Simulation and Experimental System Terner Aseton-Butanol-Ethanol with Batch Distillation

Size: px
Start display at page:

Download "Simulation and Experimental System Terner Aseton-Butanol-Ethanol with Batch Distillation"

Transcription

1 Strengthenng Basc Scences and Technology for Industral Sustanablty Smulaton and Expermental System Terner Aseton-Butanol-Ethanol wth Batch Dstllaton N Ketut Sar Departement of Chemcal Engneerng, Industral Technolog Faculty UPN Veteran East Java E-mal: sar_ketut@yahoo.com ABSTRACT Result of Aseton-Butanol-Ethanol (ABE) terner system smulaton (ABE) n the form of temperature profle, lquda composton profle and vapour n bottom utlzed as reference n ABE terner system experment, wth komparas result of ABE terner system experment and smulaton wll know how far devaton obtaned. For the dssocaton of ABE terner system done by research smulatonly before done by research expermentally, so that n determnaton of research varable can more drectonal and expense of cheaper research. Smulaton of ABE terner system by batch dstllaton use rgorous method, model DAEs and Matlab Ianguage. Result of from ABE terner system smulaton later then comparaton use Metanol-Ethanol-Propanol (MEP) terner system whch formng homolog deret. Usage of MEP terner system n ABE terner system comparaton, because MEP terner system mxture predcton form zeotropk mxture. Result of smulaton n the form of temperature profle, lquda composton profle and vapor composton profle functon of tme dmensonless () ether n bottom and also[n dstlate. Is afterwards done by ABE terner system experment wth operatng pressure 1 atmospher, ABE mxture volume 350 ml, ABE feed composton :, 0.1, 0.1 ( mole fracton) and : 0, 1, 2,3. Result of ABE terner system smulaton comparaton wth MEP terner system come near result whch same and show zeotropk mxture. Result of experment and smulaton n the form of temperature profle, lquda composton profle and vapor composton profle tme dmensonless functon ether n bottom and also n dstlate show result come near s samely. So that ABE terner system smulaton after comparaton wth MEP terner system can wear by reference n ABE terner system experment Keyword : tme dmensonless,batch dstllaton, eksperment, smulaton, zeotropk 1. INTRODUCTION In the chemcal ndustry, the fermentaton process s one way to get a chemcal compound wth the help of mcroorgansms, fermentaton products enter the next stage of separaton. At ths stage t s very mportant to produce a product wth a certan purty, one of the tools commonly used n the separaton process s a batch dstllaton column. Separaton process n the ndustry generally and the separaton of multcomponent separaton rarely bnary, therefore t s mportant to revew the multcomponent batch dstllaton. Desgn of mult-component batch dstllaton s generally obtaned by performng smulatons, n order to obtan smulaton results are close to the actual state of the requred thermodynamc data are accurate. In the process of separaton, thermodynamc data of the most domnant nfluence on the process performance s the equlbrum phase. One of the modern thermodynamc correlaton n mempersentaskan behavor s not deal mxture UNIQUAC equaton, the approxmate equlbrum ternary and quaternary systems can be done only based on expermental data of bnary systems. Actvty coeffcent models wth UNIQUAC equaton was developed from a bnary mxture, and has advantages for applcatons n mult-component mxture system because t only requres a bnary parameter (does not requre addtonal parameters). But the loss model does not always succeed n predctng the equlbrum multcomponent system that shows a mxture whch s not deal especally for mxtures that have a spouse wth lmted solublty such as butanol-water. To overcome these measurement data needed to accurately balance the bnary system and model parameters estmaton of actvty coeffcent models so that these parameters can be used to estmate the vapor-lqud equlbrum multcomponent systems accurately. From the smulaton results obtaned ternary system, to see the profle of the movement of the composton of lquda on the bottom then drawn n the form of resdue curve maps. From the resdue curve maps the ternary system can be known whether they form a ternary mxture zeotropk or azeotropc mxtures. Of the azeotropc mxture can be dvded nto homogeneous azeotropc mxtures and heterogeneous azeotropc mxtures. For homogeneous azeotropc mxture after separaton of the results obtaned form a sngle phase and azeotropnya pont does not le n Lqud-Lqud-Equlbrum (Mademoselle), whle for heterogeneous azeotropc mxture after separaton of the results obtaned form more than one phase and AII.4-1

2 Strengthenng Basc Scences and Technology for Industral Sustanablty azeotropnya pont s at Mademoselle. Then further developed for mult-component systems, namely n the form of resdue curve maps of homogeneous and heterogeneous azeotropc mxture, the movement of the composton profle n the resdue s formed lquda zeotropk or azeotropc mxtures. Ternary systems such as sopropanol-water-benzene to form a pseudohomogeneous azeotropc mxtures have been studed by Pham and Doherty (1990). Ternary systems such as chloroform-benzene-acetone (Fdkowsk et al. 1993), acetone-heptane-benzene (Henley and Seader, 1998), acetone-water-metyl ethyl ketone (Vllers et al. 2002) and sopropanol-methyl cyclohexane-toluene (Egbewatt and Fletcher 2003) to form a homogeneous azeotropc mxtures. Other ternary systems that form the heterogeneous azeotropc mxtures such as ethanolwater-benzene (Henley and Seader, 1998), ethanolwater-toluene (Henley and Seader, 1998). Other ternary systems such as ntrogen-argon-oxygen mxture wthout formng azeotropc or zeotropk, octane-2- ethoxy ethanol to form ethyl benzene azeotropc bnary system, acetone-chloroform-methanol to form bnary and ternary azeotropc system (Wdagdo and Seder 1996). From the results of prevous research, no one has made a map of resdue curves for ternary mxtures ABE. From the resdue curve maps obtaned and valdated, the valdaton of the topologcal relatons. To valdate the topologcal relatons usng the equaton that already exst n the lterature (Henley and Seader, 1998). To determne whether the program lstng the ternary system smulaton s generally applcable, then valdated based on data from the lterature. Many ternary systems that already exst n the lterature or ournals that can be used for valdaton ABE ternary system, one of the ternary system used s a mxture that forms the ternary system zeotropk the MEP. 2. STRUCTURE OF WRITING At low pressure, the vapor phase so close to the deal gas low pressure lqud vapor equlbrum becomes: y. P γ... (1) x.p Equaton (1) s also known as the modfed Raoult's equaton. The constant of equlbrum between the vapor phase and lqud phase s defned as follows: y γ.p K... (2) x P Iteraton procedure to fnd the temperature of whch s to seek prce bubble uraton temperature of pure component T on P (Prausntz et al., 2001). T B C A - log P... (3) where A, B, C are Antone constants for speces, for all ntal estmates. T x T... (4) For = 1, 2, 3. Prce T as the ntal prce wll be used to determne the urated vapor pressure of a substance to be estmated wth the equaton T Antone.Sedangkan prces were sought by the equaton: B T C... (5) A - log P 1 Then look for the error between the new T wth T the begnnng wth Equaton (6) (T new T T new begnnng ) e γ actvty coeffcents obtaned from: ln = ln C ln C = φ ln x z q 2 ln... (6) R + ln... (7) θ φ m x... (8) φ x 1 ln R =q m m θ τ 1 ln θ τ... (9) m 1 1 θ τ k1 k k z (r q) (r 1)... (10) 2 where the coordnaton number z s set equal to 10. x r φ... (11) m x r 1 q x θ m... (12) 1 q x The parameters r, q s a constant component of the molecular structure based purely on molecular sze and external surface area. For each bnary combnaton n mult-component AII.4-2

