SeaSmart A new approach for rapid, on-site resource assessment at potential tidal stream energy array sites using MAS Marine Solutions for the Deep Data World Jonathan Evans Presentation Outline Marine Energy Resource Surveys The Problem SeaSmart::Survey Rapid mobile observations, plus automated processing and reporting Case Study: Tidal Stream Survey, Sound of Islay
Marine Energy Resource Survey: The Problem Marine Energy companies commissioning site assessments, undertake: On-Site Survey: Sensors mounted on fixed-point or ship-based Compromise between temporal & spatial coverage Data Collation, Management & Modelling Weaknesses: Costs of sensor deployment & monitoring (manually) Costs and risks of managing the data (manually) Ocean is always under-sampled (can never do enough) Consequences: Critical financial & technical decisions on poor data Energy projects carry high-levels of risk & uncertainty
Serial Ethernet Survey Progression Network Switch SeaSmart::Survey Innovation: Automates data acquisition & management processes Reduces manual processes to improve quality & cost Initial Data Processing (online) Internet (cloud) SeaSmart Server Smart Payload Multi-sensor SeaSmart / multi-vendor payload suitable Host USV for Power Supply Power deployment Payload on vessel of opportunity Could include hosting on unmanned vehicles, Secure Data PC Storage or conventional survey vessel Host USV Data Rapid / reliable / consistent SeaSmart Modules Operator Survey Data (raw) Shore Comms geo-db Web Services Client PC Client PC Smart Data Sensor Data Automated acquisition, continuous quality checks, secure data storage & management Facilitates in-stride data delivery Responsive to clients for survey extensions Sensors SeaSmart Sensors USV Host USV Control Comms to Shore
Marine Autonomous Systems: Example AUVs and ASVs Tidal Survey plays to the strength of Autonomous Vehicles: Accurate, repeatable trajectories Cyclic missions Simultaneous, multiple sensors Logistics well suited to coastal locations
Existing Methodology Simulation studies, with assumptions Single-point, static ADCP deployment, typically 35+ days ADCP observations are used to verify the simulation, but generally only at those points IEC/TS 62600-201:2015: Part 201: Tidal energy resource assessment and characterization Stage 1: Feasibility study Stage 2: Layout design study 6.3.4 Tidal current mobile survey 6.3.5 Tidal current stationary survey
Equipment Team Sound and of Islay, North Channel C-CAT3 ASV: Length: 3.02m; Beam: 1.55m; Draft: 0.4 0.7m (payload dependent); Max speed: 8 knots (4.1 m/s); Mass: 270kg 340kg SeaSmart Payload Sonardyne SYRINX ADCP (600 khz); SPRINT INS Oceaneering C-Nav 3050 GNSS Receiver
Autonomous Data Tidal Background Tidal Stream, TemporalMissions Coverage Approach: TheSpatial DataAcquisitions Pipeline Generate initial tidal stream forecast model Plan campaign of field observations Tidal height predictions for the site were obtained from the UKHO for the period 1st Jan 2018 to 31st Dec 2018 at 10 minute intervals Collection of observations, including on-site processing A sample of this data is shown here with the Calibrate / update model using observations Generate annual tidal stream predictions dates when the survey was performed highlighted (grey). Produce annual power production forecast Survey targets an arbitrary Neep Spring cycle Missions are planned to cover various portions of the tidal cycle over the different days
Tidal Stream Power Production ModelForecasts Estimates Calibration / Validation Vertical Sheering Profiling Mean Yearly, Depth-Averaged Velocity Produced for arbitrary turbine power specification
Final Model Output: Sound of Islay Full 2D (depth-averaged) model Separate vertical profile model available Encompasses all of channel between the islands Can be sampled across specific regions and time periods Can feed directly into the developer economic models
Other Marine Survey Applications Aquaculture Pre-Construction Power Cable Routes Offshore Wind Seabed Scour & Jacket jonathan.evans@marynsol.com
SeaSmart A new approach for rapid, on-site resource assessment at potential tidal stream energy array sites using MAS Marine Solutions for the Deep Data World Jonathan Evans Presentation Outline Marine Energy Resource Surveys The Problem SeaSmart::Survey Rapid mobile observations, plus automated processing and reporting Case Study: Tidal Stream Survey, Sound of Islay