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沼氣中CO2化學(xué)吸收傳質(zhì)性能分析與傳質(zhì)系數(shù)建模
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國家自然科學(xué)基金項目(51676080)和中央高校基本科研業(yè)務(wù)費專項資金項目(2015PY077)


Mass Transfer Performance and Modeling of CO2 Chemical Absorption from Simulated Biogas
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    摘要:

    以氣相總體積傳質(zhì)系數(shù)為指標(biāo),在亂堆鮑爾環(huán)填料吸收塔內(nèi)研究了乙醇胺(MEA)、二乙醇胺(DEA)、三乙醇胺(TEA)和哌嗪(PZ)4種典型吸收劑對模擬沼氣中CO2的吸收傳質(zhì)性能,考察了吸收劑濃度、吸收劑溫度、吸收劑體積流量、CO2負(fù)荷、氣體流量與CO2分壓的影響,并建立了MEA、DEA和PZ的氣相總體積傳質(zhì)系數(shù)的計算經(jīng)驗?zāi)P?。結(jié)果表明,相同吸收劑濃度條件下,PZ具有最優(yōu)的CO2傳質(zhì)性能,MEA和DEA次之,TEA最差。隨著吸收劑濃度的增加,除TEA外,其他3種吸收劑的氣相總體積傳質(zhì)系數(shù)均大幅增加,填料塔出口CO2體積分?jǐn)?shù)大幅下降,且MEA在3.27mol/L時可獲得最高的氣相總體積傳質(zhì)系數(shù)(1.37kmol/(m3·h·kPa));提升吸收劑體積流量、吸收劑溫度、氣體流量及降低吸收劑初始CO2負(fù)荷均可有效增加吸收劑的氣相總體積傳質(zhì)系數(shù),但CO2分壓變化對氣相總體積傳質(zhì)系數(shù)影響不顯著。最后,建立了MEA、DEA和PZ吸收劑的氣相總體積傳質(zhì)系數(shù)的計算經(jīng)驗公式,且氣相總體積傳質(zhì)系數(shù)的試驗值與計算值之間的絕對平均誤差均小于14%。

    Abstract:

    As one of the robust CO2 separation technologies, CO2 chemical absorption method can fully meet the requirement of CO2 capture from biogas, which is deserved to pay more attention. In a chemical absorption process, CO2 absorption always happens in a packed column called CO2 absorber, and therefore the mass transfer performance of CO2 absorption into absorbent is of importance for the design of absorber. However, the study on CO2 mass transfer characteristics and correlations in a packed column under the biogas circumstance is relatively rare. Therefore, the mass transfer performance of CO2 absorption into monoethanolamine (MEA), diethanolamine (DEA), triethanolamine (TEA) and piperazine (PZ) from the simulated biogas was investigated in a random pall ring packed column in terms of the overall gas phase volumetric mass transfer coefficient (KGav). Additionally, the effects of the key operation parameters, including absorbent concentration, temperature, liquid flow rate, CO2 loading, gas flow rate and CO2 partial pressure in gas on KGav values were experimented. Based on these influences, the empirical correlations of the operation parameters on KGav for MEA, DEA and PZ were erected. Results showed that PZ possessed the best CO2 mass transfer performance under the same conditions, followed by MEA, DEA and TEA. With the increase of absorbent concentration, KGav values of MEA, DEA and PZ were risen greatly. Accordingly, CO2 volumetric fractions in the gas exiting the absorber decrease gigantically. If CO2 volumetric fraction of the outlet gas less than 1% was targeted, the concentrations of MEA, DEA and PZ should be increased to 1.38mol/L, 1.43mol/L and 0.88mol/L, respectively. However, the KGav value of TEA was dropped slightly due to the increase of solvent viscosity. Among all the absorbents, MEA achieved the highest KGav value with about 1.37kmol/(m3·h·kPa) at 3.27mol/L. In addition, KGav values of all the absorbents tested were increased with the increase of liquid flow rate, liquid temperature and gas flow rate. However, the initial CO2 loading of absorbent had a negative impact on KGav. It should be noted that the influence of CO2 partial pressure in gas on KGav was not significant. Furthermore, the simplified empirical correlations for KGav as a function of the key operation parameters were proposed for MEA, DEA and PZ, and most of the calculated KGav values were in agreement with the experimental data with an absolute average deviation less than 14%. According to the individual degree of operation parameters on KGav, the rank order was liquid temperature, liquid flow rate, active MEA concentration and gas flow rate for MEA case. As for DEA, active DEA concentration was the most important, followed by liquid flow rate, gas flow rate and liquid temperature. And for PZ, the most important factor was the active PZ concentration, followed by liquid temperature, liquid flow rate and gas flow rate.

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晏水平,余歌,浦吉成,周洪亮,賀清堯,王明.沼氣中CO2化學(xué)吸收傳質(zhì)性能分析與傳質(zhì)系數(shù)建模[J].農(nóng)業(yè)機械學(xué)報,2018,49(7):311-318. YAN Shuiping, YU Ge, PU Jicheng, ZHOU Hongliang, HE Qingyao, WANG Ming. Mass Transfer Performance and Modeling of CO2 Chemical Absorption from Simulated Biogas[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(7):311-318.

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  • 收稿日期:2017-11-24
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  • 在線發(fā)布日期: 2018-07-10
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