The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy’s effort to secure an energy future that is both environmentally and economically sustainable. With locations in Golden, Boulder and Washington D.C., NREL is the primary laboratory for research, development and deployment of renewable energy technologies in the United States. The NREL mission is to develop renewable energy and energy efficient technologies and practices, advance related science and engineering, and transfer knowledge and innovation to address the nation’s energy and environmental goals.
An advanced undergraduate/graduate student internship position is available from the National Renewable Energy Laboratory's (NREL) Strategic Energy Analysis Center’s Forecasting and Modeling group in our Golden, Colorado office. NREL is the nation's primary laboratory for research, development and deployment of renewable energy and energy efficiency technologies. The immediate opening is to assist energy analysts in electricity system planning modeling and analyses. The position is full-time (40 hours per week) during the spring and/or summer semesters. The successful candidate may participate on a broad range of technology, market, and policy analyses that leverage power system modeling tools. Duties may include development of model inputs for renewable technologies or other components, analysis of power sector policies or regulations, analysis and characterization of scenario results, and modification and execution of electric system models.
Job Duties and Responsibilities:
The successful candidate will working with staff on the Regional Energy Deployment System (ReEDS) modeling team to conduct modeling and analysis of the electric power system in the U.S., Canada, and Mexico, including the impacts of modeling assumptions of power system evolution. Tasks may include:
- Researching, compiling, and analyzing electric power system data
- With guidance from senior staff, modifying existing ReEDS code in order to implement a variety of policies and assumptions within the model
- Working with senior analysts to conduct modeling analysis exploring the impacts of a wide variety of assumptions and policies on power system evolution
Preferred Knowledge and Skills:
- Background in power systems, energy economics, policy analysis, or engineering, and basic experience working with models
- Experience with optimization
- Proficiency with GAMS, R, or Python
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.