3 Strengthenng Basc Scences and Technology for Industral Sustanablty mxtures, there are two parameters that can be adusted r, q: τ u u exp... (13) RT = = 1 Model-Dfferental-Algebrac Equatons (DAEs) for batch dstllaton of ternary system, assumng t does not form a two phase lquda by Doherty and Perkns (1978) as follows: - dx dξ... (14) ( x - y ) W o ξ ln... (15) W Wth a forward-fnte-dfference, Equaton (15) becomes: Tabel 3.3 Parameter UNIQUAC ABE system terner Komponen r q Aseton Butanol Ethanol Source: Prausntz, 2001 Dmana : Aseton (1), Butanol (2), Ethanol (3) u 11 = 0 ; u 12 = -198,659 ; u 13 = 98,75291 u 21 = 453,669 ; u 22 = 0 ; u 23 = -32,707 u 31 = 94,242 ; u 32 = 75,355 ; u 33 = 0 Valdaton of smulaton results wth the ternary system MEP Table 3.4. MEP feed composton x,+1 = x, + (y, x, )... (16) Where the composton of the early lquda on the bottom (x, ) and determned, whle the composton of the vapor (y, ) s calculated usng Equaton BUBL T (Prausntz, 2001). 3. METHODOLOGY To calculate the urated vapor pressure Antone equaton s used, data Antone parameters such as Table 3.2. (Prausntz, 2001), where the temperature (T) n unts of K and urated vapor pressure (PSAT) n unts of Bar. To calculate the actvty coeffcent (γ) usng the UNIQUAC equaton, where the prce of UNIQUAC bnary nteracton parameters (u), the volume of molecular data (r) and molecular surface area (q) Table 3.3, the assumpton z = 10. Sources: Henley and Seader, 1998 To calculate the urated vapor pressure Antone equaton used Table 3.5. Antone parameters MEP Parameter Antone Komponen A B C Metanol Ethanol Propanol Sources: Prausntz, 2001 Table 3.1. ABE feed composton Table 3.2. Antone parameters ABE Parameter Antone Komponen A B C Aseton Butanol Ethanol Source: Prausntz, 2001 Fgure 3.1. Batch dstllaton algorthm AII.4-3

4 Temperatur ( C) Koefsen Aktftas ARTICLES BALI INTERNATIONAL SEMINAR ON SCIENCE AND TECHNOLOGY 2011 Strengthenng Basc Scences and Technology for Industral Sustanablty Fgure 3.2. A set of batch dstllaton equpment Capton: 1. Pot Stll 8. Thermometer 2. Ol batch 9. glasses Measure 3. Heater 10. condenser 4. Thermocouple 11. thermocouple RTD 5. Controller 12. column separator 6. Contactor 13. packed column 7. regulators 7. Regulator 4. RESULTS AND DISCUSSIONS Temperature profle at the bottom shows the results of the approach wth temperatures n the dstllate, because the smple batch dstllaton processes operate n condtons of total reflux. Therefore the temperature profle as Fgure 4.1 smulaton results s the sum of the -component temperature after normalzaton multpled n the bottom component of the composton of lquda-. From Fgure 4.1 shows the temperature profle for Run ABE-1 to Run-6 as a whole rose aganst the dmensonless tme. Ths s because the components are evaporated wth a larger porton s a component of ethanol, so t takes a larger temperature to evaporate the water component that has not evaporated. composton on the nfluence of ethanol actvty coeffcent maxmum at dmensonless tme showed 1.75, after whch profles a constant declne n the end. The bgger the bat nto the water composton showed a steeper slope of declne n temperature, because the composton of the bat nto the water greatly affects the temperature of the mxture of ethanol-water-hcl, the greater the ncomng feed water composton at the hgher temperature of the mxture. For regon 2 the temperature profle rses for all the runs, the greater the ethanol composton n feed entry shows the temperature rse slope s more gentle. Ths s because the composton of the feed nto ethanol greatly affects the temperature of the mxture of ethanol-water-hcl, the greater the ethanol composton n feed mxture nto a temperature become smaller. For regon 3 the temperature profle rses and some constant, for the temperature profle rses mean the separaton of a mxture of ethanol-water-hcl stll exst that have not teruapkan ethanol, whle for constant composton profle ndcates that t s all teruapkan ethanol. The greater the composton of ncomng feed water at the temperature of the mxture the greater and faster the temperature profle constant. For the dmensonless tme of 3.5 the temperature profle has not been constant, so the dmensonless tme requred to obtan a larger constant temperature profle. If a smple batch dstllaton contnued untl the dmensonless tme s very large, then the value wll be the composton of each mxture s negatve, ths s not desred Dmensonless Waktu Dmensonless Waktu Fgure 4.1 Profle of the temperature of the ternary system of ABE for Run-1 to Run-7 Fgure 4.2 Profle of the actvty coeffcent of the ternary system of ABE From Fgure 4.3 shows the composton profle n the bottom lquda, the composton of ethanol shows the composton profle decreases from the ntal composton and the composton of the water showed up from the ntal composton profle. From Fgure 4.2 s dvded nto 3 regons, for regons 1 shows the profle of water actvty coeffcent decreases and the actvty coeffcent of ethanol rses, so does not affect the temperature profle. Fgure 4.2 shows that the larger the ncomng feed water AII.4-4

5 Temperatur ( C) Komposs Lquda d Bottom (fraks mol) Komposs Uap d Bottom (fraks mol) ARTICLES BALI INTERNATIONAL SEMINAR ON SCIENCE AND TECHNOLOGY 2011 Strengthenng Basc Scences and Technology for Industral Sustanablty Dmensonless waktu Fgure 4.3. Lquda composton profles n ternary systems ABE Bottom Run-1 Because ethanol s a component of volatle components whle the water component s non-volatle components, as a smple batch dstllaton process of ethanol component n a larger porton s evaporated and the remanng components of the water. Component of pure water has not been approached wth a dmensonless tme of 3.5; one way to get more pure water component of the ntal composton s to enlarge the composton of the feed water to enter. Fgure 4.4. shows the vapor composton profles at total reflux for a bottom after the composton of ethanol contnues to declne, whle the composton of the water contnues to rse. Ths dsebakan because volatle components were evaporated n a larger porton and the rest are non-volatle components, after a smple batch dstllaton process takes place then the non-volatle components are evaporated n a larger porton. Components of ethanol has not evaporate all at dmensonless tme 3.5; one way to obtan the components of ethanol n the dstllate wth a smaller dmensonless tme s to enlarge the composton of the feed water to enter. Vapor composton profles at the bottom of small composton of ethanol on the feed entry, the greater the total composton of ethanol at reflux, ths s due to a hgh temperature so that the mxture of non-volatle components evaporate more. Vapor composton profles at total reflux for a bottom after the composton of ethanol contnues to declne, whle the composton of the water contnues to rse. Ths dsebakan because volatle components were evaporated n a larger porton and the rest are nonvolatle components, after a batch dstllaton process takes place then the non-volatle components are evaporated n a larger porton. Components of ethanol all teruapkan at dmensonless tme shows the value of 2.25; Run-7 requres a smaller dmensonless tme to obtan a more pure ethanol component of ethanol component of the ntal 1,0 0,9 0,8 0,7 0,6 0,5 0,4 0,3 0,2 0,1 0,0 0,0 0,5 1,0 1,5 2,0 2,5 3,0 3,5 Dmensonless Waktu Fgure 4.4. Vapor composton profles n ternary systems ABE Bottom Run-1 Temperature profle at the bottom shows the results of the approach wth temperatures n the dstllate, because the smple batch dstllaton processes operate n condtons of total reflux. Therefore the temperature profle as Fgure 4.5 smulaton results s the sum of the -component temperature after normalzaton multpled n the bottom component of the composton of the lquda-. From Fgure 4.5 shows the temperature profle for Run MEP-1 to Run-6 as a whole rose aganst the dmensonless tme. Ths s because the components are evaporated wth a larger porton s a component of ethanol, so t takes a larger temperature to evaporate the water component that has not evaporated Dmensonless waktu Fgure 4.5 Profle of the temperature of the ternary system of MEP for Run-1 to Run-6 From Fgure 4.6 s dvded nto 3 regons, for regons 1 shows the profle of water actvty coeffcent decreases and the actvty coeffcent of ethanol rses, so does not affect the temperature profle. Fgure 4.6 shows that the larger the ncomng feed water composton on the nfluence of ethanol actvty coeffcent maxmum at dmensonless tme showed 1.75, after whch profles a constant declne n the end. The bgger the bat nto the water composton showed a steeper slope of declne n temperature, because the composton of ncomng feed water at the temperature of the mxture greatly affects the MEP, the greater the ncomng feed water composton at the hgher temperature of the mxture. For regon 2 the temperature profle rses for all the runs, the greater the ethanol composton n feed AII.4-5

