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オフィス内装の繰り返し更新による気候変動影響:循環経済に基づく改善の将来志向ライフサイクル評価

Climate change impacts of recurring office fit-outs: a prospective life cycle assessment of circular economy-based improvements (原題)

S. N. Weerasinghe, Sarah J. McLaren, Romain Sacchi, Dowdell David, Chanjief Chandrakumar, Mikael Boulic

The International Journal of Life Cycle Assessment📚 査読済 / ジャーナル2026-10-27#省エネOrigin: Global経営インパクト: コスト削減対象セクター: real_estate
DOI: 10.1007/s11367-026-02762-6
原典: https://doi.org/10.1007/s11367-026-02762-6
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🤖 gxceed AI 要約

日本語

複数テナント型オフィスの内装更新(2〜10年毎)が建物生涯GHGの約4分の1を占める点に着目。静的LCAで素材製造がホットスポットと特定し、循環経済戦略の全実施で単回内装の純影響を17%削減。将来志向LCA(pLCA)では最終内装の純影響が静的LCA比56%減となり、将来の技術・政策変化を反映できることを示した。

English

This study applies prospective LCA to recurring office fit-outs in Aotearoa New Zealand, finding material manufacturing dominates emissions. Circular economy strategies cut a single fit-out's net impact by 17% under static LCA, while prospective LCA shows a 56% reduction for the final fit-out versus static results, capturing future technology and policy change.

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

Scope 3カテゴリ1・2や建物ライフサイクル排出の算定に関わる日本企業(建設・不動産・テナント)にとって、内装更新の繰り返し排出を将来シナリオで評価する手法はSSBJ開示やScope 3精緻化の参考になる。

In the global GX context

Adds methodological depth to building life-cycle and Scope 3 accounting under ISSB/CSRD, showing how prospective LCA captures future decarbonization pathways that static LCA misses—relevant to real estate and construction disclosure.

👥 読者別の含意

🔬研究者:pLCAと循環経済戦略を組み合わせた時間差評価の手法設計を学べる。

🏢実務担当者:テナント内装の繰り返し更新をScope 3・ライフサイクル算定に組み込む際の評価枠組みとして活用できる。

🏛政策担当者:建物ライフサイクル排出規制や循環経済政策の将来効果評価にpLCAを用いる根拠を提供する。

📄 Abstract(原文)

Abstract Purpose Buildings with long service life are associated with recurring greenhouse gas (GHG) emissions arising from repeated activities such as refurbishments over time, which can significantly contribute to the cumulative climate change impact. In particular, multi-tenant office buildings, where fit-outs typically occur every 2–10 years, contribute approximately a quarter of GHG emissions over the building service life. This study applies prospective LCA (pLCA) to quantify the climate change impact over the service life of a tenanted office building and assesses the effect of circular economy (CE) strategies using time-differentiated analysis. In contrast to static life cycle assessment (LCA), this approach enables climate change impact assessment of future scenarios with changed processes to account for potential future emissions. Method An office fit-out case study in Aotearoa New Zealand was modelled using attributional LCA. The climate change impact was initially quantified using static LCA and hotspots were identified for applying CE strategies. Alternative CE strategies were then modelled using static LCA, related to maximising reuse, design for optimisation, and using low-impact materials. Then pLCA was conducted using the premise software to quantify the future climate change impact by analysing office fit-outs across four subsequent fit-out cycles at 10-year intervals, with and without implementation of CE strategies. In addition to the global future scenarios in premise , a national electricity decarbonisation pathway was included in the scenario modelling. Sensitivity analyses were conducted to assess the robustness to key assumptions in the evaluated CE strategies and use of alternative climate policy pathways. Results and discussion The static LCA results showed that office fit-outs in module B5 are dominated by GHG emissions arising from manufacture of materials and components. Implementing all the evaluated CE strategies can reduce the net climate change impact of a single office fit-out - modelled using static LCA - by 17%. However, when modelled using pLCA, the net climate change impact of the final office fit-out is reduced by 56% relative to the same office fit-out modelled using static LCA. Conclusion The study shows that pLCA enables a more comprehensive evaluation of future GHG emissions associated with recurring fit-outs in office buildings, and the future mitigation potential of CE strategies that target current GHG emission hotspots. Through the incorporation of prospective background data, the results capture potential future technological, socio-economic, and climate policy developments that are not represented in static LCA.

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