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Energy Harvesting Towards Power Autonomous Sensors in Smart Grids

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Smart Grids—Renewable Energy, Power Electronics, Signal Processing and Communication Systems Applications

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Wireless sensors have gained popularity in smart grids scenario, and their increasing number, together with efficient data processing and decision-making, can optimize the entire operation of electricity generation and distribution. In order to meet the sensor energy demand, low-power energy harvesting systems have become a promising alternative since their principle is converting energy available in the surrounding environment into useful electrical energy to supply low-power devices. The advantage of this technique is the abundance and availability of ambient energy sources that, despite having low energy density, are sufficient to individually power each intended sensor continuously, presenting similar versatility to batteries but without constant replacement. In this context, this chapter intends to survey the leading energy harvesting techniques for wireless power sensors in a smart grid scenario, focusing on mechanical, Radio Frequency (RF), and solar sources, presenting their basic topologies, working principles, capabilities, and main characteristics.

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Acknowledgements

This research was supported by Coordenaáo de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) under grant 001, Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) under grants 2019/25866-7, 2022/10876-0, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) under grant 404068/2020-0, Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) under grant APQ-03609-17 and Instituto Nacional de Energia Elétrica (INERGE).

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Authors and Affiliations

  1. Institute of Embedded Systems (InES) at the Applied Science University of Winterthur, Technikumstrasse 9, Wintethur, Switzerland

    Eduardo V. Valdés Cambero

  2. Federal University of ABC, Ave. Dos Estados, 5001, Santo André, SP, 09210-580, Brazil

    Vinícius S. Silva, Humberto P. Paz, Renan Trevisoli, Carlos E. Capovilla & Ivan R. S. Casella

  3. Pontifícia Universidade Católica de São Paulo, São Paulo, 01303-050, Brazil

    Renan Trevisoli

Authors
  1. Eduardo V. Valdés Cambero
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  2. Vinícius S. Silva
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  3. Humberto P. Paz
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  4. Renan Trevisoli
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  5. Carlos E. Capovilla
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  6. Ivan R. S. Casella
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Corresponding author

Correspondence to Vinícius S. Silva .

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Editors and Affiliations

  1. Federal University of ABC—UFABC, Bangú, Santo André, São Paulo, Brazil

    Alfeu J. Sguarezi Filho

  2. Ciência e Tecnologia de São Paulo—IFSP Câmpus Hortolândia, Instituto Federal de Educação, Hortolândia, Brazil

    Rogério V. Jacomini

  3. Federal University of ABC—UFABC, Santo André, São Paulo, Brazil

    Carlos E. Capovilla

  4. Federal University of ABC—UFABC, Santo André, São Paulo, Brazil

    Ivan Roberto Santana Casella

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Valdés Cambero, E.V., Silva, V.S., Paz, H.P., Trevisoli, R., Capovilla, C.E., Casella, I.R.S. (2024). Energy Harvesting Towards Power Autonomous Sensors in Smart Grids. In: Sguarezi Filho, A.J., Jacomini, R.V., Capovilla, C.E., Casella, I.R.S. (eds) Smart Grids—Renewable Energy, Power Electronics, Signal Processing and Communication Systems Applications. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-37909-3_1

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  • DOI: https://doi.org/10.1007/978-3-031-37909-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37908-6

  • Online ISBN: 978-3-031-37909-3

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