6 Komposs lquda d bottom (fraks mol) Komposs lquda d bottom (fraks mol) Koefsen Aktftas ARTICLES BALI INTERNATIONAL SEMINAR ON SCIENCE AND TECHNOLOGY 2011 Strengthenng Basc Scences and Technology for Industral Sustanablty entry shows the temperature rse slope s more gentle. Ths s because the composton of the feed nto ethanol greatly affects the temperature of the mxture of ethanol-water-hcl, the greater the ethanol composton n feed mxture nto a temperature become smaller. For regon 3 the temperature profle rses and some constant, for the temperature profle rses mean the separaton of a mxture of ethanol MEP stll exst that have not teruapkan, whle for constant composton profle ndcates that t s all teruapkan ethanol. The greater the composton of ncomng feed water at the temperature of the mxture the greater and faster the temperature profle constant. For the dmensonless tme of 3.5 the temperature profle has not been constant, so the dmensonless tme requred to obtan a larger constant temperature profle. If a smple batch dstllaton contnued untl the dmensonless tme s very large, then the value wll be the composton of each mxture s negatve, ths s not desred Dmensonless Waktu Fgure 4.6. Ternary system actvty coeffcent profle MEP From Fgure 4.7 shows the composton profle n the bottom lquda, the composton of ethanol shows the composton profle decreases from the ntal composton and the composton of the water showed up from the ntal composton profle. Because ethanol s a component of volatle components whle the water component s non-volatle components, as a smple batch dstllaton process of ethanol component n a larger porton s evaporated and the remanng components of the water. Component of pure water has not been approached wth a dmensonless tme of 3.5; one way to get more pure water component of the ntal composton s to enlarge the composton of the feed water to enter Dmensonless Waktu Fgure 4.7. Composton profles n the bottom lquda MEP ternary system Run-1 Fgure 4.8. shows the vapor composton profles at total reflux for a bottom after the composton of ethanol contnues to declne, whle the composton of the water contnues to rse. Ths dsebakan because volatle components were evaporated n a larger porton and the rest are non-volatle components, after a smple batch dstllaton process takes place then the non-volatle components are evaporated n a larger porton. Ethanol components have not evaporate all at dmensonless tme 3.5; one way to obtan the components of ethanol n the dstllate wth a smaller dmensonless tme s to enlarge the composton of the feed water to enter. Vapor composton profles at the bottom of small composton of ethanol on the feed entry, the greater the total composton of ethanol at reflux, ths s due to a hgh temperature so that the mxture of non-volatle components evaporate more. Vapor composton profles at total reflux for a bottom after the composton of ethanol contnues to declne, whle the composton of the water contnues to rse. Ths dsebakan because volatle components were evaporated n a larger porton and the rest are nonvolatle components, after a batch dstllaton process takes place then the non-volatle components are evaporated n a larger porton. Components of ethanol all teruapkan at dmensonless tme shows the value of 2.25; Run-7 requres a smaller dmensonless tme to obtan a more pure ethanol component of ethanol component of the ntal Dmensonless Waktu Fgure 4.8. Vapor composton profles n ternary systems bottom MEP Run-1 bl... AII.4-6

7 Strengthenng Basc Scences and Technology for Industral Sustanablty Fgure 4.9 Profle of the temperature of the ternary system of ABE for Run-1, Run-7 smulaton results and expermental Fgure Lquda composton profles n ternary systems bottom ABE-1 Run the smulaton and expermental results 5. CONCLUSION 1. Ethanol-Water temperature profle-hcl as a whole rose aganst the dmensonless tme, except at the begnnng of the process shows the temperature profle decreases, due to the nature of the characterstcs of the mxture. 2. Lquda composton profles of ethanol n the bottom seteleh process shows the composton of a mnmum of ethanol, after the process s complete profle constant composton 3. Ethanol vapor composton profles n the bottom seteleh process showed a maxmum ethanol composton, once the process s complete profle constant composton. 4. Resdue curve map at bottom shows azeotropc mxture, between the smulaton and valdaton results showed that close to the same profle Acknowledgments To the Drectorate General of Hgher Peddkan Mnstry of Natonal Educaton (Drectorate General of Hgher DP2M) Compettve Grant n 2009, whch has funded ths research. 6. REFERENCES [1] Fesser and Fsser, (1963), "Introducton to Chemstry Organc ", Dhwantara, Bandung. [2] Judoamdoo, Mulyono, (1992), "Fermentaton Technology", Raawal Press Jakarta [3] Krk Othmer, "Encyclopedya of Chemcal Technology", Vol. 8, John Wleys nd Sons. Inc. [4] Sardoko, (1991), "Botechnology", Grameda, Jakarta. [5] N. Sar K., Kuswand, Nonot S., Renanto Handogo, (2006), "Comparson of resdue curve maps the ternary system ABE Wth Methanol- Ethanol-1-Propanol", Journal REACTORS, Department of Chemcal Engneerng Dponegoro Semarang, Vol. 13, No. 2. [6] Sar N. K., Kuswand, Nonot S., Renanto Handogo, (2007), "Separaton of Ethanol-Water Bnary Systems and ternary systems ABE Wth Smple Batch Dstllaton", Journal INDUSTRIAL Journal of Scence and Technology, Faculty of Industral Engneerng ITS Surabaya, Vol. 6, 5. [7] Handogo, R., and G. Authorty, (1997), "Experments and Correlatons of Vapor-Lqud equlbra of Acetone-1-Butanol-Ethanol Ternary Mxture", Internatonal Conference on Flud and Thermal Energy Converson, Yogyakarta, Indonesa, p [8] Henley, E. J. and J. D. Seader (1998), "Separaton Process Prncples", p , John Wley & Sons, Inc.., New York. [9] Prausntz, J. M., (2001), "The Propertes of Gases and lquds", ed. 5, p.. A.50 - A. 51, Mc. Graw- Hll, New York. [9] Raylegh, L., (1902), Phl. Mag. [V.], No. 4 (23), p [10] Wdagdo, S. and Warren D. Seder, (1996), "Journal Revew Azeotropc Dstllaton", AIChE J., Vol. 42, No.1, p AII.4-7

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

More information

If two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9.

