Economic analysis of Lidar-based proactively controlled wind turbines

Rachit R. Mathur, Jennifer A. Rice, Andrew Swift, Jamie Chapman

    Research output: Contribution to journalArticlepeer-review

    2 Scopus citations


    This paper analyzes the financial feasibility and the investment attractiveness of a wind farm that uses a Lidar unit for proactive turbine controls. A thorough technical analysis is performed for evaluating the effectiveness of the Lidar for proactive blade pitch control. It is observed that using a Lidar for individual blade pitch control results in a significant reduction of the blade root damage equivalent loads. Furthermore, a pro-forma cashflow based economic tool is developed for modeling, comparing, and analyzing wind energy projects. This tool utilizes capital budgeting tools such as net present value, internal rate of return, equivalent annual annuity and payback period for analyzing investment attractiveness. Moreover, this paper utilizes wind conditions, costs and expenses, financing schemes, incentives, and operational strategies for analyzing wind projects with or without Lidars. The component fatigue load reduction achieved using Lidar based control can either be used to increase the useful life of the farm or to up-rate (repower) the turbine for the same operational life. This work analyzes the financial impacts of each of the aforementioned scenarios for a range of wind conditions. Also, the financial impact of PTC availability on a Lidar-assisted wind project has been analyzed in this research.

    Original languageEnglish
    Pages (from-to)156-170
    Number of pages15
    JournalRenewable Energy
    StatePublished - Apr 1 2017


    • Anticipatory control
    • Lidar-based blade pitch control
    • Operational life
    • Up-rating
    • Wind farm financial feasibility


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