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    Creating Synthetic Wind Speed Time Series for 15 New Zealand Wind Farms

    Source: Journal of Applied Meteorology and Climatology:;2011:;volume( 050 ):;issue: 012::page 2394
    Author:
    Turner, Richard
    ,
    Zheng, Xiaogu
    ,
    Gordon, Neil
    ,
    Uddstrom, Michael
    ,
    Pearson, Greg
    ,
    de Vos, Rilke
    ,
    Moore, Stuart
    DOI: 10.1175/2011JAMC2668.1
    Publisher: American Meteorological Society
    Abstract: ind data at time scales from 10 min to 1 h are an important input for modeling the performance of wind farms and their impact on many countries? national electricity systems. Planners need long-term realistic (i.e., meteorologically spatially and temporally consistent) wind-farm data for projects studying how best to integrate wind power into the national electricity grid. In New Zealand, wind data recorded at wind farms are confidential for commercial reasons, however, and publicly available wind data records are for sites that are often not representative of or are distant from wind farms. In general, too, the public sites are at much lower terrain elevations than hilltop wind farms and have anemometers located at 10 m above the ground, which is much lower than turbine hub height. In addition, when available, the mast records from wind-farm sites are only for a short period. In this paper, the authors describe a novel and practical method to create a multiyear 10-min synthetic wind speed time series for 15 wind-farm sites throughout the country for the New Zealand Electricity Commission. The Electricity Commission (known as the Electricity Authority since 1 October 2010) is the agency that has regulatory oversight of the electricity industry and that provides advice to central government. The dataset was constructed in such a way as to preserve meteorological realism both spatially and temporally and also to respect the commercial secrecy of the wind data provided by power-generation companies.
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      Creating Synthetic Wind Speed Time Series for 15 New Zealand Wind Farms

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4213580
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    • Journal of Applied Meteorology and Climatology

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    contributor authorTurner, Richard
    contributor authorZheng, Xiaogu
    contributor authorGordon, Neil
    contributor authorUddstrom, Michael
    contributor authorPearson, Greg
    contributor authorde Vos, Rilke
    contributor authorMoore, Stuart
    date accessioned2017-06-09T16:39:21Z
    date available2017-06-09T16:39:21Z
    date copyright2011/12/01
    date issued2011
    identifier issn1558-8424
    identifier otherams-71663.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4213580
    description abstractind data at time scales from 10 min to 1 h are an important input for modeling the performance of wind farms and their impact on many countries? national electricity systems. Planners need long-term realistic (i.e., meteorologically spatially and temporally consistent) wind-farm data for projects studying how best to integrate wind power into the national electricity grid. In New Zealand, wind data recorded at wind farms are confidential for commercial reasons, however, and publicly available wind data records are for sites that are often not representative of or are distant from wind farms. In general, too, the public sites are at much lower terrain elevations than hilltop wind farms and have anemometers located at 10 m above the ground, which is much lower than turbine hub height. In addition, when available, the mast records from wind-farm sites are only for a short period. In this paper, the authors describe a novel and practical method to create a multiyear 10-min synthetic wind speed time series for 15 wind-farm sites throughout the country for the New Zealand Electricity Commission. The Electricity Commission (known as the Electricity Authority since 1 October 2010) is the agency that has regulatory oversight of the electricity industry and that provides advice to central government. The dataset was constructed in such a way as to preserve meteorological realism both spatially and temporally and also to respect the commercial secrecy of the wind data provided by power-generation companies.
    publisherAmerican Meteorological Society
    titleCreating Synthetic Wind Speed Time Series for 15 New Zealand Wind Farms
    typeJournal Paper
    journal volume50
    journal issue12
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2011JAMC2668.1
    journal fristpage2394
    journal lastpage2409
    treeJournal of Applied Meteorology and Climatology:;2011:;volume( 050 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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