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An estimation of wave energy flux and variability in the Ada Foa region: Towards commissioning of the first commercial wave power farm in Africa - Ghana
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences. (Electricity)ORCID iD: 0000-0002-5205-0961
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences. (Electricity)
Seabased Industry AB.
(English)Article in journal (Refereed) Submitted
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-307237OAI: oai:DiVA.org:uu-307237DiVA: diva2:1045866
Funder
EU, FP7, Seventh Framework Programme, 607656
Available from: 2016-11-11 Created: 2016-11-11 Last updated: 2017-02-08
In thesis
1. Sonar for environmental monitoring of marine renewable energy technologies
Open this publication in new window or tab >>Sonar for environmental monitoring of marine renewable energy technologies
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Human exploration of the hydrosphere is ever increasing as conventional industries grow and new industries emerge. A new emerging and fast-growing industry is the marine renewable energy. The last decades have been characterized by an accentuated development rate of technologies that can convert the energy contained in stream flows, waves, wind and tides. This growth benefits from the fact that human society has become notably aware of the well-being of the environment that we all live in. This brings a human desire to implement technologies which cope better with the natural environment. Yet, this environmental awareness poses difficulties in approving new renewable energy projects such as offshore wind, wave and tidal energy farms. Lessons have been learned that lack of consistent environmental data can become an impasse when consenting permits for testing and deployments marine renewable energy technologies. An example is the European Union in which a majority of the member states requires rigorous environmental monitoring programs to be in place when marine renewable energy technologies are commissioned and decommissioned. To satisfy such high demands and to simultaneously boost the marine renewable sector, long-term environmental monitoring framework that gathers multi-variable data are needed to keep providing data to technology developers, operators as well as to the general public. Technologies based on active acoustics might be the most advanced tools to monitor the subsea environment around marine manmade structures especially in murky and deep waters where divining and conventional technologies are cost.

The main objective of this PhD project has develop and test an active acoustic monitoring system for offshore renewable energy farms, by integrating a multitude of appropriate monitoring sonar, hydrophones and cameras systems to be developed with standards suitable for subsea environmental monitoring. In this project, a first task was to identify, secondly acquire and test sonar systems, then a platform was designed and built, a data acquisition device control systems were developed, finally additional instruments such as video cameras and sonars were added. This systems integration followed by calibration of devices was conducted. The sonar systems were used for quantitative measurements of the occurrence of e.g. large marine animals and schools of fish near marine renewable energy converters. The sonar systems were also used for seabed inspections, depth measurements and capitating flow observations.

So far, the combination of multibeam and dual-beam sonar systems produced good results of target detection, bottom inspection, depth measurements and biomass estimation. The multibeam sonar system was capable of resolving isolated targets located near high acoustic retroreflective objects. Panoramic acoustic images of wave and instream energy converters were acquired using a multibeam sonar operating at frequencies near 1 GHz. The Dual-beam and split-beam sonar systems produced data referent to acoustic background intensity of targets that helps to classify targets according to its size, composition and 3-Dimensional location within the water column. The next phase of this project will deploy the platform for longer periods in order to gather consistent acoustic and optical backscattering data of marine animal behaviour within marine renewable energy farms.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2016. 66 p.
Series
UURIE / Uppsala University, Department of Engineering Sciences, ISSN 0349-8352 ; 350-16L
National Category
Engineering and Technology
Research subject
Engineering Science with specialization in Science of Electricity
Identifiers
urn:nbn:se:uu:diva-314065 (URN)
Presentation
2016-12-15, Ång/10132, The Angstrom Laboratory, Box 534, Uppsala, 16:46 (English)
Opponent
Supervisors
Funder
EU, FP7, Seventh Framework Programme, 607656Carl Tryggers foundation
Available from: 2017-01-31 Created: 2017-01-26 Last updated: 2017-02-08Bibliographically approved

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