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Comparing offshore and onshore wind development considering acceptance costs

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  1. Lundin, Erik, 2024. "Wind power and the cost of local compensation schemes: A Swedish revenue sharing policy simulation," Energy Economics, Elsevier, vol. 135(C).
  2. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
  3. Ladenburg, Jacob & Skotte, Maria, 2022. "Heterogeneity in willingness to pay for the location of offshore wind power development: An application of the willingness to pay space model," Energy, Elsevier, vol. 241(C).
  4. Gea-Bermúdez, Juan & Pade, Lise-Lotte & Koivisto, Matti Juhani & Ravn, Hans, 2020. "Optimal generation and transmission development of the North Sea region: Impact of grid architecture and planning horizon," Energy, Elsevier, vol. 191(C).
  5. Lehmann, Paul & Reutter, Felix & Tafarte, Philip, 2021. "Optimal siting of onshore wind turbines: Local disamenities matter," UFZ Discussion Papers 4/2021, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
  6. José Baptista & Beatriz Jesus & Adelaide Cerveira & Eduardo J. Solteiro Pires, 2023. "Offshore Wind Farm Layout Optimisation Considering Wake Effect and Power Losses," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
  7. Anna Dóra Sæþórsdóttir & Margrét Wendt & Edita Tverijonaite, 2021. "Wealth of Wind and Visitors: Tourist Industry Attitudes towards Wind Energy Development in Iceland," Land, MDPI, vol. 10(7), pages 1-19, June.
  8. Attallah, Omneya & Ibrahim, Rania A. & Zakzouk, Nahla E., 2023. "CAD system for inter-turn fault diagnosis of offshore wind turbines via multi-CNNs & feature selection," Renewable Energy, Elsevier, vol. 203(C), pages 870-880.
  9. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
  10. Plaga, Leonie Sara & Lynch, Muireann & Curtis, John & Bertsch, Valentin, 2024. "How public acceptance affects power system development—A cross-country analysis for wind power," Applied Energy, Elsevier, vol. 359(C).
  11. Pablo Zambrana & Javier Fernandez-Quijano & J. Jesus Fernandez-Lozano & Pedro M. Mayorga Rubio & Alfonso J. Garcia-Cerezo, 2021. "Improving the Performance of Controllers for Wind Turbines on Semi-Submersible Offshore Platforms: Fuzzy Supervisor Control," Energies, MDPI, vol. 14(19), pages 1-17, September.
  12. Zilong, Ti & Xiao Wei, Deng, 2022. "Layout optimization of offshore wind farm considering spatially inhomogeneous wave loads," Applied Energy, Elsevier, vol. 306(PA).
  13. Lehmann, Paul & Reutter, Felix & Tafarte, Philip, 2023. "Optimal siting of onshore wind turbines: Local disamenities matter," Resource and Energy Economics, Elsevier, vol. 74(C).
  14. Shen, Wei & Chen, Xi & Qiu, Jing & Hayward, Jennifier A & Sayeef, Saad & Osman, Peter & Meng, Ke & Dong, Zhao Yang, 2020. "A comprehensive review of variable renewable energy levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
  15. Donk, Peter & Sterl, Sebastian & Thiery, Wim & Willems, Patrick, 2021. "REVUB-Light: A parsimonious model to assess power system balancing and flexibility for optimal intermittent renewable energy integration – A study of Suriname," Renewable Energy, Elsevier, vol. 173(C), pages 57-75.
  16. Kamila Pronińska & Krzysztof Księżopolski, 2021. "Baltic Offshore Wind Energy Development—Poland’s Public Policy Tools Analysis and the Geostrategic Implications," Energies, MDPI, vol. 14(16), pages 1-17, August.
  17. Dibaj, Ali & Gao, Zhen & Nejad, Amir R., 2023. "Fault detection of offshore wind turbine drivetrains in different environmental conditions through optimal selection of vibration measurements," Renewable Energy, Elsevier, vol. 203(C), pages 161-176.
  18. Glaum, Philipp & Neumann, Fabian & Brown, Tom, 2024. "Offshore power and hydrogen networks for Europe’s North Sea," Applied Energy, Elsevier, vol. 369(C).
  19. Ladenburg, Jacob & Hevia-Koch, Pablo & Petrović, Stefan & Knapp, Lauren, 2020. "The offshore-onshore conundrum: Preferences for wind energy considering spatial data in Denmark," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
  20. Qiu, Yue & Zhou, Suyang & Wang, Jihua & Chou, Jun & Fang, Yunhui & Pan, Guangsheng & Gu, Wei, 2020. "Feasibility analysis of utilising underground hydrogen storage facilities in integrated energy system: Case studies in China," Applied Energy, Elsevier, vol. 269(C).
  21. Soares-Ramos, Emanuel P.P. & de Oliveira-Assis, Lais & Sarrias-Mena, Raúl & Fernández-Ramírez, Luis M., 2020. "Current status and future trends of offshore wind power in Europe," Energy, Elsevier, vol. 202(C).
  22. J Charles Rajesh Kumar & D Vinod Kumar & D Baskar & B Mary Arunsi & R Jenova & MA Majid, 2021. "Offshore wind energy status, challenges, opportunities, environmental impacts, occupational health, and safety management in India," Energy & Environment, , vol. 32(4), pages 565-603, June.
  23. Rybak, Aurelia & Rybak, Aleksandra & Kolev, Spas D., 2024. "Development of wind energy and access to REE. The case of Poland," Resources Policy, Elsevier, vol. 90(C).
  24. Maassen Maria Alexandra, 2023. "Project Management in the Wind Energy Field. Case Study: Evaluation of Wind Energy Projects through the Net Present Value," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 80-88, July.
  25. Elia, A. & Taylor, M. & Ó Gallachóir, B. & Rogan, F., 2020. "Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers," Energy Policy, Elsevier, vol. 147(C).
  26. Panagiotis Korkos & Jaakko Kleemola & Matti Linjama & Arto Lehtovaara, 2022. "Representation Learning for Detecting the Faults in a Wind Turbine Hydraulic Pitch System Using Deep Learning," Energies, MDPI, vol. 15(24), pages 1-17, December.
  27. Dawid Augustyn & Martin D. Ulriksen & John D. Sørensen, 2021. "Reliability Updating of Offshore Wind Substructures by Use of Digital Twin Information," Energies, MDPI, vol. 14(18), pages 1-23, September.
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