Balancing Europe’s wind power output through spatial deployment informed by weather regimes
نویسندگان
چکیده
As wind and solar power provide a growing share of Europe's electricity1, understanding and accommodating their variability on multiple timescales remains a critical problem. On weekly timescales, variability is related to long-lasting weather conditions, called weather regimes2-5, which can cause lulls with a loss of wind power across neighbouring countries6. Here we show that weather regimes provide a meteorological explanation for multi-day fluctuations in Europe's wind power and can help guide new deployment pathways which minimise this variability. Mean generation during different regimes currently ranges from 22 GW to 44 GW and is expected to triple by 2030 with current planning strategies. However, balancing future wind capacity across regions with contrasting inter-regime behaviour - specifically deploying in the Balkans instead of the North Sea - would almost eliminate these output variations, maintain mean generation, and increase fleet-wide minimum output. Solar photovoltaics could balance low-wind regimes locally, but only by expanding current capacity tenfold. New deployment strategies based on an understanding of continent-scale wind patterns and pan-European collaboration could enable a high share of wind energy whilst minimising the negative impacts of output variability.
منابع مشابه
A new approach to wind turbine power generation forecasting, using weather radar data based on Hidden Markov Model
The wind is one of the most important and affecting phenomena and is known as one of the significant clean resources of energy. Apart from other atmospheric parameters, the wind has complex behavior and intermittent characteristics. Local phenomena can be accompanied by the wind, which is strong, non-predicted, and damaging. Weather radars are capable of detecting and displaying storm-related ...
متن کاملA Cost Benefit Analysis of Wind Power
Concern over global warming has led policy makers worldwide to accept the importance of reducing greenhouse gas emissions. As wind generation does not itself create any harmful emissions, policy makers often promote it as a means of reducing national emission levels while also meeting renewable obligations. In fact, wind generation has been the fastest growing form of renewable energy in Europe...
متن کاملThe effect of long-distance interconnection on wind power variability
We use timeand frequency-domain techniques to quantify the extent to which long-distance interconnection of wind plants in the United States would reduce the variability of wind power output. Previous work has shown that interconnection of just a few wind plants across moderate distances could greatly reduce the ratio of fastto slow-ramping generators in the balancing portfolio. We find that in...
متن کاملA statistical analysis of the reduction of the wind power prediction error by spatial smoothing effects
We discuss the accuracy of the prediction of the aggregated power output of wind farms distributed over given regions. Our forecasting procedure provides the expected power output for a time horizon up to 48 hours ahead. It is based on the large scale wind field prediction which is generated operationally by the German weather service. Our investigation focuses on the statistical analysis of th...
متن کاملReduction of Wind Power Prediction Error by Spatial Smoothing Effects
We discuss the statistical effects of predicting the power output of spatially distributed wind farms. Our forecasting procedure provides the expected power output for a time horizon up to 48 hours. It is based on the large scale wind field prediction which is generated operationally by the German weather service. In this paper we focus on the reduction of the forecast error for the aggregated ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 7 شماره
صفحات -
تاریخ انتشار 2017