The future of wind energy in California: Future projections with the Variable-Resolution CESM

Wang, Meina; Ullrich, P. A.; Millstein, Dev

doi:10.1016/j.renene.2018.04.031

Cited by 26 publications

(33 citation statements)

References 35 publications

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“…The VR model grid used for this study, depicted in Fig. 2 from the reference article [1] , was generated for use in CAM and CLM with the open-source software package SQuadGen [4] , [5] . On this grid the finest horizontal resolution is 0.125° (~14 km), with a quasi-uniform 1° mesh over the remainder of the globe.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“… This article includes the description of data information related to the research article entitled “The future of wind energy in California: Future projections with the Variable-Resolution CESM” [1] , with reference number RENE_RENE-D-17–03392. Datasets from the Variable-Resolution CESM, Det Norske Veritas Germanischer Lloyd Virtual Met, MERRA-2, CFSR, NARR, ISD surface observations, and upper air sounding observations were used for calculating and comparing hub-height wind speed at multiple major wind farms across California.…”

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confidence: 99%

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Datasets on hub-height wind speed comparisons for wind farms in California

2018

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This article includes the description of data information related to the research article entitled “The future of wind energy in California: Future projections with the Variable-Resolution CESM”[1], with reference number RENE_RENE-D-17–03392. Datasets from the Variable-Resolution CESM, Det Norske Veritas Germanischer Lloyd Virtual Met, MERRA-2, CFSR, NARR, ISD surface observations, and upper air sounding observations were used for calculating and comparing hub-height wind speed at multiple major wind farms across California. Information on hub-height wind speed interpolation and power curves at each wind farm sites are also presented. All datasets, except Det Norske Veritas Germanischer Lloyd Virtual Met, are publicly available for future analysis.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Datasets on hub-height wind speed comparisons for wind farms in California

2018

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“…These data are available from MERRA-2 for a location less than 100km away from the facility both at 10m and 50m height. MERRA-2, Modern-Era Retrospective Analysis for Research and Applications version 2 , is a system of atmospheric data provided by NASA (Gelaro et al, 2017;Wang et al, 2018). It uses a systematic approach (reanalysis) to produce datasets used in meteorological monitoring.…”

Section: Methodsmentioning

confidence: 99%

On-site renewable electricity production and self consumption for manufacturing industry in Ireland: Sensitivity to techno-economic conditions

Sgobba

Meskell

2019

Journal of Cleaner Production

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“…It was determined that composite analyses of the cases of strong and weak vertical wind shear confirm that the increase of rainfall area is related to the asymmetric convection (rising/sinking motion in the downshear-left/upshear-right side) induced by the vertical wind shear [23]. An investigation on prediction of wind power because of climate change was made using MERRA-2 among other re-analysis data [24]. As can be seen, MERRA-2 data have been used with excellent results on wind assessment.…”

Section: Datamentioning

confidence: 99%

Wind Power Cogeneration to Reduce Peak Electricity Demand in Mexican States Along the Gulf of Mexico

et al. 2019

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The Energetic Transition Law in Mexico has established that in the next years, the country has to produce at least 35% of its energy from clean sources in 2024. Based on this, a proposal in this study is the cogeneration between the principal thermal power plants along the Mexican states of the Gulf of Mexico with modeled wind farms near to these thermal plants with the objective to reduce peak electricity demand. These microscale models were done with hourly MERRA-2 data that included wind speed, wind direction, temperature, and atmospheric pressure with records from 1980–2018 and taking into account roughness, orography, and climatology of the site. Wind speed daily profile for each model was compared to electricity demand trajectory, and it was seen that wind speed has a peak at the same time. The amount of power delivered to the electric grid with this cogeneration in Rio Bravo and Altamira (Northeast region) is 2657.02 MW and for Tuxpan and Dos Bocas from the Eastern region is 3196.18 MW. This implies a reduction at the peak demand. In the Northeast region, the power demand at the peak is 8000 MW, and for Eastern region 7200 MW. If wind farms and thermal power plants work at the same time in Northeast and Eastern regions, the amount of power delivered by other sources of energy at this moment will be 5342.98 MW and 4003.82 MW, respectively.

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The future of wind energy in California: Future projections with the Variable-Resolution CESM

Cited by 26 publications

References 35 publications

Datasets on hub-height wind speed comparisons for wind farms in California

Datasets on hub-height wind speed comparisons for wind farms in California

On-site renewable electricity production and self consumption for manufacturing industry in Ireland: Sensitivity to techno-economic conditions

Wind Power Cogeneration to Reduce Peak Electricity Demand in Mexican States Along the Gulf of Mexico

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