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A hierarchical decision making model for the prioritization of distributed generation technologies: A case study for Iran

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  • Zangeneh, Ali
  • Jadid, Shahram
  • Rahimi-Kian, Ashkan

Abstract

The purpose of this paper is to present an assessment and evaluation model for the prioritization of distributed generation (DG) technologies, both conventional and renewable, to meet the increasing load due to the growth rate in Iran, while considering the issue of sustainable development. The proposed hierarchical decision making strategy is presented from the viewpoint of either the distribution company (DisCo) or the independent power producer (IPP) as a private entity. Nowadays, DG is a broadly-used term that covers various technologies; however, it is difficult to find a unique DG technology that takes into account multiple considerations, such as economic, technical, and environmental attributes. For this purpose, a multi-attribute decision making (MADM) approach is used to assess the alternatives for DG technology with respect to their economic, technical and environmental attributes. In addition, a regional primary energy attribute is also included in the hierarchy to express the potential of various kinds of energy resources in the regions under study. The obtained priority of DG technologies help decision maker in each region how allocate their total investment budget to the various technologies. From the performed analysis, it is observed that gas turbines are almost the best technologies for investing in various regions of Iran. At the end of the decision making process, a sensitivity analysis is performed based on the state regulations to indicate how the variations of the attributes' weights influence the DG alternatives' priority. This proposed analytical framework is implemented in seven parts of Iran with different climatic conditions and energy resources.

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  • Zangeneh, Ali & Jadid, Shahram & Rahimi-Kian, Ashkan, 2009. "A hierarchical decision making model for the prioritization of distributed generation technologies: A case study for Iran," Energy Policy, Elsevier, vol. 37(12), pages 5752-5763, December.
    • Handle: RePEc:eee:enepol:v:37:y:2009:i:12:p:5752-5763
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