Evaluating the impacts of climate change on diurnal wind power cycles using multiple regional climate models

Scott D. Goddard, Marc G. Genton, Amanda S. Hering, Stephan R. Sain

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Electrical utility system operators must plan resources so that electricity supply matches demand throughout the day. As the proportion of wind-generated electricity in the US grows, changes in daily wind patterns have the potential either to disrupt the utility or increase the value of wind to the system over time. Wind power projects are designed to last many years, so at this timescale, climate change may become an influential factor on wind patterns. We examine the potential effects of climate change on the average diurnal power production cycles at 12 locations in North America by analyzing averaged and individual output from nine high-resolution regional climate models comprising historical (1971–1999) and future (2041–2069) periods. A semi-parametric mixed model is fit using cubic B-splines, and model diagnostics are checked. Then, a likelihood ratio test is applied to test for differences between the time periods in the seasonal daily averaged cycles, and agreement among the individual regional climate models is assessed. We investigate the significant changes by combining boxplots with a differencing approach and identify broad categories of changes in the amplitude, shape, and position of the average daily cycles. We then discuss the potential impact of these changes on wind power production.
Original languageEnglish (US)
Pages (from-to)192-201
Number of pages10
JournalEnvironmetrics
Volume26
Issue number3
DOIs
StatePublished - Jan 26 2015

ASJC Scopus subject areas

  • Ecological Modeling
  • Statistics and Probability

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