23 research outputs found

    Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey

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    The problem of choosing the best location for CO2 storage is a crucial and challenging multi-criteria decision problem for some companies. This study compares the performance of three fuzzy-based multi-criteria decision making (MCDM) methods, including Fuzzy TOPSIS, Fuzzy ELECTRE I and Fuzzy VIKOR for solving the carbon dioxide geological storage location selection problem in Turkey. The results show that MCDM approach is a useful tool for decision makers in the selection of potential sites for CO2 geological storage

    An Integrated Multicriteria Decision-Making Approach for Evaluating Nuclear Fuel Cycle Systems for Long-term Sustainability on the Basis of an Equilibrium Model: Technique for Order of Preference by Similarity to Ideal Solution, Preference Ranking Organization Method for Enrichment Evaluation, and Multiattribute Utility Theory Combined with Analytic Hierarchy Process

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    The focus on the issues surrounding spent nuclear fuel and lifetime extension of old nuclear power plants continues to grow nowadays. A transparent decision-making process to identify the best suitable nuclear fuel cycle (NFC) is considered to be the key task in the current situation. Through this study, an attempt is made to develop an equilibrium model for the NFC to calculate the material flows based on 1 TWh of electricity production, and to perform integrated multicriteria decision-making method analyses via the analytic hierarchy process technique for order of preference by similarity to ideal solution, preference ranking organization method for enrichment evaluation, and multiattribute utility theory methods. This comparative study is aimed at screening and ranking the three selected NFC options against five aspects: sustainability, environmental friendliness, economics, proliferation resistance, and technical feasibility. The selected fuel cycle options include pressurized water reactor (PWR) once-through cycle, PWR mixed oxide cycle, or pyroprocessing sodium-cooled fast reactor cycle. A sensitivity analysis was performed to prove the robustness of the results and explore the influence of criteria on the obtained ranking. As a result of the comparative analysis, the pyroprocessing sodium-cooled fast reactor cycle is determined to be the most competitive option among the NFC scenarios.ope

    A comparative study on material selection of microelectromechanical systems electrostatic actuators using Ashby, VIKOR and TOPSIS

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    Due to the rapid development of microelectromechanical systems (MEMS) technology and large numbers of candidate materials, material selection for MEMS devices needs systematic approach. In this paper, for different applications of MEMS electrostatic actuators, based on the actuation voltage and force, speed of actuation and electrical resistivity, the most appropriate materials are selected. For this purpose, Ashby approach as Multi Objective Decision Making (MODM) technique, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and VIse Kriterijumska Optimizacija kompromisno Resenja (VIKOR) methods as Multiple Attribute Decision Making (MADM) technique are used. The results show good agreement between these three different methods for material selection. The analysis suggest that for high actuation force and speed devices, diamond and Silicon Carbide are the best, for large displacement with low actuation voltage actuators, polymers such as Polymethyl methacrylate (PMMA) and Polyvinylidene fluoride (PVDF) are the best options. Also, for low electrical resistivity, high speed with low actuation voltage devices, aluminum is recommended. Finally, based on the results, comparison between Ashby, VIKOR and TOPSIS methods are presented.3.997 JCR (2015) Q1, 44/271 Materials science, multidisciplinaryUE
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