Multi-Criteria Assessment Tool for Floating Offshore Wind Power Plants

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Presentation transcript:

Multi-Criteria Assessment Tool for Floating Offshore Wind Power Plants Friday, 16 November 2018 Multi-Criteria Assessment Tool for Floating Offshore Wind Power Plants Presenter: Markus Lerch (IREC) WindEurope Summit 2016 Hamburg, 29 th September 2016 The research has received funding from the European Union Horizon2020 programme under the agreement H2020-LCE-2014-1-640741.

Contents Introduction Methodology FOWAT Tool Conclusions EU H2020 LIFES50+ Project Methodology Multi-Criteria Assessment FOWAT Tool Conclusions 29 September, 2016

Cost Reduction Potential Introduction EU H2020 LIFES50+ Project “Qualification of innovative floating substructures for 10 MW wind turbines and water depths greater than 50 m” Concept Evaluation Multi-Criteria Assessment Cost Reduction Potential 29 September, 2016

Introduction The research has received funding from the European Union Horizon2020 programme under the agreement H2020-LCE-2014-1-640741. 29 September, 2016

Introduction Floating Substructure Concepts 29 September, 2016

Introduction Concept Evaluation Evaluation baseline: Golfe de Fos, France Gulf of Maine, USA West of Barra, Scotland Moderate Medium Severe Met-ocean conditions Met-ocean conditions Met-ocean conditions Evaluation baseline: Complete offshore floating wind farm consisting of 50 turbines (500 MW) 3 selected sites Average performance of the concepts according to different sites 29 September, 2016

Introduction Concept Evaluation Additional evaluation: Golfe de Fos, France Gulf of Maine, USA West of Barra, Scotland Moderate Medium Severe Met-ocean conditions Met-ocean conditions Met-ocean conditions Additional evaluation: 1turbine (10MW) and 5 turbines (50MW) configuration 1 selected site From demonstration to commercialization 29 September, 2016

Methodology Multi-Criteria Assessment Objective Criteria Indicator Friday, 16 November 2018 Methodology Multi-Criteria Assessment Objective Criteria Indicator Ranking Selection of the two best performed concepts Economic LCOE Unit: €/MWh Economic 70 % Global Warming Potential Unit: Kg CO2 equiv. Environmental LCA Primary Energy Unit: MJ equiv. Environmental 10 % Abiotic Depletion Potential Unit: Kg Sb equiv. Risk 20 % Risk Technological Risk Unit: dimensionless Technical KPIs will be considered to verify and check the consistency of the data provided and results obtained Sb = Antimony (Lat. Stibium) 29 September, 2016

FOWAT TOOL 29 September, 2016

FOWAT TOOL Menu 29 September, 2016

FOWAT TOOL 29 September, 2016

FOWAT TOOL Import of Data: 1. Automatically - EXCEL file 2. Manually – Tool 29 September, 2016

FOWAT TOOL Location Definition 29 September, 2016

FOWAT TOOL Wind Farm Definition 29 September, 2016

FOWAT TOOL LCOE Module 29 September, 2016

FOWAT TOOL Energy Production 29 September, 2016

FOWAT TOOL Life Cycle Costs 29 September, 2016

FOWAT TOOL LCOE Result 29 September, 2016

FOWAT TOOL LCOE Uncertainty Evaluation Technological uncertainties Installation costs Wind turbine costs Development costs Etc. External uncertainties Energy production Exchange rates Discount rate 29 September, 2016

FOWAT TOOL LCA Criteria Global Warming Potential (Kg CO2 eq.) Primary Energy Consumption (MJ) Abiotic Depletion Potential (Kg Sb eq.) 29 September, 2016

FOWAT TOOL Technological Risk Cost Availability Health & Safety Environment 29 September, 2016

FOWAT TOOL 29 September, 2016

Conclusions Next steps Friday, 16 November 2018 Conclusions FOWAT enables the performance comparison of multiple floating substructure concepts Multi-criteria assessment based on LCOE, LCA and Risk Uncertainty consideration in cost calculation Different geographical offshore sites can be included Detailed breakdown of life cycle cost and energy losses Flexible tool and customization possible Next steps Lifes50+ concept evaluation in January 2017 Comparative assessment of bottom-fixed and floating offshore wind farms Update to include a wide range of wind farm configurations 29 September, 2016

Thank you for your attention! Vielen Dank für Ihre Aufmerksamkeit! 29 September, 2016