Life Cycle Assessment of Building Deconstruction: Insights from Ten Projects
建物の分解的撤去（デコンストラクション）のライフサイクルアセスメント：10プロジェクトからの知見 (AI 翻訳)
Tannaz Afshar Bakeshloo, A. Sawyer, J. D. Lee
🤖 gxceed AI 要約
日本語
本研究は、10件の建物解体プロジェクトに対し標準化されたLCAを適用し、標準的な解体と比較して、良好な解体により62%、最良の解体により86%の排出削減が可能であることを示した。いくつかのプロジェクトでは98-99%の削減を達成しており、主にバージン材生産の回避による。これらの結果は、循環経済への移行を支援する強固なエビデンスを提供する。
English
This study conducts a standardized LCA on ten building deconstruction projects, comparing standard, good, and best-practice scenarios. Results show average emissions reductions of 62% and 86% respectively, with some projects achieving 98-99% reductions, primarily from avoided virgin material production. The findings provide robust evidence for decision-makers to support circular economy transitions and sustainable material strategies.
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
米国の事例ではあるが、日本の建設リサイクル法や建築物のライフサイクル管理にも示唆を与える。特に、解体ではなく分別解体（デコンストラクション）によるCO2削減効果を定量化しており、自治体や建設業者が政策や実務に活用できる。
In the global GX context
This paper adds multi-case empirical evidence to the global discourse on embodied carbon and circular economy in the built environment. It provides quantitative support for deconstruction policies and material reuse strategies, relevant to ISSB/TCFD frameworks that consider supply chain emissions and resource efficiency.
👥 読者別の含意
🔬研究者:Provides a multi-case LCA comparison that strengthens the evidence base for deconstruction's emissions benefits versus demolition.
🏢実務担当者:Quantifies emission reduction potential from material salvaging, aiding construction firms and property owners in evaluating deconstruction options.
🏛政策担当者:Offers compelling data for municipalities considering deconstruction ordinances or incentivizing material reuse in building codes.
📄 Abstract（原文）
In 2018, the United States generated more than 600 million tons of construction and demolition (C&D) waste, of which 143 million tons were landfilled. Demolition alone accounted for 94% of this total. In Pittsburgh, nearly 1,700 condemned properties are slated for removal, representing a substantial source of future waste. While the U.S. Environmental Protection Agency estimates that 90-95% of C&D waste could be recycled or reused, demolition practices rarely realize this potential. Deconstruction-carefully dismantling buildings for material recovery-has the potential to reduce landfill waste, conserve resources, and lower embodied carbon. Although life cycle assessments (LCA) have been applied to deconstruction, most focus on single projects or specific materials, limiting their broader relevance. To address this gap, we conducted a standardized LCA (ISO 14040/44) study on ten documented deconstruction projects using publicly available data. Three scenarios-standard, good, and best practice- were modeled with varying salvage rates to quantify material recovery and associated greenhouse gas emissions reductions. A sensitivity analysis of transport distance to test the influence of transportation distance assumptions was also included to strengthen decision-making insights. The results show that across 10 projects on average, good deconstruction scenarios reduce emissions by approximately 62%, while best-practice scenarios achieve average reductions of about 86%, with several projects reaching 98-99% reductions relative to the standard scenario. These reductions are primarily driven by avoided impacts from virgin material production associated with material recovery and reuse. Beyond environmental benefits, salvaged materials expand access to affordable, low-carbon building supplies and support healthier communities. By comparing the results across multiple cases and contexts, this study provides robust evidence for decision-makers, municipalities, and designers on how deconstruction can support circular economy transitions and sustainable material strategies worldwide.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1051/e3sconf/202671607004first seen 2026-06-29 06:48:16
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