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Approaching the Kyoto targets: a case study for Basilicata region (Italy)

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  • Salvia, M.
  • Pietrapertosa, F.
  • Cosmi, C.
  • Cuomo, V.
  • Macchiato, M.

Abstract

Approaching the national Kyoto Protocol (KP) targets involves a re-definition of the actual configuration of local energy systems. This study deals with a local scale application of the IEA-MARKAL models generator, in which the anthropogenic system of Basilicata Region (Southern Italy) is investigated to support the definition of coherent long-term strategies and sound climate protection policies. A scenario by scenario analysis points out the behaviour of the optimal mix of fuels and technologies in the presence of carbon dioxide emissions constraints. Trade off curves and reduced costs analyses outline the most effective actions for contributing to the national KP targets, with particular emphasis on the interventions in Civil (Residential, Commercial & Services) and waste management sectors.

Suggested Citation

  • Salvia, M. & Pietrapertosa, F. & Cosmi, C. & Cuomo, V. & Macchiato, M., 2004. "Approaching the Kyoto targets: a case study for Basilicata region (Italy)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(1), pages 73-90, February.
    • Handle: RePEc:eee:rensus:v:8:y:2004:i:1:p:73-90
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    1. Pietrapertosa, F. & Cosmi, C. & Macchiato, M. & Marmo, G. & Salvia, M., 2003. "Comprehensive modelling for approaching the Kyoto targets on a local scale," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(3), pages 249-270, June.
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    Cited by:

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    2. Johansson, R. & Meyer, S. & Whistance, J. & Thompson, W. & Debnath, D., 2020. "Greenhouse gas emission reduction and cost from the United States biofuels mandate," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    3. Cosmi, C. & Di Leo, S. & Loperte, S. & Macchiato, M. & Pietrapertosa, F. & Salvia, M. & Cuomo, V., 2009. "A model for representing the Italian energy system: The NEEDS-TIMES experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 763-776, May.
    4. Comodi, Gabriele & Cioccolanti, Luca & Polonara, Fabio & Brandoni, Caterina, 2012. "Local authorities in the context of energy and climate policy," Energy Policy, Elsevier, vol. 51(C), pages 737-748.
    5. Mirakyan, Atom & De Guio, Roland, 2013. "Integrated energy planning in cities and territories: A review of methods and tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 289-297.
    6. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    7. Mirakyan, Atom & Guio, R.D., 2014. "A methodology in innovative support of the integrated energy planning preparation and orientation phase," Energy, Elsevier, vol. 78(C), pages 916-927.
    8. Sandvall, Akram Fakhri & Börjesson, Martin & Ekvall, Tomas & Ahlgren, Erik O., 2015. "Modelling environmental and energy system impacts of large-scale excess heat utilisation – A regional case study," Energy, Elsevier, vol. 79(C), pages 68-79.
    9. Börjesson, Martin & Ahlgren, Erik O., 2010. "Biomass gasification in cost-optimized district heating systems--A regional modelling analysis," Energy Policy, Elsevier, vol. 38(1), pages 168-180, January.
    10. Comodi, G. & Cioccolanti, L. & Gargiulo, M., 2012. "Municipal scale scenario: Analysis of an Italian seaside town with MarkAL-TIMES," Energy Policy, Elsevier, vol. 41(C), pages 303-315.

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