-137.
    3. Schmid, Gisèle, 2012. "The development of renewable energy power in India: Which policies have been effective?," Energy Policy, Elsevier, vol. 45(C), pages 317-326.
    4. Andrea Herbst & Felipe Andrés Toro & Felix Reitze & Eberhard Jochem, 2012. "Introduction to Energy Systems Modelling," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 111-135, June.
    5. Zhang, ZhongXiang & Folmer, Henk, 1998. "Economic modelling approaches to cost estimates for the control of carbon dioxide emissions1," Energy Economics, Elsevier, vol. 20(1), pages 101-120, February.
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