Decision Making for Sustainable Product Development: The Net-Zero Ecosystem for Ethylene Production
持続可能な製品開発のための意思決定：エチレン生産のネットゼロ・エコシステム (AI 翻訳)
Ariane S.S. Pinto, Nalân Gülpınar, Elizabeth A. Gibson, Linsey Fuller, Philip Souter
🤖 gxceed AI 要約
日本語
本研究は、化学産業の脱炭素に資するCO2回収・利用（CCU）技術の早期評価を支援する統合フレームワークを提案。TEAとLCAに定性的リスク評価を組み合わせ、英国のエチレン生産を事例に分析し、CCU由来エチレンの炭素排出削減効果と経済性、政策的な支援策の必要性を示した。
English
This study proposes an integrated decision-making framework combining techno-economic assessment, life-cycle assessment, and qualitative risk assessment to evaluate CO2 capture and utilization (CCU) pathways for ethylene production. Using a UK case study, it shows CCU-derived ethylene can substantially reduce carbon footprints, with net-zero possible under optimistic assumptions using high-grade CO2, and identifies tax incentives and emission charges as key policy levers for deployment.
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
国内では化学産業のGXが課題であり、CCU技術の実装にはSSBJ開示やカーボンプライシング等の政策整合が求められる。本フレームワークは日本企業が新技術を初期段階で比較検討する際の参考となる。
In the global GX context
This contributes to global CCU scholarship by integrating qualitative deployment risks with TEA/LCA, addressing a gap in early-stage screening. The findings on policy levers and supply-chain configurations are relevant to ISSB/CSRD-aligned disclosure and transition finance discussions.
👥 読者別の含意
🔬研究者:Offers an integrated TEA-LCA-risk framework that bridges hard-to-quantify deployment barriers with performance metrics for CCU screening.
🏢実務担当者:Chemical firms can use this multi-criteria framework to compare CCU feedstocks and prepare the business case for net-zero product lines.
🏛政策担当者:Highlights tax incentives, premium pricing, and emission charges as effective levers to make CCU-derived chemicals economically viable.
📄 Abstract（原文）
High Resolution Image Download MS PowerPoint Slide Carbon capture and utilization technologies (CCUt) offer a promising route to reducing emissions from the chemical sector, yet large-scale deployment remains hindered by complex decisions involving technology maturity, economic feasibility, product life cycles, and supply chain integration. While techno-economic assessment (TEA) and life-cycle assessment (LCA) are widely applied to evaluate emerging CCUt, they rarely account for nonquantifiable deployment barriers such as policy uncertainty, regulatory alignment, and supply-chain maturity at early stages of development. This study addresses this gap by proposing an integrated decision-making framework that combines TEA, LCA, and a structured qualitative risk assessment to support early-stage screening and comparison of CCU-based ethylene production pathways under high uncertainty. The framework is demonstrated through a case study of ethylene production via electrocatalytic utilization of high- and low-purity CO 2 streams from industrial flue gases within the United Kingdom context. Results show that CCU-derived ethylene can substantially reduce product carbon footprints across multiple life-cycle impact categories, with outcomes strongly influenced by feedstock quality, allocation choices, energy prices, and policy strategies. High-grade CO 2, including biogenic sources, improves economic and environmental outcomes, achieving net zero emissions and a levelled cost of approximately 2.39 ± 0.34 USD kg −1 under optimistic assumptions. Although roughly 14% costlier than high-grade CO 2, post-combustion streams combined with CO−CO 2 utilization can yield net negative carbon footprints. Across scenarios, total emissions can be offset by 57−110% depending on supply-chain configuration (such as feedstock grade, allocation methods governing benefit, and burden sharing between CO 2 suppliers and users). Process improvements should prioritize energy efficiency, productivity, byproduct recovery, and the reduction of on-site emissions. To translate these performance ranges into deployment, tax incentives, premium pricing, and emission-related charges emerge as effective policy levers for economic viability, with outcomes sensitive to different market conditions. By integrating quantitative performance metrics with qualitative deployment risks, the proposed framework enabled transparent comparison of CCUt. Uncertainties regarding regulatory frameworks (e.g., certification and feedstock quality), data quality for scale-up, waste management practices for byproduct recovery, and supply chain level enablers were identified as key-challenges for industrial deployment.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1021/acssusresmgt.6c00052first seen 2026-08-02 18:41:08
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