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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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