Going with the wind: temporal characteristics of potential wind curtailment in Ireland in 2020 and opportunities for demand response
- Author(s): Eoghan McKenna 1 ; Philipp Grünewald 2 ; Murray Thomson 1
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View affiliations
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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
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Affiliations:
1:
Centre for Renewable Energy Systems Technology (CREST), School of Electronic, Electrical and Systems Engineering, Loughborough University, LE11 3TU, UK;
- Source:
Volume 9, Issue 1,
January 2015,
p.
66 – 77
DOI: 10.1049/iet-rpg.2013.0320 , Print ISSN 1752-1416, Online ISSN 1752-1424
(http://creativecommons.org/licenses/by/3.0/)
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.
Inspec keywords: demand side management; wind power
Other keywords: demand response; AD 2020; high-resolution wind speed; curtailment levels; stochastic variability; wind penetrations; wind power curtailment; Ireland
Subjects: Energy resources; Power system management, operation and economics
References
-
-
1)
-
35. Central Statistics Office: Statistics: Population, 2011. Accessed 29 September 2013. Available from: http://www.cso.ie/en/statistics/population/.
-
-
2)
-
18. Keane, A., Tuohy, A., Meibom, P., et al: ‘Demand side resource operation on the Irish power system with high wind power penetration’, Energy Policy, 2011, 39, pp. 2925–2934 (doi: 10.1016/j.enpol.2011.02.071).
-
-
3)
-
8. Department of Enterprise, Trade and Investment: ‘Energy: a strategic framework for Northern Ireland’, 2010. Accessed 11 September 2013. Available from: http://www.detini.gov.uk/strategic_energy_framework__sef_2010_-3.pdf.
-
-
4)
-
12. Doherty, R.: ‘All Island Grid Study. Workstream 2A: High level assessment of suitable generation portfolios for the All-island system in 2020’, 2008. Accessed 16 September 2013. Available from: http://www.eirgrid.com/media/Workstream%202A.pdf.
-
-
5)
- D.J. Burke , M.J. O'Malley . Factors influencing wind energy curtailment. IEEE Trans. Sust. Energy , 185 - 193
-
6)
-
32. McKenna, E., Grünewald, P., Thomson, M.: ‘Wind Curtailment Estimates for Irish Power System in 2020 (Dataset)’, 2014, Available from: https://www.dspace.lboro.ac.uk/2134/13302.
-
-
7)
-
29. Eirgrid, ‘System Performance Data: Wind Generation’, 2013. Accessed 18 September 2013. Available from: http://www.eirgrid.com/operations/systemperformancedata/windgeneration/.
-
-
8)
- J.P. Barton , D.G. Infield . Energy storage and its use with intermittent renewable energy. IEEE Trans. Energy Convers. , 2 , 441 - 448
-
9)
-
1. Delucchi, M.A., Jacobson, M.Z.: ‘Providing all global energy with wind, water, and solar power, Part II: Reliability, system and transmission costs, and policies’, Energy Policy, 2011, 39, pp. 1170–1190 (doi: 10.1016/j.enpol.2010.11.045).
-
-
10)
-
33. Hong, J., Kelly, N.J., Richardson, I., Thomson, M.: ‘Assessing heat pumps as flexible load’, Proc. Inst. Mechanical Eng. A, J. Power Energy, 2013, 227, pp. 30–42. http://www.pia.sagepub.com/content/227/1/30.abstract (doi: 10.1177/0957650912454830).
-
-
11)
-
23. Barton, J.: ‘A Probabilistic Method of Modelling Energy Storage in Electricity Systems with Intermittent Renewable Energy’. Accessed 18 September 2013, 2007.
-
-
12)
-
11. Mc Garrigle, E.V., Deane, J.P., Leahy, P.G.: ‘How much wind energy will be curtailed on the 2020 Irish power system?’, Renew. Energy, 2013, 55, pp. 544–553 (doi: 10.1016/j.renene.2013.01.013).
-
-
13)
-
19. Grünewald, P., Cockerill, T., Contestabile, M., Pearson, P.: ‘The role of large scale storage in a GB low carbon energy future: issues and policy challenges’, Energy Policy, 2011, 39, pp. 4807–4815 (doi: 10.1016/j.enpol.2011.06.040).
-
-
14)
-
25. Barton, J.P., Infield, D.G.: ‘Energy storage and its use with wind power’. Power Engineering Society General Meeting, 2005. IEEE, Anonymous, 2005, vol. 2, pp. 1934–1938.
-
-
15)
- J.P. Barton , D.G. Infield . A probabilistic method for calculating the usefulness of a store with finite energy capacity for smoothing electricity generation from wind and solar power. J. Power Sources , 943 - 948
-
16)
-
4. Rasmussen, M.G., Andresen, G.B., Greiner, M.: ‘Storage and balancing synergies in a fully or highly renewable pan-European power system’, Energy Policy, 2012, 51, pp. 642–651 (doi: 10.1016/j.enpol.2012.09.009).
-
-
17)
-
34. Commission for Energy Regulation: Electricity Smart Metering Customer Behaviour Trials (CBT) Findings Report. Accessed on 10 December 2012, 2011. Available from: http://www.cer.ie/en/information-centre-reports-and-publications.aspx?article=5dd4bce4-ebd8-475e-b78d-da24e4ff7339.