If two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9. 9.9 Real Solutons Exhbt Devatons from Raoult s Law If two volatle and mscble lquds are combned to form a soluton, Raoult s law s not obeyed. Use the expermental data n Table 9.3: Physcal Chemstry 00 Pearson

More information

Vapor-Liquid Equilibria for Water+Hydrochloric Acid+Magnesium Chloride and Water+Hydrochloric Acid+Calcium Chloride Systems at Atmospheric Pressure

Vapor-Liquid Equilibria for Water+Hydrochloric Acid+Magnesium Chloride and Water+Hydrochloric Acid+Calcium Chloride Systems at Atmospheric Pressure Chnese J. Chem. Eng., 4() 76 80 (006) RESEARCH OES Vapor-Lqud Equlbra for Water+Hydrochlorc Acd+Magnesum Chlorde and Water+Hydrochlorc Acd+Calcum Chlorde Systems at Atmospherc Pressure ZHAG Yng( 张颖 ) and

More information

Equation of State Modeling of Phase Equilibrium in the Low-Density Polyethylene Process

Equation of State Modeling of Phase Equilibrium in the Low-Density Polyethylene Process Equaton of State Modelng of Phase Equlbrum n the Low-Densty Polyethylene Process H. Orbey, C. P. Boks, and C. C. Chen Ind. Eng. Chem. Res. 1998, 37, 4481-4491 Yong Soo Km Thermodynamcs & Propertes Lab.

More information

10.34 Numerical Methods Applied to Chemical Engineering Fall Homework #3: Systems of Nonlinear Equations and Optimization

10.34 Numerical Methods Applied to Chemical Engineering Fall Homework #3: Systems of Nonlinear Equations and Optimization 10.34 Numercal Methods Appled to Chemcal Engneerng Fall 2015 Homework #3: Systems of Nonlnear Equatons and Optmzaton Problem 1 (30 ponts). A (homogeneous) azeotrope s a composton of a multcomponent mxture

More information

INTRODUCTION TO CHEMICAL PROCESS SIMULATORS

INTRODUCTION TO CHEMICAL PROCESS SIMULATORS INTRODUCTION TO CHEMICAL PROCESS SIMULATORS DWSIM Chemcal Process Smulator A. Carrero, N. Qurante, J. Javaloyes October 2016 Introducton to Chemcal Process Smulators Contents Monday, October 3 rd 2016

More information

Emerging Challenges in Chemical Engineering Research, Education, and Industries

Emerging Challenges in Chemical Engineering Research, Education, and Industries Emergng Challenges n Chemcal Engneerng Research, Educaton, and Industres PROCEEDINGS Regonal Symposum on Chemcal Engneerng (RSCE 2013) Alona Kew Whte Beach Resort, Panglao Island, Bohol, Phlppnes November

More information

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model Lecture 4. Thermodynamcs [Ch. 2] Energy, Entropy, and Avalablty Balances Phase Equlbra - Fugactes and actvty coeffcents -K-values Nondeal Thermodynamc Property Models - P-v-T equaton-of-state models -

More information

Three-Phase Distillation in Packed Towers: Short-Cut Modelling and Parameter Tuning

Three-Phase Distillation in Packed Towers: Short-Cut Modelling and Parameter Tuning European Symposum on Computer Arded Aded Process Engneerng 15 L. Pugjaner and A. Espuña (Edtors) 2005 Elsever Scence B.V. All rghts reserved. Three-Phase Dstllaton n Packed Towers: Short-Cut Modellng and

More information

General Thermodynamics for Process Simulation. Dr. Jungho Cho, Professor Department of Chemical Engineering Dong Yang University

General Thermodynamics for Process Simulation. Dr. Jungho Cho, Professor Department of Chemical Engineering Dong Yang University General Thermodynamcs for Process Smulaton Dr. Jungho Cho, Professor Department of Chemcal Engneerng Dong Yang Unversty Four Crtera for Equlbra μ = μ v Stuaton α T = T β α β P = P l μ = μ l1 l 2 Thermal

More information

Application of Activity Coefficient Models in VLE Determination for Azeotropic System Using Othmer Type Ebulliometer

Application of Activity Coefficient Models in VLE Determination for Azeotropic System Using Othmer Type Ebulliometer Applcaton of Actvty Coeffcent Models n VLE Determnaton for Azeotropc System Usng Othmer Type Ebullometer Manojumar M.S, B. Svapraash 2 Department of Chemcal Engneerng, Annamala Unversty, Annamala Nagar-

More information

CHEMICAL ENGINEERING

CHEMICAL ENGINEERING Postal Correspondence GATE & PSUs -MT To Buy Postal Correspondence Packages call at 0-9990657855 1 TABLE OF CONTENT S. No. Ttle Page no. 1. Introducton 3 2. Dffuson 10 3. Dryng and Humdfcaton 24 4. Absorpton

More information

Non-Commercial Use Only

Non-Commercial Use Only Plottng P-x-y dagram for bnary system Acetone/water at temperatures 25,100,and 200 C usng UNIFAC method and comparng t wth expermental results. Unfac Method: The UNIFAC method s based on the UNIQUAC equaton,

More information

Prediction of the flash point of ternary ideal mixtures

Prediction of the flash point of ternary ideal mixtures Electronc Journal of New Materals, Energy and Envronment Volume No. (25), -5 url: http://ejnmee.eu/ eissn: 2367-6868 redcton of the flash pont of ternary deal mxtures M. Hrstova Unversty of Chemcal Technology

More information

3. Be able to derive the chemical equilibrium constants from statistical mechanics.

3. Be able to derive the chemical equilibrium constants from statistical mechanics. Lecture #17 1 Lecture 17 Objectves: 1. Notaton of chemcal reactons 2. General equlbrum 3. Be able to derve the chemcal equlbrum constants from statstcal mechancs. 4. Identfy how nondeal behavor can be

More information

Prediction of steady state input multiplicities for the reactive flash separation using reactioninvariant composition variables

Prediction of steady state input multiplicities for the reactive flash separation using reactioninvariant composition variables Insttuto Tecnologco de Aguascalentes From the SelectedWorks of Adran Bonlla-Petrcolet 2 Predcton of steady state nput multplctes for the reactve flash separaton usng reactonnvarant composton varables Jose

More information

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2.

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2. Chemstry 360 Dr. Jean M. Standard Problem Set 9 Solutons. The followng chemcal reacton converts sulfur doxde to sulfur troxde. SO ( g) + O ( g) SO 3 ( l). (a.) Wrte the expresson for K eq for ths reacton.

