Electricity Generation by Green Energy Sources
Reza Alayi; Salam ollah Mohammadi-Aylar
Abstract
Today, policymakers are aware of the substantial advantages of renewable energies. From the point of view of national and regional decision-makers, the first priority of preparing a com-prehensive energy plan and the second priority of determining the share of renewable energy in the total energy production ...
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Today, policymakers are aware of the substantial advantages of renewable energies. From the point of view of national and regional decision-makers, the first priority of preparing a com-prehensive energy plan and the second priority of determining the share of renewable energy in the total energy production basket of the country is an essential step in the energy policy pro-cess. In choosing from various renewable energy options, environmental dimensions are com-bined with economic, technical, and social criteria, which shows the need to combine these crite-ria, the multi-criteria of the governing decision-making space, and policy-making. Multi-criteria decision-making techniques can play an important role in choosing the best solution and option. The statistical population of this study is eight cities in the case study. The renewable energy sources studied include wind, solar, water, geothermal, and biomass. First, the potential of re-newable energy for the study areas was identified. Then the two main criteria of sustainable de-velopment: economic criteria with 5 sub-criteria and environmental criteria with 3 sub-criteria were analyzed. Finally, using the Economic Analytic Network Process (ANP) sub criterion, the environmental sub-criterion of each of the weighted renewable energies was allocated. One of the essential results of this research is the income of 72868.8 $ from solar power in Ardabil. The cost of energy is $ 2.72 kWh. The lowest cost per unit of energy produced is related to Khalkhal geothermal energy at $ 0.144.
Energy Policy
A. Aryanfar; A. Gholami; M. Pourgholi; M. Zandi Zandi; A. Khosravi
Abstract
The current work proposed a novel fuzzy-based multi-criteria decision-making method to assess the development potential of wind power plants in a country. Type-2 fuzzy logic was utilized to investigate the simultaneous effects of several technical criteria such as wind conditions, ambient temperature, ...
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The current work proposed a novel fuzzy-based multi-criteria decision-making method to assess the development potential of wind power plants in a country. Type-2 fuzzy logic was utilized to investigate the simultaneous effects of several technical criteria such as wind conditions, ambient temperature, and dust activities in a site. Iran was chosen as the case study, considering the various environmental conditions and the lack of thorough investigations in the country. The proposed method could be easily extended to apply to any region. The related technical data for all the 559 Synoptic meteorological stations in the country were collected and used as the inputs for the proposed method. Applying two-step interviews with local experts and reviewing the literature, the leading indicators and their effectiveness were defined. After developing the fuzzy rules and sets, all the sites were scored and ranked using type-2 fuzzy logic in the proposed method. Based on the final standings, priority tables were provided and the top fifty sites for implementing offshore and onshore wind power plants were introduced. Moreover, primary analysis of the collected data indicated that the provinces with high energy consumption and high PM 2.5 levels are in critical environmental conditions. Thus, these provinces need strict attention and planning for sustainable energy supply using renewable energy systems. Based on the results, several recommendations and suggestions were also mentioned to organize investment resources for a more efficient and proper power plant development as well as future studies.