Company Overview
Sprng Energy is a renewable energy platform set up in India by Actis, with a total commitment of US$450mn of equity from Actis Energy Fund 4 to set up c.2GW of renewable energy capacity (solar and wind) in the next 4-5 years. In Feb 2017, Solenergi - a 100% Mauritius based holding company of Sprng Energy Private Limited participated in the Rewa solar park auction and won a 250MW PPA, which is currently under development
Job Description
To lead Analytics and Control Monitoring team.
Weekly and Monthly Assessment & Comparison of Assets Performance based on
SCADA data.
Preparation of performance improvement plans and ensure effective
implementation
Turbine performance monitoring by power curve analysis.
Periodically Performance check of each WTGs as per availability of wind regime
Energy & Time-based availability calculations.
Monthly assessment of all the losses actual versus contractual warranties.
Root cause Analysis for major breakdown or repetitive breakdowns.
Correlation of performance between turbine to turbine in the windfarm
Assess & report to management for all critical parameters, if any Inconsistencies in nacelle
anemometry, Yaw misalignment, turbine degradation.
Impact analysis of Power curtailments by utilities.
Impact analysis of turbine de rating due to turbine related issues and environment
parameters outside design limits.
Monitoring details of Generation, PLF, Repeating errors, major breakdown etc.
Requirements
Qualification: B Tech preferably M Tech.
Experience: 12 to 14 years of experience in Analytics. Performed as Team Lead is
preferable.
Additional Information
To ensure eco system for reliable SCADA data availability centrally.
To ensure effective real time remote monitoring control room operations.
To ensure systematic storage and retrieval of SCADA data including backup
system.
Validate windfarm availability reports from OEMs with SCADA data.
Operational assessment of all WTGs locations from daily/weekly site reports and
comparison with expected energy output from each WTGs.
Monitoring power curve performance of all turbines using MAST data.
Long term wind speed comparison using MERRA data on monthly basis.
Monthly assessment of all the losses versus contractual warranties.
Correlation of performance between turbine to turbine in the windfarm
Monitoring Energy & Time-based availability.