Investigation of Mixed Gas Sorption in Lab-Scale Experiment and Evaluation

Size: px
Start display at page:

Download "Investigation of Mixed Gas Sorption in Lab-Scale Experiment and Evaluation"

Transcription

1 Investgaton of Mxed Gas Sorton n Lab-Scale Exerment and Evaluaton Dr. Andreas Möller Chrstan Rechenbach, Robert Eschrch 3P INSTRUMENTS GmbH & Co. KG 8-6- Adsorton Summer School

2 Techncal Necessty: Alcaton of Porous Materals as Adsorbents Fne cleanng of Gases (.e. urfcaton of H, natural gas, bo methane ) Waste ar treatment, resratory rotecton, solvent recovery, removal of ollutants ) Gas searaton (.e. Ar searaton ) Modern and effectve materals should have hgh sorton caactes, hgh selectvtes, and a good knetc erformance. For such alcatons, one must consder gas mxtures and ther sorton roertes n any case.

3 Characterzaton of Adsorbents Nova Touch Sorb HP mxsorb L Bench scale, Plot lants, Industral Plant Number of Samles Alcaton Progress Synthess and Frst Characterzaton Determnaton of Thermodynamc Data Basc Process Desgn, Granulaton of Adsorbents Detaled Process Desgn, Alcaton Chemsts Chemsts, Physcsts Chemcal Engneers Engneers BET Pore Volume Pore Sze Dstrbuton Isotherms Heat of Adsorton Techn. Useable Sorton Caacty Gas Mxtures Selectvtes Selectvtes Knetcs for Process Condtons Cycle Stablty Process Otmzaton Producton 3

4 Characterzaton of Adsorbents Nova Touch Sorb HP mxsorb L Bench scale, Plot lants, Industral Plant Number of Samles Alcaton Progress Synthess and Frst Characterzaton Determnaton of Thermodynamc Data Basc Process Desgn, Granulaton of Adsorbents Detaled Process Desgn, Alcaton Chemsts Chemsts, Physcsts Chemcal Engneers Engneers BET Pore Volume Pore Sze Dstrbuton Isotherms Heat of Adsorton Techn. Useable Sorton Caacty Gas Mxtures Selectvtes Selectvtes Knetcs for Process Condtons Cycle Stablty Process Otmzaton Producton

5 Why are Textural Proertes not enough? Textural Proertes of Adsorbents: BET-Surface Pore Sze Dstrbuton Mcroore Volume Textural roertes allow only lmted qualtatve statements regardng: exected sorton caacty (Mcroore Volume) rough assessment of general sorton roertes from Pore Sze Dstrbutuon Textural roertes do not allow quanttatve statements regardng: sorton affnty selectvty no suffcent nformaton of surface chemstry 5

6 Selectvty and Searaton factor Often dfferent defnton of selectvty (searaton factor)! Thermodynamc selectvty and lmt of selectvty () a Dfference of shae of sotherms and of loadngs mortant [] a CO, CH Y Y CH CO X X CO CH Knetc searaton faktor b Dfference of sorton rates mortant [3] Sorbent selecton arameter of Rege and Yang [] S q q CO CH a CO,CH a CO, CH H H CO CH Y mole rato n gas hase X mole rato n adsorbed hase H Henry constants q dfference n loadng between adsorton and desorton b CO, CH H H CO CH D D CO CH H Henry constants D Dffuson coeffcents [] R.T. Yang, Gas searaton by adsorton rocesses, Imeral College Press, London, 987 [] S.U. Rege, R.T. Yang, Se. Sc. & Technol.,, 36, [3] D.M. Ruthven, S. Farooq, K.S. Knaebel, Pressure Swng Adsorton, Wley-Verlag, New York

7 Mxture Equlbra - Bascs Deendence of artal and total adsorton amounts General: nco, CH total FKT YCO YCH,,, Investgaton along: THE READ LINE Case A n const. FKT THE BLUE LINE Case B n CO CO, CH, total Y Y CH,, total CO, CH Y Y const. FKT CO, CH - - artal loadngs, - total loadng 7

8 Mxture Equlbra - Bascs Tycal resentaton of sorton caactes for bnary mxtures X CO / Case A varable gas comoston CO adsorbed amount / mmol ḡ Case B varable ressure total loadng CO CH Y CO / ressure / bar =const. ( bar), CO,CH on D55-.5 Y=const. (5:5), CO,CH on D55-.5 X-Y-Plot wth statement to the comoston of adsorbed hase at constant ressure N--Plot wth statement to the comoston of amount of adsorbed at constant comoston of the gas hase 8

9 Mxture Equlbra - Bascs Tycal resentaton of sorton caactes for bnary mxtures Case A varable gas comoston adsorbed amount / mmol ḡ total loadng CO CH adsorbed amount / mmol ḡ Case B varable ressure total loadng CO CH Y CO / - =const. ( bar), CO,CH on D ressure / bar Y=const. (5:5), CO,CH on D55-.5 N-Y-Plot wth statement to the artal loadng at constant ressure N--Plot wth statement to the comoston of amount of adsorbed at constant comoston of the gas hase 9

10 Mxture Equlbra - Bascs Relatonsh between loadng mole fracton selectvty. Calculaton of mole fractons of adsorbed hase from artal loadng. Calculaton of mole fracton of gas hase from artal ressures 3. Calculaton of selectvty. Check lausblty wth hel of lmt for selectvty (for IAST-Calculatons) X CO n CO n CO n CH Y CO CO CO CH selectvty a / - 8 E-6 E-5 E- E-3.. ressure / bar Selectvty a Selectvty a -> a CO, CH Y Y CH CO X X CO CH a CO, CH H H CO CH 5% CO,5% CH on NaMSX, IAST wth Toth Lmt of selectvty can be used to check the results of IAST-Calculatons (only for models wth Henry range) Often Lmt of selectvty do not reflect the selectvty for the real searaton rocess, therefore a sngle consderaton s not enough

11 Mxture Equlbra - Bascs Models for mxture data Requrements: Knowledge of ure comonent sotherms Extended langmur-lke equatons [] IAS-Theory [] VS-Model [3] Mult Comonent-Langmur (MCLAI) Mult Comonent-Ss (MCSIPS) Mult Comonent-DSLAI (MCDSLAI) IAST wth Langmur IAST wth Toth IAST wth DSLAI VS-Modell wth Wlson q q m b j x b, x MCSIPS j j A RT n Isotherm( d const. [] R.T. Yang, Gas Searaton by Adsorton Processes, Imeral College Press,987 [] A.L. Myers, J.M. Prausntz, AIChe Journal, 965,, 9 [3] T.W. Cochran, R.L. Kabel, R.P. Danner, AIChe Journal, 3, 985,, 75 n o )

12 Mxture Equlbra - Models Models for mxture data Requrements: Knowledge of ure comonent sotherms Extended langmur-lke equatons IAS-Theory VS-Model Mult Comonent-Langmur (MCLAI) Mult Comonent-Ss (MCSIPS) Mult Comonent-DSLAI (MCDSLAI) IAST wth Langmur IAST wth Toth IAST wth DSLAI VS-Modell wth Wlson q q m b j x b, x MCSIPS j j A RT n Isotherm( n d const. o ) redctve calculatons wth 3P-Sm ossble

