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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Main Author: Davide Brunelli
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/3/327
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author Davide Brunelli
author_facet Davide Brunelli
author_sort Davide Brunelli
collection DOAJ
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 cm3. 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 doaj.art-b8f6d7ccdd8d43519b46ddabc7e69cea2022-12-22T04:23:41ZengMDPI AGSensors1424-82202016-03-0116332710.3390/s16030327s16030327A High-Efficiency Wind Energy Harvester for Autonomous Embedded SystemsDavide Brunelli0Department of Industrial Engineering, University of Trento, Via Sommarive 9, Trento I-38123, ItalyEnergy 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 cm3. 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.http://www.mdpi.com/1424-8220/16/3/327energy harvestingmaximum power point trackingmicro wind turbinerenewable energy application
spellingShingle Davide Brunelli
A High-Efficiency Wind Energy Harvester for Autonomous Embedded Systems
Sensors
energy harvesting
maximum power point tracking
micro wind turbine
renewable energy application
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 energy harvesting
maximum power point tracking
micro wind turbine
renewable energy application
url http://www.mdpi.com/1424-8220/16/3/327
work_keys_str_mv AT davidebrunelli ahighefficiencywindenergyharvesterforautonomousembeddedsystems
AT davidebrunelli highefficiencywindenergyharvesterforautonomousembeddedsystems