Next Article in Journal
Performance Analysis of Diversity-Controlled Multi-User Superposition Transmission for 5G Wireless Networks
Previous Article in Journal
Achieving Crossed Strong Barrier Coverage in Wireless Sensor Network
Previous Article in Special Issue
RESTOP: Retaining External Peripheral State in Intermittently-Powered Sensor Systems
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(2), 535; https://doi.org/10.3390/s18020535

Flow Control in Wells Turbines for Harnessing Maximum Wave Power

1
Automatic Control Group (ACG), Institute of Research and Development of Processes, Faculty of Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
2
Promotion and Subsidies Area, Basque Energy Agency (EVE), Urkixo Zumarkalea, 36, 48011 Bilbao, Spain
3
Advanced Design and Analysis (ADA), IDOM Consulting, Engineering and Architecture, 48015 Bilbao, Spain
*
Author to whom correspondence should be addressed.
Received: 29 December 2017 / Revised: 31 January 2018 / Accepted: 7 February 2018 / Published: 10 February 2018
(This article belongs to the Special Issue Low Power Embedded Sensing: Hardware-Software Design and Applications)
View Full-Text   |   Download PDF [4764 KB, uploaded 10 February 2018]   |  

Abstract

Oceans, and particularly waves, offer a huge potential for energy harnessing all over the world. Nevertheless, the performance of current energy converters does not yet allow us to use the wave energy efficiently. However, new control techniques can improve the efficiency of energy converters. In this sense, the plant sensors play a key role within the control scheme, as necessary tools for parameter measuring and monitoring that are then used as control input variables to the feedback loop. Therefore, the aim of this work is to manage the rotational speed control loop in order to optimize the output power. With the help of outward looking sensors, a Maximum Power Point Tracking (MPPT) technique is employed to maximize the system efficiency. Then, the control decisions are based on the pressure drop measured by pressure sensors located along the turbine. A complete wave-to-wire model is developed so as to validate the performance of the proposed control method. For this purpose, a novel sensor-based flow controller is implemented based on the different measured signals. Thus, the performance of the proposed controller has been analyzed and compared with a case of uncontrolled plant. The simulations demonstrate that the flow control-based MPPT strategy is able to increase the output power, and they confirm both the viability and goodness. View Full-Text
Keywords: wave energy; sensing applications; power management; energy harvesting; Wells turbines; Mutriku power plant wave energy; sensing applications; power management; energy harvesting; Wells turbines; Mutriku power plant
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Lekube, J.; Garrido, A.J.; Garrido, I.; Otaola, E.; Maseda, J. Flow Control in Wells Turbines for Harnessing Maximum Wave Power. Sensors 2018, 18, 535.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top