13 3 General Soluton Algorthm for IAST RT A d n X Y Y X Nonlnear Equaton System can be solved by Newton Algorthm Formulaton of equaton system Buld u of Jacoban matrx J N f N f f f f ,,, FKTN J Solvng of ln. Equaton system by Gaussan elmnaton Calculate of negatve Functons (as vector),,,,, N N N N Defne startng Values (as vector).,.., FKT FKT Calculate a new vector The whole rocedure wll be reeated tll N N,, = Most Imortant Problem: Fndng of sutable startng values for convergence! Hnt: Testng the soluton by nsertng nto equaton system

14 General Soluton Algorthm for IAST Examle wth Langmur (3 Comonents) Formulaton of equaton system and elmnaton of X Buld u of Jacoban matrx J,,, FKTN J Solvng of ln. Equaton system by Gaussan elmnaton Calculate of negatve Functons (as vector),,,,, N N N N Defne startng Values (as vector) 3 The whole rocedure wll be reeated tll N N,, = Hnt: In case of Langmur sotherm an analytcal soluton exsts: b b n b b n b b n Y Y Y m m m b b n b b n b b n Y Y Y m m m ln ln ln b n b n b n Y Y Y m m m ex ex ex 3 3 m m m n Y n Y n Y

15 Mxture Equlbra - Calculatons Calculatons of mxture data wth 3P-Sm Recommendatons for ure comonents. Fttng of ure comonent data at same temerature for all comonents. All data as table - ressure / bar (mbar) and adsorbed amount / mmol g - 3. All comonents must be ftted wth same sotherm model TYP I: Langmur, SIPS, Toth, DSLangmur, DSLangmurSIPS Ty II: (Freundlch) Ty IV, V: DSLangmurSIPS, (DSLangmur), (SIPS) 5 IUPAC Techncal Reort, Pure Al. Chem. 5; 87(9-),

16 Mxture Equlbra - Calculatons Calculatons of mxture data wth 3P-Sm fttng of ure comonents ) Coy equlbrum data from EXCEL ) Choce of a sutable sotherm model 3) Fttng the Model to get model arameter Examle: CO, CH on NaMSX at C 6

17 Mxture Equlbra - Calculatons Calculatons of mxture data wth 3P-Sm calculaton of mxture data ) Choce of an sotherm model for mxture ) Inut of arameter from ure comonent sotherms 3) Choce of calculaton tye (=const. or Y=const.) The selected mxture model must nclude the ure comonent sotherm model!.e.: wth SIPS only the Multcomonent-SIPS aroach s avalable 7

18 Statc versus Dynamc Methods Statc-volumetrc Method Sorton n closed chamber Measurement of ressure dro Pure comonent sotherms, mxed gas sorton hard to realze Standard characterzaton (BET, Pore volume, ure comonent sotherms) Dynamc Method Sorb HP Sorton n an oen system at constant ressure Tme resolved measurement of effluent gas comoston Manly for mxed gas sorton, ure comonent data only wth some aroaches ossble Techncal rocesses n Labscale Investgatons to techncal relevant arameters (selectvty, sorton knetc, regenerablty, cycle stablty ) mxsorb L 8

19 Measurement Technques Statc Volumetry R.Bazan et al., Adsorton,, 7(), Dosng and mxng of a redefned gas mxture n V by crculaton um Swtch to adsorton chamber V and contnuous mxng by crculaton um Recordng of ressure dro and analyss of gas hase after achevement of equlbrum Calculaton of artal loadng based on mass balance Precalculatons necessary for a desred equlbrum ont 9

20 Measurement Technques Headsace Headsace Method (HS): Secal case of a statc-volumetrc setu Hgher samle throughut as classcal volumetry Prmarly for vaor mxtures sutable Prncle: Regeneraton under N at 5 C (AC) Sometmes reloadng wth comonent (.e. H O) Loadng of HS-Val wth samle and VOC (wth µl- Syrnge) Equlbraton for several days n temered bath Analyss of gas hase va GC and erformng of a mass balance Headsace GC at INC e.v. M.J.G.Lnders et al., AIChE Journal,, 7(8), Vals Precalculatons necessary for a desred equlbrum ont

21 Measurement Technques Dynamc Setu Flow lot of a setu for the dynamc method Flow through the regenerated samle wth a redefned gas mxture Measurement of data at a secfed ressure and gas comoston Advantage over statc volumetry, no recalculatons necessary A.Möller et al., Adsorton, 6, 3(-3),

22 Measurement Technques Overvew Statc-Volumetrc Headsace Method Dynamc Method Closed Chamber Closed Chamber Oen System no carrer gas necessary Sutable for gas mxtures and vaors no carrer gas necessary Manly for vaors carrer gas necessary, deendng on the routne Sutable for gas mxtures and vaors Exermentally comlex Precalculatons necessary Sequenced exerments hard to erform Precalculatons necessary Sequenced exerments hard to erform No recalculatons necessary Sequenced exerments easy to erform Exerments along the Lnes ossble

23 Measurement Technques Overvew Statc-Volumetrc Headsace Method Dynamc Method Closed Chamber Closed Chamber Oen System no carrer gas necessary Sutable for gas mxtures and vaors no carrer gas necessary Manly for vaors carrer gas necessary, deendng on the routne Sutable for gas mxtures and vaors Exermentally comlex Precalculatons necessary Sequenced exerments hard to erform Precalculatons necessary Sequenced exerments hard to erform No recalculatons necessary Sequenced exerments easy to erform Exerments along the Lnes ossble 3

24 Measurement Technques Dynamc Method Balancng of breakthrough exerments rel. breakthrough / % tme-on-stream / s n adsorbed = n n (t)dt n out (t)dt n adsorbed = V n (t) y n(t) V m dt V out (t) y out(t) V m dt Wdely used aroach and smlfcaton for hgh dluted systems: V Out t V t const. In Small changes n concentraton mnmze ths error Hgh dluted systems easer to evaluate

25 Measurement Technques Dynamc Method bnary mxture: CO /He (non-adsorbable carrer gas) Pure comonent equlbra CO /CH (adsorbable carrer gas) Preloadng of samle wth ure CH Incomlete Determnaton of the system (evaluaton mostly smle) Partal loadng for CO (mxture sorton data) ternary mxture: CO /CH /He (non-adsorbable carrer gas) Dslacement of less adsorbed comonent Partal Desorton, Role-U Effects Comlete Determnaton (evaluaton comlex) CO /CH /N (adsorbable carrer gas) Preloadng of samle wth ure N Partal loadng for CO and CH Incomlete ternary mxture data 5

26 Plannng of a Mxture Measurement Calculaton of mxture data desred (Y/N)? Pure comonent sotherms necessary Is a comlete determnaton of the system desred? determnaton of all artal loadngs, dlutng wth Helum-carrer gas (Y/N) Defnton of total flow, concentraton, measurement temerature etc. Samle must be under thermodynamc control (always) Deendng on concentraton range one should consder: Calbraton of sutable analytc technque (always) Check f any aroach s vald,.e. constant gas velocty (always) Samle rearaton and defnton of rearaton condtons Temerature, carrer gas (always) Buld u of a measurement routne ressurzaton, Helum or Adsortve (Helum for comlete determnaton) Evaluaton of the exerment Defnton of measurement task Defnton of measurement condtons Selecton and calbraton of analytcs Measurng and Evaluaton 6

