Webinar: Transmission Planning for a High Renewable Energy Future
- https://www.greeningthegrid.org/news/webinar-transmission-planning-for-a-high-renewable-energy-future
- Webinar: Transmission Planning for a High Renewable Energy Future
- 2017-09-06T15:00:00-04:00
- 2017-09-06T16:00:00-04:00
- Lessons from the Texas Competitive Renewable Energy Zones Process
- When Sep 06, 2017 from 03:00 PM to 04:00 PM (America/New_York / UTC-400)
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10:00 a.m. EDT | 3:00 p.m. CEST
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The Clean Energy Solutions Center, in partnership with the United States Agency for International Development (USAID), the National Renewable Energy Laboratory (NREL), and the Electric Reliability Council of Texas (ERCOT), is hosting a no-cost, webinar-based training on Transmission Planning for A High Renewable Energy Future: Lessons from the Texas Competitive Renewable Energy Zones Process. This webinar is part of the GreeningTheGrid.org toolkit, a USAID and NREL collaboration designed to support countries in integrating renewable energy into the power system.
In 2005, the Texas power system developed a new approach to transmission system planning based on the designation of Competitive Renewable Energy Zones (CREZ). Designed to direct transmission expansion to the state's most productive wind energy resources, the implementation of CREZ has helped to enable the addition of more than 18 gigawatts of wind energy generation capacity to Texas's power system while overcoming technical issues such as curtailment and transmission congestion. This novel approach provides a model for integrating the transmission and renewable energy generation planning processes.
This webinar will provide an overview of the CREZ process, including the regulatory, procedural, and technical considerations that were critical to its successful implementation in Texas. The webinar will also introduce a Renewable Energy Zones "Toolkit" developed through a USAID and NREL partnership and intended to guide other power systems in adapting elements of the CREZ approach to their own power system planning processes.