Wind Power Potential in the Pacific Northwest

Baker, Robert W.; Hewson, E. Wendell; Butler, N. G.; Warchol, E. J.

doi:10.1175/1520-0450(1978)017<1814:wppitp>2.0.co;2

Cited by 19 publications

(11 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The study of wind field over a specific region can be undertaken from a purely observational standpoint (e.g., Baker et al 1978;Martner and Marwitz 1982;Wendland 1982;Klink 2002;Jiménez et al 2009). Alternatively, this can be taken on through model-based approaches that allow for a more complete understanding of the physical processes and mechanisms involved (e.g., Mahrer and Pielke 1977;Mahrer et al 1985;Rife et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Surface Wind Regionalization over Complex Terrain: Evaluation and Analysis of a High-Resolution WRF Simulation

Jiménez

González-Rouco²,

García‐Bustamante

et al. 2010

Journal of Applied Meteorology and Climatology

109

View full text Add to dashboard Cite

This study analyzes the daily-mean surface wind variability over an area characterized by complex topography through comparing observations and a 2-km-spatial-resolution simulation performed with the Weather Research and Forecasting (WRF) model for the period 1992-2005. The evaluation focuses on the performance of the simulation to reproduce the wind variability within subregions identified from observations over the 1999-2002 period in a previous study. By comparing with wind observations, the model results show the ability of the WRF dynamical downscaling over a region of complex terrain. The higher spatiotemporal resolution of the WRF simulation is used to evaluate the extent to which the length of the observational period and the limited spatial coverage of observations condition one's understanding of the wind variability over the area. The subregions identified with the simulation during the 1992-2005 period are similar to those identified with observations (1999)(2000)(2001)(2002). In addition, the reduced number of stations reasonably represents the spatial wind variability over the area. However, the analysis of the full spatial dimension simulated by the model suggests that observational coverage could be improved in some subregions. The approach adopted here can have a direct application to the design of observational networks.

show abstract

Section: Introductionmentioning

confidence: 99%

Surface Wind Regionalization over Complex Terrain: Evaluation and Analysis of a High-Resolution WRF Simulation

Jiménez

González-Rouco²,

García‐Bustamante

et al. 2010

Journal of Applied Meteorology and Climatology

109

View full text Add to dashboard Cite

show abstract

“…1a). During the cold season, the horizontal pressure gradient in the CRG evolves largely in response to mobile synoptic-scale features, and both westerly and easterly gap flows through the CRG can develop (Baker et al 1978;Sharp and Mass 2004). Moreover, in the winter, cold pools can deepen within the CB, shielding the wind farms within the basin from overlying winds.…”

mentioning

confidence: 99%

Improving Wind Energy Forecasting through Numerical Weather Prediction Model Development

Olson

Kenyon

Djalalova

et al. 2019

Bulletin of the American Meteorological Society

100

117

View full text Add to dashboard Cite

The primary goal of the Second Wind Forecast Improvement Project (WFIP2) is to advance the state-of-the-art of wind energy forecasting in complex terrain. To achieve this goal, a comprehensive 18-month field measurement campaign was conducted in the region of the Columbia River basin. The observations were used to diagnose and quantify systematic forecast errors in the operational High-Resolution Rapid Refresh (HRRR) model during weather events of particular concern to wind energy forecasting. Examples of such events are cold pools, gap flows, thermal troughs/marine pushes, mountain waves, and topographic wakes. WFIP2 model development has focused on the boundary layer and surface-layer schemes, cloud–radiation interaction, the representation of drag associated with subgrid-scale topography, and the representation of wind farms in the HRRR. Additionally, refinements to numerical methods have helped to improve some of the common forecast error modes, especially the high wind speed biases associated with early erosion of mountain–valley cold pools. This study describes the model development and testing undertaken during WFIP2 and demonstrates forecast improvements. Specifically, WFIP2 found that mean absolute errors in rotor-layer wind speed forecasts could be reduced by 5%–20% in winter by improving the turbulent mixing lengths, horizontal diffusion, and gravity wave drag. The model improvements made in WFIP2 are also shown to be applicable to regions outside of complex terrain. Ongoing and future challenges in model development will also be discussed.

show abstract

“…It is common practice in detailed seasonal or annual WP evaluations to restrict wind speeds to the range resulting in effective WP, e.g., Justus et al (1976), Hennessey (1977), Baker et al (1978. In the present study, we have not considered the economical and engineering aspects of WP.…”

Section: Resultsmentioning

confidence: 99%

“…The daily averaged pattern indicates highest WP availability along the eastern slopes (the section 50 to 70 km inland), mostly at ridge top. Baker et al (1978) suggested a cut-in wind speed of 4.5 m s ' and cut-out wind speed of 27 m so ' for effective WP. Additionally, they have classified the highest seasonally averaged effective WP when the effective WP exceeds 400 W mm2 and power-producing winds occur for more than 50% of the season.…”

Section: Resultsmentioning

confidence: 99%

Numerical study of wind energy characteristics over heterogeneous terrain ? Central Israel case study

Segal

Mahrer

Pielke

1982

Boundary-Layer Meteorol

View full text Add to dashboard Cite

A numerical mesoscale meteorological model has been applied over the heterogeneous terrain of central Israel in order to study wind energy characteristics ofthree typical synoptic situations. The supportive nature of this method for observationally oriented wind energy studies has been emphasized. Mesoscale forcing effects on the availability of wind energy and on the exponent,p, in the vertical wind power law are evaIuated.

show abstract

Wind Power Potential in the Pacific Northwest

Cited by 19 publications

References 0 publications

Surface Wind Regionalization over Complex Terrain: Evaluation and Analysis of a High-Resolution WRF Simulation

Surface Wind Regionalization over Complex Terrain: Evaluation and Analysis of a High-Resolution WRF Simulation

Improving Wind Energy Forecasting through Numerical Weather Prediction Model Development

Numerical study of wind energy characteristics over heterogeneous terrain ? Central Israel case study

Contact Info

Product

Resources

About