Development of an integrated decision-support platform for WLCA in the early-design stage
早期設計段階におけるWLCAのための統合意思決定支援プラットフォームの開発 (AI 翻訳)
C. Liu, Yaw-Shyan Tsay
🤖 gxceed AI 要約
日本語
この研究は、台湾の2050年ネットゼロ目標に向け、建築物のライフサイクルアセスメント（WBLCA）を初期設計段階で統合的に行うプラットフォームHagfishを開発した。HagfishはGrasshopper-ETABSプラグインにより、構造モデリング、耐震解析、材料定量、炭素評価を一元化し、数分でWBLCAを実現する。従来の断片的なツールの問題を解決し、低炭素設計の基盤を提供する。
English
This study develops Hagfish, an integrated Grasshopper-ETABS plug-in that unifies structural modeling, seismic analysis, material quantification, and carbon assessment for Whole Building Life Cycle Assessment (WBLCA) at the early design stage. It addresses the fragmentation of current simulation tools by enabling a single-platform pipeline from massing to WBLCA in minutes. The system supports low-carbon design by providing early-stage, real-time feedback on embodied and operational carbon.
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
この研究は、日本の建築設計実務においても、SSBJやZEB/ZEH対応のための初期段階での統合的炭素評価手法として参考になる。パラメトリックな設計プロセスとの親和性が高い。
In the global GX context
Globally, this paper contributes to the growing need for early-stage, integrated building carbon assessment tools, complementing standards like EN 15978 and the EU's Level(s) framework. It demonstrates a practical method to overcome data fragmentation in LCA, supporting iterative low-carbon design.
👥 読者別の含意
🔬研究者:Provides a novel integrated workflow for WBLCA that combines structural, energy, and carbon analysis, useful for researchers in building LCA and low-carbon design.
🏢実務担当者:Offers a practical plug-in that can speed up early-stage carbon assessments for designers and sustainability consultants.
🏛政策担当者:Could inform policy on incentivizing integrated design tools for building decarbonization.
📄 Abstract（原文）
As Taiwan advances toward its 2050 net-zero goals, Whole Building Life Cycle Assessment (WBLCA) has become a critical framework for evaluating building carbon emissions. However, a major gap persists in the early design stage: designers cannot access massing shape, structural checks, material amounts, and carbon results all together. This limitation often causes designers to make early decisions based on rough estimates, which can significantly increase embodied carbon when structural requirements are added later. Furthermore, current simulation tools operate as fragmented systems—energy modeling and structural analysis are executed independently—resulting in a lack of integrated, real-time, and iterative decision-support mechanisms during the early design phase. This study develops Hagfish, an automated Grasshopper-ETABS plug-in that unifies structural modeling, seismic analysis, material quantification, and carbon assessment. Hagfish converts parametric massing into RC frame models, executes ETABS analysis via API, extracts reinforcement and concrete quantities for embodied carbon, and integrates Honeybee-derived EUI for operational carbon estimation. The system enables a single-platform —LCDSP pipeline—from massing to WBLCA—within minutes, rather than days. The proposed workflow demonstrates a practical, early-stage structural-energy-carbon integration method that addresses the information discontinuities of conventional LCA tools and establishes a scalable foundation for low-carbon design and optimization research.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1051/e3sconf/202671604015first seen 2026-06-29 07:26:10
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