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ID: 124179

Determining the impact of wind on system costs via the temporal patterns of load and wind generation / Davis, Clay D; Gotham, Douglas J; Preckel, Paul V; Liu, Andrew L

Preckel, Paul V	Journal Article
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Publication

2013.

Summary/Abstract

Ambitious targets have been set for expanding electricity generation from renewable sources, including wind. Expanding wind power impacts needs for other electricity generating resources. As states plan for increasing levels of wind generation in their portfolio of generation resources it is important to consider how this intermittent resource impacts the need for other generation resources. A case study for Indiana estimates the value of wind capacity and demonstrates how to optimize its level and the levels of other generation resources. Changes are driven by temporal patterns of wind power output and load. System wide impacts are calculated for energy, capacity, and costs under multiple wind expansion scenarios which highlight the geographic characteristics of a systems portfolio of wind generation. The impacts of carbon prices, as proposed in the Bingaman Bill, are considered. Finally, calculations showing the effect increasing levels of wind generation will have on end use Indiana retail rates are included.

Key Words

Energy ; Wind Power ; Intermittent Generation ; Capacity value ; Wind Capacity

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ID: 124328

Statistical analysis of installed wind capacity in the United S / Staid, Andrea; Guikema, Seth D

Staid, Andrea	Journal Article
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Publication

2013.

Summary/Abstract

There is a large disparity in the amount of wind power capacity installed in each of the states in the U.S. It is often thought that the different policies of individual state governments are the main reason for these differences, but this may not necessarily be the case. The aim of this paper is to use statistical methods to study the factors that have the most influence on the amount of installed wind capacity in each state. From this analysis, we were able to use these variables to accurately predict the installed wind capacity and to gain insight into the driving factors for wind power development and the reasons behind the differences among states. Using our best model, we find that the most important variables for explaining the amount of wind capacity have to do with the physical and geographic characteristics of the state as opposed to policies in place that favor renewable energy.

Key Words

United States ; Statistical Analysis ; Wind Power ; Renewable Energy ; Wind Capacity ; Policy Impacts

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