面對全球能源轉型與碳中和目標，離岸風電因具備發電穩定性與產業鏈可擴展性，已成為臺灣能源轉型的核心支柱。臺灣政府自2017年起推動離岸風電政策，規劃至2035年達20.7GW裝置容量，同時希望產業能夠在地化。然而，產業初期高度依賴歐洲技術與外籍人力，本地技術人才培育與知識轉移機制尚未成熟，導致建設與維運過程經常面臨人力瓶頸與技術斷層。
本研究聚焦於臺灣離岸風電在地化進程中所面臨的「技術人力培訓」與「知識轉移」挑戰，歸納出三大痛點：（一）技術實務要求高度熟練，但訓練時程壓縮、實務經驗難以複製，導致過度仰賴國外資源；（二）課程設計與產業需求斷裂，學用落差嚴重；（三）訓練模式與場域安排缺乏彈性，無法因應在職人員或異質背景學習者需求。針對上述問題，本研究運用萃智商業矛盾矩陣與40項教育領域發明原則進行分析，轉化挑戰為契機，並進一步提出OffshoreAI智能學習輔助平台作為先期方案。該平台以AI聊天機器人模組（Zapier Chatbots）為核心，整合教材、技術文件與外部專業資源，透過自然語言互動提供即時回饋與學習引導，驗證「數位化×模組化」策略於人才培育與知識轉移上的可行性。
研究成果不僅回應了現階段的困境，也為產業培育本地人才開啟了新的契機。未來，若能進一步將智慧輔助系統導入實務場域，並持續推動模組化與標準化的訓練機制，將可逐步建構完善的人才晉升體系，強化在地專業能量，並為臺灣離岸風電產業奠定永續發展與國際競爭力的堅實基礎。

Facing global energy transition and carbon neutrality goals, Taiwan has positioned offshore wind power as a key part of its renewable energy strategy, given its stable output and scalable technology. Since 2017, the government has targeted 20.7 GW of installed capacity by 2035 with a strong localization mandate. However, early reliance on European expertise has led to workforce shortages and knowledge transfer gaps.
Two core localization challenges are addressed in this study: technical workforce training and knowledge transfer. Through cause analysis and contradiction identification, three key issues are highlighted: (1) High skill demands with limited training time and replicability, leading to overdependence on foreign experts; (2) Curriculum-industry mismatch; (3) Rigid training models that overlook the needs of in-service or nontraditional learners. To address these issues, this study applies the 31 Parameters for Business & Management and the 40 Inventive Principles in Education Area to transform challenges into opportunities. The OffshoreAI assisted learning support platform is further proposed as a preliminary implementation. Centered on an AI chatbot module (Zapier Chatbots), the platform integrates training materials, technical documents, and external professional resources, providing real-time feedback and learning guidance through natural language interaction. In doing so, it validates the feasibility of the “Digitalization × Modularization” strategy for workforce development and knowledge transfer.
The results not only address current challenges but also create new opportunities for developing local talent in the offshore wind industry. In the future, applying intelligent support systems in practical training and advancing modular, standardized programs can gradually shape a clear career pathway for local professionals. This will strengthen Taiwan’s technical capacity, increase self-reliance, and provide a strong foundation for sustainable growth and global competitiveness in offshore wind power systems.

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