MORA project
Presentation at NORCOWE April 5 th 2018
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MORA project Presentation at NORCOWE April 5 th 2018 1 Presentation - - PowerPoint PPT Presentation
MORA project Presentation at NORCOWE April 5 th 2018 1 Presentation overview MORA Projects and partners Company information Triad Wave radar technologies Wave prediction project (MORA) End user benefits Project timeline Model interfaced
Presentation at NORCOWE April 5 th 2018
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MORA Projects and partners Company information Triad Wave radar technologies Wave prediction project (MORA) End user benefits Project timeline
Overall goals of project
Project period: October 1st 2017 – September 31st 2019 More information: www.morapro.eu
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1.TRIAD . 2.Floating Po
Triad A Norwegian SME with more than 30 years experience in research, development and testing of remote sensor technology for maritime applications. TRIAD is the project lead and brings in competence on radar system design and maritime radar data processing Floating Power Plant A Danish SME with an unique, patented floating wind and wave co-generation device. Their floating power plant has already delivered power to the commercial grid. Floating Power Plant is developing
based on the sensor output data. Uni Research Polytec A Norwegian Research institute with core expertise in operative met-ocean forecasting and wave modelling. Uni Research Polytec is in charge
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1.TRIAD . 2.Floating Po
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Radar Technology
Security
Maritime
Defense
land systems
Oil and Energy
and acoustic methods
methods
Atmospheric sensing / Meteorology
3D wind radar sensors Air traffic safety
Stavanger Oslo Established 1986 SARFA
Robus ust p produc ducts w with l h long t track r record However underperformance due to
to be integrated and tested
Bathymetry data Met Ocean forecast data Wave propagation model Bottom to wave interaction model
Short range radar image Far range radar image End user models
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Far range radar
Data : Sea surface spectrum
Near range radar
Data : Deterministic image INTEGRAITON WITH MODEL
END USER
Realis lisatio ion e example le Virtual Wave B
“A data point anywhere”
Feeding continuous streams of standard data on
direction
“in real time” in standard industry format And feeding streams of state
waves
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models
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Parameters Timeseries Spectra Deterministic live data image Surface elevation # Data points: 1 - n End user benefits examples
control/prediction
better use of weather windows
HS HPeak Tp WaveDir WaveSpeed Met-ocean input:
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End user specific models examples
production models
models
models
models
models
model
models
models
support models
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August/September 2018.
morapro.eu
Contact info project@morapro.eu
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