Applying a MCDM model has many benefits for decision makers in the course of oil field master development plans preparation and evaluation. In this study, a multi-criteria decision making model is proposed in order to achieve an optimum production profile. The most important criteria and parameters for selection of best production profile are identified. These parameters are derived by several interviews with Iranian oil Industry’s experts. The candidate alternatives for production profile are ranked using a combination of group decision making approach and social choice theory. The degree of group consensus is evaluated by using a statistic model to confirm the validity of decision making model.
Sustainable electricity development is one of the requirements for achieving sustainable development in global communities. However, due to barriers, especially in less developed countries, there is little incentive to invest in the development of sustainable electricity technologies. Therefore, there should be a change in market mechanisms, and broad support policies have to be implemented for the sustainable development of electricity. In the long run, these policies must lead to the sustainable development of energy systems. To evaluate the efficiency and effects of the proposed support policies on the sustainability of electricity generation development, this study intends to analyze the multiple and complex dimensions of the problem using a hybrid decision support model. Moreover, by defining an indicator to assess the electricity generation expansion sustainability, this study assists policymakers in making logical decisions about sustainable support programs for the electricity development based on the characteristics of the electricity market of each country. Despite uncertainties in the electricity market, simulations show that the results of this hybrid model have approximately 88% conformance with historical data. Consequently, the model can evaluate the sustainability of the system under the implementation of the proposed support programs and compare them to select the most effective one. The results show that by assuming a competitive market and rational behavior and implementing support programs with endogenous financial resources, the installed renewable capacity can be improved by up to 70.4% compared with the direct subsidy policies. Regardless of the financial burden of policies (e.g., direct subsidies) and the possibility of facing a budget deficit, these programs can be up to 79.2% more effective in the sustainability of the energy system compared with the direct subsidy policy.
Distributed generation is an approach to power generation by low capacity systems. In this paper small wind turbines are investigated as distributed generation systems used to satisfy household/commercial and agricultural sectors demand. This paper explains a decision-making process during which consumers can easily define appropriate Wind Energy Conversion System (WECS), considering economical accordance by the amount of power consumption and climate condition of installation place. Rotor diameter and turbine hub height are distinguished as two main parameters affecting WECS, referring to consumption rate and climate circumstances of the place. Mathematical relation between Cost Per Unit (CPU) of generated power and these two, is determined with high correlation coefficient which will be applied during the process to easily nominate different WECSs. Having the amount of costs paid by a family per 1 kWh of electricity consumption, WECS characteristics can be conveniently specified using this relation. To examine the influence of each of the above parameters and increasing the validity of the results, turbines with different rated powers and hub heights, are used in four regions with various geographical circumstances.
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