Exus unveils Pitch Power tool promising double digit wind farm gains
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Exus Renewables North America has introduced its first performance optimization product for the United States wind sector. The company’s new ExusIQ Performance Optimization Suite debuts with Pitch Power+, a software tool designed to identify and resolve turbine inefficiencies with minimal disruption to operations. The platform aims to improve annual energy production by between 1.5 percent and 15 percent per turbine, a range that represents significant revenue potential for asset owners.
The launch comes at a time when wind farm operators face mounting pressure to extract more value from existing infrastructure. With new project development constrained by permitting timelines and supply chain complexity, the focus is shifting to optimizing current assets. Pitch Power+ directly addresses this demand through a combination of data analytics, engineering expertise, and targeted diagnostics that can be applied across diverse turbine fleets.
The technical edge of Pitch Power+
Pitch Power+ works by analyzing the relationship between a turbine’s power curve and its blade pitch behavior. Deviations in these patterns can indicate sensor malfunctions, incorrect control parameters, or blade misalignment, all of which can erode output. By detecting such issues early, the software enables corrective action before energy losses accumulate.
Unlike conventional performance checks that often require extended data collection periods or on-site inspections, Pitch Power+ delivers insights using operational data already generated by the turbines. This approach reduces downtime and allows operators to incorporate the tool into routine monitoring processes. The system complements existing SCADA infrastructure while offering a layer of performance analysis that standard monitoring systems may not provide.
In addition to fault detection, the tool can validate the impact of adjustments over time, creating a feedback loop that supports continuous improvement. This aligns with industry trends toward real time monitoring, predictive maintenance, and AI-driven analytics in renewable energy asset management.
Market context and competitive landscape
The global market for wind farm software is expanding as operators seek to improve reliability and return on investment. Growth in installed capacity has increased the volume of operational data available for analysis, and advances in cloud computing have made high-resolution modeling accessible to more asset owners. Technologies such as digital twins and machine learning algorithms are now being applied to optimize turbine control strategies and site layouts.
Competitors in this space include Breeze, a wind farm management platform with a focus on portfolio reporting, WindFarmer from DNV, which specializes in energy production modeling, and ONYX Insight, a condition monitoring service with engineering support. UL Solutions’ Openwind platform is used for wake modeling and layout optimization, while a number of CFD-based tools target resource assessment and site design.
Exus positions Pitch Power+ as a targeted performance optimization solution rather than a broad asset management platform. This focus could appeal to operators looking for measurable performance gains without committing to a full software ecosystem overhaul.
The financial and strategic stakes
Incremental improvements in turbine output can have a disproportionate effect on project economics. For a 200-megawatt wind farm operating at an average capacity factor, a 5 percent gain in annual energy production could add millions of dollars in revenue over the asset’s lifetime. Such improvements also strengthen the business case for long term investment in renewable energy infrastructure.
From an operational standpoint, earlier detection of underperformance allows maintenance teams to plan interventions around weather windows and resource availability, reducing both cost and lost production time. Better performance data also enhances forecasting accuracy, which in turn supports financing, hedging, and power purchase agreement negotiations.
For institutional investors, the ability to validate performance improvements with data can increase asset valuation. This aligns with a broader industry shift toward data-driven decision making in energy portfolio management.
Looking ahead
Pitch Power+ marks the first step in Exus’s plan to roll out additional optimization tools under the ExusIQ brand. The company aims to address other sources of inefficiency across the turbine lifecycle, potentially expanding into yaw alignment, gearbox health monitoring, and wake loss mitigation.
The company’s next challenge will be to prove the tool’s value across different turbine models and operating conditions. Early adoption will depend on whether Pitch Power+ delivers consistent gains in varied environments.
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