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Correlation analysis on wind and hydro resources with electricity demand and prices in New Zealand

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  • Suomalainen, Kiti
  • Pritchard, Geoffrey
  • Sharp, Basil
  • Yuan, Ziqi
  • Zakeri, Golbon

Abstract

In this paper we study the spatial and temporal distribution of the wind and hydro resources, together with electricity demand and prices, with the objective to gain insights on the trade-offs of developing wind power in different parts of the country. It is particularly important to understand the impacts of a high penetration level of wind power on an electricity market that is already highly influenced by seasonal hydro power availability. The correlation between the seasonal patterns of wind, hydro, demand and prices has received little attention in the literature. In our approach, we separate daily deviations from the expected seasonal value, and show that for some locations it is the anomalies that have a more significant correlation with electricity prices than the seasonal patterns themselves. This indicates that the correlation results for anomalies from different wind sites can give valuable information on wind resource availability in critical periods of the year, such as dry seasons, and thereby enables identifying sites that can most optimally balance price volatility during these periods while potentially also maximising profits to investors. Even though the numerical results pertain to New Zealand, our methodology is applicable to any electricity system that utilises wind and hydro resources such as Chile, Colombia and several North American and Northern European jurisdictions.

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  • Suomalainen, Kiti & Pritchard, Geoffrey & Sharp, Basil & Yuan, Ziqi & Zakeri, Golbon, 2015. "Correlation analysis on wind and hydro resources with electricity demand and prices in New Zealand," Applied Energy, Elsevier, vol. 137(C), pages 445-462.
  • Handle: RePEc:eee:appene:v:137:y:2015:i:c:p:445-462
    DOI: 10.1016/j.apenergy.2014.10.015
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    as
    1. Belanger, Camille & Gagnon, Luc, 2002. "Adding wind energy to hydropower," Energy Policy, Elsevier, vol. 30(14), pages 1279-1284, November.
    2. Rahimiyan, Morteza & Morales, Juan M. & Conejo, Antonio J., 2011. "Evaluating alternative offering strategies for wind producers in a pool," Applied Energy, Elsevier, vol. 88(12), pages 4918-4926.
    3. Cutler, Nicholas J. & Boerema, Nicholas D. & MacGill, Iain F. & Outhred, Hugh R., 2011. "High penetration wind generation impacts on spot prices in the Australian national electricity market," Energy Policy, Elsevier, vol. 39(10), pages 5939-5949, October.
    4. Atkins, Martin J. & Morrison, Andrew S. & Walmsley, Michael R.W., 2010. "Carbon Emissions Pinch Analysis (CEPA) for emissions reduction in the New Zealand electricity sector," Applied Energy, Elsevier, vol. 87(3), pages 982-987, March.
    5. Sreedharan, P. & Miller, D. & Price, S. & Woo, C.K., 2012. "Avoided cost estimation and cost-effectiveness of permanent load shifting in California," Applied Energy, Elsevier, vol. 96(C), pages 115-121.
    6. Roques, Fabien & Hiroux, Céline & Saguan, Marcelo, 2010. "Optimal wind power deployment in Europe--A portfolio approach," Energy Policy, Elsevier, vol. 38(7), pages 3245-3256, July.
    7. Sinden, Graham, 2007. "Characteristics of the UK wind resource: Long-term patterns and relationship to electricity demand," Energy Policy, Elsevier, vol. 35(1), pages 112-127, January.
    8. Li, Gong & Shi, Jing, 2012. "Agent-based modeling for trading wind power with uncertainty in the day-ahead wholesale electricity markets of single-sided auctions," Applied Energy, Elsevier, vol. 99(C), pages 13-22.
    9. Walmsley, Michael R.W. & Walmsley, Timothy G. & Atkins, Martin J. & Kamp, Peter J.J. & Neale, James R., 2014. "Minimising carbon emissions and energy expended for electricity generation in New Zealand through to 2050," Applied Energy, Elsevier, vol. 135(C), pages 656-665.
