Combining AHP and TOPSIS Methods to Evaluate Investment for Wind Farm Construction

2013 ◽  
Vol 860-863 ◽  
pp. 280-286 ◽  
Author(s):  
Xiang Feng Zhang
Keyword(s):  
Alternative Energy ◽  
Wind Farm ◽  
Evaluation Method ◽  
Evaluation Criteria ◽  
Wind Farms ◽  
Investment Strategy ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Order Preference ◽  
Rational Investment

Wind is one of the most promising sources of alternative energy. The construction of wind farms grows quickly in China. It is necessary for stakeholders to estimate investment costs and make good decisions on a wind power project by making a budget for the investment. However, the identification of rational investment practices is technically challenging because of the lack of scientific tools to evaluate optimal decisions. A multi-criteria evaluation method was proposed to select rational investment strategy for wind farm construction. The method is based on the analytic hierarchy process (AHP) together with a technique for order preference by similarity to ideal solution (TOPSIS). A decision problem hierarchy with three layers were investigated. The top layer is an objective layer for evaluating the investment rationality. The intermediate layer includes three evaluation criteria, that is, configuration of wind turbine generator systems, physical environment and social environment. Some relative and important indicators for each criterion are in the low layer. The evaluation results illustrate that the proposed method is practical and helpful to indentify the investment rationality for wind farms.

Integrated AHP-BPNN Model for Wind Farm Investment Evaluation

2014 ◽  
Vol 541-542 ◽  
pp. 966-971
Author(s):  
Xiang Feng Zhang ◽  
Tian Yu Liu ◽  
Bin Jiao
Keyword(s):  
Wind Farm ◽  
Evaluation Method ◽  
Back Propagation ◽  
Wind Farms ◽  
Back Propagation Neural Network ◽  
Analytic Hierarchy ◽  
Farm Investment ◽  
Hierarchy Process ◽  
Power Project ◽  
Bpnn Model

The construction of wind farms grows quickly in China. It is necessary for stakeholders to estimate investment costs and to make good decisions about a wind power project by making a budget for the investment. This paper proposed an evaluation method by integrating the analytic hierarchy process (AHP) with back-propagation neural network (BPNN) to evaluate wind farm investment. In the AHP-BPNN model, the AHP method is used to determine the factors of wind farm investment. The factors with high importance are reserved while those with low importance are eliminated, which can decrease the number of inputs of the BPNN. The experiment results show that the integrated model is feasible and effective.

scholarly journals Use of Analytic Hierarchy Process for Wind Farm Installation Region Prioritization–Case Study

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2284 ◽  
Author(s):  
Rômulo Lemos Bulhões ◽  
Eudemário Souza de Santana ◽  
Alex Álisson Bandeira Santos
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Wind Farm ◽  
Greenhouse Gas Emission ◽  
Wind Farms ◽  
Clean Energy ◽  
Poor Quality ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Electricity generation via renewable sources is emerging as a possible solution to meet the growing demand for electricity worldwide. Additionally, the need to produce clean energy, with little or no pollutants or greenhouse gas emission is paramount. Due to these factors, wind farms are noticeably increasing in number, especially in Brazil. However, the vast size of the country and the poor quality of its infrastructure are among several factors that make it difficult for effective decision-making to accelerate the growth of this segment in Brazil. With the purpose of assisting government agencies, regulatory agencies and other institutions in this area, the use of a multi-criteria selection method called the analytic hierarchy process is proposed here to assist in decision-making and to select priority regions for implementing wind farms. This work focuses on a case study of the state of Bahia, in which 27 territories were selected for an installation priority evaluation. Computational tools were used to hierarchize these chosen territories, including Matlab, for the construction of the computational algorithm. The results indicate the priority pf the regions according to the established criteria, which allows installation locations to be mapped—these could serve as a basis for regional investment.

