go to top scroll for more

Projects

Projects: Summary of Projects by Region
Projects in Region Scotland involving SeeByte Limited : InnUK/102304/01
Reference Number InnUK/102304/01
Title Autonomous Surface / Sub-surface Survey System
Status Completed
Energy Categories Renewable Energy Sources(Ocean Energy) 25%;
Renewable Energy Sources(Wind Energy) 25%;
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Other oil and gas) 25%;
Fossil Fuels: Oil Gas and Coal(CO2 Capture and Storage, CO2 storage) 25%;
Research Types Applied Research and Development 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%;
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 50%;
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 25%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
Autonomous Surface Vehicles Limited
Award Type Collaborative Research & Development
Funding Source Innovate-UK
Start Date 01 July 2015
End Date 30 June 2018
Duration 36 months
Total Grant Value £714,196
Industrial Sectors
Region South East
Programme Competition Call: 1410_CRD2_TRANS_MAS - Maritime Autonomous Systems. Activity Maritime autonomous systems
 
Investigators Principal Investigator Project Contact , Autonomous Surface Vehicles Limited (37.760%)
  Other Investigator Project Contact , SeeByte Limited (3.892%)
Project Contact , Sonardyne International Limited (31.372%)
Project Contact , NERC (26.976%)
Web Site
Objectives
Abstract

This programme combines unmanned surface vessels (USVs), unmanned underwater vehicles (UUVs) and novel communications technology into an integrated system to provide a means of conducting low-cost shore-based full water column marine surveys. Success will accelerate the wider adoption of unmanned systems and will enable long term, low-cost survey and monitoring operations for offshore energy applications, deep sea mining prospecting and Carbon Capture and Storage (CCS) monitoring. There will also be a consequential reduction in the need to place humans in dangerous environments and greater acceptability of unmanned systems by operators and regulators.

Data

No related datasets

Projects

No related projects

Publications

No related publications

Added to Database 12/01/16