Economic analysis of Lidar-based proactively controlled wind turbines. (April 2017)

• Record Type: Journal Article
• Authors: Mathur, Rachit R.; Rice, Jennifer A.; Swift, Andrew; Chapman, Jamie
• Is Part Of: Renewable energy. Volume 103(2017)
• Page Start: 156
• Page End: 170
• Publication Date: 2017-04
• Subjects: Lidar-based blade pitch control -- Wind farm financial feasibility -- Anticipatory control -- Up-rating -- Operational life; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2016.10.069
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: 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. Highlights: Financial feasibility of Lidar based wind turbine controls is analyzed. A pro-forma cashflow tool is developed for modeling, comparing & analyzing projects. Identifies critical factors that affect financial feasibility of wind projects.