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Graduate Intern -Smart grid co-simulation and analysis
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Job Description

Design and implement code enhancements to a Python-based co-simulation platform and then use it to evaluate the impacts of the interaction of solar and emerging consumer technologies under different rate structures. The co-simulation platform, the Integrated Energy Systems Model (IESM), has been under development at NREL since 2014 and has previously been used to demonstrate the system impacts of high penetrations of home energy management systems (HEMS) on distribution systems under various tariff structures.

The current project will provide insights into the expected performance of a portfolio of households with both rooftop PV systems and controllable consumer technologies under an emerging tariff design. Consumer technologies may include home energy management systems (HEMS), electric vehicles (EVs), battery energy storage systems (BESS) and smart thermostats coupled with air conditioners (A/C) and water heaters.

Project tasks include: Develop code enhancements as required. Verify that the code enhancements provide the required functionality through simulation of test cases. Perform simulations, record and analyze results. Design and create compelling graphs to present data. Contribute to a technical report on results and provide input to technical publications and presentations.

Follow all Environment, Safety, and Health policies and procedures to ensure and maintain a safe working environment.


Required Education, Experience, and Skills

Must be enrolled as a full-time student in a degree granting program, or graduated in the past 12 months from an accredited institution. Internship period cannot exceed 12 months past graduation. Minimum of a 3.0 cumulative grade point average. Please Note: Before interview selection, you will need to provide unofficial transcripts to verify GPA and full time enrollment.


Preferred Qualifications

Relevant M.S. in electrical or computer engineering or equivalent. Ideal candidates will have experience using GridLAB-D, a quasi-steady state time series (QSTS) power system simulation tool and SimPy, a discrete-event simulation framework based on standard Python. Excellent analysis Python skills using Pandas would be a plus.


Submission Guidelines

Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.


EEO Policy

NREL is dedicated to the principles of equal employment opportunity. NREL promotes a work environment that does not discriminate against workers or job applicants and prohibits unlawful discrimination on the basis of race, color, religion, sex, national origin, disability, age, marital status, ancestry, actual or perceived sexual orientation, or veteran status, including special disabled veterans.

NREL validates right to work using E-Verify. NREL will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. For additional information, click here.

About National Renewable Energy Laboratory

At NREL, we focus on creative answers to today's energy challenges. From breakthroughs in fundamental science to new clean technologies to integrated energy systems that power our lives, NREL researchers are transforming the way the nation and the world use energy.