Offshore Wind Farm in the Southeast Aegean Sea and Energy Security
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Zhao, Yongning & Ye, Lin & Li, Zhi & Song, Xuri & Lang, Yansheng & Su, Jian, 2016. "A novel bidirectional mechanism based on time series model for wind power forecasting," Applied Energy, Elsevier, vol. 177(C), pages 793-803.
- Adelaja, Adesoji & McKeown, Charles & Calnin, Benjamin & Hailu, Yohannes, 2012. "Assessing offshore wind potential," Energy Policy, Elsevier, vol. 42(C), pages 191-200.
- Kaldellis, J.K. & Apostolou, D., 2017. "Life cycle energy and carbon footprint of offshore wind energy. Comparison with onshore counterpart," Renewable Energy, Elsevier, vol. 108(C), pages 72-84.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Sabina Kordana-Obuch & Michał Wojtoń & Mariusz Starzec & Beata Piotrowska, 2023. "Opportunities and Challenges for Research on Heat Recovery from Wastewater: Bibliometric and Strategic Analyses," Energies, MDPI, vol. 16(17), pages 1-36, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Escobar, A. & Negro, V. & López-Gutiérrez, J.S. & Esteban, M.D., 2019. "Assessment of the influence of the acceleration field on scour phenomenon in offshore wind farms," Renewable Energy, Elsevier, vol. 136(C), pages 1036-1043.
- Judge, Frances & McAuliffe, Fiona Devoy & Sperstad, Iver Bakken & Chester, Rachel & Flannery, Brian & Lynch, Katie & Murphy, Jimmy, 2019. "A lifecycle financial analysis model for offshore wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 370-383.
- Francisco Haces-Fernandez, 2020. "GoWInD: Wind Energy Spatiotemporal Assessment and Characterization of End-of-Life Activities," Energies, MDPI, vol. 13(22), pages 1-20, November.
- Yang, Mao & Wang, Da & Xu, Chuanyu & Dai, Bozhi & Ma, Miaomiao & Su, Xin, 2023. "Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting," Renewable Energy, Elsevier, vol. 211(C), pages 582-594.
- Li, Jinying & Li, Sisi & Wu, Fan, 2020. "Research on carbon emission reduction benefit of wind power project based on life cycle assessment theory," Renewable Energy, Elsevier, vol. 155(C), pages 456-468.
- Wang, Kejun & Qi, Xiaoxia & Liu, Hongda & Song, Jiakang, 2018. "Deep belief network based k-means cluster approach for short-term wind power forecasting," Energy, Elsevier, vol. 165(PA), pages 840-852.
- Sultan Salem & Noman Arshed & Ahsan Anwar & Mubasher Iqbal & Nyla Sattar, 2021. "Renewable Energy Consumption and Carbon Emissions—Testing Nonlinearity for Highly Carbon Emitting Countries," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
- Jessica Kersey & Natalie D. Popovich & Amol A. Phadke, 2022. "Rapid battery cost declines accelerate the prospects of all-electric interregional container shipping," Nature Energy, Nature, vol. 7(7), pages 664-674, July.
- Dhunny, A.Z. & Timmons, D.S. & Allam, Z. & Lollchund, M.R. & Cunden, T.S.M., 2020. "An economic assessment of near-shore wind farm development using a weather research forecast-based genetic algorithm model," Energy, Elsevier, vol. 201(C).
- Lv, Yunlong & Hu, Qin & Xu, Hang & Lin, Huiyao & Wu, Yufan, 2024. "An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model," Energy, Elsevier, vol. 293(C).
- Wu, Zhuochun & Xiao, Liye, 2019. "A structure with density-weighted active learning-based model selection strategy and meteorological analysis for wind speed vector deterministic and probabilistic forecasting," Energy, Elsevier, vol. 183(C), pages 1178-1194.
- Meng, Anbo & Zhu, Zibin & Deng, Weisi & Ou, Zuhong & Lin, Shan & Wang, Chenen & Xu, Xuancong & Wang, Xiaolin & Yin, Hao & Luo, Jianqiang, 2022. "A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine," Energy, Elsevier, vol. 260(C).
- Xiao, Yulong & Zou, Chongzhe & Chi, Hetian & Fang, Rengcun, 2023. "Boosted GRU model for short-term forecasting of wind power with feature-weighted principal component analysis," Energy, Elsevier, vol. 267(C).
- Francisco Haces-Fernandez, 2021. "Higher Wind: Highlighted Expansion Opportunities to Repower Wind Energy," Energies, MDPI, vol. 14(22), pages 1-19, November.
- Wang, Jianzhou & Du, Pei & Niu, Tong & Yang, Wendong, 2017. "A novel hybrid system based on a new proposed algorithm—Multi-Objective Whale Optimization Algorithm for wind speed forecasting," Applied Energy, Elsevier, vol. 208(C), pages 344-360.
- Waewsak, Jompob & Landry, Mathieu & Gagnon, Yves, 2015. "Offshore wind power potential of the Gulf of Thailand," Renewable Energy, Elsevier, vol. 81(C), pages 609-626.
- Jin, Jingxin & Li, Yilin & Ye, Lin & Xu, Xunjian & Lu, Jiazheng, 2023. "Integration of atmospheric stability in wind resource assessment through multi-scale coupling method," Applied Energy, Elsevier, vol. 348(C).
- Clemente, D. & Rosa-Santos, P. & Taveira-Pinto, F., 2021. "On the potential synergies and applications of wave energy converters: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
- Pennock, Shona & Vanegas-Cantarero, María M. & Bloise-Thomaz, Tianna & Jeffrey, Henry & Dickson, Matthew J., 2022. "Life cycle assessment of a point-absorber wave energy array," Renewable Energy, Elsevier, vol. 190(C), pages 1078-1088.
- Shahriari, M. & Cervone, G. & Clemente-Harding, L. & Delle Monache, L., 2020. "Using the analog ensemble method as a proxy measurement for wind power predictability," Renewable Energy, Elsevier, vol. 146(C), pages 789-801.
More about this item
Keywords
offshore wind farm; offshore wind turbine; economic analysis; storage; Greece; Karpathos; Kassos; energy security; European green deal; European Union;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5208-:d:1188394. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.