scholarly journals Fuzzy Multi-Criteria Decision-Making Model for Supplier Evaluation and Selection in a Wind Power Plant Project

Mathematics ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 417 ◽  
Author(s):  
Chia-Nan Wang ◽  
Ching-Yu Yang ◽  
Hung-Chun Cheng
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Wind Turbine ◽  
Wind Power ◽  
Supplier Selection ◽  
Energy Sources ◽  
Wind Power Plant ◽  
Fuzzy Environment ◽  
New Energy ◽  
Fuzzy Mcdm

In order to meet ambitious growth targets in the medium term, Vietnam must continue exploiting traditional energy sources. In the longer term, Vietnam has to develop a strategy and roadmap for the development of new energy sources. In these new energy sources, wind energy has emerged as a viable option. Given the geographic conditions of a locality with a long coastline and high winds that are fairly distributed all year, many wind-power plants are being built in Vietnam. One of the most important pieces of equipment in a wind-power plant is the wind turbine. The wind turbine suppliers’ selection is a complex and multicriteria decision-making (MCDM) process that can reduce the costs of procuring equipment and aid in receiving products on time. Many studies have applied the MCDM model to various fields of science and engineering. One of the fields that the MCDM approaches have been applied to is the supplier selection problem. Supplier selection is an important issue of the MCDM model. Especially in a renewable energy project, decision-makers have to evaluate both natural and society factors. Although some researchers have reviewed the applications of the MCDM model in wind turbine supplier selection, limited work has focused on this problem in a fuzzy environment. Therefore, in this work, the authors propose a fuzzy MCDM model for the wind turbine supplier selection process under fuzzy environment conditions. In the first step, all factors for wind turbine supplier selection are identified by supply chain operations reference (SCOR) metrics and the results from a review of the literature. A fuzzy analytic network process (FANP) model is applied for determining the weight of all the criteria in the second stage, and the technique for order preference by similarity to an ideal solution (TOPSIS) model is used to rank all the potential suppliers in the final stage. As a result, Decision-Making Unit 010 (DMU010) becomes an optimal option for the wind turbine supplier selection processes. The contribution of this research is to develop new hybrid fuzzy MCDM approaches for wind turbine supplier selections. Furthermore, this work presents useful guidelines for wind turbines as well as provides a guideline for supplier selection in other industries.

Proposal of a novel mixed integer linear programming model for site selection of a wind power plant based on power maximization with use of mixed type wind turbines

2019 ◽  
Vol 31 (5) ◽  
pp. 825-841 ◽  
Author(s):  
Emin Sertaç Ari ◽  
Cevriye Gencer
Keyword(s):  
Linear Programming ◽  
Power Plant ◽  
Wind Turbine ◽  
Wind Power ◽  
Integer Linear Programming ◽  
Site Selection ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Energy Sources ◽  
Wind Power Plant

Several methods that have been developed to obtain energy, which is indispensable for life and whose necessity has increased geometrically in the course of time, are no longer sustainable. Therefore, human being has headed towards sustainable alternative energy sources. Wind has been one of the most interested renewable energy sources for human as of the beginning of the 20th century. This study focuses on one of the most important work items at the establishment phase of this important energy source, power plant site selection. Within the scope of linear programming perspective, two models were presented based on mixed integer linear programming. The first model provides employment of single-type wind turbine on the selected site, whereas the second model, which was developed within the current study, aims additional increase in total power output by allowing employment of multiple-type wind turbine on the selected site. The same region showed up as the most appropriate site to establish wind power plant as a result of both models of the study.

scholarly journals INTEGRATED FANP-F-MIGP MODEL FOR SUPPLIER SELECTION IN THE RENEWABLE ENERGY SECTOR

2017 ◽  
Vol 18 (3) ◽  
pp. 427-450 ◽  
Author(s):  
Pınar KAYA SAMUT
Keyword(s):  
Power Plant ◽  
Wind Turbine ◽  
Wind Power ◽  
Supplier Selection ◽  
Analytic Network Process ◽  
Wind Power Plant ◽  
Integrated Models ◽  
Network Process ◽  
Criteria Weights ◽  
Selection Of

