92nd American Meteorological Society Annual Meeting (January 22-26, 2012)

Wednesday, 25 January 2012
Maximizing and Optimizing the Large Scale Deployment of Renewable Energy in the New Energy Economy
Hall E (New Orleans Convention Center )
Randall Alliss, Northrop Grumann Corporation, Chantilly, VA; and D. Apling, H. Kiley, and M. Mason

The United States Government has an ambitious goal of growing renewable energy from 1% to 20% by 2030. Two key challenges exist in order to realize this target: Creating system-level approaches to overall generation capacity expansion and integration, including difficult policy changes, and addressing the variability issues of wind and solar generation. These challenges are addressed using MORE Power (Maximizing and Optimizing Renewable Energy), a system level planning tool designed to optimize the placement of wind and solar sites to maximize high quality, useable power. This planning tool uses historical, high resolution, measurements of wind and solar parameters along with a unique, non-linear, optimization algorithm to optimize the placement of sites given a set of user specified input parameters. MORE Power is quantifying the real value of transmission as an enabler to aggregate diverse variable resources which in turn is incentivizing transmission developers to expand the grid. In addition, the issue of grid stability becomes even more critical as larger deployment of renewable resources come online. MORE Power is identifying the benefits of larger balancing areas as an enabler for greater stability and therefore a reduced need to keep transmission capacity in reserve. In the end, by addressing and minimizing the impacts of the natural variability of wind and solar, a reduction in price volatility results which favorably impacts the consumer. This presentation will show quantifiable examples of how MORE Power is being used to address the variability issue of renewables throughout the United States in order to achieve the 20% deployment target by 2030.

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