Research Output per Year
Research Output per Year
Overview
Personal Profile
Galen Maclaurin is the group manager of the Geospatial Data Science Group in the Strategic Energy Analysis Center.
His research focuses on techno-economic assessment and potential generation capacity of renewable energy technologies at national and continental scales. He leads a geospatial modeling team that develops scalable, innovative methods for understanding the barriers and opportunities for deployment of utility-scale solar and wind plants from a cost-performance perspective.
Research Interests
Geospatial examination of land use, ecological, and social acceptance considerations for renewable energy deployment
Uncertainty in meso-scale renewable energy resource data
Opportunities for deployment driven by technology innovation and cost reductions
Interplay between policy, land ownership, and energy markets in the viability of wind, solar, and transmission projects
Wind and solar resource assessment
System performance and financial modeling
Predictive modeling and remote-sensing image analysis
Scientific programming and high-performance computing
Professional Experience
Group Manager, NREL (2015–Present)
Lecturer and Graduate Faculty, University of Colorado Denver (2016–2018)
Research Assistant, National Center for Atmospheric Research (2013–2015)
Graduate Instructor and Research Assistant, University of Colorado Boulder (2008–2010)
Education/Academic Qualification
Bachelor, Geography and Spanish, University of Colorado
PhD, Geography, University of Colorado Boulder
Master, Geography, University of Colorado Boulder
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Geothermal Uncertainty Representation in reV: the Renewable Energy Potential Model
Trainor-Guitton, W., Pinchuk, P., Thomson, S.-M., Olson, R. & Maclaurin, G., 2024. 10 p.Research output: Contribution to conference › Paper
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Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine
Benton, B., Buster, G., Pinchuk, P., Chernyakhovskiy, I., Glaws, A., King, R. & Maclaurin, G., 2024, 34 p.Research output: NREL › Presentation
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Development of a Geothermal Module in reV: Quantifying the Geothermal Potential while Accounting for the Geospatial Intersection of the Grid Infrastructure and Land Use Characteristics
Pinchuk, P., Thomson, S.-M., Trainor-Guitton, W., Buster, G. & Maclaurin, G., 2023, p. 2564-2586. 23 p.Research output: Contribution to conference › Paper
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Exploring the Impact of Near-Term Innovations on the Technical Potential of Land-Based Wind Energy
Roberts, O., Williams, T., Lopez, A., Maclaurin, G. & Eberle, A., 2023, 50 p.Research output: NREL › Technical Report
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Wind Resource Data for Southeast Asia Using a Hybrid Numerical Weather Prediction with Machine Learning Super Resolution Approach
Rosencrans, D., Benton, B., Buster, G., Glaws, A., King, R., Lundquist, J., Gu, J. & Maclaurin, G., 2023, 39 p.Research output: NREL › Technical Report