The available integrated models for choosing efficient suppliers developed so far are mostly specific to companies with mass production capabilities. However, in some sectors involved in project-type manufacturing, the same decision-making criteria cannot be applied and, plus, there is no point in determining the quantity of orders. For instance, in wind power plant projects, a single turbine supplier needs to be selected for each project. This study proposes an integrated FANP-f-MIGP model that ensures the selection of the optimal supplier for each project by applying the model to an energy firm. The criteria specific to the selection of wind power plant turbine suppliers are established, and the criteria weights are obtained by fuzzy analytic network process (FANP). As a result of the analysis, the most important criterion of all is cost. These weights constitute the coefficients of the f-MIGP model’s objective function. Under the defined constraints, by minimizing cost and risk and maximizing quality and services of the firm, the selection of an optimal wind turbine supplier from three suppliers for each of three projects is ensured. This study contributes to the literature both by the specific criteria it establishes and its proposed integrated model which allows for the selection of the best supplier in wind turbine and similar project-based productions.

scholarly journals Design and Contruction of Vertical Axis Wind Turbine Triple-Stage Savonius Type as the Alternative Wind Power Plant

KnE Energy ◽  
2015 ◽  
Vol 2 (2) ◽  
pp. 172
Author(s):  
Tedy Harsanto ◽  
Haryo Dwi Prananto ◽  
Esmar Budi ◽  
Hadi Nasbey
Keyword(s):  
Wind Speed ◽  
Power Plant ◽  
Wind Turbine ◽  
Wind Power ◽  
Output Power ◽  
Vertical Axis ◽  
Wind Power Plant ◽  
Vertical Axis Wind Turbine ◽  
Low Wind Speed ◽  
Simple Materials

<p>A vertical axis wind turbine triple-stage savonius type has been created by using simple materials to generate electricity for the alternative wind power plant. The objective of this research is to design a simple wind turbine which can operate with low wind speed. The turbine was designed by making three savonius rotors and then varied the structure of angle on the three rotors, 0˚, 90˚ and 120˚. The dimension of the three rotors are created equal with each rotor diameter 35 cm and each rotor height 19 cm. The turbine was tested by using blower as the wind sources. Through the measurements obtained the comparisons of output power, rotation of turbine, and the level of efficiency generated by the three variations. The result showed that the turbine with angle of 120˚ operate most optimally because it is able to produce the highest output power and highest rotation of turbine which is 0.346 Watt and 222.7 RPM. </p><p><strong>Keywords</strong>: Output power; savonius turbine; triple-stage; the structure of angle</p>

scholarly journals Modelling and Stability Analysis of Wind Power Plants Connected to Weak Grids

2019 ◽  
Vol 9 (21) ◽  
pp. 4695 ◽  
Author(s):  
Esmaeil Ebrahimzadeh ◽  
Frede Blaabjerg ◽  
Torsten Lund ◽  
John Godsk Nielsen ◽  
Philip Carne Kjær
Keyword(s):  
Power Plant ◽  
Wind Turbine ◽  
Wind Power ◽  
Power Plants ◽  
Short Circuit ◽  
Wind Power Plant ◽  
Negative Sequence ◽  
Weak Grid ◽  
Wind Power Plants ◽  
Sequence Domain

