scholarly journals From wind ensembles to probabilistic information about future wind power production ¿ results from an actual application

2006 ◽  
Author(s):  
Henrik Aalborg Nielsen ◽  
Torben Skov Nielsen ◽  
Henrik Madsen ◽  
Gregor Giebel ◽  
Jake Badger ◽  
...  
Keyword(s):  
Wind Power ◽  
Power Production ◽  
Wind Ensembles ◽  
Probabilistic Information ◽  
Actual Application

scholarly journals Scenarios for offshore wind power production for Central California Call Areas

Wind Energy ◽  
2021 ◽  
Author(s):  
Yi‐Hui Wang ◽  
Ryan K. Walter ◽  
Crow White ◽  
Matthew D. Kehrli ◽  
Benjamin Ruttenberg
Keyword(s):  
Wind Power ◽  
Power Production ◽  
Offshore Wind ◽  
Central California ◽  
Offshore Wind Power

Realistic Solutions for Wind Power Production with Climate Change

2012 ◽  
Vol 34 (10) ◽  
pp. 912-918 ◽  
Author(s):  
J. A. Orosa ◽  
E. J. García-Bustelo ◽  
A. C. Oliveira
Keyword(s):  
Climate Change ◽  
Wind Power ◽  
Power Production

scholarly journals Norwegian hindcast archive (NORA3) – A validation of offshore wind resources in the North Sea and Norwegian Sea

2021 ◽  
Author(s):  
Ida Marie Solbrekke ◽  
Asgeir Sorteberg ◽  
Hilde Haakenstad
Keyword(s):  
Wind Power ◽  
Power Production ◽  
Offshore Wind ◽  
Norwegian Sea ◽  
Offshore Wind Power ◽  
Wind Speeds ◽  
The North ◽  
The North Sea ◽  
Wind Events ◽  
Simulated Wind

Abstract. A new high-resolution (3 km) numerical mesoscale weather simulation spanning the period 2004–2018 is validated for offshore wind power purposes for the North Sea and Norwegian Sea. The NORwegian hindcast Archive (NORA3) was created by dynamical downscaling, forced with state-of-the-art hourly atmospheric reanalysis as boundary conditions. A validation of the simulated wind climatology has been carried out to determine the ability of NORA3 to act as a tool for planning future offshore wind power installations. Special emphasis is placed on evaluating offshore wind power-related metrics and the impact of simulated wind speed deviations on the estimated wind power and the related variability. The general conclusion of the validation is that the NORA3 data is rather well suited for wind power estimates, but gives slightly conservative estimates on the offshore wind metrics. Wind speeds are typically 5 % (0.5 ms−1) lower than observed wind speeds, giving an underestimation of offshore wind power of 10 %–20 % (equivalent to an underestimation of 3 percentage point in the capacity factor), for a selected turbine type and hub height. The model is biased towards lower wind power estimates because of overestimation of the frequency of low-speed wind events (< 10 ms−1) and underestimation of high-speed wind events (> 10 ms−1). The hourly wind speed and wind power variability are slightly underestimated in NORA3. However, the number of hours with zero power production (around 12 % of the time) is fairly well captured, while the duration of each of these events is slightly overestimated, leading to 25-year return values for zero-power duration being too high for four of the six sites. The model is relatively good at capturing spatial co-variability in hourly wind power production among the sites. However, the observed decorrelation length was estimated to be 432 km, whereas the model-based length was 19 % longer.

The influence of the main large-scale circulation patterns on wind power production in Portugal

2017 ◽  
Vol 102 ◽  
pp. 214-223 ◽  
Author(s):  
J.M. Correia ◽  
A. Bastos ◽  
M.C. Brito ◽  
R.M. Trigo
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Power Production ◽  
Large Scale Circulation ◽  
Circulation Patterns

scholarly journals Extrapolation of wind data using generalized versus site-specific wind power law for wind power production prospective at Shahbandar- a coastal site in Pakistan

2020 ◽  
pp. 014459872095250
Author(s):  
Muhammad Sumair ◽  
Tauseef Aized ◽  
Syed Asad Raza Gardezi
Keyword(s):  
Wind Power ◽  
Power Law ◽  
Power Production ◽  
Wind Data ◽  
Coefficient Of Determination ◽  
Coastal Site ◽  
Site Specific ◽  
Air Density ◽  
Wind Potential ◽  
Density Values

The aim of this work is to compare the wind data extrapolated by 1/7th wind power law and site-specific wind power law for wind power potential estimation at Shahbandar. Both the Wind shear exponents (WSE) and local air density values were calculated using measured wind data at 10 and 30 m heights and they were found minimum in summer and maximum in winter. Weibull distribution was applied with a newly developed method to estimate the Weibull parameters whose accuracy was tested using coefficient of determination which was more than 95%. Technical analysis of energy generation was conducted which showed that GE1 and GE2 turbines have highest yield and capacity factors respectively while B3 and V5 has corresponding minimum values. Comparison showed that 1/7th wind power estimates lower values of wind potential than site-specific wind power law. Moreover, comparison of predicted data with measured data shows that site-specific wind power law estimates data more accurately.

Forecasting aggregated wind power production of multiple wind farms using hybrid wavelet-PSO-NNs

2014 ◽  
Vol 38 (13) ◽  
pp. 1654-1666 ◽  
Author(s):  
Paras Mandal ◽  
Hamidreza Zareipour ◽  
William D. Rosehart
Keyword(s):  
Wind Power ◽  
Wind Farms ◽  
Power Production
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