英国既存建築ストックのネットゼロ改修のためのデジタルツイン最適化
Optimizing Digital Twin for Net-Zero Retrofitting for UK Existing Building Stock (原題)
Thomas O. Okimi, Habeeb Balogun, Olayinka Omoboye, Imoleayo Awodele
🤖 gxceed AI 要約
日本語
英国の既存建築物のネットゼロ改修を最適化するデジタルツイン駆動フレームワークを提案。文献レビューと383人のステークホルダー調査に基づき、DT導入の障壁と可能性を分析。適応的で費用対効果の高い改修戦略を支援し、UKのネットゼロ戦略に整合する。政策支援と産学連携、スキル向上を提言。
English
This study proposes a digital twin-driven framework to optimize net-zero retrofitting for the UK's existing building stock. Based on literature review and a survey of 383 stakeholders, it identifies barriers and enablers of digital twin adoption, showing how DTs can support adaptive, cost-efficient retrofitting aligned with the UK's Net Zero Strategy. It recommends policy support, industry-academia collaboration, and workforce upskilling.
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
日本の既存建築物の脱炭素化（ZEH/ZEB化、省エネ改修）にも応用可能な知見を提供。特に、デジタルツインによる改修最適化は、日本のストック型社会における効率的な投資判断に寄与し、不動産・建設分野のGX推進に示唆を与える。
In the global GX context
This research contributes to global efforts on decarbonizing existing building stock, aligning with TCFD/ISSB disclosure expectations for real estate and construction sectors. It offers a framework that can inform transition finance and policy design for net-zero retrofitting, relevant to jurisdictions like the EU and US with similar aging building challenges.
👥 読者別の含意
🔬研究者:Provides a framework and empirical insights on digital twin adoption for building retrofits, useful for further research on DT applications in energy efficiency.
🏢実務担当者:Offers guidance for property owners and construction firms on leveraging digital twins to plan and execute cost-effective net-zero retrofits.
🏛政策担当者:Highlights the need for policy support and investment in digital infrastructure to accelerate building decarbonization.
📄 Abstract（原文）
Abstract The urgent need to decarbonize the UK’s aging building stock presents both a challenge and an opportunity for innovation. With nearly 80% of the buildings expected to be in use by 2050 already constructed, traditional retrofitting methods often fail to provide scalable, cost-effective, and data-driven pathways to achieve net-zero. Digital Twin (DT) technology, through real-time simulation, scenario modeling, and predictive analytics, offers a transformative solution to optimize retrofitting decisions and lifecycle performance. This research aims to develop a Digital Twin-Driven Framework to optimize net-zero retrofitting strategies for the UK’s existing building stock. A mixed-method approach was used. A peer-reviewed articles (Scopus, 2015–December 2025) and grey literature provided the theoretical basis with survey of 383 stakeholders administered, gathered empirical insights into current practices, barriers, and enablers of DT adoption. Results reveal a significant knowledge gap in applying DTs in this context, as well as limited awareness among stakeholders and the lack of interoperable data environments. The proposed framework shows how DTs can support adaptive, cost-efficient, and performance-oriented retrofitting aligned with the UK’s Net Zero Strategy. The study recommends policy support for investments in DT infrastructure, collaboration between industry and academia, and workforce upskilling to accelerate the net-zero transition through digital innovation.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.21203/rs.3.rs-9487886/v1first seen 2026-08-21 05:20:21 · last seen 2026-08-24 05:48:27
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