Identifying factors affecting electricity production technologies with the approach of energy uncertainty

Document Type : Original Article

Authors

1 Department of Economics, Faculty of Economics and Accounting, Islamic Azad University, Central Tehran Branch, Tehran, Iran

2 Faculty of Economics and Islamic Studies, Imam Sadiq University, Tehran, Iran

10.22080/jeem.2024.26573.1004

Abstract

The purpose of this article is to investigate and identify the factors affecting different technologies of electricity production with regard to the uncertainty of energy. In this research, multi-criteria decision-making techniques (MCDM) have been used regarding the decision-making optimization of the use of different technologies for electricity generation with the approach of energy uncertainty. In order to analyze the information, the fuzzy ANP method has been used. The results show that the index of fossil fuels (A3) is the closest to the positive ideal answer and the greatest distance from the negative ideal answer, and the first priority is electricity generation technologies. This means that investing on the fossil fuel index can create the highest benefit in terms of the defined indices. According to the case study, like other countries, Iran also considers the main way to conserve energy is to improve energy efficiency through technological advancement. The feedback effect reveals that technological progress not only improves energy efficiency, but also promotes economic growth and increases the demand for energy. This increase in energy can offset the stored energy by improving energy efficiency. In some sectors, the presence of this effect may even lead to an increase in consumption. The presence of rebound effect in various sectors of Iran's factory industries is also inevitable.

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Journal of Energy Economics Modeling
Volume 1, Issue 2
October 2023

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