A significant drop in Indian wind resource and wind farm production explained by ArcVera

ArcVera’s experts applied advanced atmospheric science methods to explain the inter-annual variability anomalies of the wind energy resource in India.  Annual wind farm performance expectations depend on the long-term accuracy of wind energy resource assessment.  Each year, a wind farms’ performance is typically evaluated by its owner and operator stakeholders to make sure that the variations in the production of the wind farm are explained by variations of the actual wind resource. Lower wind resources can result in significant revenue reduction, testing owners’ and investors’ nerves and their seeking of answers to what can be expected for future performance. To which C.R. Anbalagan commented “Based on a review of meteorological weather records, the low wind speeds were caused by a combination of regional and global meteorological factors that seldom occur simultaneously, explains C.R. Anbalagan, “The proper utilization of advanced atmospheric science knowledge is critical to understand wind farm past and future performance. ArcVera has a long history of providing the wind industry with its weather forecast acumen and wind energy resource assessment expertise to evaluate and predict future, long-term performance.” After analysing, ArcVera Renewable has deployed its proven methodology using wind farms’ past energy production and other data to assess wind farm performance. Its technical experts gathered relevant recent and climatologically historical (30-60 year monthly) data for the region or regions of interest, including El Niño/ La Niña and other climate indices. They then compared frequency-of-return statistics for recent periods of low winds and prepared a report describing the results and including discussion of the recent event and return-time based on 30 to 60-year analysis.

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