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Avangrid Renewables (recently renamed from Iberdola Renewables) owns and operates nearly 60 wind farms in the US. The company is the second largest owner of wind energy projects in the US, with more than 6,000 MW of owned and controlled renewable generation assets, which includes 3,000 wind turbines. It also has 636 MW of combined cycle gas turbine generation, 50 MW of solar generation, plus 55 MW of controlled biomass generation. The company has more than 750 employees in the US. According to company executives, it is focused on operational excellence and selective growth. 
Avangrid Renewables collects a wide variety of data from many different sources. However, in the past it faced challenges when it came to gaining useful insight from this data (a problem common across many industries). Particularly problematic was the difficulty in determining and documenting lost generation across its wind turbine fleet due to voluntary generation curtailment to meet contractual obligations. This inability to calculate curtailment values means lost revenue. In the US, wind generation companies must curtail wind power generation at certain times, both to balance supply and demand under contractual obligations with the local Independent Systems Operator (ISO) and to help ensure safe operation. The company collects a wide variety of time series and other data from its wind turbines and other operational assets, plus weather systems, pricing systems, market data systems, etc., and responds to signals from the ISO. Data sources include the OSIsoft PI System, SAP, SCADA systems, SQL databases, and so on. The company wanted to investigate the data that was already in the OSIsoft system so that it could better visualize and understand the data. The company was using a number of analytic tools that allowed it to analyze the data, but found these to be difficult and time consuming to use. To alleviate the situation, Avangrid Renewables deployed data investigation and discovery technology from Seeq, a new company in this space with a fresh approach to helping industrial organizations gain business value from their data. By investigating and organizing the data using Seeq and then exporting the results to Excel, Avangrid Renewables was able to add price information and determine the cost of the curtailments to the company. It estimates that the technology can document revenue opportunities between $30,000 to as much as $100,000 per year depending upon the ISO contract, wind curtailment, and wind availability. “With Seeq we were able to isolate events, add analytics, and determine what was happening in just hours. In the past, this would have taken days or weeks,” commented Mr. Brandon Lake,Senior Business Systems Analyst at Avangrid Renewables. To read more about this application refer to the recent ARC report “Wind Farm Operator Investigates Time Series Data to Help Monetize Curtailed Generation.”
Avangrid Renewables collects a wide variety of data from many different sources. However, in the past it faced challenges when it came to gaining useful insight from this data (a problem common across many industries). Particularly problematic was the difficulty in determining and documenting lost generation across its wind turbine fleet due to voluntary generation curtailment to meet contractual obligations. This inability to calculate curtailment values means lost revenue. In the US, wind generation companies must curtail wind power generation at certain times, both to balance supply and demand under contractual obligations with the local Independent Systems Operator (ISO) and to help ensure safe operation. The company collects a wide variety of time series and other data from its wind turbines and other operational assets, plus weather systems, pricing systems, market data systems, etc., and responds to signals from the ISO. Data sources include the OSIsoft PI System, SAP, SCADA systems, SQL databases, and so on. The company wanted to investigate the data that was already in the OSIsoft system so that it could better visualize and understand the data. The company was using a number of analytic tools that allowed it to analyze the data, but found these to be difficult and time consuming to use. To alleviate the situation, Avangrid Renewables deployed data investigation and discovery technology from Seeq, a new company in this space with a fresh approach to helping industrial organizations gain business value from their data. By investigating and organizing the data using Seeq and then exporting the results to Excel, Avangrid Renewables was able to add price information and determine the cost of the curtailments to the company. It estimates that the technology can document revenue opportunities between $30,000 to as much as $100,000 per year depending upon the ISO contract, wind curtailment, and wind availability. “With Seeq we were able to isolate events, add analytics, and determine what was happening in just hours. In the past, this would have taken days or weeks,” commented Mr. Brandon Lake,Senior Business Systems Analyst at Avangrid Renewables. To read more about this application refer to the recent ARC report “Wind Farm Operator Investigates Time Series Data to Help Monetize Curtailed Generation.”