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Wind and Structural Loads on Heliostats

Wind loading is a main contributor to structural design costs of Concentrating Solar Power (CSP) collectors, such as heliostats. These structures must resist the mechanical forces generated by turbulent wind. At the same time, the reflector surfaces must exhibit the necessary rigi...
Egerer, U. et al National Laboratory of the Rockies (NLR)
Dec 24, 2025
4 Resources
0 Stars
Publicly accessible

Wind and Structural Loads on Parabolic Trough Solar Collectors at Nevada Solar One

Wind loading is a main contributor to structural design costs of Concentrating Solar Power (CSP) collectors, such as heliostats and parabolic troughs. These structures must resist the mechanical forces generated by turbulent wind. At the same time, the reflector surfaces must exhi...
Egerer, U. et al National Renewable Energy Laboratory (NREL)
Oct 01, 2021
4 Resources
0 Stars
Publicly accessible

LLMs for EV Infrastructure Permitting

The Electric Vehicle (EV) charging permitting processes' database is a novel, multi-jurisdictional resource designed to contain the required codes and compliances in a structured database. Within this database are three tables, each structured with 287 columns, designed to capture...
Renganathan, U. et al National Laboratory of the Rockies (NLR)
Sep 24, 2025
12 Resources
1 Stars
Publicly accessible

Bias Corrected Near-Surface Wind Data for Solar Field Siting

Site-specific wind conditions impact the collector field of concentrating solar power (CSP) plants and tracking photovoltaic (PV) utility plants during the design, installation, operation and maintenance of the field. Despite its importance. Most numerical weather models provide w...
Emes, M. et al National Laboratory of the Rockies (NLR)
Jun 12, 2026
0 Resources
0 Stars
In progress

INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements

The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
0 Stars
Publicly accessible