MODELING AND SIMULATION OF AMMONIA SYNTHESIS REACTOR
|
|
|
- Antony Briggs
- 9 years ago
- Views:
Transcription
1 Peet trool lleeuum & Cool ll IISSN Avlle onlne t Petroleum & Col 48 (), 15-, 006 MODELING AND SIMULATION OF AMMONIA SYNTHESIS REACTOR Al Dsht, Kyvn Khorsnd 1, Mehd Ahmd Mrvst, Mdjd Kkvnd Reserch Insttute of Petroleum Industry (RIPI), Pzhouheshgh Blvd., Khrd, Qom Rod, Tehrn, Irn. 1 corresondng uthor, [email protected] Receved My 1, 006; cceted June 4, 006 Astrct In ths er n ndustrl mmon synthess rector hs een modeled. The rector under study s of horzontl tye. Ths rector whch s under the lcense of Kellogg Comny s equed wth three xl flow ctlyst eds nd n nternl het exchnger n ccomny wth coolng flow. The cheved modelng s one dmensonl nd non-homogenous. Consderng the sever effect of nternl het exchnger on rector oerton, t hs een smulted y clculton of flm het trnsfer coeffcents n ts tue nd shell nd then, tkng nto ccount the shell therml resstnce nd foulng coeffcent, otnng the overll het trnsfer coeffcent. So n the develoed softwre, the het trnsfer coeffcent s frst clculted usng the condtons of the nut flow to the exchnger nd then the nut flows to the frst nd second eds re clculted. The dfferentl equtons hve een solved usng Rung Kutt 4 method nd the results hve een comred wth the vlle ndustrl dt. Fnlly the clty of the develoed softwre for ndustrl lcton hs een nvestgted y chngng the rector oerton condtons nd studyng ther effects on rector outut. Key words: mmon, rector, modelng, smulton 1. Introducton Ammon Synthess s very mortnt rocess n chemcl comlexes. Ammon s the ntl chemcl mterl for vrety of ndustres. It s used n roducton of chemcl fertlzers, exlosve mterls, olymers, cds nd even coolers. Smulton cn ly n mortnt role to gve n nsght of the ndustrl unts nd hence smulton of Ammon unt s very mortnt to hel us nvestgte the dfferent oerton modes of ths unt nd otmze tht. Ammon synthess loo s the most mortnt rt of ths unt whch etter understndng of ts ottleneck cn led us to mke the oerton yeld hgher thn efore.. Ammon Synthess Loo In mmon roducton unt, the synthess loo s locted fter the syngs roducton nd urfcton unts. Ammon synthess rocess tkes lce n hgh ressure nd hence hgh ower mult cycle comressors re used to suly the requred ressure. The Kellogg synthess rector ncororted n ths loo s of horzontl tye wth three eds. To control the temerture etween frst nd second eds, n nternl het exchnger hs een used n whch the nut feed to the frst ed nd the outut gs from the sme ed hve therml exchnge. In ddton to the mentoned het exchnger, the quench gs flow s lso used for control of temerture. The nut feed to the rector, s frst dvded nto two rts, efore entrnce. One rt s consdered s feed nd the other rt s quench gs. The feed, fter enterng the rector, sses through the emty sces of the eds s well s the rector wlls nd gets slghtly heted. When rechng to the end of the rector, t sses through the shell of the nternl het exchnger nd ts temerture reches 400 ºC. Tues of the het exchnger contn the outut gs from the frst ed. Quench gs s used to control the nlet temerture of the frst ed. The requred temerture for nlet of the frst ed s 71 ºC. Outut gs,
