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 radar for improved operation 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 offshore operations. Project period: October 1 st 2017 – September 31 st 2019 More information: www.morapro.eu 3
Par artn tners A Norwegian SME with more than 30 years TRIAD is the project lead and experience in research, development and brings in competence on radar Triad testing of remote sensor technology for system design and maritime radar maritime applications. data processing 1.TRIAD . A Danish SME with an unique, patented floating 2.Floating Po Floating Power Plant is developing Floating Power wind and wave co-generation device. Their operational control algorithms Plant floating power plant has already delivered based on the sensor output data. power to the commercial grid. A Norwegian Research institute with core Uni Research Uni Research Polytec is in charge expertise in operative met-ocean forecasting Polytec of wave modelling and forecasting. and wave modelling. 4
Floating P g Power er Plant nt 1.TRIAD . 2.Floating Po 5
Company information Radar Technology Oil and Energy Security = 5 • Electromagnetic • Target recognition and acoustic • Smart MMW sensors methods • Multi-Phase Maritime • Multi-Frequency • Maritime target recognition methods • Oil spill • Wave characterization Established 1986 Defense • Target recognition for air sea Stavanger land systems Oslo Atmospheric sensing / Meteorology 3D wind radar sensors Air traffic safety • Turbulence sensor • Wake Vortex detecion SARFA 6
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
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
MORA building blocks to be integrated and tested Met Ocean forecast data Far range radar image Short range radar image End user models Wave propagation model Bottom to wave interaction model Bathymetry data 9
Sensor integration Near range radar Far range radar Data : Sea surface spectrum Data : Deterministic image INTEGRAITON WITH MODEL END USER
le Virtual Wave B Buoy Realis lisatio ion e example “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 of the art online data on single waves 11
Example les of of en end user ser mod odels ls - Platform motion models - WTG control models - Platform load model - EIA data and models - WEC power production models - O&M planning models - WEC forecasting models - Offshore operation support models - WEC control models - Installation models 12
End user benefits # Data points: 1 - n End user specific H S H Peak T p Parameters models examples Wave Dir Wave Speed End user benefits examples - WEC power production models - Increased power production - WEC forecasting Timeseries models - Production forecasting - WEC control models Spectra - WTG control - Cheaper, safer and better O&M models - Platform motion - Motion and load models control/prediction - Platform load model - Improved monitoring and - EIA data and Deterministic models better use of weather windows live data image - O&M planning Met-ocean input: models - Sea state change warning - Offshore operation Surface support models - Route planning - Installation models elevation - Etc. 13
Timel eline ne 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 14
Contact information Contact info morapro.eu project@morapro.eu 15
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