Process Optimization and Energy Consumption Analysis of Continuous Carbon Dioxide Recovery Unit
連続二酸化炭素回収ユニットのプロセス最適化とエネルギー消費分析 (AI 翻訳)
Haoyang Cao, Shaojing Zhang, Xuliang Zhang
🤖 gxceed AI 要約
日本語
本論文は化学吸収法による連続CO₂回収ユニットを対象に、プロセス解析と多目的最適化を実施。吸収剤組成、再生塔の熱カスケード利用、運転パラメータの協調最適化により、回収エネルギー消費を4.21から3.38 GJ/tCO₂へ19.7%削減し、回収率95%以上、ユニット消費電力を15.3%低減した。
English
This paper studies a chemical absorption continuous CO₂ recovery unit, proposing a multi-objective optimization method using superstructure modeling. By optimizing absorbent formulation, heat cascade utilization, and operating parameters, regeneration energy consumption was reduced from 4.21 to 3.38 GJ/tCO₂ (19.7% decrease), capture rate exceeded 95%, and unit power consumption dropped by 15.3% in a 30,000-ton/year industrial case.
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
日本は2050年カーボンニュートラル目標達成に向けCCUS技術の実用化を推進しており、本研究成果は回収プロセスのエネルギー効率向上に資する実証データを提供。特に、アミン吸収法の運用最適化は、日本の大規模CO₂回収設備の設計・運用に直接応用可能。
In the global GX context
CCUS is critical for global net-zero goals. This paper provides concrete evidence of energy consumption reduction (19.7%) in a CO2 capture unit through process optimization, offering a replicable technical pathway applicable to industrial-scale capture plants worldwide.
👥 読者別の含意
🔬研究者:Provides a validated multi-objective optimization framework and case study data for CCUS process improvement.
🏢実務担当者:Demonstrates achievable energy savings (19.7% reduction in reboiler duty) and operational insights for CO2 capture plant operators.
🏛政策担当者:Supports policy incentives for CCUS deployment by quantifying energy efficiency gains and technology maturity.
📄 Abstract（原文）
: Carbon capture, utilization, and storage (CCUS) is a key technology for achieving carbon neutrality, but the energy consumption of continuous CO₂ recovery units has always been a core bottleneck restricting their large-scale application. This paper takes a chemical absorption continuous CO₂ recovery unit as the research object, systematically analyzes the process principle and energy consumption composition of the unit, and proposes a multi-objective process optimization method based on superstructure modeling. Through the synergistic optimization of absorbent formulation, heat cascade utilization of regeneration tower, and operating parameters, a dual - objective optimization model with capture energy consumption and product yield as objectives is establishe d. Taking a 30,000-ton/year industrial-grade unit as a case study, the changes in key process parameters before and after optimization are analyzed, revealing the coupling relationship between parameters such as regeneration temperature, liquid-to-gas ratio, and lean liquid load and energy consumption. The results show that after optimization, the regeneration energy consumption of the unit decreased from 4.21 GJ/tCO₂ to 3.38 GJ/tCO₂, a decrease of 19.7%, the capture rate increased to over 95%, and the unit product power consumption decreased by 15.3%. The research results provide a theoretical basis and technical path for energy saving and consumption reduction in continuous CO₂ recovery units.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.25236/ijfet.2026.080206first seen 2026-06-10 05:35:53
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