2 Al Dsht et l./petroleum & Col 48() 15- (006) 16 fter wrmng u, s then entered to frst ctlytc ed. Fgure 1 dects the schemtc dgrm of Kellogg horzontl rector. Fg.1 Ammon Synthess Rector - Kellogg method [1] When the gs sses the frst ed nd the recton s tken lce, ts temerture ncreses nd reches 496 ºC. It then enters the tues of the het exchnger to cool down. Gs s then entered from to of the second ed. Temerture rses gn s the recton tkes lce n the second ed. No secfc oerton s crred out etween eds two nd three. In fct these two eds ct s sngle ed whose length s twce the length of ech ed. The ctlyst of ths rector s mgnetc ferro oxde.. Mthemtcl Model By modelng of the synthess rector, temerture, concentrtons nd ressure rofles re otned. Of course testng of the model sed on the ove rmeters s cheved t the end of ech ed s ndustrl dt re not usully vlle long the length of the ed. The followng ssumtons hve een mde for ths modelng: 1. One-dmensonl Crtesn coordnte hs een consdered long wth the ulk flow.. Penetrton of mss nd het s gnored, s the flud velocty s very hgh n ndustrl scle.. Densty s constnt 4. Concentrton nd temerture on ctlyst surfce nd ulk of gs re equl. 5. The effects of enetrton resstnce n ctlyst, temerture grdent nd ctlyst nsde concentrton hve een ncororted n the equtons y coeffcent. Mterl lnce (Molr) [,] Consderng n element wth heght of Δ x nd cross secton re equl to tht of the ed we ll hve: uca x uca x + Δ x Accumulton = Consumton Producton + Outut Inut There shll e no ccumulton s the system hs een consdered to e n stedy stte. ( r ) 0 uca uca 1 x + AΔx η = x+ Δx NH Dvdng oth sdes of the equton y AΔx nd Δx 0, we ll hve:
3 Al Dsht et l./petroleum & Col 48() 15- (006) 17 ( r ) 0 dc u + NH η = d x Ths equton cn e re-wrtten s elow sed on the Ntrogen Converson Percentge shown y Z: dz dx ηrnh = FN A n whch the term F N A s the ntl molr flow of N. Recton Rte [,4,5,6,7,8] To clculte the rte of recton, modfed Temkn equton offered y Dyson & Smon n 1968 hs een used [4] α 1 α H NH R = NH k K N 4 NH H n whch α : Constnt whch tkes vlue from 0.5 to 0.75 n lterture [8]. k : Rte constnt for reverse recton n: N + H NH K : equlrum constnt : Actvty Actvton cn e wrtten n terms of ctvton coeffcent s elow: f = 5 f 0 f : Reference fugcty. If the reference fugcty s consdered to e 1 tm, then: f = = f = y φ P 6 1 In ths equton φ s the fugcty coeffcent nd P s the totl ressure. Below equtons re the exermentl ones for fugcty coeffcent of hydrogen, ntrogen nd mmon [4]. H ( ) ( ) ( ).840T T T = ex e P e P + 00[ e ] e P 00 φ 7 φ N = T P φ = T NH T T P P P 8 9
4 Al Dsht et l./petroleum & Col 48() 15- (006) 18 In ove equtons T s n terms of Kelvn nd P n terms of tmoshere. The equton of reverse mmon synthess recton hs een consdered n se of Arrhenus formt. E k = k ex RT k : Arrhenus coeffcent equl to E : Actvton energy, whch vres wth temerture. Its men vlue s R : Gs constnt 14 kcl kmol In 190, Gllese nd Bette hve develoed the followng equton to clculte the equlrum constnt [9]. 5 7 log K =.6911 logt T T T η Effect Fctor [,4,] To nvestgte the effects of temerture nd densty of the ctlyst nteror nd the dfference etween these rmeters wth those of the ctlyst surfce, n effect fctor clled η hs een defned. The generl form of the equton defnng ths effect fctor hs een gven elow []. η + T = 1 Z T 4Z 5T 6Z The ove equton s n terms of T nd converson ercentge. The coeffcents of ths equton for three dfferent ressures hve een dected n tle [4]. Pressure (r) Tle. Coeffcents of the correcton fctor olynoml n terms of ressure e e e e e e Energy lnce Energy lnce s nvestgted on the sme element on whch mss lnce hs een consdered. Accumulton = Consumed Energy Produced Energy + Outut Energy Inut Energy In stedy stte, the ccumulton s zero. { ρuc T ρuc T } + AΔx( ΔH ) R 0 A 1 x Dvdng the ove equton y x+ Δx r NH η AΔ x nd = Δx 0, we ll hve: dt ρuc + ( ΔH r ) RNH η = 0 14 dx Het Cctnce The followng equton s used to determne the Het cctnce:
