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RF Energy Harvesting

Author

Listed:
  • Jakub Szut

    (Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering, Department of Automatic Control and Robotics, AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Krakow, Poland)

  • Paweł Piątek

    (Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering, Department of Automatic Control and Robotics, AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Krakow, Poland)

  • Mariusz Pauluk

    (Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering, Department of Automatic Control and Robotics, AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Krakow, Poland)

Abstract

This article presents research on the usefulness of three different electric circuit simulation environments for exploring energy harvesting from electromagnetic waves using energy harvesters. The software that is compared includes KiCad EDA, LT Spice and MATLAB Simscape Electrical.Too prepare a common background for the results comparison, crucial equations that combine RF transmission with energy are presented. Commercially available harvesters are also presented. An overview of the state-of-the-art research on this topic is summarised. In order to verify software using conditions that are similar to real ones, the power available at the 868 MHZ ISM band, which is close to the LTE bands used for telecommunications, is calculated. The results obtained using different software are close to being identical for all tested simulation environments.

Suggested Citation

  • Jakub Szut & Paweł Piątek & Mariusz Pauluk, 2024. "RF Energy Harvesting," Energies, MDPI, vol. 17(5), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1204-:d:1350383
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    References listed on IDEAS

    as
    1. Ezekiel Darlington Nwalike & Khalifa Aliyu Ibrahim & Fergus Crawley & Qing Qin & Patrick Luk & Zhenhua Luo, 2023. "Harnessing Energy for Wearables: A Review of Radio Frequency Energy Harvesting Technologies," Energies, MDPI, vol. 16(15), pages 1-26, July.
    2. Bogdan Dziadak & Łukasz Makowski & Mariusz Kucharek & Adam Jóśko, 2023. "Energy Harvesting for Wearable Sensors and Body Area Network Nodes," Energies, MDPI, vol. 16(4), pages 1-30, February.
    Full references (including those not matched with items on IDEAS)

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