•12/16/2008 Ocean Energy: Scoping the Resource Renewable Resources Group CB, GD, MH, KL, IM, CM, SN, NQ, MW Solving the climate problem for the next 50 years with current technologies Pacala and Socolow, Science, 305, 968-971, (2004) 7 wedges •1 •12/16/2008 Choose 7 of 15 wedges distributed over, for example: • energy efficiency and conservation • more efficient forest and land use • injecting CO2 in the subsurface • renewable energy and fuels ‘EU leaders claim historic agreement on cutting pollution’ Guardian, 13th Dec 2008 ‘Triple 20 deal’ • 20% reduction of 1990-level of greenhouse gases by 2020 • 20% reduction in energy consumption by same deadline • 20% EU energy mix from renewables •2 •12/16/2008 ‘Delivering a Sustainable Energy Future for Ireland : 2007-2020’ By 2020, Government aims for: 20% savings in energy demand compared to 2007 demand across all sectors with a target of ~30% to surpass EU ambition 33% electricity generation from renewables, including 500 MW from wave and tidal stream energy Mostly from wind Electricity generators ‘ESB plans to spend €22bn on network and plants’ Irish Times, 28th March 2008 By 2020, ESB intends to deliver 33% of electricity from wind with 6GW onshore and 8GW offshore EU Supergrid to integrate generation and distribution for grid stability •3 •12/16/2008 Wind energy research R & D focus on large wind turbines for deployment offshore Grid connectivity Smart grids Storage of energy in batteries Ocean energy Pelamis wave energy converter (European Marine Energy Centre, Orkney) Marine Current Turbine tidal stream converter (Strangford Lough) •4 •12/16/2008 Preliminary assessments of ocean energy resource Viable tidal stream SEI, 2007 Accessible wave Renewable Resources Group and Ocean Energy • Detailed accessible resource assessment (tidal stream, wave) • Site bathymetry, geotechnical conditions, environmental impact (tidal stream, wave, wind foundations & cabling) • Local grid connectivity • Maritime infrastructure for maintenance/assembly • Sea space conflicts • Legislative and socio-economic drivers Direct observations (waves, currents, bathymetry, seabed type) and modelling vital for accurate viable resource assessment to encourage commercial device deployment •5 •12/16/2008 Predicting wave fields Predictive Irish Sea Models (www.prism.ie) Swan M2 Buoy 6 S i g n i fi c a n t H e i g h t (m ) 5 4 3 2 1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Time (Days) Site Characterisation • Accurate siting and current prediction require accurate bathymetry • Cable-laying requires accurate bathymetry and preferably soft sediments • Strong capability in swath bathymetry mapping and interpretation, acoustic current measurements for subsequent model validation •6 •12/16/2008 Site Characterisation Highresolution bathymetry to help siting of in-stream tidal energy devices Proposed tidal stream array field Prototype site Modelling & observational oceanography Strong capability in acquiring current data to drive subsequent modelling Modelling to set boundary conditions for localised models Modelling of local accelerated currents in Galway Bay •7 •12/16/2008 Modelling flow & power for tidal turbines Seabed Geotechnical Assessment • Seabed type affects foundation design and installation method • Expertise in geotechnical quantification Acoustic echoes contain information on sediment properties in each layer Water 1st layer 2nd layer •8 •12/16/2008 Seabed Geotechnical Assessment • Seismic data for geotechnical properties • Parameters for strain modelling of monopile installations and assessment of cable laying routes • Calibration with ROV based video and sediment physical sampling Geotechnical modelling of monopile (Danish Geotechnical Institute) Seabed Geotechnical Assessment Backscatter and bathymetry • Surficial geology possible through innovative processing of multibeam data • Calibration with ROVbased video and sediment physical sampling •9 •12/16/2008 Sediment Transport Hazards • Mobile sand can be hazardous for seafloor cabling and stress loading on device installations • Need to monitor sand mobility with repeated surveys to develop local predictive models colin.brown@nuigalway.ie garret.duffy@nuigalway.ie michael.hartnett@nuigalway.ie Example 6 repeated multibeam surveys over six-month period “The difference between stumbling blocks and stepping stones is how you use them” •10