Learn how we are working to transform how we use and produce energy.
Spatial and Temporal Interactions of Wind and Solar in the Next Generation Utility: Expanded Analysis
Why we share this work for free
RMI is an independent nonprofit working to accelerate the clean energy transition. We publish research like this to inform decision-makers and drive real-world impact.
Our work is supported by philanthropy as well as partnerships, including fee-for-service engagements. This support makes it possible for us to share our independent insights for free.
If you find this work valuable, you can support it anytime.
Get more insights like this
Stay up to date with the latest research, analysis, and tools from RMI by opting in to receive occasional emails below. You’ll get new reports, event invitations, and practical insights to help us all accelerate the clean energy transition.
Loading form...
Your download should start automatically. If it doesn’t, click the download button below.
This work is made possible by philanthropy
RMI is a nonprofit supported by donors and partners. Philanthropy enables us to produce independent research and make resources like this freely available.
If you find this report valuable, please consider supporting our work. You can also explore how we partner with organizations to drive impact.
Jump to Section
The “next generation” electric utility must incorporate variable renewable resources, including wind and solar, in much larger quantities than conventionally thought possible. While resource variability presents a challenge, it should be possible to reduce and manage that variability by geographically distributing renewables, combining them with different renewables, and having more dynamic control of electric loads. This analysis expands previous studies on reducing the variability of renewable resources through optimized geographic distribution. In this study, the period of analysis was lengthened from one year to three years, and the study area was enlarged to include all states within the Great Plains “wind belt.” Lengthening the period of analysis produced no significant difference in either power output or variability. However, enlarging the geographic area to three reliability regions (MRO, SPP, ERCOT) reduced system variability by 28% relative to the average individual region.
About the Authors
Lena Hansen
Chief Program OfficerRelated Insights
Help build the clean energy future. Donate today.
Independent research. Real-world solutions. Supported by donors.
RMI can pursue the highest-impact climate and energy solutions because we’re supported by people who believe change is possible. Every gift helps advance the work needed to make clean energy the default choice worldwide.
For other ways to give to RMI, including checks or gifts of stock, please visit Other Ways to Give.
