Energy harvesting from hydroelectric systems for remote sensors

Joaquim Azevedo; Jorge Lopes

doi:10.3934/energy.2016.6.876

AIMS Energy, 2016, 4(6): 876-893. doi: 10.3934/energy.2016.6.876. Research article Topical Section

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Energy harvesting from hydroelectric systems for remote sensors

Joaquim Azevedo, Jorge Lopes

Faculty of Exact Science and Engineering, University of Madeira, Funchal, Portugal

Received: , Accepted: , Published:

Topical Section: Energy Harvest and Storage

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Hydroelectric systems are well-known for large scale power generation. However, there are virtually no studies on energy harvesting with these systems to produce tens or hundreds of milliwatts. The goal of this work was to study which design parameters from large-scale systems can be applied to small-scale systems. Two types of hydro turbines were evaluated. The first one was a Pelton turbine which is suitable for high heads and low flow rates. The second one was a propeller turbine used for low heads and high flow rates. Several turbine geometries and nozzle diameters were tested for the Pelton system. For the propeller, a three-bladed turbine was tested for different heads and draft tubes. The mechanical power provided by these turbines was measured to evaluate the range of efficiencies of these systems. A small three-phase generator was developed for coupling with the turbines in order to evaluate the generated electric power. Selected turbines were used to test battery charging with hydroelectric systems and a comparison between several efficiencies of the systems was made.

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Keywords: Energy harvesting; hydroelectric power generation; experimental results; mechanical power

Citation: Joaquim Azevedo, Jorge Lopes. Energy harvesting from hydroelectric systems for remote sensors. AIMS Energy, 2016, 4(6): 876-893. doi: 10.3934/energy.2016.6.876

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This article has been cited by:

1. Maryam Hamlehdar, Alibakhsh Kasaeian, Mohammad Reza Safaei, Energy Harvesting from Fluid Flow using Piezoelectrics: A Critical Review, Renewable Energy, 2019, 10.1016/j.renene.2019.05.078

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Copyright Info: 2016, Joaquim Azevedo, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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