Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy

Parks, Keith; Wan, Yih-huei; Wiener, Gerry; Liu, Y.

doi:10.2172/1027161

Cited by 22 publications

(31 citation statements)

References 5 publications

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“…Constraints for conventional generators include minimum and maximum generation and on and off times for each unit, and spinning and nonspinning reserves for the system. Detailed constraints and efficiencies were provided for each unit by Xcel Energy (14). Xcel also provided historical information on electricity demand for 2006.…”

Section: Methodsmentioning

confidence: 99%

Effects of Plug-In Hybrid Electric Vehicles on Ozone Concentrations in Colorado

Brinkman

Denholm

Hannigan

et al. 2010

Environ. Sci. Technol.

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This study explores how ozone concentrations in the Denver, CO area might have been different if plug-in hybrid electric vehicles (PHEVs) had replaced light duty gasoline vehicles in summer 2006. A unit commitment and dispatch model was used to estimate the charging patterns of PHEVs and dispatch power plants to meet electricity demand. Emission changes were estimated based on gasoline displacement and the emission characteristics of the power plants providing additional electricity. The Comprehensive Air Quality Model with extensions (CAMx) was used to simulate the effects of these emissions changes on ozone concentrations. Natural gas units provided most of the electricity used for charging PHEVs in the scenarios considered. With 100% PHEV penetration, nitrogen oxide (NO(x)) emissions were reduced by 27 tons per day (tpd) from a fleet of 1.7 million vehicles and were increased by 3 tpd from power plants; VOC emissions were reduced by 57 tpd. These emission changes reduced modeled peak 8-h average ozone concentrations by approximately 2-3 ppb on most days. Ozone concentration increases were modeled for small areas near central Denver. Future research is needed to forecast when significant PHEV penetration may occur and to anticipate characteristics of the corresponding power plant and vehicle fleets.

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Section: Methodsmentioning

confidence: 99%

Effects of Plug-In Hybrid Electric Vehicles on Ozone Concentrations in Colorado

Brinkman

Denholm

Hannigan

et al. 2010

Environ. Sci. Technol.

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“…Data assimilation takes many different forms and uses many different data sources—e.g., observations from national weather station networks, radio soundings, and some satellite observations. Data assimilation usually has a local impact, but it can have an effect beyond the area where the measurements are available if the measurements are of good quality and include surface observations and upper air observations . Adjoint sensitivity studies can help effectively determine where to site instruments that will be used in data assimilation …”

Section: Methodsmentioning

confidence: 99%

Wind and solar resource data sets

Clifton

Draxl

Badger

et al. 2017

WIREs Energy & Environment

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The range of resource data sets spans from static cartography showing the mean annual wind speed or solar irradiance across a region to high temporal and high spatial resolution products that provide detailed information at a potential wind or solar energy facility. These data sets are used to support continental‐scale, national, or regional renewable energy development; facilitate prospecting by developers; and enable grid integration studies. This review first provides an introduction to the wind and solar resource data sets, then provides an overview of the common methods used for their creation and validation. A brief history of wind and solar resource data sets is then presented, followed by areas for future research. WIREs Energy Environ 2018, 7:e276. doi: 10.1002/wene.276 This article is categorized under: Wind Power > Climate and Environment Solar Heating and Cooling > Climate and Environment Energy Infrastructure > Climate and Environment

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“…Xcel Energy contracted with NCAR to develop a wind power forecasting system that has been licensed to Global Weather Corporation, and incorporated into Xcel Energy's operations [52], [53]. Xcel is also collaborating on solar power forecasts, both for their commercial sites and distributed solar systems.…”

Section: B Forecast Adoptionmentioning

confidence: 99%

Recent Trends in Variable Generation Forecasting and Its Value to the Power System

Orwig

Ahlstrom²,

Banunarayanan

et al. 2015

IEEE Trans. Sustain. Energy

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The rapid deployment of wind and solar energy generation systems has resulted in a need to better understand, predict, and manage variable generation. The uncertainty around wind and solar power forecasts is still viewed by the power industry as being quite high, and many barriers to forecast adoption by power system operators still remain. In response, the U.S. Department of Energy has sponsored, in partnership with the National Oceanic and Atmospheric Administration, public, private, and academic organizations, two projects to advance wind and solar power forecasts. Additionally, several utilities and grid operators have recognized the value of adopting variable generation forecasting and have taken great strides to enhance their usage of forecasting. In parallel, power system markets and operations are evolving to integrate greater amounts of variable generation. This paper will discuss the recent trends in wind and solar power forecasting technologies in the U.S., the role of forecasting in an evolving power system framework, and the benefits to intended forecast users.

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Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy

Cited by 22 publications

References 5 publications

Effects of Plug-In Hybrid Electric Vehicles on Ozone Concentrations in Colorado

Effects of Plug-In Hybrid Electric Vehicles on Ozone Concentrations in Colorado

Wind and solar resource data sets

Recent Trends in Variable Generation Forecasting and Its Value to the Power System

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