More information

PETE 310 Lectures # 24 & 25 Chapter 12 Gas Liquid Equilibrium

PETE 310 Lectures # 24 & 25 Chapter 12 Gas Liquid Equilibrium ETE 30 Lectures # 24 & 25 Chapter 2 Gas Lqud Equlbrum Thermal Equlbrum Object A hgh T, Object B low T Intal contact tme Intermedate tme. Later tme Mechancal Equlbrum ressure essels Vale Closed Vale Open

More information

Lecture 8. Chapter 7. - Thermodynamic Web - Departure Functions - Review Equations of state (chapter 4, briefly)

Lecture 8. Chapter 7. - Thermodynamic Web - Departure Functions - Review Equations of state (chapter 4, briefly) Lecture 8 Chapter 5 - Thermodynamc Web - Departure Functons - Revew Equatons of state (chapter 4, brefly) Chapter 6 - Equlbrum (chemcal potental) * Pure Component * Mxtures Chapter 7 - Fugacty (chemcal

More information

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products modelng of equlbrum and dynamc mult-component adsorpton n a two-layered fxed bed for purfcaton of hydrogen from methane reformng products Mohammad A. Ebrahm, Mahmood R. G. Arsalan, Shohreh Fatem * Laboratory

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

Estimation of the composition of the liquid and vapor streams exiting a flash unit with a supercritical component

Estimation of the composition of the liquid and vapor streams exiting a flash unit with a supercritical component Department of Energ oltecnco d Mlano Va Lambruschn - 05 MILANO Eercses of Fundamentals of Chemcal rocesses rof. Ganpero Gropp Eercse 8 Estmaton of the composton of the lqud and vapor streams etng a unt

More information

Name: SID: Discussion Session:

Name: SID: Discussion Session: Name: SID: Dscusson Sesson: Chemcal Engneerng Thermodynamcs 141 -- Fall 007 Thursday, November 15, 007 Mdterm II SOLUTIONS - 70 mnutes 110 Ponts Total Closed Book and Notes (0 ponts) 1. Evaluate whether

More information

Gasometric Determination of NaHCO 3 in a Mixture

Gasometric Determination of NaHCO 3 in a Mixture 60 50 40 0 0 5 15 25 35 40 Temperature ( o C) 9/28/16 Gasometrc Determnaton of NaHCO 3 n a Mxture apor Pressure (mm Hg) apor Pressure of Water 1 NaHCO 3 (s) + H + (aq) Na + (aq) + H 2 O (l) + CO 2 (g)

More information

DETERMINATION OF CO 2 MINIMUM MISCIBILITY PRESSURE USING SOLUBILITY PARAMETER

DETERMINATION OF CO 2 MINIMUM MISCIBILITY PRESSURE USING SOLUBILITY PARAMETER DETERMINATION OF CO 2 MINIMUM MISCIBILITY PRESSURE USING SOLUBILITY PARAMETER Rocha, P. S. 1, Rbero, A. L. C. 2, Menezes, P. R. F. 2, Costa, P. U. O. 2, Rodrgues, E. A. 2, Costa, G. M. N. 2 *, glora.costa@unfacs.br,

More information

Assignment 4. Adsorption Isotherms

Assignment 4. Adsorption Isotherms Insttute of Process Engneerng Assgnment 4. Adsorpton Isotherms Part A: Compettve adsorpton of methane and ethane In large scale adsorpton processes, more than one compound from a mxture of gases get adsorbed,

More information

The influence of non-ideal vapor-liquid-equilibrium on vaporization of multicomponent hydrocarbon fuels

The influence of non-ideal vapor-liquid-equilibrium on vaporization of multicomponent hydrocarbon fuels ICLASS 202, 2 th Trennal Internatonal Conference on Lqud Atomzaton and Spray Systems, Hedelberg, Germany, September 2-6, 202 The nfluence of non-deal vapor-lqud-equlbrum on vaporzaton of multcomponent

More information

NAME and Section No. it is found that 0.6 mol of O

NAME and Section No. it is found that 0.6 mol of O NAME and Secton No. Chemstry 391 Fall 7 Exam III KEY 1. (3 Ponts) ***Do 5 out of 6***(If 6 are done only the frst 5 wll be graded)*** a). In the reacton 3O O3 t s found that.6 mol of O are consumed. Fnd

More information

A Self-Consistent Gibbs Excess Mixing Rule for Cubic Equations of State: derivation and fugacity coefficients

A Self-Consistent Gibbs Excess Mixing Rule for Cubic Equations of State: derivation and fugacity coefficients A Self-Consstent Gbbs Excess Mxng Rule for Cubc Equatons of State: dervaton and fugacty coeffcents Paula B. Staudt, Rafael de P. Soares Departamento de Engenhara Químca, Escola de Engenhara, Unversdade

More information

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

More information

VAPOR LIQUID EQUILIBRIUM DATA GENERATION FOR ACETIC ACID AND p-xylene AT ATMOSPHERIC PRESSURE

VAPOR LIQUID EQUILIBRIUM DATA GENERATION FOR ACETIC ACID AND p-xylene AT ATMOSPHERIC PRESSURE Int. J. Chem. Sc.: 14(3), 2016, 1511-1519 ISSN 0972-768X www.sadgurupublcatons.com VAPOR LIQUID EQUILIBRIUM DATA GENERATION FOR ACETIC ACID AND p-xylene AT ATMOSPHERIC PRESSURE PAWAN KIRAN MALI *,a and

More information

A SHORT METHOD TO CALCULATE REACTIVE RESIDUE CURVE MAPS

A SHORT METHOD TO CALCULATE REACTIVE RESIDUE CURVE MAPS Dstllaton Absorpton 00 A.B. de Haan, H. Koojman and A. Górak (Edtors) All rghts reserved by authors as per DA00 copyrght notce A SHORT METHOD TO CALCULATE REACTIVE RESIDUE CURVE MAPS M. Carrera-Rodríguez,

More information

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton

More information

Exercises of Fundamentals of Chemical Processes

Exercises of Fundamentals of Chemical Processes Department of Energ Poltecnco d Mlano a Lambruschn 4 2056 MILANO Exercses of undamentals of Chemcal Processes Prof. Ganpero Gropp Exercse 7 ) Estmaton of the composton of the streams at the ext of an sothermal

More information

Chapter Newton s Method

Chapter Newton s Method Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve

More information

I wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State

I wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State I wsh to publsh my paper on The Internatonal Journal of Thermophyscs. Ttle: A Practcal Method to Calculate Partal Propertes from Equaton of State Authors: Ryo Akasaka (correspondng author) 1 and Takehro

More information

Influence Of Operating Conditions To The Effectiveness Of Extractive Distillation Columns

Influence Of Operating Conditions To The Effectiveness Of Extractive Distillation Columns Influence Of Operatng Condtons To The Effectveness Of Extractve Dstllaton Columns N.A. Vyazmna Moscov State Unversty Of Envrnmental Engneerng, Department Of Chemcal Engneerng Ul. Staraya Basmannaya 21/4,

More information

Determination of Structure and Formation Conditions of Gas Hydrate by Using TPD Method and Flash Calculations

Determination of Structure and Formation Conditions of Gas Hydrate by Using TPD Method and Flash Calculations nd atonal Iranan Conference on Gas Hydrate (ICGH) Semnan Unersty Determnaton of Structure and Formaton Condtons of Gas Hydrate by Usng TPD Method and Flash Calculatons H. Behat Rad, F. Varamnan* Department

More information

Mass Transfer Processes

Mass Transfer Processes Mass Transfer Processes S. Majd Hassanzadeh Department of Earth Scences Faculty of Geoscences Utrecht Unversty Outlne: 1. Measures of Concentraton 2. Volatlzaton and Dssoluton 3. Adsorpton Processes 4.

