The Prioritization And Feasibility Study Over Renewable Technologies Using Fuzzy Logic: A Case Study For Takestan Plains

Document Type: Original Article

Authors

1 Energy engineering, Amirkabir university, Tehran, Iran

2 Energy engineering, Amirkabir university of technology, Tehran, Iran

10.22109/jemt.2020.219626.1230

Abstract

Regardless of the rich oil and gas resources, Iran is also recognized as one of the largest renewable energy potential holders in the region. Iran, as one of the world's largest oil exporters and producers of gas, plays an extremely important role in international energy policy. However, since 2015, in the wake of the success of the discourse on climate change in the international space, Iran has begun serious development programs in the field of new energy, and by expanding the policy of encouragement and support provided by the Trustee of the Organization of Renewable Energy and Energy Performance (Ab. in Persian is SATBA), has been trying to expand the culture of private investment in this area. Due to these reasons and the growing importance of clean energy in the international space and global energy security, this study examines the potential of each of the three renewable technologies such as solar, wind, and biomass in Qazvin province as a case study. The study seeks to prioritize the superiority of each technology and select the best option for investing in the field of renewable energy in each area using the fuzzy logic algorithm as well as the principles of engineering economics and feasibility studies.

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Articles in Press, Accepted Manuscript
Available Online from 09 May 2020
  • Receive Date: 13 February 2020
  • Revise Date: 29 April 2020
  • Accept Date: 07 May 2020