Ahmed Karimi, Rahul Wang
Open Access Journal of Engineering Applications · doi:10.55555/oajea.2018.4201.028
There remains a pressing need for cost-effective methods to assess wind turbine generators in railway engineering. A predictive model based on life cycle assessment is constructed to relate design variables to performance outcomes. Results indicate that wind turbine generators can be improved by up to 8% under the recommended configuration. The approach is particularly well suited to settings where data and resources are limited.
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