scholarly journals Decision Making Of Suitable Bioenergy Power Plant Location: A Case Study

2020 ◽  
Author(s):  
Muhammed Sutcu ◽  
Fatih Yasin Güner ◽  
Ramazan Duran ◽  
İsmet Söylemez
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Plant Location

Computer-aided sensitivity analysis of a multicriteria decision-making methodology for the evaluation of materials requirements stringency in the nuclear components manufacturing

2019 ◽  
Vol 233 (10) ◽  
pp. 2094-2107
Author(s):  
Álvaro Rodríguez-Prieto ◽  
Ana M Camacho ◽  
Ángel Yanguas-Gil ◽  
Miguel A Sebastián
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Power Plant ◽  
Nuclear Power ◽  
Multicriteria Decision Making ◽  
Manufacturing Processes ◽  
Primary Loop ◽  
Computer Aided ◽  
Selection Of

A methodology developed specifically for the evaluation of requirements of materials intended to high-demanding applications is the stringency levels methodology. The objective of this work is to perform a sensitivity analysis of the methodology of multicriteria stringency levels for the evaluation of technological requirements of materials, creating a new methodology that provides a final results studying variability that let us make an objective decision. The case study has been the evaluation of steels used in the manufacture of components housed in the primary loop of a nuclear power plant. To ease the calculation of the stringency levels, the algorithm has been computed in Labview®. Considering the dispersion that can generate the numerical weighting process, the analysis has shown that the variability in calculated values is not significant. The analysis proposed with this methodology could be used, in the future, for the selection of materials for innovative manufacturing processes.

scholarly journals Design and Optimization of a Turbine Intake Structure

10.14311/720 ◽  
2005 ◽  
Vol 45 (3) ◽  
Author(s):  
P. Fošumpaur ◽  
F. Čihák
Keyword(s):  
Power Plant ◽  
Optimal Design ◽  
Plant Location ◽  
Hydropower Plant ◽  
Total Efficiency ◽  
Design And Optimization ◽  
Hydropower Plants ◽  
Intake Structure ◽  
Run Of River

The appropriate design of the turbine intake structure of a hydropower plant is based on assumptions about its suitable function, and the design will increase the total efficiency of operation. This paper deals with optimal design of the turbine structure of run-of-river hydropower plants. The study focuses mainly on optimization of the hydropower plant location with respect to the original river banks, and on the optimal design of a separating pier between the weir and the power plant. The optimal design of the turbine intake was determined with the use of 2-D mathematical modelling. A case study is performed for the optimal design of a turbine intake structure on the Nemen river in Belarus. 

Case Study: Supply Chain View of Plant Location Decision Making with the Use of AHP Methodology

2011 ◽  
Vol 271-273 ◽  
pp. 719-724 ◽  
Author(s):  
Wei Bing Weng ◽  
Guang Jun Yang ◽  
Yun Zhang ◽  
Jian Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Decision Model ◽  
Plant Location ◽  
Management Model ◽  
Location Decision ◽  
Industrial Parks ◽  
Different Levels

As a node of a supply chain, plant plays a key role in the network, which has been a strategic topic in the study of supply chain management model. Plant location decision is one of the crucial problems in the optimization and design of supply chain. The converte of competitions between single companies to competitions between different supply chains urges the extension of plant location decision from the view of single plant to the entire supply chain. This paper presents the application of AHP methodology in decision making of plant location considering the roles of plant in an entire supply chain. The different levels of criteria such as cost, cycle time of supply chain, and quality of plant locations, are proposed to be considered in the decision model. The case presented in this paper concerns plant location decision of a British group, who selected an optimal plant location from six alternative industrial parks in China.

scholarly journals SOLAR PV POWER PLANT LOCATION SELECTION USING A Z- FUZZY NUMBER BASED AHP

2018 ◽  
Vol 10 (3) ◽  
Author(s):  
Cengiz Kahraman ◽  
Irem Otay
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Solar Energy ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Fuzzy Numbers ◽  
Plant Location ◽  
Multi Criteria Decision Making ◽  
Solar Pv ◽  
Location Selection

One of the most used renewable energy systems to produce clean and sustainable energy are solar energy photovoltaic (PV) plants. The selection among solar energy PV plant location alternatives requires a multi-criteria decision making approach with several conflicting and linguistic criteria. The assessment process is generally done in a vague and imprecise environment. Fuzzy set theory is often very beneficial for evaluating the subjective judgments of decision makers. The Analytic Hierarchy Process is the most used multi-criteria decision making method in the world because of its simplicity and efficiency. In this paper, we select a location for a solar energy PV plant using a 4-level hierarchy. We consider several criteria and sub-criteria including initial cost, maintenance cost, slope and distance to highways. A Z-fuzzy number is a relatively new concept in fuzzy set theory that enables one to circumvent the limitations of ordinary fuzzy numbers. Z-fuzzy numbers can be viewed as a combination of crisp numbers, intervals, fuzzy numbers and random numbers because of their generality. They give a better representation than ordinary fuzzy numbers. This study solves the multi-criteria solar PV power plant location selection problem with a Z-fuzzy based AHP method. To check the applicability of the method proposed here, a real-life case study from Turkey is presented and solved.

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