BIM-based life cycle assessment: A systematic review on automation and decision-making during design

IF 7.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Building and Environment Pub Date : 2025-06-06 DOI:10.1016/j.buildenv.2025.113248

Sara Parece , Ricardo Resende , Vasco Rato

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引用次数: 0

Abstract

Life Cycle Assessment (LCA) is essential to achieve a Net-Zero Carbon Built Environment and inform effective mitigation strategies for environmental impacts throughout a building's life cycle. However, collecting Life Cycle Inventory (LCI) data and the Life Cycle Impact Assessment (LCIA) processes are complex and time-consuming. BIM-LCA integration enables automated quantity-take-off, supporting faster evaluation of different design options and decision-making. Consequently, research on BIM-LCA has grown significantly since 2013. However, previous literature reviews on BIM-LCA do not cover developments from the past three years, nor do they assess how BIM-LCA supports decision-making or how decision-making methods can enhance its adoption and use, particularly among non-LCA experts.

A systematic literature review was conducted following the PRISMA protocol to address this gap. A total of 115 research articles (2019–2024) were analysed according to design phases, BIM object LOD, LCA application, data exchange and extraction methods, automation degree, and decision-making features, covering Multi-Criteria Decision Analysis, Multi-Objective Optimisation, and Sensitivity/Uncertainty analyses.

The findings highlight advancements in LCI automation. However, several challenges remain, including manual BIM-LCA data mapping during LCIA and limited research on: BIM-LCA for renovation projects, dynamic data exchange for OpenBIM, standardised LOD for different LCA applications, and local databases for budget-based targets. Furthermore, few studies integrate LCA with economic and social indicators, and decision-making methods are mainly absent from BIM-LCA tools.

This study outlines research directions to address these limitations and improve BIM-LCA automation and decision-making. Future efforts will focus on gathering insights from industry stakeholders to establish priorities for user-centred BIM-LCA development.

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基于bim的生命周期评估：设计过程中自动化和决策的系统回顾

生命周期评估（LCA）对于实现净零碳建筑环境至关重要，并为整个建筑生命周期的环境影响提供有效的缓解策略。然而，收集生命周期清单（LCI）数据和生命周期影响评估（LCIA）过程既复杂又耗时。BIM-LCA集成实现了自动化数量起飞，支持对不同设计方案和决策的更快评估。因此，自2013年以来，对BIM-LCA的研究显著增长。然而，之前关于BIM-LCA的文献综述并没有涵盖过去三年的发展，也没有评估BIM-LCA如何支持决策，或者决策方法如何提高其采用和使用，特别是在非lca专家中。根据PRISMA方案进行了系统的文献综述，以解决这一差距。根据设计阶段、BIM对象LOD、LCA应用、数据交换和提取方法、自动化程度、决策特征，对115篇研究论文（2019-2024年）进行分析，涵盖多准则决策分析、多目标优化和敏感性/不确定性分析。这些发现突出了LCI自动化的进步。然而，仍然存在一些挑战，包括在LCIA期间手动BIM-LCA数据映射和有限的研究：翻新项目的BIM-LCA， OpenBIM的动态数据交换，不同LCA应用程序的标准化LOD，以及基于预算目标的本地数据库。此外，很少有研究将LCA与经济和社会指标相结合，BIM-LCA工具主要缺乏决策方法。本研究概述了解决这些限制和改进BIM-LCA自动化和决策的研究方向。未来的工作将集中于收集行业利益相关者的见解，以确定以用户为中心的BIM-LCA开发的优先事项。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Building and Environment 工程技术-工程：环境

CiteScore

12.50

自引率

23.00%

发文量

1130

审稿时长

27 days

期刊介绍： Building and Environment, an international journal, is dedicated to publishing original research papers, comprehensive review articles, editorials, and short communications in the fields of building science, urban physics, and human interaction with the indoor and outdoor built environment. The journal emphasizes innovative technologies and knowledge verified through measurement and analysis. It covers environmental performance across various spatial scales, from cities and communities to buildings and systems, fostering collaborative, multi-disciplinary research with broader significance.