scholarly journals Optimal Site Selection of Wind-Solar Complementary Power Generation Project for a Large-Scale Plug-In Charging Station

2017 ◽  
Vol 9 (11) ◽  
pp. 1994 ◽  
Author(s):  
Wenjun Chen ◽  
Yanlei Zhu ◽  
Meng Yang ◽  
Jiahai Yuan
1991 ◽  
Vol 21 (11) ◽  
pp. 1573-1580 ◽  
Author(s):  
Andrew J. Burton ◽  
Carl W. Ramm ◽  
Kurt S. Pregitzer ◽  
David D. Reed

In large-scale gradient studies, selection of the best research sites is critical but time-consuming and costly. Multivariate methods can be used to quickly identify suitable sites from existing data bases. Based on a study of acid deposition in the Great Lakes region (the Michigan Gradient Study), we illustrate the use of multivariate methods in screening potential research sites for similarity. Sites were examined using cluster analysis, principal coordinates analysis, and correspondence analysis. The graphical displays generated by the multivariate methods were used to identify similar sites across the gradient. A list of 31 potential sites was reduced to 5 similar research sites and several alternative sites. The results of the multivariate methods compared well with more traditional methods of research site selection but allowed for multiple comparisons of many potential sites using a variety of data from existing data bases. By eliminating sites that are unacceptable with respect to available data, the multivariate methods reduce the number of sites that require field visitation prior to final site verification. This process represents a substantial savings in time and effort when dealing with a long list of potential research sites.


2018 ◽  
Vol 4 (7) ◽  
pp. 860-868 ◽  
Author(s):  
Benjamin J. Sieniewicz ◽  
Jonathan M. Behar ◽  
Justin Gould ◽  
Simon Claridge ◽  
Bradley Porter ◽  
...  

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 393
Author(s):  
Arijit Ghosh ◽  
Neha Ghorui ◽  
Sankar Prasad Mondal ◽  
Suchitra Kumari ◽  
Biraj Kanti Mondal ◽  
...  

In this paper, the application of hexagonal fuzzy multiple-criteria decision-making (MCDM) methodology for the site selection of electric vehicle charging stations is considered. In this regard, four factors and thirteen sub-factors have been taken into consideration for E-vehicle charging site selection. In this research, the geographic information system (GIS) has been incorporated with MCDM techniques. The fuzzy analytic hierarchy process (FAHP) is used to obtain a fuzzy weight of factors and sub-factors. MCDM tools fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) and fuzzy complex proportional assessment (FCOPRAS) have been used to rank the selected sites. A centroid-based method for defuzzification and distance measure between two hexagonal fuzzy numbers (HFN) has been developed for this paper. A practical example in Howrah, India, is considered to show the applicability and usefulness of the model. The results depict the suitability of the proposed research. Comparative and sensitivity analyses have been demonstrated to check the reliability, robustness and effectiveness of the proposed method.


Energies ◽  
2016 ◽  
Vol 9 (10) ◽  
pp. 832 ◽  
Author(s):  
Yunna Wu ◽  
Chuanbo Xu ◽  
Hu Xu

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