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| 001 | 860138 | ||
| 005 | 20240708133137.0 | ||
| 024 | 7 | _ | |a 10.1016/j.apenergy.2019.113794 |2 doi |
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| 100 | 1 | _ | |a Caglayan, Dilara Gülcin |0 P:(DE-Juel1)171337 |b 0 |e Corresponding author |
| 245 | _ | _ | |a The Techno-Economic Potential of Offshore Wind Energy with Optimized Future Turbine Designs in Europe |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2019 |b Elsevier Science |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 520 | _ | _ | |a Renewable energy sources will play a central role in the sustainable energy systems of the future. Scenario analyses of the hypothesized energy systems require sound knowledge of the techno-economic potential of renewable energy technologies. Although there have been various studies concerning the potential of offshore wind energy, higher spatial resolution as well as the future design concepts of offshore wind turbines have not yet been addressed in sufficient detail. This work aims to overcome this gap by applying a high spatial resolution to the three main aspects of offshore wind potential analysis, namely: ocean suitability, the simulation of wind turbines, and cost estimation. A set of constraints is determined that reveal the available areas for turbine placement across Europe’s maritime boundaries. Then, turbine designs specific to each location are selected by identifying turbines with the cheapest levelized cost of electricity, restricted to capacities, hub heights and rotor diameters ranges predicted by industry experts. Ocean eligibility and turbine design are then combined to distribute turbines across the available areas. Finally, levelized cost of electricity trends are calculated from the individual turbine costs, as well as the corresponding capacity factor obtained by hourly simulation with wind speeds from 1980 to 2017. The results of cost-optimal turbine designing reveal that the overall potential for offshore wind energy across Europe will constitute nearly 8.6 TW and 40.0 PWh at roughly 7 €ct kWh−1 average levelized cost of electricity by 2050. Averaged design parameters at national level are provided in an Appendix. |
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| 700 | 1 | _ | |a Ryberg, Severin David |0 P:(DE-Juel1)169156 |b 1 |
| 700 | 1 | _ | |a Heinrichs, Heidi |0 P:(DE-Juel1)145221 |b 2 |
| 700 | 1 | _ | |a Linssen, Jochen |0 P:(DE-Juel1)130470 |b 3 |
| 700 | 1 | _ | |a Stolten, Detlef |0 P:(DE-Juel1)129928 |b 4 |
| 700 | 1 | _ | |a Robinius, Martin |0 P:(DE-Juel1)156460 |b 5 |
| 773 | _ | _ | |a 10.1016/j.apenergy.2019.113794 |g Vol. 255, p. 113794 - |0 PERI:(DE-600)2000772-3 |p 113794 - |t Applied energy |v 255 |y 2019 |x 0306-2619 |
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