ServusNet process enormous amounts of data into decisions.

HARVESTING ACTIONABLE INSIGHTS FROM MACHINE,

OPERATIONS, METEOROLOGICAL AND MARKET DATA

Asset Management

ASSET PERFORMANCE AND AVAILABILITY OPTIMISATION

DESCRIPTIVE AND DIAGNOSTIC ANALYTICS
Asset Performance
Is my Lost Production due to Poor Turbine Performance?
Which Turbines are Least Efficient?
How Does Wind Direction Affect Production?
Reliability and Availability
Which are my Least Reliable Turbines?
Do I have a Serial Defect in the Fleet?
Which Components Drive Down Availability?
Yield Improvement
Should I Implement Sector Management?
Will Blade Upgrades Significantly Improve Production?
What’s the Benefit of Enhanced Power Curve Characteristics?
Operational Efficiency
What are Highest Priority Tasks for my Ops Team?
Are my Warranty Services Effective?
How do I Adopt a More Proactive Maintenance Strategy?
How do Spares & Maintenance Impact Downtime?

Grid & Market Integration

GRID SCHEDULING AND ENERGY MARKET PARTICIPATION

MODELLING AND PREDICTION
Grid Scheduling
More Accurate Commits to System Operator
Reduced Exposure to Balancing Costs
Revenue Driven Maintenance
Fine tune Maintenance Planning by Turbine
Minimise Revenue Impact
Energy Trading
Increased Day-Ahead and Intra-Day Market Participation
Trade Higher Proportion of Output
Generation Portfolio Balancing
Schedule and Trade Mixed Fossil/ Renewables Portfolio
Optimise Fuel Mix to Reduce Costs

ServusNet Solutions

Improving Asset Performance, Availability and Predictability
Wind Operations Analytics

  • Energy Production
  • Power Curve Characterisation
  • Turbine Efficiency
  • Performance & Site Wind Regime
  • Operational & Contractual Availability
  • Outage & Reliability Profiling
  • Alarm Profiling
  • Physical & Electrical Parameter Trending

More

Wind Operations Analytics

Fleet Management Challenges

Operations

Site Performance Analysis

Complex Availability Calculations

End of Warranty Assessment

Maintenance

Identifying Performance and Outage Drivers

Isolating Serial Defects, Adverse Trends and Anomalies

Operations Team Task Prioritization

Data Management

Large Volumes and Inconsistent Quality

Multiple Data Types (Statistics, Alarms, BOP) and Conflicting Definitions

Limited Analytics Capability

Advanced Functionality

Energy Production, and other User-Specific KPIs, by Turbine and Wind Farm

Performance Patterns and Site Wind Regime

Outage and Reliability by Subsystem and Component

Work Order and and Spares Consumption Integration

Data Integrity Analysis Tools

Site and Turbine Power Curve Characterisation

Operational and Contractual Availability

Alarm Correlation and Trending

Automated Regulatory Reporting

Extensive Range of Correlation and Anomaly Detection Algorithms

Real Benefits

Enhanced Production

Increased Asset Performance

Higher Uptime

Quantified Revenue-Impacting Incidents

Prioritized Potential Critical Issues

Analysis and Reporting Overhead Eliminated

Operating Efficiency

Informed Decision-Making

Targeted Corrective Actions

More Effective Evaluation of Upgrade Investments

Automated Monthly and Regulatory Reporting

Better Utilization of Precious Maintenance Team Resources

Investigative Analytics

Project-Specific Diagnostics and Investment-Driven Modelling

Insights on Your Specific Issues

Post-Commissioning Verification
Verification of Production, Availability & Wind Regime Targets

In-Warranty Health Check
Analysis of Performance Against Key Performance Indicators

End-of-Warranty Assessment
Evaluation of Performance, Availability & Serial Defect Trends

Yield Improvement Investments

Estimation of Return on Yield Enhancement Investments

Data-Driven Due Diligence
Owner or Investor Transactions

Analytics Suite

Asset Health Check

Production and Availability Anomalies

Component Failure Profiles

Event Timelines and Clusters

Power Curve Anomalies

Yaw Error Distributions

Blade Condition

Fleet Behaviour Characterisation

Turbine and Site Performance Dynamics

Wind Regime Characterisation

High Wind Speed Behaviour

Micro-siting and Topographic Effects

Curtailment Rate and Curtailed Power

Decision Support

Predictive Maintenance Strategies

Performance Upgrade Investments

Sector Management Implementation

Reliability and Corrective Actions

About ServusNet

 

ServusNet was founded by a team of experienced software engineers and data scientists who understood that the energy sector was experiencing the data deluge that had already occurred in other industries.

In particular, wind turbine fleets were, and still are, generating large volumes of data, yet isolating the critical performance, reliability and revenue drivers remains a real challenge.

We created software tools and solutions to unlock the value in this data to help manage assets more effectively and provide insights to guide fleet investment decisions.

We offer an extensive range of analytics services designed to investigate specific issues and opportunities. We employ diagnostic analysis as well as modelling and simulation techniques to help evaluate the business cases around performance upgrade features, energy scheduling and complex asset behaviour.

Contact Us

ServusNet Informatics Ltd.,
National Software Centre,
Mahon,
Cork,
T12 K5CY
Republic of Ireland.

Phone:   +353 21 7304649
Email:   info@servusnet.com