More information

Department of Physical Chemistry, Faculty of Chemistry, University of Bucharest, Bd. Regina Elisabeta 4-12, , Bucharest, Romania

Department of Physical Chemistry, Faculty of Chemistry, University of Bucharest, Bd. Regina Elisabeta 4-12, , Bucharest, Romania ISOTHERMAL LIQUID-VAOR EQUILIBRIUM IN ACETONITRILE-WATER SYSTEM Rodca Vlcu, Zoca Cenuse abstact: The study of ths system started from the mportance that acetontrle has as the component of some mxtures

More information

Experimental and Modeling Studies for a Reactive Batch Distillation Column

Experimental and Modeling Studies for a Reactive Batch Distillation Column Expermental and Modelng Studes for a Reactve Batch Dstllaton Column Almıla Bahar*. Canan Özgen** Department of Chemcal Engneerng, Mddle East Techncal Unversty, Ankara, 0653, Turkey e-mal: *abahar@metu.edu.tr,

More information

y i x P vap 10 A T SOLUTION TO HOMEWORK #7 #Problem

y i x P vap 10 A T SOLUTION TO HOMEWORK #7 #Problem SOLUTION TO HOMEWORK #7 #roblem 1 10.1-1 a. In order to solve ths problem, we need to know what happens at the bubble pont; at ths pont, the frst bubble s formed, so we can assume that all of the number

More information

UNIFAC. Documentation. DDBSP Dortmund Data Bank Software Package

UNIFAC. Documentation. DDBSP Dortmund Data Bank Software Package UNIFAC Documentaton DDBSP Dortmund Data Ban Software Pacage DDBST Dortmund Data Ban Software & Separaton Technology GmbH Mare-Cure-Straße 10 D-26129 Oldenburg Tel.: +49 441 361819 0 Fax: +49 441 361819

More information

Comparison of Regression Lines

Comparison of Regression Lines STATGRAPHICS Rev. 9/13/2013 Comparson of Regresson Lnes Summary... 1 Data Input... 3 Analyss Summary... 4 Plot of Ftted Model... 6 Condtonal Sums of Squares... 6 Analyss Optons... 7 Forecasts... 8 Confdence

More information

Grand canonical Monte Carlo simulations of bulk electrolytes and calcium channels

Grand canonical Monte Carlo simulations of bulk electrolytes and calcium channels Grand canoncal Monte Carlo smulatons of bulk electrolytes and calcum channels Thess of Ph.D. dssertaton Prepared by: Attla Malascs M.Sc. n Chemstry Supervsor: Dr. Dezső Boda Unversty of Pannona Insttute

More information

Mass transfer in multi-component mixtures

Mass transfer in multi-component mixtures Chapters -0 ex. 7, of 5 of boo See also Krshna & Wesselngh Chem. Eng. Sc. 5(6) 997 86-9 Mass transfer n mult-component mxtures Ron Zevenhoven Åbo Aadem Unversty Thermal and Flow Engneerng Laboratory tel.

More information

Design Equations. ν ij r i V R. ν ij r i. Q n components. = Q f c jf Qc j + Continuous Stirred Tank Reactor (steady-state and constant phase)

Design Equations. ν ij r i V R. ν ij r i. Q n components. = Q f c jf Qc j + Continuous Stirred Tank Reactor (steady-state and constant phase) Desgn Equatons Batch Reactor d(v R c j ) dt = ν j r V R n dt dt = UA(T a T) r H R V R ncomponents V R c j C pj j Plug Flow Reactor d(qc j ) dv = ν j r 2 dt dv = R U(T a T) n r H R Q n components j c j

More information

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform Ths chapter deals wth chemcal reactons (system) wth lttle or no consderaton on the surroundngs. Chemcal Equlbrum Chapter 6 Spontanety of eactve Mxtures (gases) eactants generatng products would proceed

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

Determination of activity coefficients of dimethyl ether in butyl acetate and 2-propanol

Determination of activity coefficients of dimethyl ether in butyl acetate and 2-propanol Determnaton of actvty coeffcents of dmethyl ether n butyl acetate and 2-propanol Petar Petrov Determnaton of actvty coeefcents of dmethyl ether n butyl acetate and 2-propanol: The paper presents expermental

More information

CALCULATION OF VAPOUR - LIQUID - LIQUID EQUILIBRIA

CALCULATION OF VAPOUR - LIQUID - LIQUID EQUILIBRIA Chemcal and Process Engneerng 202, 33 (3), 463-477 DOI: 0.2478/v076-02-0039-5 CALCULATIO OF VAPOUR - LIQUID - LIQUID EQUILIBRIA I QUATERARY SYSTEMS Andrzej Wyczesany * Unversty of Technology, Insttute

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

BINARY VAPOUR-LIQUID EQUILIBRIUM FOR SYSTEMS OF INDUSTRIAL IMPORTANCE

BINARY VAPOUR-LIQUID EQUILIBRIUM FOR SYSTEMS OF INDUSTRIAL IMPORTANCE BINARY VAPOUR-LIQUID EQUILIBRIUM FOR SYSTEMS OF INDUSTRIAL IMPORTANCE By Funmlola Elzabeth Avoseh B.Sc. Chemcal and Polymer Engneerng Lagos State Unversty, Lagos state, Ngera. 2015 PREFACE The work presented

More information

Global Sensitivity. Tuesday 20 th February, 2018

Global Sensitivity. Tuesday 20 th February, 2018 Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values

More information

Electrochemical Equilibrium Electromotive Force

Electrochemical Equilibrium Electromotive Force CHM465/865, 24-3, Lecture 5-7, 2 th Sep., 24 lectrochemcal qulbrum lectromotve Force Relaton between chemcal and electrc drvng forces lectrochemcal system at constant T and p: consder Gbbs free energy

More information

MODELING THE HIGH-PRESSURE BEHAVIOR OF BINARY MIXTURES OF CARBON DIOXIDE+ALKANOLS USING AN EXCESS FREE ENERGY MIXING RULE

MODELING THE HIGH-PRESSURE BEHAVIOR OF BINARY MIXTURES OF CARBON DIOXIDE+ALKANOLS USING AN EXCESS FREE ENERGY MIXING RULE Brazlan Journal of Chemcal Engneerng ISSN 0104-6632 Prnted n Brazl Vol. 21, No. 04, pp. 659-666, October - December 04 MODELING THE HIGH-PRESSURE BEHAVIOR OF BINARY MIXTURES OF CARBON DIOXIDE+ALKANOLS

More information

Adsorption: A gas or gases from a mixture of gases or a liquid (or liquids) from a mixture of liquids is bound physically to the surface of a solid.

Adsorption: A gas or gases from a mixture of gases or a liquid (or liquids) from a mixture of liquids is bound physically to the surface of a solid. Searatons n Chemcal Engneerng Searatons (gas from a mxture of gases, lquds from a mxture of lquds, solds from a soluton of solds n lquds, dssolved gases from lquds, solvents from gases artally/comletely

More information

Chapter 11: Simple Linear Regression and Correlation

Chapter 11: Simple Linear Regression and Correlation Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests

More information

is the calculated value of the dependent variable at point i. The best parameters have values that minimize the squares of the errors

is the calculated value of the dependent variable at point i. The best parameters have values that minimize the squares of the errors Multple Lnear and Polynomal Regresson wth Statstcal Analyss Gven a set of data of measured (or observed) values of a dependent varable: y versus n ndependent varables x 1, x, x n, multple lnear regresson

More information

Solution Thermodynamics

Solution Thermodynamics CH2351 Chemcal Engneerng Thermodynamcs II Unt I, II www.msubbu.n Soluton Thermodynamcs www.msubbu.n Dr. M. Subramanan Assocate Professor Department of Chemcal Engneerng Sr Svasubramanya Nadar College of

More information

Lecture. Polymer Thermodynamics 0331 L Chemical Potential

Lecture. Polymer Thermodynamics 0331 L Chemical Potential Prof. Dr. rer. nat. habl. S. Enders Faculty III for Process Scence Insttute of Chemcal Engneerng Department of Thermodynamcs Lecture Polymer Thermodynamcs 033 L 337 3. Chemcal Potental Polymer Thermodynamcs

More information

Assessing the use of NMR chemical shifts for prediction of VLE in nonideal binary liquid mixtures

Assessing the use of NMR chemical shifts for prediction of VLE in nonideal binary liquid mixtures Assessng the use of NMR chemcal shfts for predcton of VLE n nondeal bnary lqud mtures Q. Zhu, G. D. Moggrdge, T. Dalton, J. Cooper, M.D. Mantle, L. F. Gladden, C. D Agostno* *Correspondng Author: Dr Carmne

More information

Negative Binomial Regression

Negative Binomial Regression STATGRAPHICS Rev. 9/16/2013 Negatve Bnomal Regresson Summary... 1 Data Input... 3 Statstcal Model... 3 Analyss Summary... 4 Analyss Optons... 7 Plot of Ftted Model... 8 Observed Versus Predcted... 10 Predctons...

