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Modelling impact of PV battery systems on energy consumption and bill savings of Australian houses under alternative tariff structures

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  • Ren, Zhengen
  • Grozev, George
  • Higgins, Andrew

Abstract

This study assessed the impact of (Photo-Voltaic) PV battery systems on peak demand and energy consumption, and thus bill savings across households under two existing and nine potential electricity tariffs. Using case studies of old and new houses, we found an installation of 5.5 kW PV reduced the peak demand of the old houses from the grid by 16.5%, 14.9% and 10.9% respectively in Townsville, Sydney and Melbourne, Australia respectively. The corresponding decreased in its annual electricity consumption from the grid were 84%, 82% and 163%. The peak demand reduction of the new houses were less than that of the old houses, whilst the annual electricity consumption reductions were larger. Adding 16 kWh battery storage more than doubled the peak demand reduction in Townsville and Melbourne. We also found that, with PV alone, households on tariff of flat rate retail energy and network capacity charge had the greatest bill savings for both houses in the three cities. With adoption of PV battery systems, the greatest savings occurred at the households on tariff of critical peak pricing retail energy and network capacity charge. This information is useful for cost-effective use of renewable energy in residential buildings.

Suggested Citation

  • Ren, Zhengen & Grozev, George & Higgins, Andrew, 2016. "Modelling impact of PV battery systems on energy consumption and bill savings of Australian houses under alternative tariff structures," Renewable Energy, Elsevier, vol. 89(C), pages 317-330.
    • Handle: RePEc:eee:renene:v:89:y:2016:i:c:p:317-330
    DOI: 10.1016/j.renene.2015.12.021
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    References listed on IDEAS

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    1. Gaiser, Kyle & Stroeve, Pieter, 2014. "The impact of scheduling appliances and rate structure on bill savings for net-zero energy communities: Application to West Village," Applied Energy, Elsevier, vol. 113(C), pages 1586-1595.
    2. Colmenar-Santos, Antonio & Campíñez-Romero, Severo & Pérez-Molina, Clara & Castro-Gil, Manuel, 2012. "Profitability analysis of grid-connected photovoltaic facilities for household electricity self-sufficiency," Energy Policy, Elsevier, vol. 51(C), pages 749-764.
    3. Mulder, Grietus & Six, Daan & Claessens, Bert & Broes, Thijs & Omar, Noshin & Mierlo, Joeri Van, 2013. "The dimensioning of PV-battery systems depending on the incentive and selling price conditions," Applied Energy, Elsevier, vol. 111(C), pages 1126-1135.
    4. Ho, W.S. & Hashim, H. & Hassim, M.H. & Muis, Z.A. & Shamsuddin, N.L.M., 2012. "Design of distributed energy system through Electric System Cascade Analysis (ESCA)," Applied Energy, Elsevier, vol. 99(C), pages 309-315.
    5. McKenna, Eoghan & McManus, Marcelle & Cooper, Sam & Thomson, Murray, 2013. "Economic and environmental impact of lead-acid batteries in grid-connected domestic PV systems," Applied Energy, Elsevier, vol. 104(C), pages 239-249.
    6. Ren, Zhengen & Paevere, Phillip & McNamara, Cheryl, 2012. "A local-community-level, physically-based model of end-use energy consumption by Australian housing stock," Energy Policy, Elsevier, vol. 49(C), pages 586-596.
    7. Drude, Lukas & Pereira Junior, Luiz Carlos & Rüther, Ricardo, 2014. "Photovoltaics (PV) and electric vehicle-to-grid (V2G) strategies for peak demand reduction in urban regions in Brazil in a smart grid environment," Renewable Energy, Elsevier, vol. 68(C), pages 443-451.
    8. Clastres, C. & Ha Pham, T.T. & Wurtz, F. & Bacha, S., 2010. "Ancillary services and optimal household energy management with photovoltaic production," Energy, Elsevier, vol. 35(1), pages 55-64.
    9. Newsham, Guy R. & Bowker, Brent G., 2010. "The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review," Energy Policy, Elsevier, vol. 38(7), pages 3289-3296, July.
    10. Mills, Andrew & Wiser, Ryan & Barbose, Galen & Golove, William, 2008. "The impact of retail rate structures on the economics of commercial photovoltaic systems in California," Energy Policy, Elsevier, vol. 36(9), pages 3266-3277, September.
    11. Herter, Karen & Wayland, Seth, 2010. "Residential response to critical-peak pricing of electricity: California evidence," Energy, Elsevier, vol. 35(4), pages 1561-1567.
    12. Faruqui, Ahmad & George, Stephen, 2005. "Quantifying Customer Response to Dynamic Pricing," The Electricity Journal, Elsevier, vol. 18(4), pages 53-63, May.
    13. Mostafa Baladi, S. & Herriges, Joseph A. & Sweeney, Thomas J., 1998. "Residential response to voluntary time-of-use electricity rates," Resource and Energy Economics, Elsevier, vol. 20(3), pages 225-244, September.
    14. Ren, Zhengen & Paevere, Phillip & Grozev, George & Egan, Stephen & Anticev, Julia, 2013. "Assessment of end-use electricity consumption and peak demand by Townsville's housing stock," Energy Policy, Elsevier, vol. 61(C), pages 888-893.
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