Energy Efficiency and Decarbonisation Pathways in Injection Moulding: A Life Cycle Assessment of End-of-Life Allocation Methods
射出成形におけるエネルギー効率と脱炭素経路:廃棄物処理の配分方法のライフサイクルアセスメント (AI 翻訳)
Viktoria Mannheim, Kinga Szabó, Judit Lovasné Avató
🤖 gxceed AI 要約
日本語
本研究は、高密度ポリエチレン(HDPE)射出成形システムのエネルギー性能と脱炭素ポテンシャルに対する廃棄物処理配分方法(カットオフと代替)の影響をLCAで評価。実産業データを用いた定量分析により、配分方法の選択が結果を左右し、クローズドループ化で累積エネルギー需要が3.2%削減されることを示した。また、移行期のエネルギーシステムでは埋立が高効率焼却より低炭素となる「埋立パラドックス」を特定。
English
This study uses LCA to assess how end-of-life allocation methods (cut-off vs substitution) affect energy performance and decarbonization potential of HDPE injection molding. Using industrial data, it shows allocation choices significantly influence results, with closed-loop systems reducing cumulative energy demand by 3.2%. It identifies a 'landfill paradox' where landfilling has lower net carbon footprint than incineration in transitional energy systems.
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
日本の製造業、特にプラスチック製品分野では、SSBJ開示やサプライチェーン排出量算定においてLCA手法の一貫性が求められる。本研究成果は、国内のリサイクル政策や廃棄物処理の選択に示唆を与え、実データに基づく配分方法の透明性向上に寄与する。
In the global GX context
Globally, this paper contributes to the ongoing debate on LCA methodology in circular economy assessments, relevant for ISSB/CSRD reporting where Scope 3 emissions and end-of-life treatment are critical. The 'landfill paradox' challenges assumptions in waste management policy and highlights the need for context-specific emission factors.
👥 読者別の含意
🔬研究者:LCA practitioners should note the sensitivity of results to allocation choices and the need for transparent frameworks.
🏢実務担当者:Manufacturing firms can use the findings to optimize recycling loops and communicate environmental performance credibly.
🏛政策担当者:Policymakers should consider the landfill paradox when designing waste management and energy transition policies.
📄 Abstract(原文)
Life Cycle Assessment (LCA) is extensively employed to support sustainability evaluation in waste management and manufacturing systems; however, outcomes are highly sensitive to methodological decisions, particularly end-of-life (EoL) allocation approaches. This study examines how cut-off and substitution approaches affect the energy performance and decarbonisation potential of high-density polyethylene (HDPE) injection moulding systems. A dual framework is adopted: first, a literature review examines methodological sensitivities in EoL modelling; second, a quantitative case study assesses industrial-scale primary data for the production of durable HDPE bottles (300 mL). The LCA model integrates specific technical parameters, including a 220 °C melt temperature and a 36 s cycle time, ensuring a realistic representation of manufacturing conditions. The results indicate that allocation choices significantly influence calculated impacts, sometimes reversing the relative ranking of configurations. Substitution-based approaches report higher benefits by crediting avoided primary production, while cut-off logic provides more conservative estimates. Quantitative analysis shows that transitioning from open-loop to fully closed-loop configurations reduces cumulative energy demand by 3.2% and freshwater emissions per functional unit by 2.8%. Furthermore, the study identifies a ‘landfill paradox’ specific to HDPE waste within transitional energy systems: due to the carbon sequestration effect of landfilled polymers and current grid emission factors, landfilling exhibits a lower net carbon footprint (0.03 kg CO2-eq./kg) than high-efficiency incineration (1.54 kg CO2-eq./kg). These findings highlight that circular economy evaluations are strongly shaped by methodological assumptions, with direct implications for energy policy. Bridging the gap between specific industrial processing parameters and end-of-life allocation logic underscores the need to incorporate primary industrial data and transparent allocation frameworks to support reliable decision-making in the transition toward low-carbon and energy-efficient manufacturing systems.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3390/en19102295first seen 2026-05-14 22:16:15 · last seen 2026-05-24 05:10:35
- openalex https://doi.org/10.3390/en19102295first seen 2026-05-31 04:36:37 · last seen 2026-06-09 04:35:12
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