NREL Commercial Buildings Research Engineer –Energy Modeler (Intermediate) in Golden, Colorado
Commercial Buildings Research Engineer –Energy Modeler (Intermediate)
CO - Golden
Hours Per Week
The Commercial Buildings Research Group at NREL has an energy modeler position available. The successful applicant will be responsible for research-level energy analyses, with a focus on research relevant to the commercial buildings sector. Work will consist primarily of using EnergyPlus, OpenStudio, and URBANopt to develop and analyze building energy models, from the individual building to campus/district scale. The successful applicant will work collaboratively to identify design and operational strategies that allow buildings to operate as efficient, grid-integrated resources, and will work with industry to facilitate the realization of the next generation of commercial buildings. The hired candidate will be expected to publish relevant research outcomes in peer-reviewed scientific journals and must be comfortable working across teams to remove uncertainty from project requirements and build consensus around outcomes.
Relevant master’s degree, or relevant bachelor's degree and two or more years of experience.
Strong understanding of building science principles, theories, and concepts, including thermodynamics and heat transfer.
Exposure to energy modeling with EnergyPlus or OpenStudio.
Strong technical writing skills.
Required Education, Experience, and Skills
Relevant Master's Degree . Or, relevant Bachelor's Degree and 2 or more years of experience . General knowledge and application of engineering technical standards, principles, theories, concepts and techniques. Training in team, task or project leadership responsibilities. Intermediate abilities and knowledge of practices and techniques. Beginning experience in project management. Good writing, interpersonal and communication skills.
A demonstrable history of using energy modeling tools to successfully model commercial buildings.
An understanding of the energy-related challenges and opportunities inherent in designing and constructing campus- and community-scale developments, especially those pursuing energy-efficiency or zero-energy goals.
Proficiency with experimental design principles, uncertainty analysis, and basic and advanced statistical analysis methods.
Experience designing, evaluating, and modeling advanced HVAC systems.
Functional knowledge of either Ruby or Python.
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