Solar Integration National Dataset Toolkit
The Solar Integration National Dataset (SIND) Toolkit will enable researchers to perform regional variable generation integration studies by providing complete, current, and coherent solar power data, information, and tools.
Variable generation integration studies have evolved from determining if high penetrations of variable generation are possible to evaluating the challenges of and solutions for an electric power system with them. As system topology, operation practices, and power markets evolve, system operators will need to rapidly simulate new conditions. The foundation of system simulations is a coherent dataset that accurately represents the conditions systems are likely to experience.
Work is under way to create a national wind resource dataset and integration study toolkit. The SIND Toolkit is a complementary national solar dataset and tools. Together, these pieces will complete the Variable Generation Integration Study Toolkit.
The development of the Western Wind and Solar Integration Study and Eastern Wind Integration and Transmission Study datasets greatly advanced the modeling of wind and solar power production profiles. From these projects, NREL will incorporate lessons learned to create synchronous national wind and solar data.
This project leverages NREL's extensive experience and innovative research in solar power analysis, deployment, and integration. However, a number of challenges exist. Among them are minimizing the uncertainty of the tools, models, and datasets; integrating disparate tools, models, and datasets; and coordinating resource characterization and grid integration efforts. To address these issues, NREL has teamed with the University of Wisconsin.
The goals of the SIND Toolkit project are to:
- Create a new national solar database with higher temporal and spatial resolution
- Provide public access to this data to reduce the costs and risks of integrating solar power systems into the electric power grid.
For More Information
For more information about the SIND Toolkit, see the following resources:
NREL Develops Sub-Hour Solar Power Data Set
This fact sheet explains how NREL data will help utilities incorporate solar energy into their electric power systems.
Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis
High-penetration renewable integration studies need high-quality solar power data with spatial-temporal correlations that are representative of a real system. This paper summarizes research that led to the development of an algorithm for generating coherent subhour datasets that span distances ranging from 10 to 4,000 km.