Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
On 9 April at 17:15, we’ll also hold the main poster session and distinguish the 7 best posters of this year’s edition with our traditional Poster Awards Ceremony. Join us at the poster area to cheer and meet the laureates, and enjoy some drinks with all poster presenters!
We look forward to seeing you there!
PO189: Development of a probabilistic LCoE model for offshore wind farms
Lissie de la Torre Castro, Research Associate Offshore Logistics, Fraunhofer Institute for Wind Energy Systems (IWES)
Abstract
ReaLCoE - "Next Generation 14+MW Rated, Robust, Reliable and Large Offshore Wind Energy Converters for Clean, Low Cost and Competitive Electricity" is a Research & Development (R&D) project funded by the European Union within the Horizon 2020 program. The main goal of ReaLCoE is to accelerate the development of a high-performance 14+MW offshore wind energy converter leading to competitive, subsidy-free, and clean wind energy. Furthermore, ReaLCoE aims to achieve an LCoE of €35-50/MWh by 2025 for offshore wind farms, depending on site conditions. Within the scope of the project, a probabilistic levelised cost of electricity (LCoE) model was developed to account for uncertainties in input cost parameters and energy production variables. The approach of the probabilistic cost model is based on Monte Carlo Simulations (MCS) to calculate cost and energy distributions, where variables such as development expenditure (DEVEX), capital expenses (CAPEX), operational expenses (OPEX), decommissioning expenditure (ABEX), and annual energy production (AEP) were considered. The model was built upon the specification of site, technical, and commercial parameters necessary to perform full lifecycle cost and performance assessment. To validate the model a baseline scenario consisting of 6MW wind turbines was used. A probabilistic LCoE was calculated for a 15+MW reference case scenario and compared to the baseline 6MW scenario to demonstrate cost reduction of large upscaling projects. Furthermore, the project evaluated the effect of innovation actions in turbine technology, logistics, testing, operation & maintenance (O&M), Industry 4.0, and business models on the reduction of the LCoE of the wind turbine.
No recording available for this poster.
