An Integrated Conceptual Framework for Low-Carbon and Cost-Effective Building Design Optimisation
低炭素で費用対効果の高い建築設計最適化のための統合的枠組み (AI 翻訳)
Raigama Acharige Dinithi Piyumra, N D Domingo, Diocel Harold Aquino, Chinthaka Niroshan Atapattu, An Le
🤖 gxceed AI 要約
日本語
本論文は、建設コストと初期体現炭素の同時最小化を目指した建築設計最適化の統合的枠組み（ICCO-BD）を提案する。系統的文献レビューと専門家インタビューに基づき、問題定式化、パラメトリックモデリング、多目的最適化、パレート評価を統合したワークフローを提示する。概念的な枠組みであるが、実務での応用が期待される。
English
This paper proposes an integrated conceptual framework (ICCO-BD) for building design optimization that simultaneously minimizes upfront embodied carbon and construction costs. Based on a systematic literature review and expert interviews, it integrates problem formulation, parametric modeling, multi-objective optimization, and Pareto-based evaluation. While conceptual, the framework aims to improve time efficiency and decision-making in low-carbon building design.
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SSBJや建築物省エネ基準の強化が進んでおり、本枠組みは建設会社や設計事務所がコストと炭素排出のトレードオフを考慮しながら低炭素設計を実現するための実践的な指針となり得る。日本の建築業界の脱炭素化に貢献する可能性がある。
In the global GX context
Globally, the framework addresses a gap in upfront embodied carbon optimization, which is increasingly recognized alongside operational carbon in net-zero building targets. It provides a structured approach for design teams to balance cost and carbon, aligning with embodied carbon reduction goals in regulations like the EU's Level(s) and the UK's Part Z.
👥 読者別の含意
🔬研究者:Provides a structured framework for multi-objective optimization in low-carbon building design, useful for further empirical testing and refinement.
🏢実務担当者:Offers a conceptual workflow for integrating cost and carbon optimization in building design, potentially reducing project costs and carbon footprint.
🏛政策担当者:Highlights the need for policy support to encourage upfront carbon reduction in building design, not just operational energy.
📄 Abstract（原文）
Higher construction costs (CCs) linked to carbon reduction methods have hindered the adoption of low-carbon approaches in the built environment. The simultaneous minimisation of upfront embodied carbon (EC) and CCs has not received much attention in building design optimisation (BDO) research; most studies prioritise operational energy, operational carbon, and operational cost reduction. This paper develops an integrated conceptual framework for low-carbon, cost-effective BDO, particularly targeting upfront EC and CCs, to fill this research gap and meet industry demands. A systematic literature review was conducted following PRISMA guidelines, synthesising 41 peer-reviewed articles published between 2015 and 2026. Thematic and content analyses were employed to extract and categorise key methodological components, including optimisation problem characterisation, objective-driven design variable selection, constraint modelling, algorithm selection, and evaluation and validation approaches. Subsequently, the developed conceptual framework was validated through semi-structured expert interviews with participants comprising BDO researchers and building designers in the construction field. A cross-mapping of optimisation objectives, optimised parameters, and design variables was developed to clarify their interrelationships, alongside structured criteria for optimisation algorithm selection. Based on these insights, a conceptual framework named “ICCO-BD (Integrated Upfront Carbon and Construction Cost Optimisation for Building Design) framework” is proposed and validated, integrating problem formulation, parametric modelling, multi-objective optimisation, and systematic Pareto-based evaluation into a coherent end-to-end workflow, enabling improved time efficiency through reduced redesign iterations, enhanced solution quality via better pareto front exploration, and more robust decision-making through clearer trade-off interpretation. While expert feedback indicated strong conceptual relevance and practical applicability, the framework remains conceptual in nature and requires further empirical verification through real-world case studies and optimisation applications before broader industry implementation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/buildings16122380first seen 2026-06-17 05:04:06 · last seen 2026-06-17 07:11:24
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