5 Al Dsht et l./petroleum & Col 48() 15- (006) 19 C ( = T + c T d ) kj = T kmol + 15 Tle 4. Coeffcents of C olynoml for some comonent. Comonent H N CH4 Argon c d In 1967, Shh hs develoed n equton for determnton of mmon het ccty whch hs een used n our modelng [11,1] T T T P + kj C PNH = kmol. k 4 ( ) ( ) P T P T 16 Recton Het Elnshe hs develoed relton n 1981 for clculton of recton het whch hs een used n our modelng [1] P T kj ΔH r = T T 6 kmol 0.55 T T Pressure Dro [14,15,16] To clculte the ressure dro nsde eds, Ergun equton hs een led. Ths relton for onedmensonl flow s s elow [15,16]. ( 1 ε ) z 150 μu 1 ε ρu Δ P = μ u = ε d ε d As most of the ndustrl dt long the eds re not vlle, the model s tested sed on the ove vlues t the end of ech ed. Alyng mss, energy nd momentum lnce on n element, derves the mthemtcl model. Consderng ll the onts nd dscussons rsed n the revous sectons, the elow set of three dfferentl equtons re derved. dz ηrnh = dx FN A dt ρuc + ( ΔH r ) rnh η = 0 dx z dp 150( 1 ε ) μu = μ u = 1.75 dx ε d 1 ε ρu ε d 19
6 Al Dsht et l./petroleum & Col 48() 15- (006) 0 The 4 th order Runge Kutt roch s used to solve the ove set of equtons. As ths set of equtons s stff, ressure dro equton s frst tken out of the set nd the new set wth two equtons s solved usng Runge Kutt numercl method. At ech stge of the numercl soluton, ressure dro s clculted y mens of the temerture nd concentrton derved from tht stge nd n ths cse the three rmeters.e. temerture, ressure nd converson rte re determned. 4. Modelng Results Results tken from smulton re comred wth ndustrl dt. Inut condtons re s elow [17] : Rector nut temerture: 66 C Rector nut ressure: 16.5 r Desred temerture for nut gs flow to the frst ed: 71 C Inut flow rte to rector: kg hr Inut comoston: y 0, N = y 0, H = y 0, NH = y 0, CH = y 0,Ar = The ove hs een clculted fter mxng wth quench flow nd the totl flow of the rector s kg derved s 000. hr Fg. Chnges of N converson rte long the eds Fg llustrtes the chnges of N converson rte long the three eds. It s oserved tht chnges long the frst ed re more sever thn those of the second nd thrd ones ecuse of the lower recton roduct ( N ) content n feed of ths ed. The deflecton n the curve etween frst nd second ed s ecuse of chnge n the recton seed, whch s n turn resulted from gs coolng. As no secfc oerton s crred out etween second nd thrd eds, the curve remns unform long them.
7 Al Dsht et l./petroleum & Col 48() 15- (006) 1 Fg. Molr frcton of the comonents long the eds Molr frcton of the comonents long the ed cn e deducted from the converson rte nd ntl mole frcton vlues. Fg dects the molr frcton of the three mn comonents of the recton. Fg 4. Pressure Chnges long the eds Fg 4 llustrtes ressure rofle long the eds. In rctce, ressure dro s more thn tht shown y modelng s n the relted smulton the ctlyst rtcles re ssumed to e shercl. Ferrte ctlyst doesn t hve regulr she whch ncreses the ressure dro. The deflecton n the curve etween frst nd second ed s resulted from the nternl het exchnger ressure dro.