    10. Denault, Michel & Dupuis, Debbie & Couture-Cardinal, Sébastien, 2009. "Complementarity of hydro and wind power: Improving the risk profile of energy inflows," Energy Policy, Elsevier, vol. 37(12), pages 5376-5384, December.
    11. Kaldellis, J. K. & Kavadias, K. A., 2001. "Optimal wind-hydro solution for Aegean Sea islands' electricity-demand fulfilment," Applied Energy, Elsevier, vol. 70(4), pages 333-354, December.
    12. Sáenz de Miera, Gonzalo & del Ri­o González, Pablo & Vizcaino, Ignacio, 2008. "Analysing the impact of renewable electricity support schemes on power prices: The case of wind electricity in Spain," Energy Policy, Elsevier, vol. 36(9), pages 3345-3359, September.
    13. Krumdieck, Susan, 2009. "New Zealand energy strategy--Introduction to the energy policy special issue," Energy Policy, Elsevier, vol. 37(9), pages 3297-3300, September.
    14. Barton, Barry, 1999. "Risk and promise in energy market liberalization: consumer choice in buying electricity," Applied Energy, Elsevier, vol. 64(1-4), pages 275-288, September.
    15. Kelly, Geoff, 2011. "History and potential of renewable energy development in New Zealand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2501-2509, June.
    16. Wu, Jung-Hua & Huang, Yun-Hsun, 2014. "Electricity portfolio planning model incorporating renewable energy characteristics," Applied Energy, Elsevier, vol. 119(C), pages 278-287.
    17. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    18. Vilim, Michael & Botterud, Audun, 2014. "Wind power bidding in electricity markets with high wind penetration," Applied Energy, Elsevier, vol. 118(C), pages 141-155.
    19. Purvins, Arturs & Zubaryeva, Alyona & Llorente, Maria & Tzimas, Evangelos & Mercier, Arnaud, 2011. "Challenges and options for a large wind power uptake by the European electricity system," Applied Energy, Elsevier, vol. 88(5), pages 1461-1469, May.
    20. Woo, C.K. & Li, R. & Shiu, A. & Horowitz, I., 2013. "Residential winter kWh responsiveness under optional time-varying pricing in British Columbia," Applied Energy, Elsevier, vol. 108(C), pages 288-297.
    21. Bakos, George C., 2002. "Feasibility study of a hybrid wind/hydro power-system for low-cost electricity production," Applied Energy, Elsevier, vol. 72(3-4), pages 599-608, July.
    22. Sims, Ralph E.H., 1996. "A sustainable energy future for New Zealand," Renewable Energy, Elsevier, vol. 9(1), pages 1049-1054.
    23. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2008. "The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Energy Policy, Elsevier, vol. 36(8), pages 3076-3084, August.
    24. Woo, C.K. & Horowitz, I. & Moore, J. & Pacheco, A., 2011. "The impact of wind generation on the electricity spot-market price level and variance: The Texas experience," Energy Policy, Elsevier, vol. 39(7), pages 3939-3944, July.
    25. Mason, I.G. & Page, S.C. & Williamson, A.G., 2010. "A 100% renewable electricity generation system for New Zealand utilising hydro, wind, geothermal and biomass resources," Energy Policy, Elsevier, vol. 38(8), pages 3973-3984, August.
    26. Drake, Ben & Hubacek, Klaus, 2007. "What to expect from a greater geographic dispersion of wind farms?--A risk portfolio approach," Energy Policy, Elsevier, vol. 35(8), pages 3999-4008, August.
    27. Sahin, Cem & Shahidehpour, Mohammad & Erkmen, Ismet, 2012. "Generation risk assessment in volatile conditions with wind, hydro, and natural gas units," Applied Energy, Elsevier, vol. 96(C), pages 4-11.
    28. Munksgaard, Jesper & Morthorst, Poul Erik, 2008. "Wind power in the Danish liberalised power market--Policy measures, price impact and investor incentives," Energy Policy, Elsevier, vol. 36(10), pages 3940-3947, October.
    29. Baringo, L. & Conejo, A.J., 2011. "Wind power investment within a market environment," Applied Energy, Elsevier, vol. 88(9), pages 3239-3247.
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