Considering a technology change in an existing park is an investment project that must be based on simulations concerning the number, location, and type of wind turbines, as well as on significant data and precise statistical calculations.

During operation, it is also a way to know at any moment if the initial sizing of the wind farm is not the most optimal given the wind resources, and thus that profitability can be increased in the long term. This can be useful whether looking to optimize the park to continue its operation, or to provide potential added value in the context of a divestiture process.

A repowering simulation, based on wind data measured during operation, but also on-site weather conditions, includes a more robust future resource estimate than at the start of the project (as it can be based on a much larger data period), an estimate of a more suitable statistical distribution of wind (rather than an a priori Weibull distribution), both for average speed and its direction and turbulence, as well as an estimate of the producible output based on the power curve of the most efficient turbines for the current market and an estimated statistical distribution.

Key Features

• Reevaluation of the wind resource using data observed since the commissioning of the existing park
• Characterization of intensity, direction, and turbulence
• Estimation of producible output (P50, P90) using real statistical distributions
• Implementation of periodic or real-time estimation, for several pre-recorded technologies and implantation scenarios
• Back-testing of Captured Spot Revenue according to scenarios