利用Aspen Plus开发基于验证速率的2-氨基-2-甲基-1-丙醇和哌嗪水溶液中CO2吸收模型

IF 5.3 3区 工程技术 Q2 ENERGY & FUELS
Diego Morlando, , , Ying Zhang, , , Shu Wang, , and , Hanna K. Knuutila*, 
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引用次数: 0

摘要

在这项工作中,我们建立了一个新的e-NRTL热力学框架,用于在Aspen Plus中2-氨基-2-甲基-1-丙醇(AMP)和哌嗪(PZ)的水相混合物中吸收CO2。在AMP浓度为12 ~ 48质量%、PZ浓度为2 ~ 26质量%、温度为20 ~ 160℃、CO2负荷为0 ~ 1.03 molCO2molAMP+molPZ的条件下,建立了e-NRTL AMP/PZ/H2O/CO2模型。该模型预测的CO2溶解度(CO2分压)在AMP/PZ水溶液上的绝对平均相对偏差(AARD)为26.3%,体系总压AARD值为7.0%,CO2吸收热AARD值为10.2%,估计的游离CO2浓度AARD值为13.1%。该模型很好地描述了液体形态随CO2负荷和胺浓度的变化。该模型在相关的吸收剂、汽提剂和水洗胺浓度和温度下,很好地预测了CO2在AMP/PZ水溶液中的溶解度。开发的e-NRTL模型结合了传质和二氧化碳吸收动力学模型,在两个试点项目中得到了验证:一个在Kaiserslautern大学,另一个在Mongstad技术中心。所开发的基于速率的模型在5%的绝对平均相对偏差范围内预测CO2捕获、富负荷和比再沸器负荷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Validated Rate-Based Model for CO2 Absorption in Aqueous 2-Amino-2-methyl-1-propanol and Piperazine Blends Using Aspen Plus

In this work, we developed a new e-NRTL thermodynamic framework for CO2 absorption in aqueous mixtures of 2-amino-2-methyl-1-propanol (AMP) and piperazine (PZ) in Aspen Plus. The e-NRTL AMP/PZ/H2O/CO2 model was fitted on experimental data covering a range of AMP concentration from 12 to 48 mass % and PZ concentration from 2 to 26 mass %, temperature from 20 to 160 °C and CO2 loading from 0 to 1.03 molCO2molAMP+molPZ. The model predicts the CO2 solubility, as partial pressure of CO2, over aqueous AMP/PZ solutions within an absolute average relative deviation (AARD) of 26.3%, the total pressure of the system with an AARD value of 7.0%, the heat of absorption of CO2 with an AARD value of 10.2%, and the estimated free CO2 concentration with an AARD value of 13.1%. The model gives a good representation of liquid speciation as a function of the CO2 loading and amine concentration. The model shows good predictions of the CO2 solubility over aqueous AMP/PZ solutions at relevant absorber, stripper and water wash amine concentrations and temperatures. The developed e-NRTL model, in combination with mass transfer and CO2 absorption kinetics modeling, is validated with two pilot campaigns: one at the University of Kaiserslautern and one at the Technology Centre of Mongstad. The developed rate-based model predicts the CO2 capture, rich loading, and specific reboiler duty within 5% absolute average relative deviation.

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来源期刊
Energy & Fuels
Energy & Fuels 工程技术-工程:化工
CiteScore
9.20
自引率
13.20%
发文量
1101
审稿时长
2.1 months
期刊介绍: Energy & Fuels publishes reports of research in the technical area defined by the intersection of the disciplines of chemistry and chemical engineering and the application domain of non-nuclear energy and fuels. This includes research directed at the formation of, exploration for, and production of fossil fuels and biomass; the properties and structure or molecular composition of both raw fuels and refined products; the chemistry involved in the processing and utilization of fuels; fuel cells and their applications; and the analytical and instrumental techniques used in investigations of the foregoing areas.
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