Abstract
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.
Highlights
Very often, during the process of renewable projects development, for wind power projects, there are situations which involve choosing one alternative from several possible, by comparing the alternatives under a certain set of weights
The main difficulty of this case study is the value of CO2 emissions criterion, which is negative for both XL and XZERES kW (XZ) wind turbines for production level value of 60%, is positive for XL wind turbine and negative for XZ wind turbine for production level range of 70÷80%, and is positive for both XL and XZ wind turbines for production level range of 80÷100%, Figure 7
Considering T, F and E criteria, it is possible to make a clear decision for all 5 considered weighting strategies: XZ wind turbine for S1, S2, S3 and S4, and XL wind turbine for S5
Summary
Very often, during the process of renewable projects development, for wind power projects, there are situations which involve choosing one alternative from several possible, by comparing the alternatives under a certain set of weights. The weighted product method has been used in [6] for selection of the most suitable wind turbine between two alternatives, based on a single weighting strategy and nine criteria, of which five are technical criteria (annual energy production, wind turbine capacity factor, renewable fraction, grid purchase and grid sales) and four are financial criteria (net present cost, cost of energy, initial investment and simple payback). If Gp < Gs, the grid-related emission of CO2 is negative During that analysis, this particular situation has been noticed, and negative values of the 10th criterion have been obtained. As a consequence of the fact that the authors did not find a way to handle these negative values with weighted product method, the 10th criterion has been removed from the criteria list and the decision process has been made based only on the rest of nine criteria.
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