A TOPSIS-based approach for wind turbines ranking with negative performance ratings and different weighting strategies

• Main Authors: Zahariea Dănuţ, Husaru Dorin Emil, Pavăl Mihai Silviu
• Format: Article
• Language: English
• Published: EDP Sciences 2019-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/11/e3sconf_enviro2018_03003.pdf

This paper presents an application of TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) multi-dimensional criteria decision-making method for a case study related with a wind turbine based on-grid power supply system with negative performance ratings and different weighting strategies. Two wind turbines (XZ and XL) are comparatively analysed with respect to a power supply system for an industrial consumer and a given site. The site wind potential has been obtained from NASA Surface meteorology and Solar Energy database. The on-grid power supply system has been modelled and simulated using HOMER Pro software. Ten attributes have been considered: five technical criteria, four financial criteria and one environmental criterion. Eleven different weighting strategies have been considered. From all these weighting strategies, the XZ wind turbine has been selected in 8 cases while the XL wind turbine has been selected in 2 cases. For two particular weighting strategies, the most suitable alternative (XZ) coincides with the ideal solution, while the other alternative (XL) coincides with the negative ideal solution.