4.7 Article

Pre-combustion CO2 capture using amine-based absorption process for blue H2 production from steam methane reformer

期刊

ENERGY CONVERSION AND MANAGEMENT
卷 262, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2022.115632

关键词

Pre-combustion CO 2 capture; Methyl diethanolamine; piperazine-based ab-sorption; Steam methane reformer; Artificial neural network model-based optimization

资金

  1. National Research Foundation of Korea (NRF) - Ministry of Science and ICT [2019K1A4A7A03113187]
  2. Korea Institute of Energy Technology Evaluation and Planning (KETEP)
  3. Ministry of Trade, In-dustry & Energy (MOTIE) of the Republic of Korea [20214710100060]
  4. Korea Institute of Energy Technology Evaluation & Planning (KETEP) [20214710100060] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

A novel pre-combustion CO2 capture process using methyl diethanolamine with piperazine was investigated for blue H2 production from a steam methane reformer. The sensitivity analysis and optimization method showed that the process is competitive in terms of energy consumption and efficiency, providing a guideline for CO2 absorption at high feed pressures.
A novel pre-combustion CO2 capture process using methyl diethanolamine with piperazine (MDEA/PZ) was investigated for the production of blue H2 from a steam methane reformer (SMR). A sensitivity analysis was performed at various operating parameters (such as MDEA or PZ concentration, flash drum pressure, CO2 loading in a lean-amine solvent, and CO2 removal efficiency) using a validated rate-based model. The energy consumption to capture CO2 from SMR gas at 21 bar was evaluated, including the compression energy (up to 30 bar) for the dehydration of captured CO2. For 90% and 95% CO2 removal efficiency, reboiler duties were 1.318 GJ/ tonCO(2) and 1.364 GJ/tonCO(2), and CO2 compression works were 11.673 kW/molCO(2) and 11.615 kW/molCO(2). The results indicated more than 40% lower reboiler duty than the energy consumption of conventional CO2 capture processes in post-combustion. Subsequently, artificial neural network model (ANN)-based optimization using the differential evolution method was performed. The developed ANN-based optimization suggested the possibility of additional 0.3 % reduction in the equivalent work at a low computational cost. The results indicated that the developed pre-combustion CO2 capture for a SMR was highly competitive in industrial applications. Moreover, the H-2 mixture produced at 21 bar is beneficial for a H2 recovery unit because of no need for additional compression energy. Therefore, the MDEA/PZ-based absorption process can effectively contribute to centralized or semi-central blue H-2 production from a SMR. This study provides a guideline for the feasible optimization and control of the CO2 absorption process at high feed pressures.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据