More information

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014 Lecture 16 8/4/14 Unversty o Washngton Department o Chemstry Chemstry 452/456 Summer Quarter 214. Real Vapors and Fugacty Henry s Law accounts or the propertes o extremely dlute soluton. s shown n Fgure

More information

Phase equilibria for the oxygen-water system up to elevated temperatures and pressures

Phase equilibria for the oxygen-water system up to elevated temperatures and pressures Phase equlbra for the oxygen-water system up to elevated temperatures and pressures Xaoyan J 1, 2, Xaohua Lu 2, Jnyue Yan 1,3* 1 Department of Chemcal Engneerng and Technology / Energy Processes, Royal

More information

2016 Wiley. Study Session 2: Ethical and Professional Standards Application

2016 Wiley. Study Session 2: Ethical and Professional Standards Application 6 Wley Study Sesson : Ethcal and Professonal Standards Applcaton LESSON : CORRECTION ANALYSIS Readng 9: Correlaton and Regresson LOS 9a: Calculate and nterpret a sample covarance and a sample correlaton

More information

Measurement and prediction of binary mixture flash point

Measurement and prediction of binary mixture flash point Cent. Eur. J. Chem. 11(1) 2013 57-62 DOI: 10.2478/s11532-012-0131-1 Central European Journal of Chemstry Measurement and predcton of bnary mxture flash pont Research Artcle Marana Hrstova * Department

More information

PCI-697: DISTILLATION CONTROL. Department of Chemical Engineering KFUPM

PCI-697: DISTILLATION CONTROL. Department of Chemical Engineering KFUPM PCI-697: DISTILLATION CONTROL Department of Chemcal Engneerng KFUPM Topc: Dtllaton Prncple and Dynamc Dr. Houam Bnou Objectve of dtllaton control Operate n Safe, Stable Manner Operate Wthn Equpment Contrant

More information

Multicomponent Vaporization Modeling of Petroleum-Biofuel Mixture at High-Pressure Conditions

Multicomponent Vaporization Modeling of Petroleum-Biofuel Mixture at High-Pressure Conditions ILASS Amercas, 3 rd Annual Conference on Lqud Atomzaton and Spray Systems, Ventura, CA, May 011 Multcomponent Vaporzaton Modelng of Petroleum-Bofuel Mxture at Hgh-Pressure Condtons L. Zhang and Song-Charng

More information

Journal of Polytechnic, 2017; 20 (1) : Journal of Polytechnic, 2017; 20 (1) :

Journal of Polytechnic, 2017; 20 (1) : Journal of Polytechnic, 2017; 20 (1) : Journal of Polytechnc, 2017; 20 (1) : 129-135 Journal of Polytechnc, 2017; 20 (1) : 129-135 Modelng Of Lqud-Lqud Equlbrum Data and Estmaton of New Bnary Interacton Parameters for NRTL Model for the Quaternary

More information

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient 58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),

More information

KINETICS OF GAS HYDRATE FORMATION FROM PYROLYSIS GAS IN WATER-IN-OIL EMULSION SYSTEM

KINETICS OF GAS HYDRATE FORMATION FROM PYROLYSIS GAS IN WATER-IN-OIL EMULSION SYSTEM Proceedngs of the 7th Internatonal Conference on Gas Hydrates (ICGH 211), Ednburgh, Scotland, Unted Kngdom, July 17-21, 211. KINETICS OF GAS HYDRATE FORMATION FROM PYROLYSIS GAS IN WATER-IN-OIL EMULSION

More information

Thermodynamics II. Department of Chemical Engineering. Prof. Kim, Jong Hak

Thermodynamics II. Department of Chemical Engineering. Prof. Kim, Jong Hak Thermodynamcs II Department of Chemcal Engneerng Prof. Km, Jong Hak Soluton Thermodynamcs : theory Obectve : lay the theoretcal foundaton for applcatons of thermodynamcs to gas mxture and lqud soluton

More information

Modeling Interfacial Tension in Liquid Liquid Systems Containing Electrolytes

Modeling Interfacial Tension in Liquid Liquid Systems Containing Electrolytes Artcle pubs.acs.org/iecr Modelng Interfacal Tenson n Lqud Lqud Systems Contanng Electrolytes Pemng Wang* and Andrzej Anderko OLI Systems Inc., 240 Cedar Knolls Road, Sute 3, Cedar Knolls, New Jersey 07927,

More information

Aerosols, Dust and High Spectral Resolution Remote Sensing

Aerosols, Dust and High Spectral Resolution Remote Sensing Aerosols, Dust and Hgh Spectral Resoluton Remote Sensng Irna N. Sokolk Program n Atmospherc and Oceanc Scences (PAOS) Unversty of Colorado at Boulder rna.sokolk@colorado.edu Goals and challenges MAIN GOALS:

More information

APPLICATION OF AN ADAPTIVE NEURO INFERENCE SYSTEM FOR CONTINUOUS MONITORING AND CONTROL OF AN EXTRACTIVE DISTILLATION PLANT

APPLICATION OF AN ADAPTIVE NEURO INFERENCE SYSTEM FOR CONTINUOUS MONITORING AND CONTROL OF AN EXTRACTIVE DISTILLATION PLANT Journal of Chemcal Bahman Technology ZareNezhad, and Metallurgy, Al Amnan 48,, 203, 99-03 APPLICATION OF AN ADAPTIVE NEURO INFERENCE SYSTEM FOR CONTINUOUS MONITORING AND CONTROL OF AN EXTRACTIVE DISTILLATION

More information

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry Workshop: Approxmatng energes and wave functons Quantum aspects of physcal chemstry http://quantum.bu.edu/pltl/6/6.pdf Last updated Thursday, November 7, 25 7:9:5-5: Copyrght 25 Dan Dll (dan@bu.edu) Department

More information

(1) The saturation vapor pressure as a function of temperature, often given by the Antoine equation:

(1) The saturation vapor pressure as a function of temperature, often given by the Antoine equation: CE304, Sprng 2004 Lecture 22 Lecture 22: Topcs n Phase Equlbra, part : For the remander of the course, we wll return to the subject of vapor/lqud equlbrum and ntroduce other phase equlbrum calculatons

More information

A Modulated Hydrothermal (MHT) Approach for the Facile. Synthesis of UiO-66-Type MOFs

A Modulated Hydrothermal (MHT) Approach for the Facile. Synthesis of UiO-66-Type MOFs Supplementary Informaton A Modulated Hydrothermal (MHT) Approach for the Facle Synthess of UO-66-Type MOFs Zhgang Hu, Yongwu Peng, Zx Kang, Yuhong Qan, and Dan Zhao * Department of Chemcal and Bomolecular

