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Sizing of Urban Power Systems Based on Renewable Sources

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Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference (DCAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 741))

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Abstract

In recent years, sustainable power supply has become a necessary asset for the daily survival and development of populations. The incentive to the use of renewable energies has been increasing worldwide. Solar energy, in particular, is widespreading fast in countries whose location allows to obtain excellent radiation conditions. In this work, autonomous photovoltaic (PV) systems are studied, having as main aim its application in the supply of urban loads. For this purpose, a PV system is designed to supply the decorative lighting of a monument. Particular emphasis is given to studying the behavior of the energy storage system. The achieved results demonstrate that the use of this type of systems is a very efficient solution for the municipalities to supply several urban loads such as fountains, traffic lights, decorative lighting, among others.

This research presents the results of a training course framed in the project: Energy Transition Entrepreneurs in Action (ETEIA), funded by the European Institute of Innovation and Technology (EIT) under the HEI Initiative: Innovation Capacity Building for Higher Education. HEI Grant Agreement N 10036.

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Author information

Authors and Affiliations

  1. Department of Engineering, University of Trás-os-Montes and Alto Douro, 5000-801, Vila Real, Portugal

    Dani Vidal, Tiago Pinto & José Baptista

  2. INESC-TEC, UTAD’s Pole, 5000-801, Vila Real, Portugal

    Tiago Pinto & José Baptista

Authors
  1. Dani Vidal
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  2. Tiago Pinto
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  3. José Baptista
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Corresponding author

Correspondence to Tiago Pinto .

Editor information

Editors and Affiliations

  1. High Performance Computing Center, King Abdulaziz University, Jeddah, Saudi Arabia

    Rashid Mehmood

  2. University of Minho, Braga, Portugal

    Victor Alves

  3. ISEP/GECAD, Instituto Superior de Engenharia do Port, Porto, Portugal

    Isabel Praça

  4. Kielce University of Technology, Kielce, Poland

    Jarosław Wikarek

  5. BISITE, University of Salamanca, Salamanca, Spain

    Javier Parra-Domínguez

  6. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Roussanka Loukanova

  7. Universidad de Valladolid, Valladolid, Spain

    Ignacio de Miguel

  8. INESC-TEC and GECAD/ISEP, Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Tiago Pinto

  9. Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Ricardo Nunes

  10. University of Calabria, Arcavacata, Rende CS, Cosenza, Italy

    Michela Ricca

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Vidal, D., Pinto, T., Baptista, J. (2023). Sizing of Urban Power Systems Based on Renewable Sources. In: Mehmood, R., et al. Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-031-38318-2_26

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