27 Plannng of a Mxture Measurement Calculaton of mxture data desred (Y/N)? Pure comonent sotherms necessary Is a comlete determnaton of the system desred? determnaton of all artal loadngs, dlutng wth Helum-carrer gas (Y/N) Defnton of total flow, concentraton, measurement temerature etc. Samle must be under thermodynamc control (always) Deendng on concentraton range one should consder: Calbraton of sutable analytc technque (always) Check f any aroach s vald,.e. constant gas velocty (always) Samle rearaton and defnton of rearaton condtons Temerature, carrer gas (always) Buld u of a measurement routne ressurzaton, Helum or Adsortve (Helum for comlete determnaton) Evaluaton of the exerment Defnton of measurement task Defnton of measurement condtons Selecton and calbraton of analytcs Measurng and Evaluaton 7

28 Plannng of a Mxture Measurement Calculaton of mxture data desred (Y/N)? Pure comonent sotherms necessary Is a comlete determnaton of the system desred? determnaton of all artal loadngs, dlutng wth Helum-carrer gas (Y/N) Defnton of total flow, concentraton, measurement temerature etc. Samle must be under thermodynamc control (always) Deendng on concentraton range one should consder: Calbraton of sutable analytc technque (always) Check f any aroach s vald,.e. constant gas velocty (always) Samle rearaton and defnton of rearaton condtons Temerature, carrer gas (always) Buld u of a measurement routne ressurzaton, Helum or Adsortve (Helum for comlete determnaton) Evaluaton of the exerment Defnton of measurement task Defnton of measurement condtons Selecton and calbraton of analytcs Measurng and Evaluaton 8

29 Plannng of a Mxture Measurement Calculaton of mxture data desred (Y/N)? Pure comonent sotherms necessary Is a comlete determnaton of the system desred? determnaton of all artal loadngs, dlutng wth Helum-carrer gas (Y/N) Defnton of total flow, concentraton, measurement temerature etc. Samle must be under thermodynamc control (always) Deendng on concentraton range one should consder: Calbraton of sutable analytc technque (always) Check f any aroach s vald,.e. constant gas velocty (always) Samle rearaton and defnton of rearaton condtons Temerature, carrer gas (always) Buld u of a measurement routne ressurzaton, Helum or Adsortve (Helum for comlete determnaton) Evaluaton of the exerment Defnton of measurement task Defnton of measurement condtons Selecton and calbraton of analytcs Measurng and Evaluaton 9

30 Examle of a Measurement Routne Task: Investgaton of a bnary system Actvated Carbon, CO (5%), CH (75%), comlete determnaton at 5 bar. Weghtng the samle and samle rearaton at C, He-flow ml mn - (STP). Defnton of artal ressures:,5 bar CO ; 3,75 bar CH ; 5 bar He; Ʃ bar 3. Gas flows: l mn - (STP) He,,75 l mn - (STP) CH,,5 l mn - (STP) CO. Pressurzaton wth Helum u to bar 5. Start of measurement by smultaneous dosng of CO and CH n Helum 6. Recordng of effluent gas comoston va MS (all comonents!) 7. After breakthrough, regeneraton of samle for determnaton of actvated mass 3

31 Examle of a Measurement Routne Task: Investgaton of a bnary system Actvated Carbon, CO (5%), CH (75%), comlete determnaton at 5 bar Result: Breakthrough curve wth Role-U Effect Includes all artal loadngs Reference on CO =,5 bar and P CH =3,75 bar Mole fracton: y CO =,5; y CH =,75 Helum wll not be consdered! Integraton of areas: n(co ); n(ch ); n(total); a 3

32 An Examle for a Comlete Determned System 5% CO 5% CH n He at C, 5 bar, 5 ml mn - (STP) on D 55/.5 Thermodyn. Model (Mult comonent- SIPS) Y CO =,5 Y CH =,75 P total = bar a Model =3,53 A comlete determned System! Dynamc exerment (determnaton of all artal loadngs) n CO =,86 mmol g - n CH =,7 mmol g - a Exerment =3,63 System s comlete determned, good agreement confrmed deal behavor. 3

33 An Examle for an Incomlete Determned System 5% CO 95% N at C, 5 bar, ml mn - on D 55/.5 Thermodyn. Model (Mult comonent- SIPS) Y CO =,5 Y N =,95 P total =5 bar a Model =5,7 System s not comlete determned! Dynamc Exerment (Determnaton of on artal loadng) n CO =,57 mmol g - n N =not determned a Exerment =not determned System s only ncomlete determned. Model s confrmed by exerment. 33

34 Measurement Technques Dynamc Method Sequence of several breakthrough curves on Actvated Carbon D mole fracton y(co ) / % tme-on-stream t / s Condtons: C, L mn - bar (ressurzaton wth N ) Concentratons: 5 % CO - 8 % CO n N Procedure: Start further breakthroughs after equlbrum before Integraton and summaton results n artal loadng data of CO Volume rato and total ressure defnes the artal ressure of CO Mxed sotherm data of CO n N 3

35 Measurement Technques Dynamc Method Measured artal loadng data for CO on Actvated Carbon D at bar loadng q / mmol g IAST total loadng IAST artal loadng CO IAST artal loadng N ex. CO loadng Dynamc measured data (red) IAST-Model (Ideal Adsorbed Soluton Theory) based on ure comonent sotherms (lnes) Mxture of CO and N shows deal behavor on AC mole fracton y(co ) Determnaton of artal loadng data of CO on AC D by erformng sequentally exerments along constant total ressure. n CO const. FKT Y Y N,, total CO, N 35

36 Measurement Technques Dynamc Method Sequence of several breakthrough curves on Actvated Carbon D Assumton of non-adsorbable Gas,.e. Helum as carrer gas wll lead to ure comonent equlbra. Other, adsorbable gases results n mxture sorton data. mole fracton y(co ) / % tme-on-stream t / s CO /He CO /N loadng q / mmol g -. Sorb HP Toth model dynamc exerment... loadng q / mmol g ressure / bar IAST total loadng IAST artal loadng CO IAST artal loadng N ex. CO loadng mole fracton y(co ) 36

37 Vaor Mxture Measurement Dynamc Method % EtOH,5% H O (arox. 8% RH) n N at 5 C, bar, ml/mn on NaMSX Thermodyn. Model (IAST-DSLAI) Y EtOH =,3 Y HO =,678 P total =.33 bar a Model > Dynamc exerment (determnaton of all artal loadngs) n EtOH = ca. mmol g - n HO =,9 mmol g - a Exerment =not determned (>) Very hgh selectvty of model confrmed by exerment 37

38 Vaor Mxture Measurement Dynamc Method % EtOH,5% H O (arox. 8% RH) n N at 5 C, bar, ml/mn on D 55/.5 Thermodyn. Model (IAST-DSLAISIPS) Y EtOH =,86 Y HO =,7 P total =.35 bar Dynamc exerment (determnaton of all artal loadngs) n EtOH = 3,8 mmol g - n HO = 3, mmol g - a Model =,9 a Exerment =3, Devaton between model and exerment no redcton, exerment necessary! 38

