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Strategies for correlating solar PV array production with electricity demand

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  • Richardson, David B.
  • Harvey, L.D.D.

Abstract

One of the main advantages of solar photovoltaic (PV) energy is its availability during periods of high electricity demand, namely hot, sunny days. Unfortunately, the daily energy peak of a south-facing solar panel, oriented to maximize energy production, rarely coincides with the actual peak in electricity demand, which is usually in the late afternoon or evening. Using the Province of Ontario, Canada, as a case study, this paper evaluates three strategies for improving the correlation between PV energy production and electricity demand: optimally orienting PV modules, combining geographically dispersed arrays, and using a simple energy storage system. The strategies are compared based on their ability to improve the supply-demand correlation, their relative cost of energy, and the capacity credit of each strategy. We find that optimally orienting multiple modules in an array offers little potential to improve correlation, while the cost of energy increases between 30 and 40%. Geographically dispersed PV arrays and energy storage offer a better approach to improving the correlation between PV production and electricity demand.

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  • Richardson, David B. & Harvey, L.D.D., 2015. "Strategies for correlating solar PV array production with electricity demand," Renewable Energy, Elsevier, vol. 76(C), pages 432-440.
    • Handle: RePEc:eee:renene:v:76:y:2015:i:c:p:432-440
    DOI: 10.1016/j.renene.2014.11.053
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    1. Walawalkar, Rahul & Apt, Jay & Mancini, Rick, 2007. "Economics of electric energy storage for energy arbitrage and regulation in New York," Energy Policy, Elsevier, vol. 35(4), pages 2558-2568, April.
    2. Rowlands, Ian H., 2005. "Solar PV electricity and market characteristics: two Canadian case-studies," Renewable Energy, Elsevier, vol. 30(6), pages 815-834.
    3. Sadineni, Suresh B. & Atallah, Fady & Boehm, Robert F., 2012. "Impact of roof integrated PV orientation on the residential electricity peak demand," Applied Energy, Elsevier, vol. 92(C), pages 204-210.
    4. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    5. Solomon, A.A. & Faiman, D. & Meron, G., 2010. "The effects on grid matching and ramping requirements, of single and distributed PV systems employing various fixed and sun-tracking technologies," Energy Policy, Elsevier, vol. 38(10), pages 5469-5481, October.
    6. Rowlands, Ian H. & Kemery, Briana Paige & Beausoleil-Morrison, Ian, 2011. "Optimal solar-PV tilt angle and azimuth: An Ontario (Canada) case-study," Energy Policy, Elsevier, vol. 39(3), pages 1397-1409, March.
    7. Denholm, Paul & Margolis, Robert M., 2007. "Evaluating the limits of solar photovoltaics (PV) in electric power systems utilizing energy storage and other enabling technologies," Energy Policy, Elsevier, vol. 35(9), pages 4424-4433, September.
    8. Denholm, Paul & Margolis, Robert M., 2007. "Evaluating the limits of solar photovoltaics (PV) in traditional electric power systems," Energy Policy, Elsevier, vol. 35(5), pages 2852-2861, May.
    9. Rowlands, Ian H. & Kemery, Briana Paige & Beausoleil-Morrison, Ian, 2014. "Managing solar-PV variability with geographical dispersion: An Ontario (Canada) case-study," Renewable Energy, Elsevier, vol. 68(C), pages 171-180.
    10. Ridley, Barbara & Boland, John & Lauret, Philippe, 2010. "Modelling of diffuse solar fraction with multiple predictors," Renewable Energy, Elsevier, vol. 35(2), pages 478-483.
    11. Paatero, Jukka V. & Lund, Peter D., 2007. "Effects of large-scale photovoltaic power integration on electricity distribution networks," Renewable Energy, Elsevier, vol. 32(2), pages 216-234.
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