Senior Performance Engineer
3 months ago
- Collectclean and analyze large data sets related to power plantperformance modeling and prediction.
- Developpredictive models and algorithms to forecast power plantperformance and troubleshoot underperforming PV systems identifypotential component failures and modeling issues and recommendcorrective actions to meet guaranteed capacity and energyproduction targets.
- Proficiency withphotovoltaic performance modeling tools such as PVsyst PVlib PythonNREL SAM and other PV software andmodels.
- Proficiency in calculating differenttypes of plant and equipment loss such as but not limited tosoiling tracker temperature clipping inverter efficiency DC/ACwiring.
- Proficiency in calculating KPIs such asavailability (e.g. plant inverter and tracker) performance ratioand energy performance index by usingalgorithms.
- Assist data scientist and softwareteam in the development of programming code to automate internaland external reporting requirements andanalysis.
- Collaborate with crossfunctionalteams to develop and implement datadriven solutions that improveoperational efficiency and reduce costs.
- Workwith stakeholders to identify their requirements for data analysismodel development and performance optimization and work with theteam to deliver solutions that meet thoserequirements.
- Communicate findings andrecommendations to technical and nontechnical stakeholders in aclear and concisemanner.
- Mastersdegree in a relevant field such as computer science data sciencemath physics and/or engineering such as electrical and 5 years ofcombined experienced in performance engineering resource modeling(PVSyst) and data analytics.
- Strongunderstanding of photovoltaic system modeling and simulationpreferably with experience using PVLib andPVsyst.
- Two years of project managementexperience.
- Experience with Python R and/orother programming skills
- Experience in the useof business intelligence tools and other analytical tools (e.g.PowerBI Tableau Plotly Pandas NumPyMatplotlib)
- Proven track record of SCADAanalysis of discrete event time series and plant performanceassessment preferred
- Proficiency with databasequery language such as SQL
- Strong quantitativeanalytic skills with advanced MS Excel modeling skills (inc. VBAand/or macros).
- Experience with operationdesign and/or analysis of AC and DC electric powersystems.
- Data mining
- Strongcritical thinking skills and ability to work independently and aspart of a team.
- Excellent communication andinterpersonalskills.
- Experienceworking in the power industry specifically in performance analysisand modeling in the PV solarindustry
- Experience in conducting performanceevaluation of PV plant performance testing by using standards suchas ASTM and IEC.
- Knowledge of SCADA and DAS(e.g. AlsoEnergy GPM Powerfactorsetc.)
- Experience working in a cloud environment(e.g. AWS Azure).
- Knowledge of machine learningalgorithms and statistical methods.
- Databasemanagement skills preferred
- Familiarity withCMMS systems preferred
- PMP or other projectmanagementcertification
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