39 Comarable Measurements of Mxture Sorton 5% Proane 5% Proylene n He at 5 C, 5 bar, ml/mn on A, A, A Gas Comoston Y / Proylene Proane Gas Comoston Y / Proylene Proane Gas Comoston Y / Proylene Proane. 5 5 tme / mn Samle: A. 5 5 tme / mn Samle: A. 5 5 tme / mn Samle: A3 Y Proane =,5 Y Proylene =,75 n Proane =,3 mmol g - n Proylene =,6 mmol g - a Proylene =,67 Y Proane =,5 Y Proylene =,75 n Proane =, mmol g - n Proylene =,7 mmol g - a Proylene =,83 Y Proane =,5 Y Proylene =,75 n Proane = ca. mmol g - n Proylene =, mmol g - a Proylene = not determned (>) Selectvty Statements on selectvty also ossble wthout modelng from ure comonent data Determnaton of sorton caactes and selectvtes, recordng of knetc 39

40 Relevance for materals / scence and roducton Assessment of orous materals R&D of talor made materals for certan searaton ssues Evaluaton of Influence of some secondary comonents Relevance for engneerng / Process desgn Modelng and Calculaton of fxed bed adsorbers Determnaton of Knetcs (Lnear drvng force constants) Calculaton of breakthrough curves, uscalng by modelng Calculaton of PSA and TSA rocesses Zeolte for gas urfcaton Source: Process gas urfcaton lant source

41 Relevance for materals / scence and roducton Assessment of orous materals R&D of talor made materals for certan searaton ssues Evaluaton of Influence of some secondary comonents Relevance for engneerng / Process desgn Modelng and Calculaton of fxed bed adsorbers Determnaton of Knetcs (Lnear drvng force constants) Calculaton of breakthrough curves, uscalng by modelng Calculaton of PSA and TSA rocesses Zeolte for gas urfcaton Source: Process gas urfcaton lant source

42 Inut Parameters Isotherms Knetcs Heat of adsorton and heat caactes Co-adsorton Adsorber dmensons Smulaton model Heat transfer Feed flow, Feed ressure Product urty Cycle duraton, ressure range Red: roertes of adsorbent/adsortve system Black: roertes of adsorber and adsorber wall

43 Knetc consderatons - Mass Transfer coeffcent kldf Pore Dffuson Convecton, Dffuson Flm Dffuson Adsorbate Adsortve Adsorbent Convecton, Dffuson Adsorton LDF concentraton c loadng q KNUDSEN Dffuson Surface Dffuson Convecton, Dffuson Pore Flm Dffuson Free Dffuson Smlfcaton Effectve Inner Mass Transfer, Lnear Drvng Force (LDF) Adsorton dstance r 3

44 Mass Balance LDF aroach Equaton for velocty / overall mass balance (sothermal) * A.M. Rbero et. al, Chem. Eng. Sc. 63 (8) * D.M. Ruthven, Prncles of Adsorton (98) * M.S. Shafeeyan et. al, Chem. Eng. Res. Des. 9 () Energy Balances wall to envronment accumulaton generaton convecton transfer to wall dserson accumulaton dserson convecton,,,, z u C z C u z C Dax t q t C g g g Part g w g w g g g g g g art g n art T T d h z u cg T z T cg u t T cg cs z T t q M H gas to wall accumulaton Env w g wl w w w g w w T T U t T cw T T h a a LDF q q k t q * Isotherms f q * Change by adsorton t t q M RT z u n art Change by comresson

45 adsorbed amount / mmol g - adsorbed amount / mmol ḡ Relacement effects CO sotherms on D 55/.5 ressure / bar CH at C CH at C CH at 6 C SIPS 5 5 ressure / bar CO at C CO at C CO at 6 C SIPS CH sotherms on D 55/.5 Inut ure comonent Isotherms Fttng k LDF Fttng Heat Transfer Coeff. adsorbed amount / mmol g - Gas Comoston Y / - CO /CH mxture sotherms on D 55/ n total MCSIPS n CO MCSIPS n CH MCSIPS CH exerment CO exerment 3 5 ressure / bar Breakthrough of a mxture CO /CH n He CH CO calculated curves. 5 5 tme / mn 5% CO 5% CH n He at C, 5 bar, 5 ml/mn on D 55/.5 5

46 Relacement effects Temerature rofles Use of ntegral heat of adsorton wth Ss model (from sotherms): q K q s, q K max,, K t n t K j c j j c Q ex R T T Q (equvalent to H Q=,5 ) Q CO : 5.9 kj mol - Q CH :.9 kj mol - T ex T max, qmax,, t t T a T, j Fttng Heat Transfer Coeff. h w : ~ 3 W m - K - (Gas, Fxed Bed/Wall) U g : ~ W m - K - (Wall/Lqud) Inut Q n energy balance temerature / C Temerature rofles along the fxed bed tme / mn T (3 mm) T (5 mm) calculated curves 5% CO 5% CH n He at C, 5 bar, 5 ml/mn on D 55/.5 CH nduced hgher temerature effect Model can descrbe temerature rofles qualtatvely Underestmaton of temerature eaks Exerment shows mostly sharer temerature rofles dfferences due to smlfcaton of no radal gradents radal gradents n exerment exected due to external lqud coolng

47 Examle: CO Adsorton on D55/.5 n N -Carrer Gas amount of CO / Vol.% mn ADS tme / mn DES CO Observatons: ) Desorton curve flatter than Adsorton curve ) Desorton tme hgher than Adsorton tme 3) Adsorton tme 5.78 mn (c out <. %) Questons concernng: ) Knetc arameter (k LDF ) ) Total ressure durng each ste 3) Adsorton/Desorton tmes Adsorton: 5% CO n N at C, 5 bar, ml/mn on D 55/.5 ) Purge flow durng Desorton Desorton: Purgng wth ml/mn N at C, 5 bar 7

48 Regeneraton / PSA Gas Comoston Y / -.5 CO calculated curves mn tme / mn 5% CO 95% N at C, 5 bar, ml/mn on D 55/.5 Model after Fttng Isotherms (MCSIPS) Knetc arameter (k LDF ) Heat Transfer Parameter Model can consder slower Desorton due to curved sotherm Parameter from Exerment: Adsorton tme 5.78 mn Adsorton ressure 5 bar Feed Flow ml/mn Purge Flow ml/mn ure N General Requrements for PSA: Purge Flow 5 ml/mn ure N Desorton n counter current flow Max. CO content n roduct % Queston concernng: ) Desorton ressure? 8

49 Regeneraton / PSA Cycle tmes for modelng: Adsorton tme 5.78 mn Desorton tme 5.3 mn Calculatng 5 Cycles Cycle tmes for Exerment: Adsorton tme bar Blow Down tme ~.5 mn Desorton tme.75 mn Pressurzaton to.6 bar wth N Pressurzaton from.6 bar to 5 bar wth Feed Measurement of 5 cycles CO / Vol.% Calculatons wth DES = bar Predctons by modelng: Regeneraton condtons not strong enough CO murty n effluent flow ncreases from cycle to cycle to ~ 3 % tme / mn 9

50 Regeneraton / PSA Cycle tmes for modelng: Adsorton tme 5.78 mn Desorton tme 5.3 mn Calculatng 5 Cycles Cycle tmes for Exerment: Adsorton tme bar Blow Down tme ~.5 mn Desorton tme.75 mn Pressurzaton to.6 bar wth N Pressurzaton from.6 bar to 5 bar wth Feed Measurement of 5 cycles CO / Vol.% Calculatons wth DES = bar Predctons by modelng: Regeneraton condtons not strong enough CO murty n effluent flow ncreases from cycle to cycle to ~ 3 % tme / mn Predctons were confrmed by exerment 5

