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BIPVベースの低炭素エネルギー改修のためのスマートビル技術：批判的レビュー

Smart Building Technologies for BIPV-Based Low-Carbon Energy Retrofitting: A Critical Review (原題)

Hashem Amini Toosi, Mohammadjavad Mahdavinejad

Buildings📚 査読済 / ジャーナル2026-11-08#省エネOrigin: Global経営インパクト: コスト削減対象セクター: construction
DOI: 10.3390/buildings16214457
原典: https://doi.org/10.3390/buildings16214457

🤖 gxceed AI 要約

日本語

本論文は、BIPVとスマートビル技術を統合したエネルギー改修の文献をPRISMAに基づき体系的にレビューした。改修深度別の技術分類、フェーズ別KPIフレームワーク、性能優先度決定マトリクスを新たに提案する。物理的介入に研究が偏り、デジタル監視・制御や社会準備性KPIが不足していることを統計的に示した。

English

This critical review synthesizes literature on smart building technologies for BIPV-driven energy retrofitting using a PRISMA-based protocol. It proposes a retrofit-depth classification, a phase-based KPI framework, and a performance-priority decision matrix linking measures to carbon reduction, cost, grid flexibility, and self-sufficiency. Statistical analysis reveals an overemphasis on physical interventions and underrepresentation of digital monitoring and social KPIs.

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

日本では建築物の省エネ改修とBIPVの導入がGX推進の重要課題であり、本レビューのKPIフレームワークや決定マトリクスは、企業の脱炭素投資判断や自治体の改修計画に活用できる。SSBJや有報での気候関連開示における建物セクターの定量的根拠としても示唆に富む。

In the global GX context

Globally, the building sector is central to decarbonization pathways, and this review offers a structured framework for integrating smart technologies and BIPV into retrofits. The proposed KPI and decision matrix can inform disclosure under TCFD/ISSB by providing performance metrics for building-related transition plans. It also highlights research gaps in digital monitoring and social readiness, relevant to CSRD reporting on social aspects.

👥 読者別の含意

🔬研究者:Provides a structured taxonomy and KPI framework for building retrofit research, highlighting gaps in digital monitoring and social KPIs.

🏢実務担当者:Offers a decision matrix to prioritize smart building measures in BIPV retrofits based on carbon, cost, grid flexibility, and self-sufficiency goals.

🏛政策担当者:Suggests evidence-based guidance for promoting integrated smart building retrofits and addressing underresearched areas like digital control and social readiness.

📄 Abstract（原文）

The significant share of the building sector in global final energy consumption and subsequent CO2 emissions makes this sector a pivotal element in decarbonization pathways through energy retrofitting strategies. However, integrating effective solutions such as smart building technologies and building-integrated photovoltaic (BIPV) systems into energy retrofitting projects faces critical challenges, including fragmented evidence-based knowledge, discrepancies in assessment methods, and the complexity of coordinating multiple systems. This critical review synthesizes the fragmented body of literature to present a comprehensive framework for implementing smart building technologies in BIPV-driven energy retrofitting, using a structured PRISMA-based protocol, multiple technological taxonomies, and statistical analysis. The study presents three major novel contributions to this field: (i) a retrofit-depth classification of smart building technologies and further categories aligned with intervention intensity; (ii) a retrofit phase-based key performance indicator (KPI) framework; and (iii) a performance-priority decision matrix linking performance levels to technological measures across four primary performance goals: carbon emission reduction, cost optimization, grid flexibility and renewable self-sufficiency. Statistical analysis reveals a notable imbalance in the existing research landscape where physical interventions, such as system replacements and renewable system integration, dominate the literature, while the application of digital monitoring and control systems and social/readiness KPIs are significantly underrepresented. The findings further demonstrate that integrated technological solutions are more frequently associated with higher performance improvement. This study and proposed performance-priority decision matrix further provide evidence-based practical guides for researchers, practitioners, and policymakers to implement and promote effective and climate-focused smart building retrofitting strategies.

🔗 Provenance — このレコードを発見したソース

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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。