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      Going with the wind: temporal characteristics of potential wind curtailment in Ireland in 2020 and opportunities for demand response

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          Abstract

          The Republic of Ireland and Northern Ireland have ambitious targets for 40% of electricity to be supplied by renewables by 2020, with the majority expected to be supplied by wind power. There is, however, already a significant amount of wind power being turned down, or ‘curtailed’, and this is expected to grow as wind penetrations increase. A model-based approach is taken to estimate curtailment using high-resolution wind speed and demand data covering four years, with a particular focus on the temporal characteristics of curtailment and factors that affect it. The model is validated using actual wind output and curtailment data from 2011. The results for 2020 are consistent with previously published estimates, and indicate curtailment levels ranging from 5.6 to 8.5% depending on assumptions examined in this study. Curtailment is found to occur predominantly at night, and to exhibit stochastic variability related to wind output. To accommodate high penetrations of wind power, the findings highlight the value of flexible demand over relatively long time-periods. The model's output data have been made publicly available for free for further investigation.

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          Energy Storage and Its Use With Intermittent Renewable Energy

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            Cost-minimized combinations of wind power, solar power and electrochemical storage, powering the grid up to 99.9% of the time

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              POWER SPECTRUM OF HORIZONTAL WIND SPEED IN THE FREQUENCY RANGE FROM 0.0007 TO 900 CYCLES PER HOUR

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                Author and article information

                Contributors
                Journal
                IET-RPG
                IET Renewable Power Generation
                IET Renew. Power Gener.
                The Institution of Engineering and Technology
                1752-1416
                1752-1424
                January 2015
                : 9
                : 1
                : 66-77
                Affiliations
                [1 ] Centre for Renewable Energy Systems Technology (CREST), School of Electronic, Electrical and Systems Engineering, Loughborough University , LE11 3TU, UK
                [2 ] Environmental Change Institute, Oxford University , Oxford, OX1 3QY, UK
                Article
                IET-RPG.2013.0320 RPG.2013.0320.R1
                10.1049/iet-rpg.2013.0320
                ccbfd7bb-0eb3-49bb-951b-134d4ea4b12f

                This is an open access article published by the IET under the Creative Commons Attribution License <br/>(<a href="http://creativecommons.org/licenses/by/3.0/" target="_blank">http://creativecommons.org/licenses/by/3.0/</a>)

                History
                : 7 October 2013
                : 3 February 2014
                : 28 April 2014
                Funding
                Funded by: Engineering and Physical Sciences Research Council
                Award ID: EP/G031681/1
                Award ID: EP/K005316/1
                Award ID: EP/I031707/1
                Categories
                Regular Papers

                Computer science,Engineering,Artificial intelligence,Electrical engineering,Mechanical engineering,Renewable energy
                high-resolution wind speed,wind power curtailment,demand side management,wind power,wind penetrations,Ireland,AD 2020,demand response,curtailment levels,stochastic variability

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