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Full assessment energy-sources for inclusive energy-resources planning

Author

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  • Udaeta, Miguel Edgar Morales
  • Galvão, Luiz Claudio Ribeiro
  • Rigolin, Pascoal Henrique da Costa
  • Bernal, Jonathas Luiz de Oliveira

Abstract

The aim of this work is design the multi-objective selection of Energy Resources – Supply and Demand Sides – considering the lowest full costs Energy Resource. It is a step of integration of the resources within the IERP (Integrated Energy Resource Planning). This involves each Energy Resource being characterized individually by approximately 50 attributes and sub-attributes, which are contained in four Dimensions: Technical-economic, Environmental, Social and Political. These dimensions can be considered the Four Main Dimensions of human and socioeconomic development.

Suggested Citation

  • Udaeta, Miguel Edgar Morales & Galvão, Luiz Claudio Ribeiro & Rigolin, Pascoal Henrique da Costa & Bernal, Jonathas Luiz de Oliveira, 2016. "Full assessment energy-sources for inclusive energy-resources planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 190-206.
    • Handle: RePEc:eee:rensus:v:66:y:2016:i:c:p:190-206
    DOI: 10.1016/j.rser.2016.07.008
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    References listed on IDEAS

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    1. repec:ucp:ecdecc:v:32:y:1984:i:3:p:455-74 is not listed on IDEAS
    2. Gaddis, Erica Brown & Miles, Brian & Morse, Stephanie & Lewis, Debby, 2007. "Full-cost accounting of coastal disasters in the United States: Implications for planning and preparedness," Ecological Economics, Elsevier, vol. 63(2-3), pages 307-318, August.
    3. Cicone Jr., Décio & Udaeta, Miguel Edgar Morales & Grimoni, José Aquiles Baesso & Galvão, Luiz Cláudio Ribeiro, 2008. "Functionality of the approach of hierarchical analysis in the full cost accounting in the IRP of a metropolitan airport," Energy Policy, Elsevier, vol. 36(3), pages 991-998, March.
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    Cited by:

    1. Bargos, Fabiano Fernandes & Lamas, Wendell de Queiróz & Bilato, Gabriel Adam, 2018. "Computational tools and operational research for optimal design of co-generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 507-516.

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