51 Regeneraton / VPSA Cycle tmes for modelng: Cycle tmes for Exerment: Adsorton tme 5.78 mn Desorton tme 5.3 mn Calculatng 5 Cycles Adsorton tme bar Blow Down tme ~.5 mn Desorton tme.75 mn Pressurzaton to.6 bar wth N Pressurzaton from.6 bar to 5 bar wth Feed Measurement of 5 cycles CO / Vol. % Calculatons wth DES =.5 bar Predctons by modelng: Regeneraton condtons good enough CO murty n effluent flow ncreases from cycle to cycle, but stll below target (<%) tme / mn 5

52 Regeneraton / VPSA Cycle tmes for modelng: Cycle tmes for Exerment: Adsorton tme 5.78 mn Desorton tme 5.3 mn Calculatng 5 Cycles Adsorton tme bar Blow Down tme ~.5 mn Desorton tme.75 mn Pressurzaton to.6 bar wth N Pressurzaton from.6 bar to 5 bar wth Feed Measurement of 5 cycles CO / Vol. % Calculatons wth DES =.5 bar Predctons by modelng: Regeneraton condtons good enough CO murty n effluent flow ncreases from cycle to cycle, but stll below target (<%) tme / mn Predctons were confrmed by exerment 5

53 Regeneraton / VPSA Cycle tmes for modelng: Adsorton tme 5.78 mn Desorton tme 5.3 mn Calculatng 5 Cycles Cycle tmes for Exerment: Adsorton tme bar Blow Down tme ~.5 mn Desorton tme.75 mn Pressurzaton to.6 bar wth N Pressurzaton from.6 bar to 5 bar wth Feed Measurement of 5 cycles But: modelng dvers from exerment! model CO / Vol. %..8 Cycle Stes n modelng strong smlfed Varatons exerment from model manly n desorton art ex Modelng can hel to reduce exermental effort fnal evaluaton only by exerment! tme / mn 53

54 C 3 H 8 removal from CH (artal ressure range. bar and.5 bar) Selecton of actvated carbon wth dfferent BET-Surfaces, but from same raw materal AC BET ~8 m /g AC BET ~3 m /g CH sotherms on AC and AC at C C 3 H 8 sotherms on AC and AC at C adsorbed amount / mmol g ressure / bar AC AC SIPS adsorbed adsorbed amount amount /mmol /mmol g ḡ E ressure / bar / bar Often AC wth hgher BET wll be selected by user whch s not always the best decson! accordng to sotherms AC s better for low C 3 H 8 concentratons for hgh C 3 H 8 concentratons AC s better 5 AC AC SIPS AC AC SIPS

55 C 3 H 8 removal from CH (artal ressure range. bar and.5 bar) Selecton of actvated carbon wth dfferent BET-Surfaces, but from same raw materal AC BET ~8 m /g AC BET ~3 m /g. breakthrough of % C 3 H 8 n CH at C, bar 5 breakthrough of 5% C 3 H 8 n CH at C, bar.8 C 3 H 8 / Vol. %.6. AC AC smulaton C 3 H 8 / Vol. % 3 AC AC smulaton secfc tme / mn g secfc tme / mn g - Breakthrough exerments and smulatons very senstve for low concentratons! Observatons made from sotherms were confrmed by dynamc exerments and calculatons 55

56 Calculaton of Constant Pattern Profles For favored sotherms (Tye I-Isotherms) a Constant Pattern Behavor can occur Shae of breakthrough wll not change for longer elongaton tmes or adsorber heghts, resectvely Based on comensaton of flattenng and rsng effects Heght for Constant Pattern = f(shae of Isotherm, Dserson, Knetcs) CO / Vol.% 5 3 Exerment ( cm) calculated curve Sloe for C/C =.5 3 tme / mn 5% CO n He at C, 5 bar, ml/mn on D 55/.5 CO /Vol.% tme / mn 5 cm cm cm 3 cm cm 6 cm 8 cm sloes Sloe at C/C = Sloe at C/C = heght of fxed bed / cm Exerment carred out at cm, smulatons were erformed for dfferent heghts Sloes at C/C =.5 were used to evaluate steeness of breakthrough curves Constant Pattern Behavor can be exect above cm bed heght 56

57 Conclusons Equlbra of mxtures and selectvtes are mortant for alcatons Knowledge of such data are hghly valuable and of great nterest however much more dffcult to measure There s a lack of data n lterature Mxture equlbra can not calculated by textural roertes but artal redctve from ure comonent sotherms based on classcal thermodynamc Models. Predctons have some lmts! Number of comonents, vaors, non-deal systems, exerments are mandatory Mxture Models necessary for calculatons of dynamc rocesses 57

58 Thank you for your attenton! Please vst our webste for further nformaton va E-Mal on 58

59 59

Investigation of Mixed Gas Sorption in Lab-Scale. Dr. Andreas Möller

Investigation of Mixed Gas Sorption in Lab-Scale. Dr. Andreas Möller Investigation of Mixed Gas Sorption in Lab-Scale Dr. Andreas Möller 1 Technical Necessity: Application of porous Materials as Adsorbents Fine cleaning of Gases (i.e. purification of H 2, natural gas, bio

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

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

MASS TRANSFER Lesson 1 BY DR. ARI SEPPÄLÄ AALTO UNIVERSITY

MASS TRANSFER Lesson 1 BY DR. ARI SEPPÄLÄ AALTO UNIVERSITY SS TRNSFER 2015 Lesson 1 BY DR. RI SEPPÄLÄ LTO UNIVERSITY Structure of the course 6 lessons by r Seälä and Tuula Noonen 5 excercse lessons (one homework roblem n each excercse) by Votto Kotaho (1/6 onts)

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

Non-Ideality Through Fugacity and Activity

Non-Ideality Through Fugacity and Activity Non-Idealty Through Fugacty and Actvty S. Patel Deartment of Chemstry and Bochemstry, Unversty of Delaware, Newark, Delaware 19716, USA Corresondng author. E-mal: saatel@udel.edu 1 I. FUGACITY In ths dscusson,

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

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur Analyss of Varance and Desgn of Exerments-I MODULE III LECTURE - 2 EXPERIMENTAL DESIGN MODELS Dr. Shalabh Deartment of Mathematcs and Statstcs Indan Insttute of Technology Kanur 2 We consder the models

More information

Confidence intervals for weighted polynomial calibrations

Confidence intervals for weighted polynomial calibrations Confdence ntervals for weghted olynomal calbratons Sergey Maltsev, Amersand Ltd., Moscow, Russa; ur Kalambet, Amersand Internatonal, Inc., Beachwood, OH e-mal: kalambet@amersand-ntl.com htt://www.chromandsec.com

More information

Lecture 3 Examples and Problems

Lecture 3 Examples and Problems Lecture 3 Examles and Problems Mechancs & thermodynamcs Equartton Frst Law of Thermodynamcs Ideal gases Isothermal and adabatc rocesses Readng: Elements Ch. 1-3 Lecture 3, 1 Wllam Thomson (1824 1907) a.k.a.

