优先使用低碳材料并减少材料数量,以减轻建筑物中隐含的温室气体排放

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Buket Tozan, Endrit Hoxha, Emilie Brisson Stapel, Harpa Birgisdóttir
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引用次数: 0

摘要

随着建筑法规的日益严格,生命周期评估(LCA)正成为记录和减少温室气体排放(GHGe)的关键方法。缓解战略往往侧重于优化材料数量或用低碳替代品替代传统材料。然而,这些方法通常是孤立地应用于特定的建筑部件。本研究探讨了应优先考虑哪些缓解策略,以减少整个建筑层面的温室气体排放,同时确保符合丹麦新建筑的监管限制。利用172座住宅建筑和1054份21种材料类别的环境产品声明(EPD)的数据,通过将真实建筑的材料强度系数(mic)与环境产品声明数据相结合,采用蒙特卡罗模拟方法生成lca。结果表明,排屋符合规定限值的概率为66%,多户建筑符合规定限值的概率为64%,而单户住宅只有15%。跨材料类别的敏感性分析确定了总排放量和可变性的关键因素,如矿物板和预拌混凝土。这突出了应通过选择影响较低的材料或减少材料数量集中开展缓解工作的领域。研究结果表明,优先减少材料的数量可能是最有效的方法,尽管低碳材料仍然是一个关键的策略。这些结果为在设计过程的早期做出明智的材料选择提供了有价值的见解,并提供了改善生命周期中体现的GHGe的策略,以符合建筑项目的法规遵从性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prioritizing low-carbon materials and reducing material quantities to mitigate embodied GHG emissions in buildings
As regulations for buildings become increasingly stringent, Life Cycle Assessment (LCA) is emerging as a key method of documenting and reducing embodied greenhouse gas emissions (GHGe). Mitigation strategies often focus on optimizing material quantities or substituting conventional materials with low-carbon alternatives. However, these approaches are typically applied in isolation and to specific building components. This study examines which mitigation strategies should be prioritized to reduce embodied GHGe at the whole-building level while ensuring compliance with regulatory limits for new construction in Denmark. Using data from 172 residential buildings and 1054 Environmental Product Declarations (EPDs) across 21 material categories, Monte Carlo Simulations were employed to generate LCAs by combining real buildings' material intensity coefficients (MICs) with EPD data. The results indicate a 66 % probability of compliance with the regulatory limit values for row houses and 64 % for multi-family buildings, but only 15 % for single-family homes. Sensitivity analyses across material categories identified key contributors to both total embodied emissions and variability, such as mineral boards and ready-mixed concrete. This highlights areas where mitigation efforts should be concentrated, either by selecting lower-impact materials or by reducing material quantities. The findings suggest that prioritizing reductions in material quantities may be the most effective approach, though low-carbon materials remain a crucial strategy. These results provide valuable insights for making informed material choices early in the design process and offer strategies for improving life cycle embodied GHGe in line with regulatory compliance for building projects.
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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