MORA project Presentation at NORCOWE April 5 th 2018 1 Presentation - - PowerPoint PPT Presentation

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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


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MORA project

Presentation at NORCOWE April 5 th 2018

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Presentation overview

MORA Projects and partners Company information Triad Wave radar technologies Wave prediction project (MORA) End user benefits Project timeline

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Model interfaced radar for improved

  • peration and control (MORA)

Overall goals of project

  • 1. Increase the revenue of wave energy and offshore wind.
  • 2. Reduce risk and operational expenditure in all sea state limited
  • ffshore operations.

Project period: October 1st 2017 – September 31st 2019 More information: www.morapro.eu

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Par artn tners

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

  • perational control algorithms

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

  • f wave modelling and forecasting.

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Floating P g Power er Plant nt

1.TRIAD . 2.Floating Po

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Company information

Radar Technology

Security

  • Target recognition
  • Smart MMW sensors

Maritime

  • Maritime target recognition
  • Oil spill
  • Wave characterization

Defense

  • Target recognition for air sea

land systems

Oil and Energy

  • Electromagnetic

and acoustic methods

  • Multi-Phase
  • Multi-Frequency

methods

Atmospheric sensing / Meteorology

3D wind radar sensors Air traffic safety

  • Turbulence sensor
  • Wake Vortex detecion

= 5

Stavanger Oslo Established 1986 SARFA

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State of the art – Sea surface wave radar

Robus ust p produc ducts w with l h long t track r record However underperformance due to

  • Generalisation in software algorithms
  • Radar sensor performance/adaptability
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5 steps to improve parameter estimation confidence

  • 1. Increase resolution of radar system
  • 2. Increase update rate
  • 3. Site specific models/processing
  • 4. Better met data input
  • 5. Multiple sensor coverage
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MORA building blocks

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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Sensor integration

Far range radar

Data : Sea surface spectrum

Near range radar

Data : Deterministic image INTEGRAITON WITH MODEL

END USER

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Realis lisatio ion e example le Virtual Wave B

Buoy

“A data point anywhere”

Feeding continuous streams of standard data on

  • Wave heights, periods and

direction

  • Energy content
  • Surface current
  • Spectrums
  • Etc.

“in real time” in standard industry format And feeding streams of state

  • f the art online data on single

waves

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Example les of

  • f en

end user ser mod

  • dels

ls

  • WTG control models
  • EIA data and models
  • O&M planning models
  • Offshore operation support

models

  • Installation models

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  • Platform motion models
  • Platform load model
  • WEC power production models
  • WEC forecasting models
  • WEC control models
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End user benefits

Parameters Timeseries Spectra Deterministic live data image Surface elevation # Data points: 1 - n End user benefits examples

  • Increased power production
  • Production forecasting
  • Cheaper, safer and better O&M
  • Motion and load

control/prediction

  • Improved monitoring and

better use of weather windows

  • Sea state change warning
  • Route planning

HS HPeak Tp WaveDir WaveSpeed Met-ocean input:

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End user specific models examples

  • WEC power

production models

  • WEC forecasting

models

  • WEC control

models

  • WTG control

models

  • Platform motion

models

  • Platform load

model

  • EIA data and

models

  • O&M planning

models

  • Offshore operation

support models

  • Installation models
  • Etc.
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Timel eline ne

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  • 1. System requirements and specifications (Done)
  • 2. Hardware and software development (in progress)
  • 3. Installation at Hywind DEMO – MET Centre in

August/September 2018.

  • 4. Results published at www.morapro.eu in 2019
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Contact information

morapro.eu

Contact info project@morapro.eu

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