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.

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.

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 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 Network Optimization Based Lane Line Classification Study

2021 ◽  
Author(s):  
Hai Wang ◽  
Pengyi Deng ◽  
Shulei Sun ◽  
Guoying Tian ◽  
Shuguang Li ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Back Propagation ◽  
Middle Layer ◽  
Analytic Hierarchy ◽  
Bp Network ◽  
Comprehensive Evaluation Method ◽  
Lane Line ◽  
Hierarchy Process

Efficient quality evaluation provides support for the timely and good maintenance of the lane line marking. This paper searches and optimizes the back propagation(BP) network model which referred to the analytic hierarchy process(AHP) model structure, as well as the number of nodes in the middle layer network. Based on this, a comprehensive evaluation method of multi-dimensional lane line quality such as shape, color and contrast is established. The experimental results show that the parameters of the model are more simplified, and the scoring and classification results of lane lines are more accurate.

Analysis of the Safety Factors of Municipal Road Undercrossing Existing Bridge Based on Fuzzy Analytic Hierarchy Process Methods

2021 ◽  
pp. 036119812110318
Author(s):  
Yonghong Yang ◽  
Yu Chen ◽  
Zude Tang
Keyword(s):  
Safety Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Safety Evaluation ◽  
Safety Factors ◽  
Analytic Hierarchy ◽  
Road Engineering ◽  
Existing Bridges ◽  
Hierarchy Process ◽  
Engineering Projects

Increasing traffic volume and insufficient road lanes often require municipal roads to be reconstructed and expanded. Where a road passes under a bridge, the reconstruction and expansion project will inevitably have an impact on the bridge. To evaluate the safety impact of road engineering projects on bridges, this paper evaluates the safety of the roads and ancillary facilities of highway bridges involved in municipal road engineering projects. Based on a comprehensive analysis of the safety factors of municipal roads undercrossing existing bridges, a fuzzy comprehensive analytic hierarchy process (AHP) evaluation method for the influence of road construction on the safety of existing bridges is proposed. First, AHP is used to select 11 evaluation factors. Second, the target layer, criterion layer, and index layer of evaluation factors are established, then a safety evaluation factor system is formed. The three-scale AHP model is used to determine the weight of assessment indexes. Third, through the fuzzy comprehensive AHP evaluation model, the fuzzy hierarchical comprehensive evaluation is carried out for the safety assessment index system. Finally, the fuzzy comprehensive evaluation method is applied to the engineering example of a municipal road undercrossing an existing expressway bridge. The comprehensive safety evaluation of the existing bridge reflects the practicability and feasibility of the method. It is expected that, with further development, the method will improve the decision-making process in bridge safety assessment systems.

Study of Evaluation Method in Terms of Structural Planes Mechanical Characteristics in Engineering Rock Mass

2013 ◽  
Vol 353-356 ◽  
pp. 384-387 ◽  
Author(s):  
Mu Dan Guo ◽  
Fu Sheng Zhu ◽  
Shu Hong Wang ◽  
Xi Jiang Mu
Keyword(s):  
Rock Mass ◽  
Stability Analysis ◽  
Efficient Method ◽  
Weight Distribution ◽  
Evaluation Method ◽  
Mechanical Characteristics ◽  
Significant Issue ◽  
Analytic Hierarchy ◽  
Intensity Parameters ◽  
Hierarchy Process

Study of mechanical characteristics of structural planes has been significant issue in engineering rock mass stability analysis. The factors that affect the mechanical behavior of structural planes are so complicated that it is quite essential to take an efficient method to quantificationally analyze these factors. Based on the basic principals of analytic hierarchy process (AHP), a structural plane classification method-CSPC method is proposed. It can conduct weight distribution in terms of the complicated factors, assess the structural planes comprehensively and also forecast the planes intensity parameters semiquantitatively. The classification and forecast parameters of structural planes appropriately fit the cases in engineering. Furthermore, the method is easy to master for the engineers and the application can be of great prospect.

scholarly journals A HYBRID MULTIPLE CRITERIA EVALUATION METHOD OF RANKING OF CULTURAL HERITAGE STRUCTURES FOR RENOVATION PROJECTS

2017 ◽  
Vol 21 (3) ◽  
pp. 318-329 ◽  
Author(s):  
Zenonas TURSKIS ◽  
Zydrune MORKUNAITE ◽  
Vladislavas KUTUT
Keyword(s):  
Cultural Heritage ◽  
Evaluation Method ◽  
Social Needs ◽  
Problem Solution ◽  
Analytic Hierarchy ◽  
State Institutions ◽  
The Social ◽  
Heritage Buildings ◽  
Multiple Criteria Evaluation ◽  
Hierarchy Process

Cultural heritage item preservation, renovation and adaptation to the social needs of people, as well as their passing from generation to generation, is a problem relevant from economic, historical, archeological, religious, technological, research and other perspectives. They are typical strategic multi-criteria decision-making problems. The state institutions and the owners and managers of the heritage items invest in their preservation. In fact, every country has a great number of the registered heritage structures. To ensure their effective management and renovation, a lot of implementation projects and strategies should be developed and evaluated. This work requires large investments and time. The paper presents a hybrid model developed for ranking the heritage buildings intended for renovation according to their value. The model for problem solution based on integrated using two MCDM methods Analytic Hierarchy Process and EDAS. A set of the criteria for evaluating the projects, concerning the renovation of cultural heritage items defined.

Sign in / Sign up

Export Citation Format

Share Document