An Evaluation of Urban Artificial Wetland Landscape Proposal Based on AHP-TOPSIS

2010 ◽  
Vol 113-116 ◽  
pp. 1452-1455
Author(s):  
Yi Chuan Zhang ◽  
Li Fang Qiao ◽  
An Guo Qi ◽  
Lian Fang Yao
Keyword(s):  
Evaluation System ◽  
Green Space ◽  
Evaluation Method ◽  
Artificial Wetland ◽  
Analytic Hierarchy ◽  
Wetland Landscape ◽  
Order Preference ◽  
Differentiation Degree ◽  
Good Differentiation ◽  
Hierarchy Process

The urban artificial wetland is an important component of an urban green space system, and the adoption of quantitative method for studying the evaluation of urban wetland landscape proposal is of great significance to promote the construction of urban artificial wetland. In this study, the evaluation system of urban artificial wetland landscape proposal was established by selecting 6 indicators such as technology, bio-diversity, landscape function, maintenance, construction cost and artistic effect, and adopting the methods of Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and empirical evaluations of 30 urban artificial wetland landscape proposals have been conducted to verify the feasibility of the model. The results showed that: AHP-TOPSIS model was applied to the evaluation of urban artificial wetland landscape proposal with a good differentiation degree, which can be used for a comprehensive, reasonable and accurate assessment on the comprehensive quality of an urban artificial wetland landscape proposal as a simple and effective evaluation method. This method also can be applied to evaluation and classification on landscape proposals of other types of green space.

scholarly journals Wind Energy Development in India and a Methodology for Evaluating Performance of Wind Farm Clusters

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Sanjeev H. Kulkarni ◽  
Tumkur Ramakrishnarao Anil ◽  
Rajakumar Dyamenally Gowdar
Keyword(s):  
Wind Energy ◽  
Power Plants ◽  
Wind Farm ◽  
Pairwise Comparison ◽  
Wind Farms ◽  
Analytic Hierarchy ◽  
Healthy Environment ◽  
Indian State ◽  
Wind Energy Development ◽  
Hierarchy Process

With maturity of advanced technologies and urgent requirement for maintaining a healthy environment with reasonable price, India is moving towards a trend of generating electricity from renewable resources. Wind energy production, with its relatively safer and positive environmental characteristics, has evolved from a marginal activity into a multibillion dollar industry today. Wind energy power plants, also known as wind farms, comprise multiple wind turbines. Though there are several wind-mill clusters producing energy in different geographical locations across the world, evaluating their performance is a complex task and is an important focus for stakeholders. In this work an attempt is made to estimate the performance of wind clusters employing a multicriteria approach. Multiple factors that affect wind farm operations are analyzed by taking experts opinions, and a performance ranking of the wind farms is generated. The weights of the selection criteria are determined by pairwise comparison matrices of the Analytic Hierarchy Process (AHP). The proposed methodology evaluates wind farm performance based on technical, economic, environmental, and sociological indicators. Both qualitative and quantitative parameters were considered. Empirical data were collected through questionnaire from the selected wind farms of Belagavi district in the Indian State of Karnataka. This proposed methodology is a useful tool for cluster analysis.

scholarly journals Multi-Criteria Performance Evaluation System in the Industrial Heritage Reuse Plan

2021 ◽  
Vol 943 (1) ◽  
pp. 012034
Author(s):  
C K Weng ◽  
C F Lai ◽  
Y C Chien ◽  
W C Yeh
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Influencing Factor ◽  
Analytic Hierarchy ◽  
Industrial Heritage ◽  
Multi Criteria Evaluation ◽  
The Hierarchical Structure ◽  
Major Factors

Abstract Industrial heritage is unique in terms of its patterns, reuse characteristics, economic relevance and social operations. Under the government’s “Industrial Heritage Regeneration Project”, a menu of outcome/performance assessments have been in practice and have evolved. This paper combines expert methods, the Analytic Hierarchy Process, and the Multi-criteria Evaluation Method, along with qualitative and quantitative data, to clarify the hierarchical structure and weight of factors that influence outcome/performances. The research purpose is to establish an integrated multi-criteria performance evaluation model for the reuse of industrial heritage. The findings identify a long list of factors by crossing the four major factors concerning the reuse of industrial heritage, namely regeneration creativity, operational management, implementation effectiveness and sustainable developments. Regeneration creativity is considered as the most important element, and the presentation of thematic plans and characteristics is the most important influencing factor. It is suggested that clarifications should be made concerning the factors that affect different facets in the execution of reuse initiatives. The research findings can serve as a reference for decision-making in reuse and development by reflecting the culture and value for the reuse and implementations of industrial heritage.

