Full assessment energy-sources for inclusive energy-resources planning

• Published in: Renewable & sustainable energy reviews Vol. 66; pp. 190 - 206
• Main Authors: Udaeta, Miguel Edgar Morales, Galvão, Luiz Claudio Ribeiro, Rigolin, Pascoal Henrique da Costa, Bernal, Jonathas Luiz de Oliveira
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-12-2016
• Subjects: Energy options screening; Energy planning; Energy-resources; Full cost account; Integrated Energy Resources Planning; Energy options screening; Energy-resources; Integrated Energy Resources Planning; Full cost account; Energy planning
• ISSN: 1364-0321; 1879-0690
• DOI: 10.1016/j.rser.2016.07.008

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.
From a methodological approach, a holistic analysis was performed, where the decision makers and the actors enrolled are part of the choice of Energy Resources through the attributes that characterize them. Also, there is a deterministic analysis, where the complete characterization of the Energy Resources is done considering the local data. For this purpose, each Energy Resources also has been characterized on the complete cost basis, by means of Full Cost Assessment. Last, the Analytic Hierarchical Process (AHP) was applied in order to accomplish the selection itself.
The main result is a multi-criterion ranking of energy-resources, based on all above mentioned attributes. The resources next to the demand side appear as lower full costs one. Considering these results it can be concluded that a selection based on the model enables the reduction of uncertainties and risks in the long term planning. Furthermore, this resulting list feeds the integration of resources in the process of implementation of the IERP.