Characterization of Self-Consumption in a Micro-Photovoltaic Installation in the Residential Sector of the NEA

Authors

  • Hugo Daniel Zurlo Universidad Tecnológica Nacional, Facultad Regional Resistencia, Grupo de Investigación en Tecnologías Energéticas Apropiadas (GITEA), Argentina.
  • Bettiana Ayelén Virgona Universidad Tecnológica Nacional, Facultad Regional Resistencia, Grupo de Investigación en Tecnologías Energéticas Apropiadas (GITEA), Argentina.
  • Leonardo Gastón Barabas Universidad Tecnológica Nacional, Facultad Regional Resistencia, Grupo de Investigación en Tecnologías Energéticas Apropiadas (GITEA), Argentina.
  • Gustavo Raúl Figueredo Universidad Tecnológica Nacional, Facultad Regional Resistencia, Grupo de Investigación en Tecnologías Energéticas Apropiadas (GITEA), Argentina.
  • Diego Martín Ferreyra Universidad Tecnológica Nacional, Facultad Regional San Francisco, Argentina.

DOI:

https://doi.org/10.33414/rtyc.56.59-85.2026

Keywords:

Photovoltaic self-consumption, Distributed generation, Residential photovoltaic systems.

Abstract

In grid-connected photovoltaic systems without energy storage, the inherent variability of both electricity demand and solar generation leads to complex dynamics of self-consumption and surplus injection. Given the typical disparity between purchase and feed-in tariffs, accurately estimating these fractions is essential for assessing the economic viability of such systems. This work proposes a method to characterize electrical loads using two dimensionless parameters—the temporal ratio and the load ratio—which, combined with the ratio between generated and demanded energy, enable the prediction of self-consumption and grid injection based on average demand and generation values. The method was applied to a 1100 Wp residential installation, yielding a self-consumption rate of 53 % and a 16 % coverage of the total electrical demand through photovoltaic generation. The results indicate that the procedure can estimate consumed and injected energy with an error below 20 %, demonstrating its potential as a preliminary evaluation tool for distributed generation.

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References

Amabile, L., Bresch-Pietri, D., El Hajje, G., Labbé, S. y Petit, N. (2020) An optimization methodology for self-consumption of residential photovoltaic energy. IFAC-PapersOnLine, 53(2), pp. 13196-13203. https://doi.org/10.1016/j.ifacol.2020.12.145

Comisión Nacional de Energía. (2024). Tarificación Eléctrica. Ministerio de Energía, Gobierno de Chile. https://www.cne.cl/tarificacion/electrica/

de Castro, R. D. (2015). Energia solar térmica e fotovoltaica em residências: Estudo comparativo em diversas localidades do Brasil (Master’s thesis, Universidade de Coimbra, Portugal) Biblioteca Digital da Universidade de Coimbra. https://baes.uc.pt/handle/10316/109981

Eltawil, M. A. & Zhao, Z. (2010) Grid-connected photovoltaic power systems: Technical and potential problems—A review. Renewable and Sustainable Energy Reviews, vol. 14(1), pp 112-129. https://doi.org/10.1016/j.rser.2009.07.015

Fachrizal, R., & Munkhammar, J. (2020). Improved Photovoltaic Self-Consumption in Residential Buildings with Distributed and Centralized Smart Charging of Electric Vehicles. Energies, 13(5), 1153. https://doi.org/10.3390/en13051153

Ferrer Vallin, M., Santos Fuentefria, A., Llamo Laborí, H. S. (2018) Análisis del factor de carga de un sistema eléctrico aislado con fuentes renovables de energía. Revista Científica Ingeniería Energética, 39(1), pp 13-20. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1815-59012018000100003

Garre, A. (2018), Análisis técnico y económico del impacto de las instalaciones de autoconsumo en las redes eléctricas: aplicación a la generación fotovoltaica integrada con recursos energéticos distribuidos. Trabajo fin de master, Universidad Politécnica de Cartagena, ETSII, pp. 119-130, http://hdl.handle.net/10317/6417

GlobalPetrolPrices.com. (2024). Electricity prices. https://www.globalpetrolprices.com/electricity_prices/

Hancevic, Pedro I. & Nuñez, Hector M. & Rosellon, Juan (2017). Distributed photovoltaic power generation: Possibilities, benefits, and challenges for a widespread application in the Mexican residential sector. Energy Policy, Elsevier, vol. 110(C), pages 478-489. https://doi.org/10.1016/j.enpol.2017.08.046

