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While at RMI, Nick contributed to the development of the Next Generation Utility model, a dynamic model for the electricity sector that forecasts generation load shapes for a number of different scenarios on both national and regional scales. Specifically, he focused on the electric end-use efficiency module for the model, working to develop estimates for the potential electricity savings that can be achieved through the implementation of end-use efficiency measures. At the same time, Nick was charged with ensuring the cost-effectiveness of all measures considered. His estimates for efficiency savings have been integrated into the NGU model, where they are used to help predict electricity consumption and load shapes in the future in the case where efficiency targets are met. The NGU model will likely be a useful tool not only for research, but also for those RMI consulting projects in which utility planning is a necessary part. "... at RMI, I was given a large responsibility and trusted to come up with results that other people at the institute would depend upon. This was a very rewarding feeling-knowing that instead of working on my own project, I was an important part of a team working towards a common, larger goal that would be impossible to achieve individually." Nick Schlag
"MAP Fellows are highly self-motivated and self starting, impressive ability to work independently while contributing tangible products towards RMI's research and consulting work." Kitty Wang, Principal
Rocky Mountain Institute
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