More information

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM Ganj, Z. Z., et al.: Determnaton of Temperature Dstrbuton for S111 DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM by Davood Domr GANJI

More information

Solutions Review Worksheet

Solutions Review Worksheet Solutons Revew Worksheet NOTE: Namng acds s ntroduced on pages 163-4 and agan on pages 208-9.. You learned ths and were quzzed on t, but snce acd names are n the Data Booklet you wll not be tested on ths

More information

Module 3: The Whole-Process Perspective for Thermochemical Hydrogen

Module 3: The Whole-Process Perspective for Thermochemical Hydrogen "Thermodynamc Analyss of Processes for Hydrogen Generaton by Decomposton of Water" by John P. O'Connell Department of Chemcal Engneerng Unversty of Vrgna Charlottesvlle, VA 2294-4741 A Set of Energy Educaton

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure nhe roblem-solvng Strategy hapter 4 Transformaton rocess onceptual Model formulaton procedure Mathematcal Model The mathematcal model s an abstracton that represents the engneerng phenomena occurrng n

More information

VQ widely used in coding speech, image, and video

VQ widely used in coding speech, image, and video at Scalar quantzers are specal cases of vector quantzers (VQ): they are constraned to look at one sample at a tme (memoryless) VQ does not have such constrant better RD perfomance expected Source codng

More information

Optimization of the thermodynamic model of a solar driven Aqua - ammonia absorption refrigeration system

Optimization of the thermodynamic model of a solar driven Aqua - ammonia absorption refrigeration system nd WSEAS/IASME Internatonal Conference on RENEWABLE ENERGY SOURCES (RES') Corfu, Greece, October -, Optmzaton of the thermodynamc model of a solar drven Aqua - ammona absorpton refrgeraton system J. ABDULATEEF,

More information

A Robust Method for Calculating the Correlation Coefficient

A Robust Method for Calculating the Correlation Coefficient A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal

More information

Thermodynamic Analysis of Supercritical Water Gasification of Microalgae Biomass for Hydrogen and Syngas Production

Thermodynamic Analysis of Supercritical Water Gasification of Microalgae Biomass for Hydrogen and Syngas Production 553 A publcaton of VOL. 32, 203 CHEMICAL ENGINEERING TRANSACTIONS Chef Edtors: Sauro Perucc, Jří J. Klemeš Copyrght 203, AIDIC Servz S.r.l., ISBN 978-88-95608-23-5; ISSN 974-979 The Italan Assocaton of

More information

ADSORPTION EQUILIBRIUM OF LIGHT HYDROCARBON MIXTURES BY MONTE CARLO SIMULATION

ADSORPTION EQUILIBRIUM OF LIGHT HYDROCARBON MIXTURES BY MONTE CARLO SIMULATION Brazlan Journal of Chemcal Engneerng ISSN 0104-6632 Prnted n Brazl www.abeq.org.br/bjche Vol. 24, No. 04, pp. 597-610 October - December, 2007 ADSORPTION EQUILIBRIUM OF LIGHT HYDROCARBON MIXTURES BY MONTE

More information

OFF-AXIS MECHANICAL PROPERTIES OF FRP COMPOSITES

OFF-AXIS MECHANICAL PROPERTIES OF FRP COMPOSITES ICAMS 204 5 th Internatonal Conference on Advanced Materals and Systems OFF-AXIS MECHANICAL PROPERTIES OF FRP COMPOSITES VLAD LUPĂŞTEANU, NICOLAE ŢĂRANU, RALUCA HOHAN, PAUL CIOBANU Gh. Asach Techncal Unversty

More information

Appendix II Summary of Important Equations

Appendix II Summary of Important Equations W. M. Whte Geochemstry Equatons of State: Ideal GasLaw: Coeffcent of Thermal Expanson: Compressblty: Van der Waals Equaton: The Laws of Thermdynamcs: Frst Law: Appendx II Summary of Important Equatons

More information

CHEMICAL REACTIONS AND DIFFUSION

CHEMICAL REACTIONS AND DIFFUSION CHEMICAL REACTIONS AND DIFFUSION A.K.A. NETWORK THERMODYNAMICS BACKGROUND Classcal thermodynamcs descrbes equlbrum states. Non-equlbrum thermodynamcs descrbes steady states. Network thermodynamcs descrbes

More information

Available online at Energy Procedia 4 (2011) Energy Procedia 00 (2010) GHGT-10

Available online at   Energy Procedia 4 (2011) Energy Procedia 00 (2010) GHGT-10 Avalable onlne at www.scencedrect.com Energy Proceda 4 (011) 179 186 Energy Proceda 00 (010) 000 000 Energy Proceda www.elsever.com/locate/xxx www.elsever.com/locate/proceda GHGT10 Solublty of Carbon Doxde

More information

Lecture 16 Statistical Analysis in Biomaterials Research (Part II)

Lecture 16 Statistical Analysis in Biomaterials Research (Part II) 3.051J/0.340J 1 Lecture 16 Statstcal Analyss n Bomaterals Research (Part II) C. F Dstrbuton Allows comparson of varablty of behavor between populatons usng test of hypothess: σ x = σ x amed for Brtsh statstcan

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Process Modeling. Improving or understanding chemical process operation is a major objective for developing a dynamic process model

Process Modeling. Improving or understanding chemical process operation is a major objective for developing a dynamic process model Process Modelng Improvng or understandng chemcal process operaton s a major objectve for developng a dynamc process model Balance equatons Steady-state balance equatons mass or energy mass or energy enterng

More information

Design and Manufacturing Engineering Department, Politeknik Perkapalan Negeri Surabaya, Surabaya, Indonesia 2

Design and Manufacturing Engineering Department, Politeknik Perkapalan Negeri Surabaya, Surabaya, Indonesia 2 OPTIMIZATION OF MULTIPLE PERFORMANCE CHARACTERISTICS IN WIRE ELECTRICAL DISCHARGE MACHINING (WEDM) PROCESS OF BUDERUS 28 TOOL STEEL USING TAGUCHI-GREY- FUZZY METHOD D. A. Purnomo 1,2, B. O. P. Soepangkat

More information

Department of Quantitative Methods & Information Systems. Time Series and Their Components QMIS 320. Chapter 6

Department of Quantitative Methods & Information Systems. Time Series and Their Components QMIS 320. Chapter 6 Department of Quanttatve Methods & Informaton Systems Tme Seres and Ther Components QMIS 30 Chapter 6 Fall 00 Dr. Mohammad Zanal These sldes were modfed from ther orgnal source for educatonal purpose only.

More information

ME 300 Exam 2 November 18, :30 p.m. to 7:30 p.m.

ME 300 Exam 2 November 18, :30 p.m. to 7:30 p.m. CICLE YOU LECTUE BELOW: Frst Name Last Name 1:3 a.m. 1:3 p.m. Nak Gore ME 3 Exam November 18, 14 6:3 p.m. to 7:3 p.m. INSTUCTIONS 1. Ths s a closed book and closed notes examnaton. You are provded wth

More information

Design of Reactive Distillation with Thermal Coupling for the Synthesis of Biodiesel using Genetic Algorithms

Design of Reactive Distillation with Thermal Coupling for the Synthesis of Biodiesel using Genetic Algorithms 19 th European Symposum on Computer Aded Process Engneerng ESCAPE19 J. Jeowsk and J. Thulle (Edtors) 2009 Elsever B.V./Ltd. All rghts reserved. Desgn of Reactve Dstllaton wth Thermal Couplng for the Synthess

More information