Ted Kwasnik is a researcher in the Energy Systems Modeling and Analysis group with interests in distributed energy resources (DER) and emerging technologies that facilitate renewable energy adoption and energy efficiency. He collaborates across the lab to contribute to REopt and URBANopt as well as other grid simulation models to explore future DER deployment scenarios. He brings a background in geospatial analysis, agent-based modeling, and wind and solar resource assessment.

Research Interests

DER optimization

Utility rate and load profile analysis for cost-optimal DER deployment

Scientific programming

High-performance computing

Full stack web development

Education

M.S., Civil & Environmental Engineering (Atmosphere/Energy focus), Stanford University

B.A., Environmental Studies and Geography, Middlebury College

Featured Work

Quantifying Resolution Implications for Agent-based Distributed Energy Resource Customer Adoption Models, NREL Technical Report (2019)

Thermal Energy Yield Potential for the Use of Concentrating Solar Power (CSP) for Coal Hybridization in India, NREL Technical Report (2019)

Market and Modeling Uncertainty in Distributed Solar Deployment Projections: A Multi-Model Comparison, NREL Technical Report (2018)

A Demonstration of Blockchain-Based Energy Transactions between Laboratory Test Homes,  ACEEE Summer Study on Energy Efficiency in Buildings (2018)

View all NREL publications for Ted Kwasnik.