8 Al Dsht et l./petroleum & Col 48() 15- (006) Fg 5. Temerture Chnges long the eds Fg 5 llustrtes the temerture chnges long the eds. In frst ed, s the mmon concentrton s low, the recton rte s very hgh nd the temerture ncreses long the ed whle rochng equlrum t ts end (the sloe of the curve s reduced long the ed). After frst ed, gs s cooled down n nternl het exchnger cusng tht to get fr from equlrum. As t s oserved n the fgure, the gs roches equlrum t the end of thrd ed nd the temerture chnge s low. As revously mentoned, one of the cltes of the develoed softwre s nvestgton of chnges n the unt oututs. Anlyss of these results, cn led us to fnd ottlenecks nd hgh roducton wys, etc. Fg. 6 nd 7 llustrte some of the results. Fg 6. Effect of chnges n flow rte on dfferent rmeters
9 Al Dsht et l./petroleum & Col 48() 15- (006) 5. References Fg 7. Effect of chnges n nut NH concentrton on dfferent rmeters [1] R.W. Mssen, C.A. Mms, B.A. Svlle, Introducton to Chemcl Recton Engneerng & Knetcs, Wley, [ J. Morud, The dynmcs of Chemcl Rectors Wht Het Integrton, Ph.D thess, [] S. S. Elnshe, M. E. Ashr And A. S. Al. Ud, Smulton nd Otmzton of n Industrl Ammon Rector, Ind. Eng, chem.. Res, Vol. 7,. 015, [4] D.C. Dyson nd J.M. Scon. A Knetc Exresson Wth Dffuson Correcton for Ammon Synthess on Industrl Ctlyst, Ind. Eng. Chem. Fundmentl, Vol. 7, No. 4,. 605, [5] P.P. Sngh nd N. Srf Smulton of Ammon Synthess Rector, Ind. Eng. Chem. Process Des. Dev, Vol. 18, No.,. 04, [6] P. Stoltze nd J. K. Norshov, An Inter erdton of the Hgh-ressure Knetcs of Ammon Synthess Bsed on Mcroscoc Model J. Ctl, Vol. 1,. 1, [7] L. D. Gnes, Otml Temertures for Ammon Synthess Converters, Ind. Eng. Chem, rocess Des. Dev, Vol. 16, No.,. 81, [8] A. Nelsen, An nvestgton on Promoted Iron Ctlysts for the Synthess of Ammon, rd Ed, Jul. Gjellerus, Coenhgen, 1968 [9] L. J. Gllese, J. A. Bette, Phys. Rev., Vol. 6,. 74, 190 [] L. D. Gnes, Ammon Synthess Loo Vrles Investgted By Stedy-Stte Smulton, Chem. Engng Sc, Vol. 4,. 7, [11] B. Elverse, S. Hwkns, W. Russey, G. Schulz, Ullmn's Encycloed of Industrl Chemstry, 5 th Ed, Vol. A, 199. [1] M. J. Shh, Control Smulton n Ammon Producton, Ind. Eng. Chem., Vol 59, No 1, 7, [1] A.T. Mhfouz, S.S. Elshshn, nd S.S.E.H. Elnshe, Stedy-Stte Modellng And Smulton of n Industrl Ammon Synthess Rector I. Rector Modelng, Modelng Smulton & control, B, ASME ress, Vol., No.,. 1, [14] S.S.E. H. Elnshe nd S.S. Elshshn, Modelng, Smulton, nd Otmzton of Industrl Fxed Bed Ctlytc Rectors, G&B Scence, 199. [15] S. Ergun, Flud Flow Through Pcked Columns, Chem. Engng. Prog., Vol 48, No,. 89, 195. [16] F. Zrd, D.Bonvn, Modellng, Smulton nd *Vldton for n Axl- Rdl Ammon Synthess, Chem. Engng Sc., Vol. 47, No. 9-11,. 5, 199. [17] Feslty Study on Technology Trnsfer nd Loclzton of Ammon Synthess Process n Irn, Project reort, Reserch Insttute of Petroleum Industres, 001.
Lesson 28 Psychrometric Processes
1 Lesson 28 Psychrometrc Processes Verson 1 ME, IIT Khrgpur 1 2 The specfc objectves of ths lecture re to: 1. Introducton to psychrometrc processes nd ther representton (Secton 28.1) 2. Importnt psychrometrc
Newton-Raphson Method of Solving a Nonlinear Equation Autar Kaw
Newton-Rphson Method o Solvng Nonlner Equton Autr Kw Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson
c b 5.00 10 5 N/m 2 (0.120 m 3 0.200 m 3 ), = 4.00 10 4 J. W total = W a b + W b c 2.00
Chter 19, exmle rolems: (19.06) A gs undergoes two roesses. First: onstnt volume @ 0.200 m 3, isohori. Pressure inreses from 2.00 10 5 P to 5.00 10 5 P. Seond: Constnt ressure @ 5.00 10 5 P, isori. olume
2 DIODE CLIPPING and CLAMPING CIRCUITS
2 DIODE CLIPPING nd CLAMPING CIRCUITS 2.1 Ojectives Understnding the operting principle of diode clipping circuit Understnding the operting principle of clmping circuit Understnding the wveform chnge of
Resistive Network Analysis. The Node Voltage Method - 1
esste Network Anlyss he nlyss of n electrcl network conssts of determnng ech of the unknown rnch currents nd node oltges. A numer of methods for network nlyss he een deeloped, sed on Ohm s Lw nd Krchoff