Heleno, M., Rua, D., Gouveia, C., Madureira, A., Matos, M. A., Lopes, J. P., Silva, N., Salustio, S. (2015), Optimizing PV self-consumption through electric water heater modeling and scheduling. 2015 IEEE Eindhoven PowerTech, Eindhoven, Netherlands, pp. 1-6, https://doi.org/10.1109/PTC.2015.7232636

Kichou, S., Skandalos, N., Wolf, P. (2020). “Evaluation of photovoltaic and battery storage effects on the load matching indicators based on real monitored data”. Energies, 13(11), 2727. https://doi.org/10.3390/en13112727

Luthander, R., Widén, J., Nilsson, D., y Palm, J. (2015). Photovoltaic self-consumption in buildings: A review. Applied Energy, vol. 142, pp. 80–94, https://doi.org/10.1016/j.apenergy.2014.12.028

Maranda, W. (2019). Analysis of selfconsumption of energy from gridconnected photovoltaic system for various load scenarios with shortterm buffering. SN Appl. Sci. 1, 406. https://doi.org/10.1007/s42452-019-0432-5

Poder Ejecutivo. (2010). Decreto N.º 173/010. Autorización a la Administración Nacional de Usinas y Transmisiones Eléctricas (U.T.E.) a suscribir convenios de conexión con microgeneradores. Centro de Información Oficial (IMPO), Uruguay. https://www.impo.com.uy/bases/decretos/173-2010

Presidência da República. (2022). Lei Nº 14.300, de 6 de janeiro de 2022. Institui o marco legal da microgeração e minigeração distribuída. Portal do Planalto, Brasil. https://www.planalto.gov.br/ccivil_03/_ato2019-2022/2022/lei/l14300.htm

SEChEEP. (2021). Cuadro tarifario residencial vigente – Resolución 788/21. Servicio Energético del Chaco. https://www.secheep.gob.ar/wp-content/uploads/2021/07/SECHEEP-cuadro-tarifario-RESIDENCIAL-RESIDENCIAL-RURAL-COMERCIAL-RESOLUCION-788-21.pdf

Sossan, F., Kosek, A. M., Martinenas, S., Marinelli, M., Bindner, H. (2013). ,Scheduling of domestic water heater power demand for maximizing PV self-consumption using model predictive control“, IEEE PES ISGT Europe 2013, Lyngby, Denmark, pp. 1-5, https://doi.org/10.1109/ISGTEurope.2013.6695317

Szwarc, G., Rocchia, N., Ferreyra, D. (2020). Validación de las mediciones de energía del inversor de una instalación solar fotovoltaica conectada a red. Jornadas de Ciencia y Tecnología, Universidad Tecnológica Nacional, Facultad Regional San Francisco. http://hdl.handle.net/20.500.12272/4555

UDEA. (2025). Informe Sectorial Energía – Enero 2025. Unidad de Desarrollo Energético Argentino. https://www.udea.org.ar/newsroom/archivosinformes/Informe%20Sectorial%20Enero%202025.pdf

Weitemeyer, S., Kleinhans, D., Vogt, T., Agert, C. (2015). “Integration of renewable energy sources in future power systems: The role of storage”. Renewable Energy, 75, 14–20. https://doi.org/10.1016/j.renene.2014.09.028

Widén, J. (2014). Improved photovoltaic self-consumption with appliance scheduling in 200 single-family buildings. Applied Energy, Volume 126, Pages 199-212, ISSN 0306-2619, https://doi.org/10.1016/j.apenergy.2014.04.008

Yan, J. & Yang, X. (2021). Thermal energy storage: An overview of papers published in Applied Energy 285, 116397. https://doi.org/10.1016/j.apenergy.2020.116397

Zurlo, H., Virgona, B., Barabas, L., Figueredo, G. (2025). Método para evaluar la energía inyectada y consumida desde la red en sistemas de generación distribuida fotovoltaica residencial del nordeste argentino. Actas del XLVII Congreso de la Asociación Argentina de Energías Renovables y Ambiente, ASADES 2025, La Plata, Argentina, 28 al 31 de octubre, pag 49. http://sedici.unlp.edu.ar/handle/10915/193728

Published

2026-07-08

How to Cite

Zurlo, H. D. ., Virgona, B. A. ., Barabas, L. G., Figueredo, G. R., & Ferreyra , D. M. (2026). Characterization of Self-Consumption in a Micro-Photovoltaic Installation in the Residential Sector of the NEA. Technology and Science Magazine, (56), 59–85. https://doi.org/10.33414/rtyc.56.59-85.2026