Industrial Post-Combustion Carbon Capture: Strategies for Emission Control in Power Plants and Manufacturing Sectors
産業用燃焼後CO2回収：発電所および製造部門における排出制御戦略 (AI 翻訳)
U. S. Arachchige, W. C. Nirmal, G. Ishara
🤖 gxceed AI 要約
日本語
本論文は、セメント、鉄鋼、アルミニウム、石炭・ガス火力発電所向けの燃焼後CO2回収プロセスをAspen Plusでモデル化。各産業の再生エネルギー消費量を算出し、CO2除去効率とエネルギーペナルティのトレードオフを定量化した。産業別のエネルギー負荷を示し、コスト効率の高いCCS導入指針を提供する。
English
This study models post-combustion carbon capture processes for cement, steel, aluminum, and coal/gas-fired power plants using Aspen Plus. It calculates regeneration energy requirements for each industry, highlighting the trade-off between CO2 removal efficiency and energy demand. Results provide industry-specific energy penalties, guiding cost-effective CCS 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
日本ではCCSがGX実現に向けた重要技術に位置づけられており、本論文の産業別エネルギーデータは国内の鉄鋼・セメント・電力各社のコスト試算や政策検討に活用できる。特にアミン法回収の効率化は、日本の共同CCSプロジェクトに示唆を与える。
In the global GX context
Global climate targets rely on CCS; this paper provides crucial industry-specific benchmarks for energy penalties, informing technology selection and policy design. The results can help optimize CCS integration in high-emission sectors worldwide, aligning with IEA and IPCC pathways.
👥 読者別の含意
🔬研究者:Provides baseline energy requirements for MEA-based PCC across five major industrial sectors, useful for process optimization studies.
🏢実務担当者:Helps industrial plant operators estimate energy penalties and evaluate feasibility of retrofitting existing facilities with PCC.
🏛政策担当者:Offers quantitative data to design sector-specific incentives for CCS adoption and to assess energy system impacts.
📄 Abstract（原文）
Among the biggest contributors to worldwide CO 2 emissions are industrial sectors like cement, steel, aluminum, and coal- and gas-fired power generation. A promising technique for reducing emissions from these industries is post-combustion carbon capture (PCC), which uses solvents based on amines and can be easily integrated into existing infrastructure. This study develops and simulates PCC process models in Aspen Plus for five industrial case studies, aiming to minimize the energy requirements for regeneration. To assess absorber–stripper configurations, operational circumstances, and flue gas compositions were taken into consideration. Monoethanolamine (MEA) was used as the solvent, and 85% of CO 2 was captured using the ELECNRTL property technique. Regeneration energy requirements for gas-fired, coal-fired, cement, steel, and aluminum sectors are 3680, 3530, 3200, 3400, and 3020 kJ/kg, respectively, according to the results, which show that reboiler duty is highly dependent on flue gas flow rate and CO 2 concentration. The results emphasize the necessity of optimal solvent flow and heat integration methodologies by highlighting the trade-off between CO 2 removal efficiency and energy demand. This work contributes to the creation of cost-effective CCS deployment routes that are essential for fulfilling climate targets and lowering industrial carbon footprints by measuring industry-specific energy penalties.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1051/e3sconf/202671406002first seen 2026-06-11 05:15:46
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