日本住宅用可重复使用模块化木结构的环境效益:LCA方法

R. Passarelli
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引用次数: 5

摘要

日本每年对木结构建筑的需求量一直超过5000万平方米。然而,日本的建筑行业是基于建筑库存的不断更新,导致平均寿命短,从环境和经济的角度来看,这是一个不可持续和浪费的系统。作为这种情况的替代方案,本研究评估了使用CLT的模块化大质量木材系统的环境效益,该系统设计用于连续重复使用。首先,该研究提出了一个屡获殊荣的日本住宅建筑模块化、可重复使用的大量木材系统的方案。之后,研究使用生命周期评估(LCA)方法,计算了可重复使用系统的全球变暖潜能值(GWP),并与传统的大型木材系统(基准)进行了比较。该研究在60年内对两个不同地点的拟议系统进行了评估。在上述时间框架内,考虑了森林资源的三种不同情景,即森林稳定(标准)、森林生长(乐观)和森林资源减少(悲观),以了解森林碳流的变化如何影响建设的环境产出。结果表明,模块化建筑系统可用于在日本提供高质量的住宅,从而在减轻建筑对环境的影响方面具有巨大的潜力。更具体地说,森林生长情景提供的全球变暖潜值最小,比基准值小100%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Environmental Benefits of Reusable Modular Mass Timber Construction for Residential use in Japan: an LCA Approach
The demand for wooden buildings in Japan consistently reaches figures over 50 million square meters per year. However, the building industry in Japan is based on the constant renewal of the building stock, leading to a short average lifespan, and an unsustainable and wasteful system both from the environmental and economic point of view. As an alternative to this situation, this study assesses the environmental benefits of a modular mass timber system using CLT, designed for consecutive reuse. First, the study presents an award-winning proposal for a modular, reusable mass timber system for residential construction in Japan. After, the study calculates the Global Warming Potential of construction (GWP) of the reusable system in comparison to a conventional mass timber system (benchmark), using the Lifecycle Assessment (LCA) method. The study evaluates the proposed system in two different locations, within 60 years. Three different scenarios for forest resources are considered during the above time-frame, namely stable forest (standard), growing forest (optimistic) and decreasing forest resources (pessimist) to understand how changes in the carbon flow of forests could impact the environmental output of the construction. The results show a modular construction system can be used to provide high-quality dwellings in Japan leading to a significant potential for mitigating the impacts of construction on the environment. More specifically, a growing forest scenario provides the smallest GWP, more than 100% smaller than the benchmark.
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