Power Plant Engineering

Raghav Krishnamurthy adcber@r.postjobfree.com

https://www.linkedin.com/in/raghavkrishnamurthy +91-861******* Work Experience

Senior Reliability Engineer – Miasole Hi Tech Corp, Santa Clara, California Oct’17 – Jan’20

● Developed product reliability, weathering and lifetime estimation models using accelerated lifetime testing in accordance with IEC61646, IEC61215 and IEC61730 standards and perform test-to-field correlations.

● Design tests to reproduce field failures and evaluate the reliability performance of consumer products and proposed design changes based on cost and performance requirements to drive product improvements.

● Familiar with use of Instron, high current EL imaging, and other diagnostic tools for understanding the physics of failure and work with failure analysis team for root cause analysis as well as relevant engineering teams on root cause corrective actions

● Coordinate tests and experiments to improve the reliability of new and existing designs using Design for Reliability (DFR) techniques, Failure Modes & Effects Analysis (FMEA), Physics of Failure (PoF), HALT and HAST techniques to properly exercise critical items under reliability demonstration tests.

● Provide reliability support for program and functional teams (reliability demonstration plans definition, root cause determination, quality issues impact assessment and risk identification, FMEA, DOE, accelerated life testing)

● Responsible for the overall scheduling and execution of the qualification and reliability tests and ensure optimal use of manpower and equipment

Graduate Research Assistant – ASU Photovoltaic Reliability Laboratory Feb ‘16 – July ‘17 Performance evaluation of crystalline silicon modules using single cell coupons

● Fabricated single-cell mini modules using semi-automated stringer-tabber machine and PV module laminator

● Performed PV Module performance and reliability tests like IV curves, Electroluminescence (EL), (IR) Imaging, Wet and Dielectric test, reflectance and transmittance testing etc. in accordance with IEC61216 PV module recycling in association with SRP and EPRI (Master’s thesis)

● Conducted a comprehensive literature search on existing PV recycling technologies and regulations in the United States

● Created a standardized sample extraction protocol using coring and other destructive testing techniques Performance Evaluation and Power Degradation of various types CIGS Solar Modules in Dry and Hot Climate

● Installed multiple CIGS modules on rooftop at different configurations and maintained them at the MPPT point by using a dc-dc converter

(optimizer) and using current shunt to measure the constant current, thermocouples to record the temperature

● Coded and installed a Campbell Scientific data logger to record minute by minute current, voltage and temperature data

● Analyzed linearity of the power degradation data and obtained energy charts using MS Excel and Minitab Research Intern - Salzer Elecronics, Coimbatore, India Jun ‘14 – Jul ‘14

● Co-ordinated with techno-managerial staff in the factory to determine root cause for system faults or disturbances

● Familiarized with customer drawings and specifications for switchgears, UPS systems, DC Battery systems, modular electrical equipment centers and other associated equipment

Academic projects

Design of a residential scale grid tied PV system

● Designed a residential PV system which can provide 80% of the total energy requirement of the residence

● Analyzed each sub system design based on the National Electrical Code 2014 (NEC) requirements and validated using PVWATTS and NREL System Advisor Model (SAM)

● Economic analysis and financial modelling of the system was done using SAM to calculate the LCOE and payback period Unmanned Aircraft Systems for Power plant monitoring and PV O&M

● Monitored a solar power plant using a drone and obtained images of the modules, junction box, cables and grid lines

● Outlined an extensive literature survey on existing regulations and technologies

● Generated a MATLAB program to identify hotspots and browning in modules using image processing Identification of trends in Nonlinear Time Series using Neural networks and Perceptually Important Points (PIP)

● Modelled a new algorithm for identification and prediction of trends in stock time series with nearly 1 million data points using MATLAB. Data points were clustered and subjected to dimensionality reduction using PIPs

● Stock series data from India, USA, Brazil and UK were used and predicted with 98% accuracy Education

Master of Science in Engineering,Arizona State University at the Polytechnic Campus 3.80 May ‘17 Bachelor of Technology,Electronics and Instrumentation Engineering, Amrita School of Engineering, India 3.21 May ’15 Relevant coursework

Design of Experiments, Stochastic Operations Research, Simulating Manufacturing Systems, Reliability and Standards, Power Management, Evaluation of Photovoltaics, Applied Photovoltaics, Operations and Maintenance of PV systems Software skill set

Statistical: AMPL, JMP, ARENA, Minitab Design & Analysis: PVSyst, HelioScope, SAM

Programming: MATLAB, LabVIEW, Simulink Documentation and Management: SalesForce, PeopleSoft Certifications:Certified LEED Green Associate

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