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A High-Efficiency Wind Energy Harvester for Autonomous Embedded Systems

Energy harvesting is currently a hot research topic, mainly as a consequence of the increasing attractiveness of computing and sensing solutions based on small, low-power distributed embedded systems. Harvesting may enable systems to operate in a deploy-and-forget mode, particularly when power grid...

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Detalles Bibliográficos
Autor principal: Brunelli, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813902/
https://www.ncbi.nlm.nih.gov/pubmed/26959018
http://dx.doi.org/10.3390/s16030327
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author Brunelli, Davide
author_facet Brunelli, Davide
author_sort Brunelli, Davide
collection PubMed
description Energy harvesting is currently a hot research topic, mainly as a consequence of the increasing attractiveness of computing and sensing solutions based on small, low-power distributed embedded systems. Harvesting may enable systems to operate in a deploy-and-forget mode, particularly when power grid is absent and the use of rechargeable batteries is unattractive due to their limited lifetime and maintenance requirements. This paper focuses on wind flow as an energy source feasible to meet the energy needs of a small autonomous embedded system. In particular the contribution is on the electrical converter and system integration. We characterize the micro-wind turbine, we define a detailed model of its behaviour, and then we focused on a highly efficient circuit to convert wind energy into electrical energy. The optimized design features an overall volume smaller than 64 cm [Formula: see text]. The core of the harvester is a high efficiency buck-boost converter which performs an optimal power point tracking. Experimental results show that the wind generator boosts efficiency over a wide range of operating conditions.
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spelling pubmed-48139022016-04-06 A High-Efficiency Wind Energy Harvester for Autonomous Embedded Systems Brunelli, Davide Sensors (Basel) Article Energy harvesting is currently a hot research topic, mainly as a consequence of the increasing attractiveness of computing and sensing solutions based on small, low-power distributed embedded systems. Harvesting may enable systems to operate in a deploy-and-forget mode, particularly when power grid is absent and the use of rechargeable batteries is unattractive due to their limited lifetime and maintenance requirements. This paper focuses on wind flow as an energy source feasible to meet the energy needs of a small autonomous embedded system. In particular the contribution is on the electrical converter and system integration. We characterize the micro-wind turbine, we define a detailed model of its behaviour, and then we focused on a highly efficient circuit to convert wind energy into electrical energy. The optimized design features an overall volume smaller than 64 cm [Formula: see text]. The core of the harvester is a high efficiency buck-boost converter which performs an optimal power point tracking. Experimental results show that the wind generator boosts efficiency over a wide range of operating conditions. MDPI 2016-03-04 /pmc/articles/PMC4813902/ /pubmed/26959018 http://dx.doi.org/10.3390/s16030327 Text en © 2016 by the author; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Brunelli, Davide
A High-Efficiency Wind Energy Harvester for Autonomous Embedded Systems
title A High-Efficiency Wind Energy Harvester for Autonomous Embedded Systems
title_full A High-Efficiency Wind Energy Harvester for Autonomous Embedded Systems
title_fullStr A High-Efficiency Wind Energy Harvester for Autonomous Embedded Systems
title_full_unstemmed A High-Efficiency Wind Energy Harvester for Autonomous Embedded Systems
title_short A High-Efficiency Wind Energy Harvester for Autonomous Embedded Systems
title_sort high-efficiency wind energy harvester for autonomous embedded systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813902/
https://www.ncbi.nlm.nih.gov/pubmed/26959018
http://dx.doi.org/10.3390/s16030327
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