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Assessing the influence of the temporal resolution of electrical load and PV generation profiles on self-consumption and sizing of PV-battery systems

Author

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  • Beck, T.
  • Kondziella, H.
  • Huard, G.
  • Bruckner, T.

Abstract

The interest in self-consumption of electricity generated by rooftop photovoltaic systems has grown in recent years, fueled by decreasing levelized costs of electricity and feed-in tariffs as well as increasing end customer electricity prices in the residential sector. This also fostered research on grid-connected PV-battery storage systems, which are a promising technology to increase self-consumption. In this paper a mixed-integer linear optimization model of a PV-battery system that minimizes the total discounted operating and investment costs is developed. The model is employed to study the effect of the temporal resolution of electrical load and PV generation profiles on the rate of self-consumption and the optimal sizing of PV and PV-battery systems. In contrast to previous studies high resolution (10s) measured input data for both PV generation and electrical load profiles is used for the analysis. The data was obtained by smart meter measurements in 25 different households in Germany. It is shown that the temporal resolution of load profiles is more critical for the accuracy of the determination of self-consumption rates than the resolution of the PV generation. For PV-systems without additional storage accurate results can be obtained by using 15min solar irradiation data. The required accuracy for the electrical load profiles depends strongly on the load profile characteristics. While good results can be obtained with 60s for all electrical load profiles, 15min data can still be sufficient for load profiles that do not exhibit most of their electricity consumption at power levels above 2kW. For PV-battery systems the influence of the temporal resolution on the rate of self-consumption becomes less distinct. Depending on the load profile, temporal resolutions between 5min and 60min yield good results. For optimal sizing of the PV power and the storage capacity a resolution of 60min is found to be sufficient. For the sizing of the battery inverter power of the storage system, a finer temporal resolution of at least 300s is necessary.

Suggested Citation

  • Beck, T. & Kondziella, H. & Huard, G. & Bruckner, T., 2016. "Assessing the influence of the temporal resolution of electrical load and PV generation profiles on self-consumption and sizing of PV-battery systems," Applied Energy, Elsevier, vol. 173(C), pages 331-342.
    • Handle: RePEc:eee:appene:v:173:y:2016:i:c:p:331-342
    DOI: 10.1016/j.apenergy.2016.04.050
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    References listed on IDEAS

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    1. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    2. Parra, David & Gillott, Mark & Norman, Stuart A. & Walker, Gavin S., 2015. "Optimum community energy storage system for PV energy time-shift," Applied Energy, Elsevier, vol. 137(C), pages 576-587.
    3. Matallanas, E. & Castillo-Cagigal, M. & Gutiérrez, A. & Monasterio-Huelin, F. & Caamaño-Martín, E. & Masa, D. & Jiménez-Leube, J., 2012. "Neural network controller for Active Demand-Side Management with PV energy in the residential sector," Applied Energy, Elsevier, vol. 91(1), pages 90-97.
    4. Moshövel, Janina & Kairies, Kai-Philipp & Magnor, Dirk & Leuthold, Matthias & Bost, Mark & Gährs, Swantje & Szczechowicz, Eva & Cramer, Moritz & Sauer, Dirk Uwe, 2015. "Analysis of the maximal possible grid relief from PV-peak-power impacts by using storage systems for increased self-consumption," Applied Energy, Elsevier, vol. 137(C), pages 567-575.
    5. Parra, David & Patel, Martin K., 2016. "Effect of tariffs on the performance and economic benefits of PV-coupled battery systems," Applied Energy, Elsevier, vol. 164(C), pages 175-187.
    6. 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.
    7. Cao, Sunliang & Sirén, Kai, 2014. "Impact of simulation time-resolution on the matching of PV production and household electric demand," Applied Energy, Elsevier, vol. 128(C), pages 192-208.
    8. Masa-Bote, D. & Castillo-Cagigal, M. & Matallanas, E. & Caamaño-Martín, E. & Gutiérrez, A. & Monasterio-Huelín, F. & Jiménez-Leube, J., 2014. "Improving photovoltaics grid integration through short time forecasting and self-consumption," Applied Energy, Elsevier, vol. 125(C), pages 103-113.
    9. 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.
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