** Dpt. Chemical Engineering, Kasetsart University, Bangkok 10900, Thailand
Modelling nd Simultion of hemicl Processes in Multi Pulse TP Experiment P. Phnwdee* S.O. Shekhtmn +. Jrungmnorom** J.T. Gleves ++ * Dpt. hemicl Engineering, Ksetsrt University, Bngkok 10900, Thilnd + Dpt.hemicl
Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )
Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +
Appendix D: Completing the Square and the Quadratic Formula. In Appendix A, two special cases of expanding brackets were considered:
Appendi D: Completing the Squre nd the Qudrtic Formul Fctoring qudrtic epressions such s: + 6 + 8 ws one of the topics introduced in Appendi C. Fctoring qudrtic epressions is useful skill tht cn help you
Reasoning to Solve Equations and Inequalities
Lesson4 Resoning to Solve Equtions nd Inequlities In erlier work in this unit, you modeled situtions with severl vriles nd equtions. For exmple, suppose you were given usiness plns for concert showing
EQUATIONS OF LINES AND PLANES
EQUATIONS OF LINES AND PLANES MATH 195, SECTION 59 (VIPUL NAIK) Corresponding mteril in the ook: Section 12.5. Wht students should definitely get: Prmetric eqution of line given in point-direction nd twopoint
Answer, Key Homework 10 David McIntyre 1
Answer, Key Homework 10 Dvid McIntyre 1 This print-out should hve 22 questions, check tht it is complete. Multiple-choice questions my continue on the next column or pge: find ll choices efore mking your
Bayesian Updating with Continuous Priors Class 13, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom
Byesin Updting with Continuous Priors Clss 3, 8.05, Spring 04 Jeremy Orloff nd Jonthn Bloom Lerning Gols. Understnd prmeterized fmily of distriutions s representing continuous rnge of hypotheses for the
Experiment 6: Friction
Experiment 6: Friction In previous lbs we studied Newton s lws in n idel setting, tht is, one where friction nd ir resistnce were ignored. However, from our everydy experience with motion, we know tht
Labor Productivity and Comparative Advantage: The Ricardian Model of International Trade
Lbor Productivity nd omrtive Advntge: The Ricrdin Model of Interntionl Trde Model of trde with simle (unrelistic) ssumtions. Among them: erfect cometition; one reresenttive consumer; no trnsction costs,
Binary Representation of Numbers Autar Kaw
Binry Representtion of Numbers Autr Kw After reding this chpter, you should be ble to: 1. convert bse- rel number to its binry representtion,. convert binry number to n equivlent bse- number. In everydy
Optimal Pricing Scheme for Information Services
Optml rcng Scheme for Informton Servces Shn-y Wu Opertons nd Informton Mngement The Whrton School Unversty of ennsylvn E-ml: [email protected] e-yu (Shron) Chen Grdute School of Industrl Admnstrton
Lectures 8 and 9 1 Rectangular waveguides
1 Lectures 8 nd 9 1 Rectngulr wveguides y b x z Consider rectngulr wveguide with 0 < x b. There re two types of wves in hollow wveguide with only one conductor; Trnsverse electric wves
Vector Geometry for Computer Graphics
Vector Geometry for Computer Grphcs Bo Getz Jnury, 7 Contents Prt I: Bsc Defntons Coordnte Systems... Ponts nd Vectors Mtrces nd Determnnts.. 4 Prt II: Opertons Vector ddton nd sclr multplcton... 5 The
Incorporating Negative Values in AHP Using Rule- Based Scoring Methodology for Ranking of Sustainable Chemical Process Design Options
20 th Europen ymposum on Computer Aded Process Engneerng ECAPE20. Perucc nd G. Buzz Ferrrs (Edtors) 2010 Elsever B.V. All rghts reserved. Incorportng Negtve Vlues n AHP Usng Rule- Bsed corng Methodology
Or more simply put, when adding or subtracting quantities, their uncertainties add.
Propgtion of Uncertint through Mthemticl Opertions Since the untit of interest in n eperiment is rrel otined mesuring tht untit directl, we must understnd how error propgtes when mthemticl opertions re
NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582
NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 7. Root Dynamcs 7.2 Intro to Root Dynamcs We now look at the forces requred to cause moton of the root.e. dynamcs!!