scholarly journals GIS-BASED WIND FARM SITE SELECTION MODEL OFFSHORE ABU DHABI EMIRATE, UAE

2016 ◽  
Vol XLI-B8 ◽  
pp. 437-441 ◽  
Author(s):  
N. Saleous ◽  
S. Issa ◽  
J. Al Mazrouei
Keyword(s):  
United Arab Emirates ◽  
Alternative Energy ◽  
Wind Farm ◽  
Heavy Traffic ◽  
Arabian Gulf ◽  
Wind Farms ◽  
Marine Ecology ◽  
Offshore Wind ◽  
Abu Dhabi ◽  
Seabed Topography

The United Arab Emirates (UAE) government has declared the increased use of alternative energy a strategic goal and has invested in identifying and developing various sources of such energy. This study aimed at assessing the viability of establishing wind farms offshore the Emirate of Abu Dhabi, UAE and to identify favourable sites for such farms using Geographic Information Systems (GIS) procedures and algorithms. Based on previous studies and on local requirements, a set of suitability criteria was developed including ocean currents, reserved areas, seabed topography, and wind speed. GIS layers were created and a weighted overlay GIS model based on the above mentioned criteria was built to identify suitable sites for hosting a new offshore wind energy farm. Results showed that most of Abu Dhabi offshore areas were unsuitable, largely due to the presence of restricted zones (marine protected areas, oil extraction platforms and oil pipelines in particular). However, some suitable sites could be identified, especially around Delma Island and North of Jabal Barakah in the Western Region. The environmental impact of potential wind farm locations and associated cables on the marine ecology was examined to ensure minimal disturbance to marine life. Further research is needed to specify wind mills characteristics that suit the study area especially with the presence of heavy traffic due to many oil production and shipping activities in the Arabian Gulf most of the year.

scholarly journals Selection of 3D Printer for Innovation Centre of Academic Institution Based on AHP and TOPSIS Methods

2021 ◽  
Vol 9 (12) ◽  
pp. 1872-1880
Author(s):  
R. D. Rakhade
Keyword(s):  
3D Printing ◽  
Evaluation Criteria ◽  
Acrylonitrile Butadiene Styrene ◽  
Academic Institution ◽  
3D Printer ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Improved Learning ◽  
Teaching Learning ◽  
Selection Of

Abstract: This paper describes a computer-based tool for the selection of 3D printer for educational propose by using Multi Attribute Decision Making (MADM) strategies particularly Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In education, 3D printing technologies facilitate improved learning, skills development, and increased student and teacher engagement with the subject matter. Furthermore, 3D printing sparks greater creativity and collaboration in solving problems, to settle on a best option for teaching learning process tasks into account. MADM methods are interpretative processes which are well suited in choice of different 3D printers. This work suggests AHP and TOPSIS to judge 3D printer alternatives for choice of method, based on the AHP and TOPSIS methodology, ranks available techniques by a score resulting from the composition of priorities at different levels, each considering homogeneous and independent evaluation criteria. In this work proposes a comprehensive list of key factors that have a significant influence on 3D printer selection. In this work type of material used for printing considered as common for all printers such as ABS (Acrylonitrile Butadiene Styrene), PLA (Polylactic Acid), PET or Polyethylene terephthalate etc. A total of 09 sub-criteria have been identified and grouped under three main criteria, namely, (i) Physical Characteristics (ii) Economic consideration, (iii) Operational Requirements. These entire criteria area unit extracted from on-line literature and skilled opinion. Result of study shows that 3D Printer one (ET4 PRO 3IDEA model) was designated because the best suited for Innovation Centre Academic Institution. Keywords: 3D printer, MADM method, AHP method, TOPSIS method, Innovation Centre, Academic Institution

scholarly journals Elaboration of a Wind Energy Potential Map in Morocco using GIS and Analytic Hierarchy Process

