Reply to ‘The perils of automated fitting of datasets: the case of a wind turbine cost model’

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Abstract

Assessing the investment costs of wind power plants with different technological
parameters is a challenging task. Previously, a cost model to predict specific investment costs using chosen technology parameters was created by fitting a function to cost data. The model, however, shows incorrect scaling behaviour with large installed capacity. A new model was tested with the original data, but it is difficult to estimate its quality without an extensive analysis.
Original languageEnglish
JournalNature Energy
Publication statusSubmitted - 13 Aug 2019
MoE publication typeB1 Article in a scientific magazine

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