11 Aug
|
SolarSquare
|
Maharashtra
11 Aug
SolarSquare
Maharashtra
● Performance Ratio (PR) Tracking: Monitor and analyze the PR and Capacity Utilization Factor (CUF) for MW-scale plants, ensuring they meet contractual obligations. ● Deep Data Analytics: Use Python, R, or advanced MS Excel/Google Sheets to analyze large datasets from SCADA systems to identify degradation trends or equipment underperformance ● Lost Energy Attribution: Calculate energy losses specifically due to grid downtime, clipping, soiling, and thermal effects to provide a transparent "Actual vs. Theoretical" generation gap analysis. ● Forecasting & Modeling: Use PVSyst or Meteonorm data to create generation forecasts and compare real-time data against weather-adjusted benchmarks. ● Soiling Analysis: Analyze soiling losses to optimize cleaning cycles for MW-scale sites, balancing cost vs. generation gain. ● Reporting: Prepare high-level technical reports for stakeholders, highlighting monthly generation health and proposing corrective actions for system-level inefficiencies. Qualifications and Skills ● Education:
B.Tech/M.Tech in Electrical Engineering, Data Science, or Renewable Energy. ● Experience: Minimum 7 years, specifically in solar data analytics or performance engineering for MW-scale plants. ● Software Proficiency: Expert level in MS Excel and SCADA systems. Proficiency in PVSyst and data visualization tools (like Power BI or Tableau) is preferred. ● Technical Knowledge: Deep understanding of PV system, inverter efficiency curves, and different losses. ● Analytical Mindset: Ability to diagnose complex issues like PID (Potential Induced Degradation) or string-level mismatch from remote data. ● Location: PAN India (Bhopal/Mumbai preferred) What We Offer ● A chance to work on large-scale utility assets within a fast-growing, mission-driven company. ● Competitive salary, health insurance, and specialized technical training programs. ● A collaborative environment that values data-backed d
📌 Solar Analyst (Maharashtra)
🏢 SolarSquare
📍 Maharashtra