-
-
18)
-
14. Meibom, P.: ‘Final Report for All Island Grid Study’. Work-stream 2(b): Wind Variability Management Studies, 2007. Accessed 16 September 2013. Available from: http://www.eirgrid.com/media/Workstream%202B.pdf.
-
-
19)
-
28. Eirgrid, SONI: ‘Transmission Constraint Groups v1.2’, 2012. Accessed 16 September 2013. Available from: http://www.eirgrid.com/aboutus/publications/.
-
-
20)
-
13. Ecofys: ‘All island TSO facilitation of renewables studies’, 2010. Accessed 11 September 2013. Available from: http://www.ecofys.com/files/files/faciltiation_of_renwables_wp3_final_report.pdf.
-
-
21)
-
37. Higginson, S., Thomson, M., Bhamra, T.: ‘For the times they are a-changin’: the impact of shifting energy-use practices in time and space’. Local Environment, 2013, pp. 1–19.
-
-
22)
-
27. IWEA: ‘County Wind Map’, 2013. Accessed 18 September 2013. Available from: http://www.iwea.com/index.cfm/page/_windenergy_onshore.
-
-
23)
-
30. Eirgrid: ‘System Performance Data: All-Island Wind and Fuel Mix Report Summary 2011’, 2011. Available from: http://www.eirgrid.com/operations/systemperformancedata/all-islandwindandfuelmixreport/.
-
-
24)
-
15. Tuohy, A., O'Malley, M.: ‘Impact of pumped storage on power systems with increasing wind penetration’. Power & Energy Society General Meeting, PES '09. IEEE, Anonymous, 2009, pp. 1–8.
-
-
25)
-
3. Budischak, C., Sewell, D., Thomson, H., Mach, L., Veron, D.E., Kempton, W.: ‘Cost-minimized combinations of wind power, solar power and electrochemical storage, powering the grid up to 99.9% of the time’, J. Power Sources, 2013, 225, pp. 60–74 (doi: 10.1016/j.jpowsour.2012.09.054).
-
-
26)
-
17. Owen, G., Ward, J.: ‘Smart tariffs and household demand response for Great Britain’, 2010. Accessed on 10 December 2012. Available from: http://www.sedc-coalition.eu/wp-content/uploads/2011/05/Sustainability-First-Smart-Tariffs-and-Household-Demand-Response-for-Great-Britain-Final-March-20102.pdf.
-
-
27)
-
2. Elliston, B., Diesendorf, M., MacGill, I.: ‘Simulations of scenarios with 100% renewable electricity in the Australian National Electricity Market’, Energy Policy, 2012, 45, pp. 606–613 (doi: 10.1016/j.enpol.2012.03.011).
-
-
28)
-
16. Denny, E., Tuohy, A., Meibom, P., et al: ‘The impact of increased interconnection on electricity systems with large penetrations of wind generation: a case study of Ireland and Great Britain’, Energy Policy, 2010, 38, pp. 6946–6954 (doi: 10.1016/j.enpol.2010.07.011).
-
-
29)
-
6. Eirgrid, SONI: ‘All-Island Generation Capacity Statement 2013–2022’, 2012. Accessed 16 September 2013. Available from: http://www.eirgrid.com/media/All-Island_GCS_2013-2022.pdf.
-
-
30)
-
21. Best, M., Brown, A., Hollis, P., et al: ‘Small-scale wind energy’. A Met Office Technical Report, 2008. Accessed 18 September 2013. Available from: http://www.carbontrust.com/media/85174/small-scale-wind-energy-technical-report.pdf.
-
-
31)
-
9. Risø National Laboratory: ‘European Wind Atlas: European wind resources at 50 metres’, 1989. Accessed 16 September 2013. Available from: http://www.windatlas.dk/Europe/landmap.html.
-
-
32)
-
22. Archer, C.L., Jacobson, M.Z.: ‘Spatial and temporal distributions of U.S. winds and wind power at 80 m derived from measurements’, J. Geophys. Res., Atmos., 2003, 108, p. 4289 (doi: 10.1029/2002JD002076).
-
-
33)
-
5. Eirgrid, SONI: ‘2011 Curtailment Report’, 2012. Accessed 4 July 2013. Available from: http://www.eirgrid.com/media/2011%20Curtailment%20Report.pdf.
-
-
34)
-
36. NISRA: ‘Household projections’, 2011. Accessed 29 September 2013. Available from: http://www.nisra.gov.uk/demography/default.asp21.htm.
-
-
35)
-
20. Saha, S., Moorthi, S., Pan, H., et al: ‘The NCEP climate forecast system reanalysis’, Bull. Am. Meteorol. Soc., 2010, 91, pp. 1015–1057 (doi: 10.1175/2010BAMS3001.1).
-
-
36)
-
7. Department of Communications, Energy and Natural Resources: ‘National Renewable Energy Action Plan’, 2010. Accessed 11 September 2013. Available from: http://www.dcenr.gov.ie/NR/rdonlyres/03DBA6CF-AD04-4ED3-B443-B9F63DF7FC07/0/IrelandNREAPv11Oct2010.pdf.
-
-
1)