It is important to develop modelling tools to predict unstable situations resulting from the interactions between the wind power plant and the weak power system. This paper presents a unified methodology to model and analyse a wind power plant connected to weak grids in the frequency-domain by considering the dynamics of the phase lock loop (PLL) and controller delays, which have been neglected in most of the previous research into modelling of wind power plants to simplify modelling. The presented approach combines both dq and positive/negative sequence domain modelling, where a single wind turbine is modelled in the dq domain but the whole wind power plant connected to the weak grid is analysed in the positive/negative sequence domain. As the proposed modelling of the wind power plant is systematic and modular and based on the decoupled positive/negative sequence impedances, the application of the proposed methodology is relevant for transmission system operators (TSOs) to assess stability easily with a very low compactional burden. In addition, as the analytical dq impedance models of the single wind turbine are provided, the proposed methodology is an optimization design tool permitting wind turbine manufacturers to tune their converter control. As a case study, a 108 MW wind power plant connected to a weak grid was used to study its sensitivity to variations in network short-circuit level, X/R ratio and line series capacitor compensation (Xc/Xg).

Utilisation of real‐scale renewable energy test facility for validation of generic wind turbine and wind power plant controller models

2016 ◽  
Vol 10 (8) ◽  
pp. 1123-1131 ◽  
Author(s):  
Lorenzo Zeni ◽  
Vahan Gevorgian ◽  
Robb Wallen ◽  
John Bech ◽  
Poul Ejnar Sørensen ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Plant ◽  
Wind Turbine ◽  
Wind Power ◽  
Test Facility ◽  
Wind Power Plant ◽  
Real Scale

scholarly journals Decision Support Technique Based on Spherical Fuzzy Yager Aggregation Operators and Their Application in Wind Power Plant Locations: A Case Study of Jhimpir, Pakistan

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Ronnason Chinram ◽  
Shahzaib Ashraf ◽  
Saleem Abdullah ◽  
Pattarawan Petchkaew
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Fuzzy Sets ◽  
Wind Power ◽  
Power Plants ◽  
Multicriteria Decision Making ◽  
Detailed Comparison ◽  
Aggregation Operators ◽  
Wind Power Plant ◽  
Operational Laws

The problem of energy crisis and environmental pollution has been mitigated by the generation and use of wind power; however, the choice of locations for wind power plants is a difficult task because the decision-making process includes political, socioeconomic, and environmental aspects. Thus, several adverse consequences have been created by the choice of suboptimal locations. The objective of this paper is to address the integrated qualitative and quantitative multicriteria decision-making framework for the selection of wind power plant locations. Spherical fuzzy sets are the latest extension of the ordinary fuzzy sets. The main characteristic of the spherical fuzzy sets is satisfying the condition that the squared sum of the positive, neutral, and negative grades must be at least zero and at most one. In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under spherical fuzzy environments (SFE). Furthermore, based on these Yager operational laws, we develop list of novel aggregation operators under SFE. In addition, we design an algorithm to tackle the uncertainty to investigating the best wind power plant selection in four potential locations in Pakistan. A numerical example of wind power plant location problem is considered to show the supremacy and effectiveness of the proposed study. Also, a detailed comparison is constructed to evaluate the performance and validity of the established technique.

Modern Wind Power Plant in Minnesota

2000 ◽  
Vol 123 (3) ◽  
pp. 179-179
Author(s):  
John Dunlop
Keyword(s):  
Power Plant ◽  
Wind Turbine ◽  
Wind Power ◽  
Turbine Blades ◽  
Wind Power Plant ◽  
The Past ◽  
On Line ◽  
Installed Capacity ◽  
Power Installations ◽  
The U.S

Wind on Minnesota’s southwestern prairie supplies electricity to Minneapolis and St. Paul. At the time this 143-wind turbine, 107 MW project was brought on line in 1998, it was the largest in the U.S. It was superceded by a project in Iowa that began operating in June of 1999. The turbine blades are 50 meters in diameter and mounted on towers 50 meters high. Each 750 kW turbine generates enough electricity for 260 homes. The 143 turbines are expected to produce about 300 GWhr of electricity per year. Minnesota has led the nation in new wind power installations over the past decade, followed closely by Iowa. California still has the largest installed capacity of any state due to the installation of numerous projects in the early 1980s.

Sign in / Sign up

Export Citation Format

Share Document