Imperial College London
Portrait Picture

Dr Francesco Restuccia

Faculty of Engineering, Department of Mechanical Engineering

Honorary Lecturer
 
 
 
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Contact

 

f.restuccia Website

 
 
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Location

 

609City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Cradden:2014:10.3390/resources3010215,
author = {Cradden, LC and Restuccia, F and Hawkins, SL and Harrison, GP},
doi = {10.3390/resources3010215},
journal = {Resources},
pages = {215--234},
title = {Consideration of wind speed variability in creating a regional aggregate wind power time series},
url = {http://dx.doi.org/10.3390/resources3010215},
volume = {3},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - For the purposes of understanding the impacts on the electricity network, estimates of hourly aggregate wind power generation for a region are required. However, the availability of wind production data for the UK is limited, and studies often rely on measured wind speeds from a network of meteorological (met) stations. Another option is to use historical wind speeds from a reanalysis dataset, with a resolution of around 40-50 km. Mesoscale models offer a potentially more desirable solution, with a homogeneous set of wind speeds covering a wide area at resolutions of 1-50 km, but they are computationally expensive to run at high resolution. An understanding of the most appropriate choice of data requires knowledge of the variability in time and space and how well that is represented by the choice of model. Here it is demonstrated that in regions offshore, or in relatively smooth terrain where variability in wind speeds is smaller, lower resolution models or single point records may suffice to represent aggregate power generation in a sub-region. The need for high resolution modelling in areas of complex terrain where spatial and temporal variability is higher is emphasised, particularly when the distribution of wind generation capacity is uneven over the region.
AU  - Cradden,LC
AU  - Restuccia,F
AU  - Hawkins,SL
AU  - Harrison,GP
DO  - 10.3390/resources3010215
EP  - 234
PY  - 2014///
SP  - 215
TI  - Consideration of wind speed variability in creating a regional aggregate wind power time series
T2  - Resources
UR  - http://dx.doi.org/10.3390/resources3010215
VL  - 3
ER  -
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