Numerical Analysis of the Natural Gas Combustion Products
Energy and Power Engneerng, 2012, 4, 353-357 http://dxdoorg/104236/epe201245046 Publshed Onlne September 2012 (http://wwwscrporg/journal/epe) Numercal Analyss of the Natural Gas Combuston Products Fernando
1. In the Bohr model, compare the magnitudes of the electron s kinetic and potential energies in orbit. What does this imply?
Assignment 3: Bohr s model nd lser fundmentls 1. In the Bohr model, compre the mgnitudes of the electron s kinetic nd potentil energies in orit. Wht does this imply? When n electron moves in n orit, the
SPECIAL PRODUCTS AND FACTORIZATION
MODULE - Specil Products nd Fctoriztion 4 SPECIAL PRODUCTS AND FACTORIZATION In n erlier lesson you hve lernt multipliction of lgebric epressions, prticulrly polynomils. In the study of lgebr, we come
Irregular Repeat Accumulate Codes 1
Irregulr epet Accumulte Codes 1 Hu Jn, Amod Khndekr, nd obert McElece Deprtment of Electrcl Engneerng, Clforn Insttute of Technology Psden, CA 9115 USA E-ml: {hu, mod, rjm}@systems.cltech.edu Abstrct:
Unit 6: Exponents and Radicals
Eponents nd Rdicls -: The Rel Numer Sstem Unit : Eponents nd Rdicls Pure Mth 0 Notes Nturl Numers (N): - counting numers. {,,,,, } Whole Numers (W): - counting numers with 0. {0,,,,,, } Integers (I): -
The CAT model: Predicting air temperature in city streets on the basis of measured reference data
The CAT model: Predctng r temperture n cty streets on the bss of mesured reference dt Evytr Erell 1 nd Terry Wllmson 2 1 The J. Blusten Insttute For Desert Reserch, Ben-Guron Unversty of the Negev, Sde
Regular Sets and Expressions
Regulr Sets nd Expressions Finite utomt re importnt in science, mthemtics, nd engineering. Engineers like them ecuse they re super models for circuits (And, since the dvent of VLSI systems sometimes finite
, and the number of electrons is -19. e e 1.60 10 C. The negatively charged electrons move in the direction opposite to the conventional current flow.
Prolem 1. f current of 80.0 ma exists in metl wire, how mny electrons flow pst given cross section of the wire in 10.0 min? Sketch the directions of the current nd the electrons motion. Solution: The chrge
Graphs on Logarithmic and Semilogarithmic Paper
0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl
Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100
hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by
Three-Phase Induction Generator Feeding a Single-Phase Electrical Distribution System - Time Domain Mathematical Model
Three-Phse Induton Genertor Feedng Sngle-Phse Eletrl Dstruton System - Tme Domn Mthemtl Model R.G. de Mendonç, MS. CEFET- GO Jtí Deentrlzed Unty Eletrotehnl Coordnton Jtí GO Brzl 763 L. Mrtns Neto, Dr.
Shielding Equations and Buildup Factors Explained
Sheldng Equatons and uldup Factors Explaned Gamma Exposure Fluence Rate Equatons For an explanaton of the fluence rate equatons used n the unshelded and shelded calculatons, vst ths US Health Physcs Socety
Distributions. (corresponding to the cumulative distribution function for the discrete case).
Distributions Recll tht n integrble function f : R [,] such tht R f()d = is clled probbility density function (pdf). The distribution function for the pdf is given by F() = (corresponding to the cumultive
JCM_VN_AM003_ver01.0 Sectoral scope: 03
Sectoral scoe: 03 Jont Credtng Mechansm Aroved Methodology VN_AM003 Imrovng the energy effcency of commercal buldngs by utlzaton of hgh effcency equment A. Ttle of the methodology Imrovng the energy effcency
WHAT HAPPENS WHEN YOU MIX COMPLEX NUMBERS WITH PRIME NUMBERS?
