TY - GEN
T1 - Distributed Wind Diffusion Model Overview (Presentation)
T2 - NREL (National Renewable Energy Laboratory)
AU - Preus, Robert
AU - Sigrin, Benjamin
AU - Gleason, Michael
PY - 2014
Y1 - 2014
N2 - Distributed wind market demand is driven by current and future wind price and performance, along with several non-price market factors like financing terms, retail electricity rates and rate structures, future wind incentives, and others. We developed a new distributed wind technology diffusion model for the contiguous United States that combines hourly wind speed data at 200m resolution withhigh resolution electricity load data for various consumer segments (e.g., residential, commercial, industrial), electricity rates and rate structures for utility service territories, incentive data, and high resolution tree cover. The model first calculates the economics of distributed wind at high spatial resolution for each market segment, and then uses a Bass diffusion framework to estimatethe evolution of market demand over time. The model provides a fundamental new tool for characterizing how distributed wind market potential could be impacted by a range of future conditions, such as electricity price escalations, improvements in wind generator performance and installed cost, and new financing structures. This paper describes model methodology and presents sample results fordistributed wind market potential in the contiguous U.S. through 2050.
AB - Distributed wind market demand is driven by current and future wind price and performance, along with several non-price market factors like financing terms, retail electricity rates and rate structures, future wind incentives, and others. We developed a new distributed wind technology diffusion model for the contiguous United States that combines hourly wind speed data at 200m resolution withhigh resolution electricity load data for various consumer segments (e.g., residential, commercial, industrial), electricity rates and rate structures for utility service territories, incentive data, and high resolution tree cover. The model first calculates the economics of distributed wind at high spatial resolution for each market segment, and then uses a Bass diffusion framework to estimatethe evolution of market demand over time. The model provides a fundamental new tool for characterizing how distributed wind market potential could be impacted by a range of future conditions, such as electricity price escalations, improvements in wind generator performance and installed cost, and new financing structures. This paper describes model methodology and presents sample results fordistributed wind market potential in the contiguous U.S. through 2050.
KW - distributed wind
KW - market diffusion
KW - NREL
KW - wind diffusion model
KW - wind performance
M3 - Presentation
T3 - Presented at SOLAR 2014, 6-10 July 2014, San Francisco, California
ER -