Meteorological and Hindcast Data-Based Evaluation of Hybrid Wind–Wave Energy Potential Using WECI for Optimal Site Selection in Oman Sea
気象・後方データに基づくWECIを用いたハイブリッド風力・波力エネルギーポテンシャル評価とオマーン海における最適サイト選定 (AI 翻訳)
Abbaspour M, Imani AF
🤖 gxceed AI 要約
日本語
本研究は、オマーン海沿岸におけるハイブリッド風力・波力エネルギーの実現可能性を評価する。ECMWF ERA5の30年間の再解析データ（1995-2024）を用い、新たな波エネルギー集中指標（WECI）を導入して波の変動性を定量化した。イラン南東部とオマーン東部の4つの有望サイトを特定し、季節変動を分析した。地域のエネルギー多様化と気候レジリエンスに貢献する。
English
This study assesses hybrid wind-wave energy potential along the Oman Sea coast using 30 years of ECMWF ERA5 reanalysis data (1995-2024). It introduces a novel Wave Energy Concentration Index (WECI) to quantify wave energy variability and identifies four promising sites off southeastern Iran and eastern Oman. Seasonal analysis supports integrated offshore energy development, contributing to regional diversification and climate resilience.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では洋上風力発電の導入拡大が進むが、波力発電とのハイブリッドは未成熟。本手法は日本の沿岸域における再生可能エネルギー評価にも応用可能で、SSBJやGX関連の情報開示における再生可能エネルギー導入計画の裏付けとして有用。
In the global GX context
This study provides a methodological framework for hybrid offshore renewable energy assessment that is relevant to global energy transition efforts. The WECI index and site selection approach can inform ISSB-aligned disclosure of renewable energy strategy and support transition finance decisions in emerging markets.
👥 読者別の含意
🔬研究者:Introduces a novel WECI index for wave energy variability, useful for hybrid renewable resource assessment.
🏢実務担当者:Provides a data-driven method for site selection that can support renewable energy project feasibility studies.
🏛政策担当者:Offers evidence for regional energy diversification and climate adaptation planning in maritime zones.
📄 Abstract（原文）
<title>Abstract</title> <p>The intertwined challenges of rising global temperatures and accelerating sea-level rise underscore the urgent need for integrated and sustainable strategies to advance climate adaptation and the global energy transition. This study presents a comprehensive feasibility assessment of hybrid wind–wave energy resources along coastline of the Oman Sea in the Middle Eastern region. The regional wave climate was analyzed using ECMWF ERA5 hindcast data, validated against experimental measurements reported in previous studies. To quantify the temporal distribution and variability of wave energy, a novel Wave Energy Concentration Index (WECI) is introduced, enhancing the accuracy of energy resource evaluation and supporting the development of improved control strategies for hybrid systems. Utilizing three decades of reanalysis data (1995–2024), the study characterizes wave dynamics and identifies four promising candidate sites exhibiting significant hybrid energy potential. These locations, distributed along the southeastern coast of Iran and the eastern coast of Oman, were further analyzed for their seasonal wind and wave variability to assess their suitability for integrated offshore energy development. The findings establish an evidence-based framework for advancing hybrid offshore renewable energy systems in the Middle Eastern maritime domain, contributing to regional energy diversification, sustainability, and climate resilience.</p>
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.21203/rs.3.rs-10335849/v1first seen 2026-08-03 04:31:42
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