WHAT HAPPES WHE YOU MIX COMPLEX UMBERS WITH PRIME UMBERS? There s n ol syng, you n t pples n ornges. Mthemtns hte n t; they love to throw pples n ornges nto foo proessor n see wht hppens. Sometmes they
Jet Engine. Figure 1 Jet engine
Jet Engne Prof. Dr. Mustafa Cavcar Anadolu Unversty, School of Cvl Avaton Esksehr, urkey GROSS HRUS INAKE MOMENUM DRAG NE HRUS Fgure 1 Jet engne he thrust for a turboet engne can be derved from Newton
Analysis and Modeling of Buck Converter in Discontinuous-Output-Inductor-Current Mode Operation *
Energy and Power Engneerng, 3, 5, 85-856 do:.436/ee.3.54b63 Publshed Onlne July 3 (htt://www.scr.org/journal/ee) Analyss and Modelng of Buck Converter n Dscontnuous-Outut-Inductor-Current Mode Oeraton
Gas Deliverability Model with Different Vertical Wells Properties
PROC. ITB En. Scence Vol. 35 B, No., 003, 5-38 5 Gas Delverablty Model wth Dfferent Vertcal Wells Proertes L. Mucharam, P. Sukarno, S. Srear,3, Z. Syhab, E. Soewono,3, M. Ar 3 & F. Iral 3 Deartment of
Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions.
Lerning Objectives Loci nd Conics Lesson 3: The Ellipse Level: Preclculus Time required: 120 minutes In this lesson, students will generlize their knowledge of the circle to the ellipse. The prmetric nd
Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding
1 Exmple A rectngulr box without lid is to be mde from squre crdbord of sides 18 cm by cutting equl squres from ech corner nd then folding up the sides. 1 Exmple A rectngulr box without lid is to be mde
Physics 43 Homework Set 9 Chapter 40 Key
Physics 43 Homework Set 9 Chpter 4 Key. The wve function for n electron tht is confined to x nm is. Find the normliztion constnt. b. Wht is the probbility of finding the electron in. nm-wide region t x
WiMAX DBA Algorithm Using a 2-Tier Max-Min Fair Sharing Policy
WMAX DBA Algorthm Usng 2-Ter Mx-Mn Fr Shrng Polcy Pe-Chen Tseng 1, J-Yn Ts 2, nd Wen-Shyng Hwng 2,* 1 Deprtment of Informton Engneerng nd Informtcs, Tzu Ch College of Technology, Hulen, Twn [email protected]
Homework 3 Solutions
CS 341: Foundtions of Computer Science II Prof. Mrvin Nkym Homework 3 Solutions 1. Give NFAs with the specified numer of sttes recognizing ech of the following lnguges. In ll cses, the lphet is Σ = {,1}.
Simple Interest Loans (Section 5.1) :
Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part
Rotating DC Motors Part II
Rotting Motors rt II II.1 Motor Equivlent Circuit The next step in our consiertion of motors is to evelop n equivlent circuit which cn be use to better unerstn motor opertion. The rmtures in rel motors
One Minute To Learn Programming: Finite Automata
Gret Theoreticl Ides In Computer Science Steven Rudich CS 15-251 Spring 2005 Lecture 9 Fe 8 2005 Crnegie Mellon University One Minute To Lern Progrmming: Finite Automt Let me tech you progrmming lnguge
A Prediction System Based on Fuzzy Logic
Proceedngs of the World Congress on Engneerng and Comuter Scence 2008 WCECS 2008, October 22-24, 2008, San Francsco, USA A Predcton System Based on Fuzzy Logc Vadeh.V,Monca.S, Mohamed Shek Safeer.S, Deeka.M
FAULT TREES AND RELIABILITY BLOCK DIAGRAMS. Harry G. Kwatny. Department of Mechanical Engineering & Mechanics Drexel University
SYSTEM FAULT AND Hrry G. Kwtny Deprtment of Mechnicl Engineering & Mechnics Drexel University OUTLINE SYSTEM RBD Definition RBDs nd Fult Trees System Structure Structure Functions Pths nd Cutsets Reliility
The Velocity Factor of an Insulated Two-Wire Transmission Line
The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the
. At first sight a! b seems an unwieldy formula but use of the following mnemonic will possibly help. a 1 a 2 a 3 a 1 a 2
7 CHAPTER THREE. Cross Product Given two vectors = (,, nd = (,, in R, the cross product of nd written! is defined to e: " = (!,!,! Note! clled cross is VECTOR (unlike which is sclr. Exmple (,, " (4,5,6
Factoring Polynomials
Fctoring Polynomils Some definitions (not necessrily ll for secondry school mthemtics): A polynomil is the sum of one or more terms, in which ech term consists of product of constnt nd one or more vribles
