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Marine Spatial Planning for Offshore Wind Firms: A Comparison of Global Existing Policies and Data for Energy System Storage

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  • Yun-Sin Chen

    (Department of Marine Environment and Engineering, National Sun Yat-sen University, Kaohsiung City 80424, Taiwan)

  • Cheng-Yu Hu

    (Institute of Ocean Technology and Marine Affairs, National Cheng Kung University, Tainan City 70101, Taiwan)

  • Chun-Yi Li

    (Institute of Ocean Technology and Marine Affairs, National Cheng Kung University, Tainan City 70101, Taiwan)

  • Jia-Bin Lin

    (Institute of Ocean Technology and Marine Affairs, National Cheng Kung University, Tainan City 70101, Taiwan)

  • Yi-Che Shih

    (Institute of Ocean Technology and Marine Affairs, National Cheng Kung University, Tainan City 70101, Taiwan)

Abstract

This study aims to conduct a comparative analysis of existing global policies and data for offshore wind (OW) farms (OWFs) by exploring the performance of the United Kingdom (UK), Germany, China, Taiwan and the rest of the world based on chosen quantitative metrics (total installations, energy capacity, bathymetry, wind resources) and qualitative policy drivers (costs, installation regulations, taxation). This research adopts an explorative multi-case study design that involves analyzing quantitative and qualitative metrics of OW energy parameters for the UK, Germany, China, Taiwan and the rest of the world. The quantitative metrics include the total OW energy installations, bathymetric data, wind speed and direction data and OW energy capacity while the qualitative metrics include the policy changes on costs of installations, installation policies and taxation policies. As compared to the United Kingdom and Germany, China reported the highest number of installed OW energy farms between 2019 and 2023. The UK reported a gradual increase in the number of OWFs installed between 2019 and 2023. Taiwan has the lowest number of OWFs and wind energy capacity but ranks almost the same as China and the UK in terms of the bathymetric data and wind speed. Statistically significant correlation, ( p ≤ 0.05), between the wind speed and the number of OWFs for all the countries. No statistically significant relationship between the bathymetric characteristics and the number of OW installations and wind energy capacity. Geographical factors, weather patterns and government policies play crucial roles in the successful installation and maintenance of OWFs.

Suggested Citation

  • Yun-Sin Chen & Cheng-Yu Hu & Chun-Yi Li & Jia-Bin Lin & Yi-Che Shih, 2025. "Marine Spatial Planning for Offshore Wind Firms: A Comparison of Global Existing Policies and Data for Energy System Storage," Sustainability, MDPI, vol. 17(13), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:5884-:d:1688072
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    1. Cui, Kunpeng & Wang, Chenyu & Liu, Zhenfei & Fu, Deran & Chen, Guo & Li, Wen & Nie, Lei & Shen, Yijun & Xu, Yonghong & Kuang, Rao, 2025. "Efficiency analysis of ocean compressed air energy storage system under constant volume air storage conditions," Energy, Elsevier, vol. 329(C).
    2. Guanying Chen & Zhenming Ji, 2024. "A Review of Solar and Wind Energy Resource Projection Based on the Earth System Model," Sustainability, MDPI, vol. 16(8), pages 1-19, April.
    3. Ke-Sheng Cheng & Cheng-Yu Ho & Jen-Hsin Teng, 2022. "Wind and Sea Breeze Characteristics for the Offshore Wind Farms in the Central Coastal Area of Taiwan," Energies, MDPI, vol. 15(3), pages 1-23, January.
    4. Diebold, Francis X. & Rudebusch, Glenn D., 2022. "Probability assessments of an ice-free Arctic: Comparing statistical and climate model projections," Journal of Econometrics, Elsevier, vol. 231(2), pages 520-534.
    5. Lu, Tianguang & Yi, Xinning & Li, Jing & Wu, Shaocong, 2025. "Collaborative planning of integrated hydrogen energy chain multi-energy systems: A review," Applied Energy, Elsevier, vol. 393(C).
    6. Huey-Shian Chung, 2021. "Taiwan’s Offshore Wind Energy Policy: From Policy Dilemma to Sustainable Development," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
    7. 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).
    8. Chia-Yun Huang & Ting-To Yu & Wei-Min Lin & Kung-Ming Chung & Keh-Chin Chang, 2022. "Energy Sustainability on an Offshore Island: A Case Study in Taiwan," Energies, MDPI, vol. 15(6), pages 1-15, March.
    9. Hosius, Emil & Seebaß, Johann V. & Wacker, Benjamin & Schlüter, Jan Chr., 2023. "The impact of offshore wind energy on Northern European wholesale electricity prices," Applied Energy, Elsevier, vol. 341(C).
    10. Kong, Yun & Wang, Tianyang & Chu, Fulei, 2019. "Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear," Renewable Energy, Elsevier, vol. 132(C), pages 1373-1388.
    11. Wan, Anping & Gong, Wenbin & Iqbal, Atif & AL-Bukhaiti, Khalil & Ji, Yunsong & Duer, Stanislaw & Ma, Shidong & Yao, Faren, 2025. "Robust loop shaping design pitch control of wind turbine for maximal power output and reduced loading," Energy, Elsevier, vol. 319(C).
    12. Armagan Canan, 2023. "Offshore wind energy policy paths: A comparative analysis of Denmark and Germany," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2023(1), pages 35-59.
    13. Ke-Sheng Cheng & Cheng-Yu Ho & Jen-Hsin Teng, 2020. "Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in Taiwan," Energies, MDPI, vol. 13(24), pages 1-21, December.
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