How Does Advanced Analytics Help You Take Corrective Actions and Increase Yield?

How Does Advanced Analytics Help You Take Corrective Actions and Increase Yield?

Operations and maintenance strategies have evolved significantly in recent years, especially with the advent of artificial intelligence. The maintenance of renewable energy plants now relies heavily on data analytics, enabling a shift from reactive to prescriptive maintenance.

Bazefield Advanced Analytics (AA) offers a blend of corrective, predictive, and prescriptive analyses. Its advanced physics-based and machine-learning algorithms detect potential failures by providing early warnings, enabling timely interventions and repairs. Bazefield AA also provides a set of key performance indicators (KPIs) that help implement profitable day-to-day operations and maintenance strategies.

Most popular features for Advanced Analytics:

1. Soiling Losses Analysis: Solar AA recommends optimal dates for cleaning based on historical soiling rates, significantly reducing labor and time costs. This analysis also facilitates seamless communication between field operators and O&M managers, especially when managing assets remotely.

2. Cost-effective Recommended Actions: Advanced Analytics suggests corrective actions to resolve issues cost-effectively and calculates the impact of unresolved problems. This capability allows for advanced reporting and decision-making, focusing on achieving high yield through informed, long-term strategies. Some examples of this feature include recommendations on the AC side for unit failures or curtailment, and at the DC side for backtracking issues, inter-array shading, or string and combiner box disconnections.

3. Sensor Health Analysis: Solar Advanced Analytics provides detailed insights into sensor health and offers tips for fixing or replacing faulty sensors. This helps clients understand failure patterns and establish best practices based on accurate data.

4. Wind Drive Train Failure Analysis: This analysis predicts potential failures of wind turbine components, allowing clients to proactively address issues before they occur. By planning ahead, clients can mitigate risks, reduce downtime costs, and manage supply chain expenses effectively.

5. Waterfall Reporting: Advanced Analytics automates data collection, analysis, and reporting. The waterfall reporting feature enhances the ability of Asset Managers and Performance Engineers to study data and insights for improved decision-making.

Bazefield Advanced Analytics provides actionable insights based on precise data and offers recommendations to streamline operational workflows, extend equipment lifespan, and maximize asset profitability, ultimately leading to increased production capacity.

Ready to transform your operations and maintenance strategy?