Mass Transfer (Absorption) Coefficients Prediction from Data on Heat Transfer and Fluid Friction

Chilton, Thomas H.; Colburn, A. P.

doi:10.1021/ie50299a012

Cited by 961 publications

(283 citation statements)

References 4 publications

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“…where h GL is the gas-liquid heat transfer coefficient in kJ/m 2 s, ∆H rxn is the heat of reaction between MEA and CO 2 in kJ/m 3 s and ∆H vap is the heat of vaporization of H 2 O in kJ/m 3 s. The gas-liquid heat transfer coefficient was determined using the Chilton-Colburn analogy [25].…”

Section: Heat and Mass Transfer Ratesmentioning

confidence: 99%

Improving Flexibility and Energy Efficiency of Post-Combustion CO2 Capture Plants Using Economic Model Predictive Control

Decardi‐Nelson

Liu

2018

Processes

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Abstract:To reduce CO 2 emissions from power plants, electricity companies have diversified their generation sources. Fossil fuels, however, still remain an integral energy generation source as they are more reliable compared to the renewable energy sources. This diversification as well as changing electricity demand could hinder effective economical operation of an amine-based post-combustion CO 2 capture (PCC) plant attached to the power plant to reduce CO 2 emissions. This is as a result of large fluctuations in the flue gas flow rate and unavailability of steam from the power plant. To tackle this problem, efficient control algorithms are necessary. In this work, tracking and economic model predictive controllers are applied to a PCC plant and their economic performance is compared under different scenarios. The results show that economic model predictive control has a potential to improve the economic performance and energy efficiency of the amine-based PCC process up to 6% and 7%, respectively, over conventional model predictive control.

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Section: Heat and Mass Transfer Ratesmentioning

confidence: 99%

Improving Flexibility and Energy Efficiency of Post-Combustion CO2 Capture Plants Using Economic Model Predictive Control

Decardi‐Nelson

Liu

2018

Processes

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“…3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 and =1/3 (also for Re>40000). The theoretical study for a turbulent boundary layer using the Chilton-Colburn analogy [54], following the approach of Eckert and Jackson (1951) [55], gives =0.8 and =1/3. The fit of experimental data for mass transfer coefficients establishes that for 8000 < Re < 32000 =0.567 while =0.746 for 32000 < Perry's Handbook gives [46] values for (0.65, 0.70) (using Rousseau as reference [56]) and α=0.785 citing Blatt [57].…”

Section: Reynolds Numbermentioning

confidence: 99%

Pore size analysis from retention of neutral solutes through nanofiltration membranes. The contribution of concentration–polarization

et al. 2014

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Pore size distribution is one of the most important characteristics of a membrane.This can be obtained from the fitting of pore radius calculated from retention versus flux measurements for a set of solute solutions. In this work a set of non-charged similar molecules are chosen as solutes to minimize other interactions apart of those related to size. The hydrodynamic model will be used to characterize the behavior of the membrane to uncharged solutes, assuming that membrane pores are straight and cylindrical.As is known, the phenomenon of concentration polarization must be taken into account because true retention is not experimentally accessible by concentration measurements. Frequently, the film layer model is applied for the dependence of

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“…For turbulent flow, Reynold's number >5000: the average heat transfer coefficient was calculated using the Chilton-Colburn analogy [23] with the Churchill friction factor [24]. The pressure drop was calculated using Zigrang and Sylvester [25].…”

Section: Control Volume Definition and Governing Equationmentioning

confidence: 99%

Exergoeconomic optimization of coaxial tube evaporators for cooling of high pressure gaseous hydrogen during vehicle fuelling

Jensen

Rothuizen

Markussen

2014

Energy Conversion and Management

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Mass Transfer (Absorption) Coefficients Prediction from Data on Heat Transfer and Fluid Friction

Cited by 961 publications

References 4 publications

Improving Flexibility and Energy Efficiency of Post-Combustion CO2 Capture Plants Using Economic Model Predictive Control

Improving Flexibility and Energy Efficiency of Post-Combustion CO2 Capture Plants Using Economic Model Predictive Control

Pore size analysis from retention of neutral solutes through nanofiltration membranes. The contribution of concentration–polarization

Exergoeconomic optimization of coaxial tube evaporators for cooling of high pressure gaseous hydrogen during vehicle fuelling

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