Grid Compliance & SCADA Engineer

Adani Wind; Ahmedabad District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Adani Wind is seeking a Performance Management Engineer in Ahmedabad, India to analyze wind turbine data and drive performance improvements. You will apply advanced analytics, assess efficiency and availability, and work with cross-functional teams to implement corrective actions.

Responsibilities include testing, validation of improvements, SCADA data management, and developing predictive maintenance strategies to reduce downtime.

Qualifications

• BE in Mechanical or Industrial Engineering required.
• 5+ years in performance analysis and optimization.
• Proficiency in data analytics, SCADA interpretation and continuous improvement.

Responsibilities

• Analyze wind turbine data to assess performance against benchmarks.
• Conduct optimization studies on blades, control systems and power curves.
• Assist in on-site troubleshooting with root cause analysis.
• Participate in testing and validation of performance improvements.
• Manage SCADA and data acquisition for real-time monitoring.
• Develop predictive maintenance and condition-monitoring strategies.
• Document analyses, tests, and implemented improvements.
• Ensure compliance with standards and collaborate with cross-functional teams.
• Support training and knowledge sharing to lift team capabilities.

Skills

Data analytics

SCADA interpretation

Root cause analysis

Performance optimization

Cross-functional collaboration

Education

BE in Mechanical or Industrial Engineering

Tools

MATLAB

Python

R

Job description

The Performance Management Engineer is responsible for analyzing wind turbine operational data to identify areas for performance improvement. This role uses advanced data analytics tools to assess turbine efficiency, power output, and reliability, conducting root cause analysis on performance deviations and implementing corrective actions. The Engineer participates in testing and validation of performance enhancements, such as control system updates and aerodynamic optimizations, and manages SCADA systems to ensure accurate data collection and monitoring. This role also involves supporting predictive maintenance initiatives by analyzing condition-based data and implementing maintenance strategies that reduce downtime. The Performance Management Engineer collaborates with cross-functional teams to align performance enhancement activities with overall product development goals and contributes to continuous improvement by proposing new methodologies and tools to optimize turbine performance.

Data Analysis and Performance Monitoring

• Analyze operational data from wind turbines to assess performance against expected benchmarks, including power output, efficiency, and availability.
• Use advanced data analytics software (e.g., MATLAB, Python, R) to identify trends, anomalies, and areas for improvement in turbine performance.

Performance Optimization and Troubleshooting

• Conduct performance optimization studies, focusing on areas such as blade aerodynamics, control system tuning, and power curve adjustments.
• Assist in troubleshooting performance issues on-site, using diagnostic tools to perform root cause analysis and implement corrective measures.

Testing and Validation of Performance Improvements

• Participate in the testing and validation of performance enhancement initiatives, including prototype testing and field trials.
• Collect and analyze test data to validate improvements, providing feedback to engineering teams for further refinement.

SCADA and Data Acquisition System Management

• Manage SCADA systems and other data acquisition tools, ensuring accurate and reliable data collection for performance analysis.
• Set up alarms, thresholds, and monitoring parameters to track key performance indicators in real-time.

Predictive Maintenance and Condition Monitoring

• Implement predictive maintenance strategies using data analytics to forecast potential failures and schedule proactive maintenance.
• Monitor condition-based data, such as vibration and temperature readings, to detect early signs of component wear and prevent performance drops.

Documentation and Reporting

• Maintain detailed records of performance analysis, tests conducted, and optimization measures implemented.
• Prepare performance reports, highlighting key findings, improvement opportunities, and corrective actions taken.

Compliance with Standards and Procedures

• Ensure all performance management activities comply with relevant industry standards and internal procedures, maintaining high data integrity and accuracy.
• Support the preparation of compliance documentation for certification and audits.

Collaboration with Cross-Functional Teams

• Work closely with product improvement, R&D, and operations teams to align performance enhancement activities with overall product development goals.
• Provide technical support and performance insights during the design and testing phases of new turbine components.

Training and Continuous Learning

• Engage in continuous learning and professional development to stay updated on the latest performance optimization techniques and tools.
• Participate in internal training programs and knowledge-sharing sessions to enhance skills and contribute to team development.

Adherence to Ethical Standards

• Adhere to organizational ethical standards in data handling, analysis, and reporting, ensuring transparency and objectivity in performance assessments.
• Participate in training on corporate policies, ethics, and compliance to uphold high professional standards.

Key Stakeholders - Internal:

• Lead - Performance Management
• QA Teams
• Manufacturing Teams

Key Stakeholders - External:

• Performance Monitoring Equipment Vendors
• Data Analytics Consultants

*Qualifications and Experience

Educational Background:

• BE in Mechanical or Industrial Engineering.

Work Experience:

• 5+ years in performance analysis and optimization, focusing on operational data, efficiency improvements, and maintenance strategy development.

Industry Knowledge:

• Proficient in data analytics, SCADA data interpretation, and applying continuous improvement methodologies to enhance turbine performance.