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Economic and environmental impact of lead-acid batteries in grid-connected domestic PV systems

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  • McKenna, Eoghan
  • McManus, Marcelle
  • Cooper, Sam
  • Thomson, Murray

Abstract

Occupants of dwellings with grid-connected photovoltaic (PV) systems can often benefit financially from exporting electricity to the grid. When export prices are lower than import prices, however, occupants are incentivised to time-shift demand in order to avoid exports and reduce imports. To maximise this potential financial benefit, the addition of batteries to the PV system has been proposed to take advantage of the specific commercial opportunity presented to the occupant of trading exported power during the day for imported power during the evening. This paper therefore assesses the economic and environmental impact of the use of lead-acid batteries in grid-connected PV systems under current feed-in tariff arrangements in the UK. The development of a lead-acid battery model is described, which is used to simulate hypothetical power flows using measured data on domestic PV systems in the UK. The simulation results indicate that the net benefit of the battery is negative, even when considering an idealised lossless battery. When realistic energy losses and lifetimes are accounted for, the financial loss for the systems considered here can approach £1000/year. The environmental impact of the use and production of the lead-acid battery is also described, and also found to be negative, further strengthening the argument against the use of lead-acid batteries in domestic grid-connected PV systems.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:104:y:2013:i:c:p:239-249
    DOI: 10.1016/j.apenergy.2012.11.016
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    References listed on IDEAS

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    1. Keirstead, James, 2007. "Behavioural responses to photovoltaic systems in the UK domestic sector," Energy Policy, Elsevier, vol. 35(8), pages 4128-4141, August.
    2. Landgrebe, Albert R. & Donley, Samuel W., 1983. "Battery storage in residential applications of energy from photovoltaic sources," Applied Energy, Elsevier, vol. 15(2), pages 127-137.
    3. Mondol, Jayanta Deb & Yohanis, Yigzaw G & Norton, Brian, 2009. "Optimising the economic viability of grid-connected photovoltaic systems," Applied Energy, Elsevier, vol. 86(7-8), pages 985-999, July.
    4. McManus, M.C., 2012. "Environmental consequences of the use of batteries in low carbon systems: The impact of battery production," Applied Energy, Elsevier, vol. 93(C), pages 288-295.
    5. Grünewald, Philipp & Cockerill, Tim & Contestabile, Marcello & Pearson, Peter, 2011. "The role of large scale storage in a GB low carbon energy future: Issues and policy challenges," Energy Policy, Elsevier, vol. 39(9), pages 4807-4815, September.
    6. Hawkes, A.D., 2010. "Estimating marginal CO2 emissions rates for national electricity systems," Energy Policy, Elsevier, vol. 38(10), pages 5977-5987, October.
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