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Sprng Energy Pvt. Ltd. has been awarded the “Project of the Year – Asset Management” at RE Assets for its exemplary operational performance and advanced asset management practices at the Khageshree Wind Project (197.5 MW).
The recognition highlights Sprng Energy’s focused interventions to enhance system reliability, minimize downtime, and optimize energy generation across the wind project. To prevent internal feeder tripping, Sprng successfully implemented 33 kV insulated jumpers on 33 kV pole lines, significantly improving electrical reliability and operational stability.
A robust 24×7 turbine monitoring framework, deployed as a second layer of supervision alongside the Envision team, has enabled rapid fault detection and resolution, resulting in one of the lowest turbine fault reset times at the project. Further strengthening predictive maintenance, Sprng initiated a pilot condition monitoring program using electrical signature analysis, assessing the health of key mechanical components through WTG generator output signatures.
Sprng Energy’s disciplined execution of plant O&M activities and continuous improvement initiatives have translated into industry-leading performance. The Khageshree Wind Project achieved an impressive 98.58% Reporting Availability (RA) during FY 2025–26 (April 2025 to November 2025). Since COD, the plant has consistently delivered high operational reliability, recording Plant Energy-Based Availability (EBA) of 98.53% and Time-Based Availability (TBA) of 97.22%.
The project has also demonstrated exceptional grid and market performance, with forecasting accuracy resulting in DSM deviation of just 0.49% in FY 2024–25. Since COD, the project’s DSM penalty has been maintained at only 0.5%, reflecting strong forecasting and grid integration capabilities.
The Project of the Year – Asset Management award at RE Assets underscores Sprng Energy’s ability to combine engineering precision, proactive monitoring, and data-driven decision-making to maximize asset value and set new benchmarks in wind project operations.