2020 ◽  
Vol 10 (4) ◽  
pp. 6068-6075
Author(s):  
F. Elmahmoudi ◽  
O. E. K. Abra ◽  
A. Raihani ◽  
O. Serrar ◽  
L. Bahatti
Keyword(s):  
Wind Farm ◽  
Wind Farms ◽  
Energy Potential ◽  
Analytic Hierarchy ◽  
Potential Map ◽  
Wind Energy Potential ◽  
Wind Farm Location ◽  
Location Map ◽  
Hierarchy Process ◽  
Selection Of

The construction of a wind power generation center starts by the selection of a suitable wind farm location. The selection includes six factors, namely wind speed, slope, land use, distance from the power lines, distance from the roads, and distance from populated areas which have been integrated into QGIS by weights calculated using the Analytical Hierarchy Process (AHP) approach. As a result of this study, the areas having very high wind potentiality have been identified and a best wind farm location map has been prepared. The map, using the overlay function in GIS, exhibits the most and least suitable areas for the location of wind farms in Morocco. The approach could help identify suitable wind farm locations in other areas using their geographic information.

scholarly journals GIS-BASED WIND FARM SITE SELECTION MODEL OFFSHORE ABU DHABI EMIRATE, UAE

2016 ◽  
Vol XLI-B8 ◽  
pp. 437-441 ◽  
Author(s):  
N. Saleous ◽  
S. Issa ◽  
J. Al Mazrouei
Keyword(s):  
United Arab Emirates ◽  
Alternative Energy ◽  
Wind Farm ◽  
Heavy Traffic ◽  
Arabian Gulf ◽  
Wind Farms ◽  
Marine Ecology ◽  
Offshore Wind ◽  
Abu Dhabi ◽  
Seabed Topography

The United Arab Emirates (UAE) government has declared the increased use of alternative energy a strategic goal and has invested in identifying and developing various sources of such energy. This study aimed at assessing the viability of establishing wind farms offshore the Emirate of Abu Dhabi, UAE and to identify favourable sites for such farms using Geographic Information Systems (GIS) procedures and algorithms. Based on previous studies and on local requirements, a set of suitability criteria was developed including ocean currents, reserved areas, seabed topography, and wind speed. GIS layers were created and a weighted overlay GIS model based on the above mentioned criteria was built to identify suitable sites for hosting a new offshore wind energy farm. Results showed that most of Abu Dhabi offshore areas were unsuitable, largely due to the presence of restricted zones (marine protected areas, oil extraction platforms and oil pipelines in particular). However, some suitable sites could be identified, especially around Delma Island and North of Jabal Barakah in the Western Region. The environmental impact of potential wind farm locations and associated cables on the marine ecology was examined to ensure minimal disturbance to marine life. Further research is needed to specify wind mills characteristics that suit the study area especially with the presence of heavy traffic due to many oil production and shipping activities in the Arabian Gulf most of the year.

scholarly journals Logistics Service Provider Selection through an Integrated Fuzzy Multicriteria Decision Making Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Gülşen Akman ◽  
Kasım Baynal
Keyword(s):  
Customer Service ◽  
Service Provider ◽  
Service Providers ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Third Party ◽  
Analytic Hierarchy ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
Order Preference

Nowadays, the demand of third-party logistics provider becomes an increasingly important issue for companies to improve their customer service and to decrease logistics costs. This paper presents an integrated fuzzy approach for the evaluation and selection of 3rd party logistics service providers. This method consists of two techniques: (1) use fuzzy analytic hierarchy process to identify weights of evaluation criteria; (2) apply fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method to evaluate and sequence alternatives and to make the final selection. Finally, an actual industrial application is performed in logistics department of a tire manufacturing company. For this, first, eight logistics supplier selection criteria were determined, and then the best alternative among seven logistics service provider companies was selected by the proposed method.

Sign in / Sign up

Export Citation Format

Share Document