More information

Thermo-Calc Software. Modelling Multicomponent Precipitation Kinetics with CALPHAD-Based Tools. EUROMAT2013, September 8-13, 2013 Sevilla, Spain

Thermo-Calc Software. Modelling Multicomponent Precipitation Kinetics with CALPHAD-Based Tools. EUROMAT2013, September 8-13, 2013 Sevilla, Spain Modellng Multcomponent Precptaton Knetcs wth CALPHAD-Based Tools Kasheng Wu 1, Gustaf Sterner 2, Qng Chen 2, Åke Jansson 2, Paul Mason 1, Johan Bratberg 2 and Anders Engström 2 1 Inc., 2 AB EUROMAT2013,

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

Chapter 13: Multiple Regression

Chapter 13: Multiple Regression Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to

More information

Chapter 8 Balances on Nonreactive Processes 8.1 Elements of Energy Balances Calculations 8.1a Reference States A Review

Chapter 8 Balances on Nonreactive Processes 8.1 Elements of Energy Balances Calculations 8.1a Reference States A Review Chater 8 Balances on Nonreactve Processes 8.1 Elements of Energy Balances Calculatons 8.1a Reference States A Revew We can never know the absolute values of U and H for a seces at a gven state. t Fortunately,

More information

[O5A.1] Ethanol pervaporation through high-silica MFI zeolite membrane T. Leppäjärvi*, I. Malinen, J. Tanskanen University of Oulu, Finland

[O5A.1] Ethanol pervaporation through high-silica MFI zeolite membrane T. Leppäjärvi*, I. Malinen, J. Tanskanen University of Oulu, Finland Introducton [OA.] Ethanol ervaoraton through hgh-slca MFI zeolte membrane. Leäjärv I. Malnen. anskanen Unversty o Oulu Fnland he exact transort and searaton mechansms n ervaoraton are not ully understood

More information

Hans-Joachim Kretzschmar and Katja Knobloch

Hans-Joachim Kretzschmar and Katja Knobloch Sulementary Backward Equatons for the Industral Formulaton IAPWS-IF of Water and Steam for Fast Calculatons of Heat Cycles, Bolers, and Steam Turbnes Hans-Joachm Kretzschmar and Katja Knobloch Deartment

More information

Turbulent Nonpremixed Flames

Turbulent Nonpremixed Flames School of Aerospace Engneerng Turbulent Nonpremxed Flames Jerry Setzman. 5 Mole Fracton.15.1.5 CH4 HO HCO x 1 Temperature Methane Flame.1..3 Dstance (cm) 15 1 5 Temperature (K) TurbulentNonpremxed -1 School

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

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

Airflow and Contaminant Simulation with CONTAM

Airflow and Contaminant Simulation with CONTAM Arflow and Contamnant Smulaton wth CONTAM George Walton, NIST CHAMPS Developers Workshop Syracuse Unversty June 19, 2006 Network Analogy Electrc Ppe, Duct & Ar Wre Ppe, Duct, or Openng Juncton Juncton

More information

Evaluating Thermodynamic Properties in LAMMPS

Evaluating Thermodynamic Properties in LAMMPS D. Keffer ME 64 Det. of Materals cence & Engneerng Unversty of ennessee Knoxvlle Evaluatng hermodynamc Proertes n LAMMP Davd Keffer Deartment of Materals cence & Engneerng Unversty of ennessee Knoxvlle

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

Lecture # 02: Pressure measurements and Measurement Uncertainties

Lecture # 02: Pressure measurements and Measurement Uncertainties AerE 3L & AerE343L Lecture Notes Lecture # 0: Pressure measurements and Measurement Uncertantes Dr. Hu H Hu Deartment of Aerosace Engneerng Iowa State Unversty Ames, Iowa 500, U.S.A Mechancal Pressure

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

ME 440 Aerospace Engineering Fundamentals

ME 440 Aerospace Engineering Fundamentals Fall 006 ME 440 Aerosace Engneerng Fundamentals roulson hrust Jet Engne F m( & Rocket Engne F m & F ρ A - n ) ρ A he basc rncle nsde the engne s to convert the ressure and thermal energy of the workng

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

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

ESA modelling and cycle design

ESA modelling and cycle design ESA modellng and cycle desgn WP and WP 5 Unversty of Belgrade MATESA Dssemnaton day, Oslo 16.6.016 Motvaton Develop rgorous 3D models (CFD) to understand the processes, examne the nfluence of condtons

More information

Modeling of CO 2. Adsorption on Activated Carbon and 13X Zeolite via Vacuum Swing Adsorption. IOP Conference Series: Materials Science and Engineering

Modeling of CO 2. Adsorption on Activated Carbon and 13X Zeolite via Vacuum Swing Adsorption. IOP Conference Series: Materials Science and Engineering IOP Conference Seres: Materals Scence and Engneerng PAPER OPEN ACCESS Modelng of CO Adsorpton on and 3X Zeolte va Vacuum Swng Adsorpton To cte ths artcle: M H Zarghampoor et al 7 IOP Conf. Ser.: Mater.

More information

Machine Learning. Classification. Theory of Classification and Nonparametric Classifier. Representing data: Hypothesis (classifier) Eric Xing

Machine Learning. Classification. Theory of Classification and Nonparametric Classifier. Representing data: Hypothesis (classifier) Eric Xing Machne Learnng 0-70/5 70/5-78, 78, Fall 008 Theory of Classfcaton and Nonarametrc Classfer Erc ng Lecture, Setember 0, 008 Readng: Cha.,5 CB and handouts Classfcaton Reresentng data: M K Hyothess classfer

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

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

This column is a continuation of our previous column

This column is a continuation of our previous column Comparson of Goodness of Ft Statstcs for Lnear Regresson, Part II The authors contnue ther dscusson of the correlaton coeffcent n developng a calbraton for quanttatve analyss. Jerome Workman Jr. and Howard

More information

Lecture 12. Transport in Membranes (2)

Lecture 12. Transport in Membranes (2) Lecture 12. Transport n embranes (2) odule Flow Patterns - Perfect mxng - Countercurrent flow - Cocurrent flow - Crossflow embrane Cascades External ass-transfer Resstances Concentraton Polarzaton and

More information

CHE-201. I n t r o d u c t i o n t o Chemical E n g i n e e r i n g. C h a p t e r 6. Multiphase Systems

CHE-201. I n t r o d u c t i o n t o Chemical E n g i n e e r i n g. C h a p t e r 6. Multiphase Systems I n t r o d u c t o n t o Chemcal E n g n e e r n g CHE-201 I N S T R U C T O R : D r. N a b e e l S a l m b o - G h a n d e r C h a t e r 6 Multhase Systems Introductory Statement: Phase s a state of

More information

Answers Problem Set 2 Chem 314A Williamsen Spring 2000

Answers Problem Set 2 Chem 314A Williamsen Spring 2000 Answers Problem Set Chem 314A Wllamsen Sprng 000 1) Gve me the followng crtcal values from the statstcal tables. a) z-statstc,-sded test, 99.7% confdence lmt ±3 b) t-statstc (Case I), 1-sded test, 95%

More information

THERMODYNAMICS. Temperature

THERMODYNAMICS. Temperature HERMODYNMICS hermodynamcs s the henomenologcal scence whch descrbes the behavor of macroscoc objects n terms of a small number of macroscoc arameters. s an examle, to descrbe a gas n terms of volume ressure

More information

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

Fuzzy approach to solve multi-objective capacitated transportation problem

Fuzzy approach to solve multi-objective capacitated transportation problem Internatonal Journal of Bonformatcs Research, ISSN: 0975 087, Volume, Issue, 00, -0-4 Fuzzy aroach to solve mult-objectve caactated transortaton roblem Lohgaonkar M. H. and Bajaj V. H.* * Deartment of

