ENERGY Japan: Steps towards market maturity and cost reduction All-Energy 2016 Magnus Ebbesen 05 May 2016 Ungraded 1 DNV GL © 2016 05 May 2016 SAFER, SMARTER, GREENER Japan – before and after Fukushima… Ungraded 2 DNV GL © 2016 05 May 2016 Drivers for floating wind in Japan High electricity prices – attractive feed-in tariff Generation & transmission capacity challenges Very strong maritime tradition Goals for wind power installed capacity (Japanese Wind Power Association, 2014) Water depths between 100 – 500 meters, within 50 km from shore is indicated by the yellow areas (DNV GL) Ungraded 3 DNV GL © 2016 05 May 2016 Japan is developing floating wind power Ongoing floating wind projects in Japan Source: METI/Maine Consulting Ungraded 4 DNV GL © 2016 05 May 2016 Cost reduction potential - Three scenarios used as a basis for the study Base case 2020 scenario 2030 scenario First-of-a-kind (FOAK) First-of-a-kind (FOAK) Nth-of-a-kind (NOAK) FID 2015 FID 2020 FID 2030 600 MW Same geographical location and size as the base case Same geographical location and size as the FOAK case Based on current technology and market conditions No large scale floating wind installed, draws on cost reduction in the time from 2015 to 2020 Cumulative installed floating wind capacity globally 20 GW (indicates expected learning effect) Ungraded DNV GL © 2016 05 May 2016 Cost reduction potential – 31 % reduction to 2020 Increased rated power 8,7 % Shared anchor points 4,9 % Lifetime Extension 3,1 % Optimized major replacement 3,0 % Enhanced control systems for WTG 2,2 % Improved drive train concept for the WTG 2,2 % Optimised blade aerodynamics design 1,9 % Remote insp./presence and maint. and improved cond. monitoring 1,8 % Nacelle mounted LiDAR 1,0 % 0,8 % Increased competition Co-locating Substation on extended wind turbine platform 0,6 % Blade mass reduction e.g. other materials 0,6 % 6 Downwind turbines and two-bladed systems 0,3 % Optimising options for anchoring with given site conditions 0,2 % Optimised installation method 0,2 % DNV GL © 2016 18 % 20 % -3 % -18 % 31 % 0,1 % 0,0 % 05 May 2016 LCOE 0,3 % Optimize support structure for floating substation Ungraded YIELD 0,4 % Overplanting of the wind farm Appropriate rating of cables and transformers DECEX • The cost reduction opportunities will contribute to an overall cost reduction of 31% for the base case 1,5 % Improved wake effect model OPEX • 20 opportunities are belived to contribute to cost reduction until FID 2020 2,0 % Optimize support structure design CAPEX 2,0 % 4,0 % 6,0 % 8,0 % 10,0 % Cost reduction potential – additional 24% reduction to 2030 FID 2030 – 9% Learning effect, based on previous reports and past experience – Estimated future market growth – Supply of WTG and electric infrastructure (Offshore Wind) -> 30 GW to 100 GW between 2020 and 2030 – Supply of substructure and installation (Floating wind) -> ~1 GW to 20 GW between 2020 and 2030 Ungraded 7 Floating wind scenarios, as part of offshore cumulative capacity, Source: DNV GL DNV GL © 2016 05 May 2016 Cost reduction potential - 55% reduction in LCOE towards 2030 LCOE reduction 2015 – 2030 TECHNOLOGY IMPROVEMENTS LCOE, cost index in % 100 % MARKET GROWTH 55 % 2015 2020 Ungraded 8 DNV GL © 2016 05 May 2016 2025 2030 DNV GL vision 2050 Ungraded 9 DNV GL © 2016 05 May 2016 Magnus Ebbesen [email protected] +47 41630570 www.dnvgl.com SAFER, SMARTER, GREENER Ungraded 10 DNV GL © 2016 05 May 2016 Floating wind turbines – the three technology types SPAR SemiSubmersible Ungraded DNV GL © 2016 05 May 2016 11 TLP Different cost driver for the different concepts Ungraded 12 DNV GL © 2016 05 May 2016
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