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Wind Turbines Immersive Technologies in Future of Renewable Energy: Fashionable and Futuristic Digital Transformation Decentralized Finance in Green Energy and Global Energy Transition

風力タービン没入型技術と再生可能エネルギーの未来:ファッショナブルで未来的なデジタル変革、グリーンエネルギーと世界のエネルギー転換における分散型金融 (AI 翻訳)

Bhupinder Singh, Christian Kaunert

Apple Academic Press eBooksジャーナル2026-06-11#エネルギー転換経営インパクト: 資金調達対象セクター: power
DOI: 10.1201/9781779642400-7
原典: https://doi.org/10.1201/9781779642400-7

🤖 gxceed AI 要約

日本語

本論文は、没入型技術(VR/AR)、IoT分析、分散型金融(DeFi)を統合した再生可能エネルギーシステムの概念的枠組みを提案する。風力タービンに焦点を当て、デジタルツインやスマートグリッドの既存研究を批判的に検討し、これらの技術の統合的展開が運用レジリエンスと財務的持続可能性を向上させる可能性を示す。政策立案者や投資家への戦略的示唆を提供する。

English

This chapter proposes an integrative conceptual framework combining immersive technologies (VR/AR), IoT analytics, and decentralized finance (DeFi) for renewable energy systems, particularly wind turbines. It critically synthesizes existing research on digital twins and smart grids, arguing that coordinated deployment can enhance operational resilience and financial sustainability. Strategic guidance is offered for policymakers and investors.

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

日本は洋上風力発電の拡大とデジタル変革を推進中。本論文のDeFiと没入型技術の統合は、日本の再生可能エネルギー投資の民主化やメンテナンス効率化に示唆を与える可能性がある。ただし、概念的な議論に留まるため、実証研究との比較が必要。

In the global GX context

Global energy transition increasingly relies on digitalization and innovative financing. This paper's lens on DeFi and immersive tech integration is timely for debates on scaling renewable investments and improving O&M efficiency, though it lacks empirical grounding.

👥 読者別の含意

🔬研究者:A conceptual framework connecting immersive tech, IoT, and DeFi for renewable energy systems, offering a foundation for future empirical work.

🏢実務担当者:Highlights potential of VR/AR for turbine maintenance training and DeFi for project financing, but lacks practical implementation details.

🏛政策担当者:Suggests regulatory considerations for integrating decentralized finance and digital tools into renewable energy policy.

📄 Abstract(原文)

This chapter examines the convergence of immersive technologies, decentralized finance (DeFi), and digital transformation in reshaping the operational and financial foundations of the renewable energy sector, with particular emphasis on wind turbine systems. In an ideal sustainable energy ecosystem, advanced digital tools, transparent financing mechanisms, and intelligent infrastructure operate in harmony to optimize performance, ensure safety, and accelerate investment in green energy. Such a system is expected to integrate virtual and augmented reality for skill development and maintenance, Internet of Things (IoT)-driven analytics for real-time monitoring, and decentralized platforms for inclusive project financing. However, despite rapid technological progress, contemporary renewable energy systems remain constrained by fragmented digital adoption, centralized funding structures, regulatory uncertainty, and limited technological accessibility. Existing studies on smart grids, digital twins, and immersive training platforms highlight efficiency gains in turbine design and maintenance, while blockchain-based research emphasizes DeFi’s potential in peer-to-peer energy financing. Yet, these research streams largely evolve in isolation, offering limited insight into their systemic integration. Moreover, prior work rarely addresses how immersive technologies and decentralized finance jointly influence operational resilience and financial sustainability. Addressing this gap, the chapter develops an integrative conceptual framework grounded in digital ecosystem theory and decentralized governance models. Through critical synthesis and analytical evaluation, it demonstrates how coordinated deployment of virtual reality/augmented reality, IoT analytics, and DeFi platforms can enhance performance optimization, democratize investment, and strengthen trust in renewable energy systems. The findings provide strategic guidance for policymakers, utilities, and investors seeking to advance scalable and sustainable energy transitions.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。