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Influence of time resolution in the estimation of self-consumption and self-sufficiency of photovoltaic facilities

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  • Ayala-Gilardón, A.
  • Sidrach-de-Cardona, M.
  • Mora-López, L.

Abstract

The main objective of this paper is to analyze and evaluate the impact of time resolution when estimating self-consumption and self-sufficiency in grid-connected photovoltaic facilities. The consumption data were obtained from a photovoltaic facility installed in Malaga (Spain). They were extrapolated to analyze other PV facility sizes for the same location. The size of the PV installation that generates an annual energy equal to the annual consumption has been estimated. This size has been used as benchmark size in order to generalize the results. The different time resolutions analyzed to estimate self-sufficiency and self-consumption parameters range from 10 s to one year. These different time aggregation levels are related to the different net-metering regulations. The results show that using hourly data overestimates these parameters compared to the results at smaller time resolutions; when hourly data are used instead of 10 s data, the differences between these parameters are around 9%. This may be due to the fact that this, and higher, time resolution does not take steady state voltages and power flows into account. Thus, increasing the time resolution can cause relevant information loss. Moreover, the results are also useful for analyzing different net metering systems by means of the self-consumption and self-sufficiency metrics. Self-consumption and self-sufficiency for the facility benchmark size range from 48% to 98% depending on the time resolution.

Suggested Citation

  • Ayala-Gilardón, A. & Sidrach-de-Cardona, M. & Mora-López, L., 2018. "Influence of time resolution in the estimation of self-consumption and self-sufficiency of photovoltaic facilities," Applied Energy, Elsevier, vol. 229(C), pages 990-997.
    • Handle: RePEc:eee:appene:v:229:y:2018:i:c:p:990-997
    DOI: 10.1016/j.apenergy.2018.08.072
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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. Salom, Jaume & Marszal, Anna Joanna & Widén, Joakim & Candanedo, José & Lindberg, Karen Byskov, 2014. "Analysis of load match and grid interaction indicators in net zero energy buildings with simulated and monitored data," Applied Energy, Elsevier, vol. 136(C), pages 119-131.
    3. Kools, L. & Phillipson, F., 2016. "Data granularity and the optimal planning of distributed generation," Energy, Elsevier, vol. 112(C), pages 342-352.
    4. Nyholm, Emil & Goop, Joel & Odenberger, Mikael & Johnsson, Filip, 2016. "Solar photovoltaic-battery systems in Swedish households – Self-consumption and self-sufficiency," Applied Energy, Elsevier, vol. 183(C), pages 148-159.
    5. 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.
    6. Linssen, Jochen & Stenzel, Peter & Fleer, Johannes, 2017. "Techno-economic analysis of photovoltaic battery systems and the influence of different consumer load profiles," Applied Energy, Elsevier, vol. 185(P2), pages 2019-2025.
    7. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2015. "Environmental impacts of microgeneration: Integrating solar PV, Stirling engine CHP and battery storage," Applied Energy, Elsevier, vol. 139(C), pages 245-259.
    8. López Prol, Javier & Steininger, Karl W., 2017. "Photovoltaic self-consumption regulation in Spain: Profitability analysis and alternative regulation schemes," Energy Policy, Elsevier, vol. 108(C), pages 742-754.
    9. Klein, Konstantin & Langner, Robert & Kalz, Doreen & Herkel, Sebastian & Henning, Hans-Martin, 2016. "Grid support coefficients for electricity-based heating and cooling and field data analysis of present-day installations in Germany," Applied Energy, Elsevier, vol. 162(C), pages 853-867.
    10. Quoilin, Sylvain & Kavvadias, Konstantinos & Mercier, Arnaud & Pappone, Irene & Zucker, Andreas, 2016. "Quantifying self-consumption linked to solar home battery systems: Statistical analysis and economic assessment," Applied Energy, Elsevier, vol. 182(C), pages 58-67.
    11. Wright, Andrew & Firth, Steven, 2007. "The nature of domestic electricity-loads and effects of time averaging on statistics and on-site generation calculations," Applied Energy, Elsevier, vol. 84(4), pages 389-403, April.
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