developing a fuzzy analytic network process (anp) and fuzzy analytic hierarchy process (ahp) model to evaluate small hydropower plant potential

Despite the fact that the energy sector has contributed to the destruction of the environment through its emissions of greenhouse gases, human societies have paid more attention to renewable energy sources such as small hydropower plants in response to this issue. for the purpose of determining zoning, 12 layers of environmental, technical, and geographical criteria have been used. in order to achieve the results of this study, we combined multi-criteria decision-making (mcdm) with fuzzy algorithms. basically, the fuzzy-ahp method of weighting is used as a method for evaluating the technical and environmental criteria that do not have an internal relationship with one another. using the fuzzy-anp method, we are able to weight geographical criteria that are related to one another and are evaluated in terms of their relative importance. in order to identify the zoning map, layers have been overlaid by using the gamma operator 0.9 in order to identify the zoning map. in order to produce the final zoning map, the zoning and the physiographic maps are combined using the sum operator. therefore, 13 suitable sites were selected for the construction of power plants, resulting in 22084.69 megawatts of energy being generated per year and 5.8 tons of greenhouse gases being prevented from being released into the atmosphere. during the course of this study, a watershed located in iran, known as the karoun watershed, was studied. furthermore, the methods applied in this research could be performed in other watersheds and evaluated the potential of other power plants such as solar and wind power plants. 

developing a fuzzy analytic network process (anp) and fuzzy analytic hierarchy process (ahp) model to evaluate small hydropower plant potential

despite the fact that the energy sector has contributed to the destruction of the environment through its emissions of greenhouse gases, human societies have paid more attention to renewable energy sources such as small hydropower plants in response to this issue. for the purpose of determining zoning, 12 layers of environmental, technical, and geographical criteria have been used. in order to achieve the results of this study, we combined multi-criteria decision-making (mcdm) with fuzzy algorithms. basically, the fuzzy-ahp method of weighting is used as a method for evaluating the technical and environmental criteria that do not have an internal relationship with one another. using the fuzzy-anp method, we are able to weight geographical criteria that are related to one another and are evaluated in terms of their relative importance. in order to identify the zoning map, layers have been overlaid by using the gamma operator 0.9 in order to identify the zoning map. in order to produce the final zoning map, the zoning and the physiographic maps are combined using the sum operator. therefore, 13 suitable sites were selected for the construction of power plants, resulting in 22084.69 megawatts of energy being generated per year and 5.8 tons of greenhouse gases being prevented from being released into the atmosphere. during the course of this study, a watershed located in iran, known as the karoun watershed, was studied. furthermore, the methods applied in this research could be performed in other watersheds and evaluated the potential of other power plants such as solar and wind power plants.