Modeling and Optimization of a Solar Energy Harvester System for Self-Powered Wireless Sensor Networks

By D. Dondi, A. Bertacchini, Davide Brunelli, Luca Larcher, Luca Benini. IEEE transactions on industrial electronics (1982. Print), 2008

371 citations recorded by the source corpus.

In this paper, we propose a methodology for optimizing a solar harvester with maximum power point tracking for self-powered wireless sensor network (WSN) nodes. We focus on maximizing the harvester's efficiency in transferring energy from the solar panel to the energy storing device. A photovoltaic panel analytical model, based on a simplified parameter extraction procedure, is adopted. This model predicts the instantaneous power collected by the panel helping the harvester design and optimization procedure. Moreover, a detailed modeling of the harvester is proposed to understand basic harvester behavior and optimize the circuit. Experimental results based on the presented design guidelines demonstrate the effectiveness of the adopted methodology. This design procedure helps in boosting efficiency, allowing to reach a maximum efficiency of 85% with discrete components. The application field of this circuit is not limited to self-powered WSN nodes; it can easily be extended in embedded portable applications to extend the battery life.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/1063a861f7d922fe534bc8816bac1e9d22f1f77f

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In Electrical and Electronic Engineering

  1. Wendi Rabiner Heinzelman
  2. Mohamed F. Younis
  3. Xuxun Liu
  4. Deborah Estrin
  5. Limin Wang

In Mechanical Engineering

  1. Kofi Sarpong Adu-Manu
  2. Wendi Rabiner Heinzelman
  3. Cristiano Tapparello
  4. Hoda Ayatollahi
  5. Nadir H. Adam

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