初期段階商業オフィス設計における内包炭素・材料コスト強度の設計空間ベース代理モデリング
Design-Space-Based Surrogate Modelling of Embodied Carbon and Material Cost Intensities for Early-Stage Commercial Office Design (原題)
Ali Pakdel, Carol K.H. Hon, Sara Omrani, Johnny Kwok Wai Wong, Omid Motamedisedeh
🤖 gxceed AI 要約
日本語
豪州の商業オフィス892シナリオを用い、内包炭素強度（ECI）と材料コスト強度（MCI）を設計空間で同時評価した。階数増加で両指標は上昇するが、延床面積増加に伴い増分は縮小。82.4%の構成で同一構造システムが両指標を最小化したが、19例で炭素とコストがトレードオフとなった。6種の回帰アルゴリズムを比較し、サポートベクター回帰が最良の代理モデルとして選定された。
English
Using 892 Australian commercial-office scenarios, this study jointly assesses embodied carbon intensity (ECI) and material cost intensity (MCI) across a design space. Both rise with storey count but increments shrink with larger GFA; the same structural system minimized both in 82.4% of configurations, with 19 cost–carbon trade-offs. Support vector regression was the best surrogate among six algorithms, enabling rapid screening and multi-objective optimization.
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2024年度から大規模建築物への省エネ基準適合義務化や建築物のライフサイクルCO2（LCA）算定・開示が進む。設計初期段階で炭素とコストを同時評価する本手法は、ZEB・LCCM住宅・CASBEE等の国内制度と親和性が高く、建設業のScope 3削減計画に資する。
In the global GX context
As global disclosure frameworks (ISSB, CSRD) increasingly demand Scope 3 and embodied carbon data, this study offers a computational method for early-stage design optimization. It bridges the gap between building LCA and cost planning, supporting TCFD-aligned transition plans in the real estate and construction sectors.
👥 読者別の含意
🔬研究者:設計空間探索と代理モデルを組み合わせた内包炭素・コスト同時評価の方法論を提供。
🏢実務担当者:初期設計段階で炭素とコストのトレードオフを迅速に評価し、意思決定に活用可能。
🏛政策担当者:建築物のライフサイクル炭素規制やインセンティブ設計の基礎データとして参考になる。
📄 Abstract（原文）
Few early-stage building studies combine systematic design-space exploration with concurrent assessment of embodied carbon intensity (ECI) and installed material cost intensity (MCI). Evidence therefore remains limited on how design choices jointly affect these indicators and when carbon and cost priorities converge or conflict. This study addresses this gap across an Australian commercial-office design space comprising 892 quality-screened Carbon Designer 3D scenarios. The scenarios were restricted to rectangular plans and six predominantly concrete-based structural systems, with variations in recorded gross floor area (GFA), storey count and three aspect ratios. Matched comparisons examined the effects of vertical development, plan proportion and structural system on A1–A3 product-stage ECI and MCI. Both indicators increased with storey count, although proportional increases declined with increasing recorded GFA; the size of the ECI increases may partly reflect the platform’s area-normalisation convention. Aspect-ratio effects depended on structural system. The same structural system minimised ECI and MCI in 89 of 108 matched configurations (82.4%), whereas 19 exhibited cost–carbon trade-offs. Six regression algorithms were evaluated as design-space-specific surrogates using 713 training scenarios and 179 held-out scenarios. Support vector regression produced the lowest five-fold cross-validated mean absolute error and was retained as the in-domain surrogate for both targets. The principal contribution is the joint analysis of ECI and MCI across a controlled commercial-office design space; the surrogate models provide a computational basis for rapid screening and subsequent multi-objective optimisation within that same design space.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/buildings16193858first seen 2026-09-30 05:00:42
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