More information

Managing Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration

Managing Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration Managng Caacty Through eward Programs on-lne comanon age Byung-Do Km Seoul Natonal Unversty College of Busness Admnstraton Mengze Sh Unversty of Toronto otman School of Management Toronto ON M5S E6 Canada

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

Lecture Notes on Linear Regression

Lecture Notes on Linear Regression Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume

More information

Mathematical Modeling of a Lithium Ion Battery

Mathematical Modeling of a Lithium Ion Battery Ecert from the Proceedngs of the COMSOL Conference 9 Boston Mathematcal Modelng of a Lthum Ion Battery Long Ca and Ralh E. Whte * Deartment of Chemcal Engneerng Unversty of South Carolna *Corresondng author:

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Finite Element Modelling of truss/cable structures

Finite Element Modelling of truss/cable structures Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures

More information

1. Mathematical models of the chromatographic process

1. Mathematical models of the chromatographic process 1. athematcal models of the chromatographc process - What determnes retenton tme n L? - What causes pea broadenng n L? - Why are the L peas often asymmetrc? - Why s partton chromatography much more popular

More information

A Quadratic Cumulative Production Model for the Material Balance of Abnormally-Pressured Gas Reservoirs F.E. Gonzalez M.S.

A Quadratic Cumulative Production Model for the Material Balance of Abnormally-Pressured Gas Reservoirs F.E. Gonzalez M.S. Formaton Evaluaton and the Analyss of Reservor Performance A Quadratc Cumulatve Producton Model for the Materal Balance of Abnormally-Pressured as Reservors F.E. onale M.S. Thess (2003) T.A. Blasngame,

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

H 2 Purification by Pressure Swing Adsorption using CuBTC

H 2 Purification by Pressure Swing Adsorption using CuBTC Deartamento de Enenhara Qímca Ra Dr. Roberto Fras S/N 42-465 Porto Portal htt://lsre.fe..t lsre@fe..t H 2 Prfcaton by Pressre Swn Adsorton sn B Ana M. Rbero (a) Brna Slva (a) Ioan Solomon (a) U-Hwan Lee

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

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

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850)

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850) hermal-fluds I Chapter 18 ransent heat conducton Dr. Prmal Fernando prmal@eng.fsu.edu Ph: (850) 410-6323 1 ransent heat conducton In general, he temperature of a body vares wth tme as well as poston. In

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

Solution Thermodynamics

Solution Thermodynamics Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs

More information

A Quadratic Cumulative Production Model for the Material Balance of Abnormally-Pressured Gas Reservoirs F.E. Gonzalez M.S.

A Quadratic Cumulative Production Model for the Material Balance of Abnormally-Pressured Gas Reservoirs F.E. Gonzalez M.S. Natural as Engneerng A Quadratc Cumulatve Producton Model for the Materal Balance of Abnormally-Pressured as Reservors F.E. onale M.S. Thess (2003) T.A. Blasngame, Texas A&M U. Deartment of Petroleum Engneerng

More information

Diffusion Mass Transfer

Diffusion Mass Transfer Dffuson Mass Transfer General onsderatons Mass transfer refers to mass n transt due to a speces concentraton gradent n a mture. Must have a mture of two or more speces for mass transfer to occur. The speces

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

Physics 207 Lecture 27

Physics 207 Lecture 27 hyscs 07 Lecture 7 hyscs 07, Lecture 7, Dec. 6 Agenda: h. 0, st Law o Thermodynamcs, h. st Law o thermodynamcs ( U Q + W du dq + dw ) Work done by an deal gas n a ston Introducton to thermodynamc cycles

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

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

Modeling of diffusion and chemical reactions in ion-exchange resins during swelling and shrinking

Modeling of diffusion and chemical reactions in ion-exchange resins during swelling and shrinking Modelng of dffuson and chemcal reactons n on-exchange resns durng swellng and shrnkng Tuomo ano * and Erkk Paatero, Laeenranta Unversty of Technology, Laboratory of Industral Chemstry, knnarlankatu 34,

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

More information

Application of Finite Element Method (FEM) Instruction to Graduate Courses in Biological and Agricultural Engineering

Application of Finite Element Method (FEM) Instruction to Graduate Courses in Biological and Agricultural Engineering Sesson: 08 Applcaton of Fnte Element Method (FEM) Instructon to Graduate Courses n Bologcal and Agrcultural Engneerng Chang S. Km, Terry H. Walker, Caye M. Drapcho Dept. of Bologcal and Agrcultural Engneerng

More information

Concrete strength evaluation using fracture mechanics technology

Concrete strength evaluation using fracture mechanics technology (016) DOI: 10.1051/ matecconf/0168601014 IPICSE-016 Concrete strength evaluaton usng fracture mechancs technology Valery Poov 1, Dmtry Poov 1, and Anna Davdenko 1. 1 Samara State Techncal Unversty, Insttute

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

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

Priority Queuing with Finite Buffer Size and Randomized Push-out Mechanism

Priority Queuing with Finite Buffer Size and Randomized Push-out Mechanism ICN 00 Prorty Queung wth Fnte Buffer Sze and Randomzed Push-out Mechansm Vladmr Zaborovsy, Oleg Zayats, Vladmr Muluha Polytechncal Unversty, Sant-Petersburg, Russa Arl 4, 00 Content I. Introducton II.

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

DEVELOPMENT OF A MATHEMATICAL MODEL FOR SIMULATION OF COAL CRUSHING IN A HAMMER MILL

DEVELOPMENT OF A MATHEMATICAL MODEL FOR SIMULATION OF COAL CRUSHING IN A HAMMER MILL Proceedngs of the XI Internatonal Semnar on Mneral Processng Technology (MPT-200) Edtors: R. Sngh, A. Das, P.K. Baneree, K.K. Bhattacharyya and N.G. Goswam NML Jamshedur,. 343 349 DEVELOPMENT OF A MATHEMATICAL

More information

1.72, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #3: Hydraulic Head and Fluid Potential. p o. p o + p

1.72, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #3: Hydraulic Head and Fluid Potential. p o. p o + p 1.7, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #3: Hydraulc Head and Flud Potental What makes water flow? Consder ressure Water Level o A Water Level C o o + B Pressure at A atmosherc (

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

and Statistical Mechanics Material Properties

and Statistical Mechanics Material Properties Statstcal Mechancs and Materal Propertes By Kuno TAKAHASHI Tokyo Insttute of Technology, Tokyo 15-855, JAPA Phone/Fax +81-3-5734-3915 takahak@de.ttech.ac.jp http://www.de.ttech.ac.jp/~kt-lab/ Only for

More information

Linear Feature Engineering 11

Linear Feature Engineering 11 Lnear Feature Engneerng 11 2 Least-Squares 2.1 Smple least-squares Consder the followng dataset. We have a bunch of nputs x and correspondng outputs y. The partcular values n ths dataset are x y 0.23 0.19

More information

Amiri s Supply Chain Model. System Engineering b Department of Mathematics and Statistics c Odette School of Business

Amiri s Supply Chain Model. System Engineering b Department of Mathematics and Statistics c Odette School of Business Amr s Supply Chan Model by S. Ashtab a,, R.J. Caron b E. Selvarajah c a Department of Industral Manufacturng System Engneerng b Department of Mathematcs Statstcs c Odette School of Busness Unversty of

