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Dynamic LCA methodology to support post-occupancy decision-making for carbon budget compliance
Energy and Buildings ( IF 6.7 ) Pub Date : 2024-02-20 , DOI: 10.1016/j.enbuild.2024.114006
L.H. Neves Mosquini , B. Delinchant , T. Jusselme

In response to the climate crisis and ever diminishing global carbon budget targets, managing carbon emissions, particularly during the post-occupancy phase in the building sector, is pivotal. This study presents a novel approach that uses a parametric Life Cycle Assessment (LCA) workflow that integrates the temporal dimension to align post-occupancy decision-making with carbon budgets. Applying this method to a French residential case study, this work explores optimization, sensitivity analysis, and different visualization techniques in hopes to inform building actors not only of which carbon mitigation measures to implement, but also when to execute them. The temporal aspect of decision-making proved to be extremely useful as a renovation plan for the remaining building life cycle is proposed. Interestingly however, similar optimization solutions emerged from static and dynamic LCAs despite very distinct Global Warming Potential values, suggesting a possible overlook of dynamic parameters. Findings also illuminate the complexity of conveying multifaceted decision-making information, emphasizing the importance of tailoring solutions. Nonetheless, the specificity of results necessitates further research across varied building typologies. This study is another step towards sustainable building management, underlining the urgency of adhering to carbon budgets.

中文翻译:

动态 LCA 方法支持碳预算合规的入住后决策

为了应对气候危机和不断缩小的全球碳预算目标,管理碳排放,特别是在建筑行业的入住后阶段,至关重要。本研究提出了一种新颖的方法,该方法使用参数化生命周期评估(LCA)工作流程,该工作流程集成了时间维度,以使入住后决策与碳预算保持一致。这项工作将这种方法应用于法国住宅案例研究,探索了优化、敏感性分析和不同的可视化技术,希望不仅告知建筑参与者要实施哪些碳减排措施,还告知何时执行这些措施。事实证明,决策的时间方面非常有用,因为提出了剩余建筑生命周期的翻修计划。然而有趣的是,尽管全球变暖潜势值非常不同,但静态和动态 LCA 中出现了类似的优化解决方案,这表明动态参数可能被忽视。研究结果还阐明了传达多方面决策信息的复杂性,强调了定制解决方案的重要性。尽管如此,结果的特殊性需要对不同的建筑类型进行进一步的研究。这项研究是迈向可持续建筑管理的又一步,强调了遵守碳预算的紧迫性。
更新日期:2024-02-20
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