More information

Methodological Aspects of the Calculation of the Adiabatic Combustion Temperature of Carbon

Methodological Aspects of the Calculation of the Adiabatic Combustion Temperature of Carbon World Aled Scences Journal 24 (): 483-488, 203 ISSN 88-4952 IDOSI Publcatons, 203 DOI: 0.5829/dos.wasj.203.24..703 Methodologcal Asects of the Calculaton of the Adabatc Combuston emerature of Carbon Alexander

More information

6. Hamilton s Equations

6. Hamilton s Equations 6. Hamlton s Equatons Mchael Fowler A Dynamcal System s Path n Confguraton Sace and n State Sace The story so far: For a mechancal system wth n degrees of freedom, the satal confguraton at some nstant

More information

Chapter 3 The Kinetic Theory of Gases 3.1. Ideal Gases Experimental Laws and the Equation of State

Chapter 3 The Kinetic Theory of Gases 3.1. Ideal Gases Experimental Laws and the Equation of State Chater 3 The Knetc Theory of Gases 3.1. Ideal Gases 3.1.1. Exermental Laws and the Equaton of State 3.1.2. Molecular Model of an Ideal Gas 3.3. Mean Free Path 3.4. The Boltzmann Dstrbuton Law and The Dstrbuton

More information

Bayesian Decision Theory

Bayesian Decision Theory No.4 Bayesan Decson Theory Hu Jang Deartment of Electrcal Engneerng and Comuter Scence Lassonde School of Engneerng York Unversty, Toronto, Canada Outlne attern Classfcaton roblems Bayesan Decson Theory

More information

Statistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA

Statistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA 14 th Internatonal Users Conference Sesson: ALE-FSI Statstcal Energy Analyss for Hgh Frequency Acoustc Analyss wth Zhe Cu 1, Yun Huang 1, Mhamed Soul 2, Tayeb Zeguar 3 1 Lvermore Software Technology Corporaton

More information

Feb 14: Spatial analysis of data fields

Feb 14: Spatial analysis of data fields Feb 4: Spatal analyss of data felds Mappng rregularly sampled data onto a regular grd Many analyss technques for geophyscal data requre the data be located at regular ntervals n space and/or tme. hs s

More information

Convection Heat Transfer. Textbook: Convection Heat Transfer. Reference: Convective Heat and Mass Transfer. Convection Heat Transfer

Convection Heat Transfer. Textbook: Convection Heat Transfer. Reference: Convective Heat and Mass Transfer. Convection Heat Transfer Convecton Heat Transfer Tetbook: Convecton Heat Transfer Adran Bean, John Wley & Sons Reference: Convectve Heat and Mass Transfer Kays, Crawford, and Wegand, McGraw-Hll Convecton Heat Transfer Vedat S.

More information

Be true to your work, your word, and your friend.

Be true to your work, your word, and your friend. Chemstry 13 NT Be true to your work, your word, and your frend. Henry Davd Thoreau 1 Chem 13 NT Chemcal Equlbrum Module Usng the Equlbrum Constant Interpretng the Equlbrum Constant Predctng the Drecton

More information

Basic Statistical Analysis and Yield Calculations

Basic Statistical Analysis and Yield Calculations October 17, 007 Basc Statstcal Analyss and Yeld Calculatons Dr. José Ernesto Rayas Sánchez 1 Outlne Sources of desgn-performance uncertanty Desgn and development processes Desgn for manufacturablty A general

More information

Journal of Separation Science and Engineering Vol. 1, No. 1, 2009, pp MATLAB

Journal of Separation Science and Engineering Vol. 1, No. 1, 2009, pp MATLAB Journal of Separaton Scence and Engneerng Vol. 1, No. 1, 29, pp. 1-11.. /.. 5 (... MT.. : : 5 ( ;...... [ ]. MT.. -٢ PS. PS........ ( (. /. -١ ( Pressure Swng dsorpton, PS...[ ]. Skarstrom..[ ] PS... :....[

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

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

LNG CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS

LNG CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS CONTENTS 1. Method for determnng transferred energy durng cargo transfer. Calculatng the transferred energy.1 Calculatng the gross transferred energy.1.1

More information

A New Steps Sequence Table to Improve the Performance of the Jam Petrochemical H 2 -PSA Industrial Plant

A New Steps Sequence Table to Improve the Performance of the Jam Petrochemical H 2 -PSA Industrial Plant The 14 th Natnal Chemcal Engneerng Congress (IChEC 01) Sharf Unversty of Technology, Tehran, Iran, 16-18 October, 01 A New Steps Sequence Table to Improve the Performance of the Jam Petrochemcal H -PSA

More information

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH Turbulence classfcaton of load data by the frequency and severty of wnd gusts Introducton Oscar Moñux, DEWI GmbH Kevn Blebler, DEWI GmbH Durng the wnd turbne developng process, one of the most mportant

More information

Isothermal vs. adiabatic compression

Isothermal vs. adiabatic compression Isothermal vs. adabatc comresson 1. One and a half moles of a datomc gas at temerature 5 C are comressed sothermally from a volume of 0.015 m to a volume of 0.0015 m. a. Sketch the rocess on a dagram and

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

ENV05: METROLOGY FOR OCEAN SALINITY AND ACIDITY

ENV05: METROLOGY FOR OCEAN SALINITY AND ACIDITY Kck-off meetng EMRP ENV5 Ocean Metrology - Setember, PB Berln ENV5: MEROLOGY FOR OCEAN SALINIY AND ACIDIY WP: Extenson of measurement range for thermohyscal arameters (INRM, PB) ISIUO MEROLOGICA Smona

More information

Resource Allocation and Decision Analysis (ECON 8010) Spring 2014 Foundations of Regression Analysis

Resource Allocation and Decision Analysis (ECON 8010) Spring 2014 Foundations of Regression Analysis Resource Allocaton and Decson Analss (ECON 800) Sprng 04 Foundatons of Regresson Analss Readng: Regresson Analss (ECON 800 Coursepak, Page 3) Defntons and Concepts: Regresson Analss statstcal technques

More information

Lecture 14: Forces and Stresses

Lecture 14: Forces and Stresses The Nuts and Bolts of Frst-Prncples Smulaton Lecture 14: Forces and Stresses Durham, 6th-13th December 2001 CASTEP Developers Group wth support from the ESF ψ k Network Overvew of Lecture Why bother? Theoretcal

More information

4DVAR, according to the name, is a four-dimensional variational method.

4DVAR, according to the name, is a four-dimensional variational method. 4D-Varatonal Data Assmlaton (4D-Var) 4DVAR, accordng to the name, s a four-dmensonal varatonal method. 4D-Var s actually a drect generalzaton of 3D-Var to handle observatons that are dstrbuted n tme. The

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

The First Example of Commensurate Adsorption of Atomic Gas in a MOF and Effective Separation of Xenon from Other Noble Gases

The First Example of Commensurate Adsorption of Atomic Gas in a MOF and Effective Separation of Xenon from Other Noble Gases The Frst Example of Commensurate Adsorpton of Atomc Gas n a MOF and Effectve Separaton of Xenon from Other Noble Gases Hao Wang, a Ke Xn Yao, b Zhjuan Zhang, c Jacek Jagello, d Qhan Gong, a Yu Han b and

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