Operations with Polynomials
38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: Write polynomils in stndrd form nd identify the leding coefficients nd degrees of polynomils Add nd subtrct polynomils Multiply
Quick Reference Guide: One-time Account Update
Quick Reference Guide: One-time Account Updte How to complete The Quick Reference Guide shows wht existing SingPss users need to do when logging in to the enhnced SingPss service for the first time. 1)
A Hadoop Job Scheduling Model Based on Uncategorized Slot
Journl of Communctons Vol. 10, No. 10, October 2015 A Hdoop Job Schedulng Model Bsed on Unctegored Slot To Xue nd Tng-tng L Deprtment of Computer Scence, X n Polytechnc Unversty, X n 710048, Chn Eml: [email protected];
Version 001 Summer Review #03 tubman (IBII20142015) 1
Version 001 Summer Reiew #03 tubmn (IBII20142015) 1 This print-out should he 35 questions. Multiple-choice questions my continue on the next column or pge find ll choices before nswering. Concept 20 P03
CS99S Laboratory 2 Preparation Copyright W. J. Dally 2001 October 1, 2001
CS99S Lortory 2 Preprtion Copyright W. J. Dlly 2 Octoer, 2 Ojectives:. Understnd the principle of sttic CMOS gte circuits 2. Build simple logic gtes from MOS trnsistors 3. Evlute these gtes to oserve logic
Chapter. Contents: A Constructing decimal numbers
Chpter 9 Deimls Contents: A Construting deiml numers B Representing deiml numers C Deiml urreny D Using numer line E Ordering deimls F Rounding deiml numers G Converting deimls to frtions H Converting
Luby s Alg. for Maximal Independent Sets using Pairwise Independence
Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent
MA 15800 Lesson 16 Notes Summer 2016 Properties of Logarithms. Remember: A logarithm is an exponent! It behaves like an exponent!
MA 5800 Lesson 6 otes Summer 06 Rememer: A logrithm is n eponent! It ehves like n eponent! In the lst lesson, we discussed four properties of logrithms. ) log 0 ) log ) log log 4) This lesson covers more
Section 5.4 Annuities, Present Value, and Amortization
Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today
Faraday's Law of Induction
Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy
Math 314, Homework Assignment 1. 1. Prove that two nonvertical lines are perpendicular if and only if the product of their slopes is 1.
Mth 4, Homework Assignment. Prove tht two nonverticl lines re perpendiculr if nd only if the product of their slopes is. Proof. Let l nd l e nonverticl lines in R of slopes m nd m, respectively. Suppose
Treatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3.
The nlysis of vrince (ANOVA) Although the t-test is one of the most commonly used sttisticl hypothesis tests, it hs limittions. The mjor limittion is tht the t-test cn be used to compre the mens of only
MATH 150 HOMEWORK 4 SOLUTIONS
MATH 150 HOMEWORK 4 SOLUTIONS Section 1.8 Show tht the product of two of the numbers 65 1000 8 2001 + 3 177, 79 1212 9 2399 + 2 2001, nd 24 4493 5 8192 + 7 1777 is nonnegtive. Is your proof constructive
Review guide for the final exam in Math 233
Review guide for the finl exm in Mth 33 1 Bsic mteril. This review includes the reminder of the mteril for mth 33. The finl exm will be cumultive exm with mny of the problems coming from the mteril covered
Integration by Substitution
Integrtion by Substitution Dr. Philippe B. Lvl Kennesw Stte University August, 8 Abstrct This hndout contins mteril on very importnt integrtion method clled integrtion by substitution. Substitution is
ACUSCOMP and ACUSYS A powerful hybrid linear/non linear simulation suite to analyse pressure pulsations in piping
ACUSCOMP n ACUSYS A owerful hybr lner/non lner multon ute to nlye reure ulton n ng Ing Attlo Brghent, Ing Anre Pvn, SATE Sytem n Avnce Technology Engneerng, Snt Croce 664/A, 335 Venez, Itly e-ml: ttlobrghent@te-tlycom
Pure C4. Revision Notes
Pure C4 Revision Notes Mrch 0 Contents Core 4 Alger Prtil frctions Coordinte Geometry 5 Prmetric equtions 5 Conversion from prmetric to Crtesin form 6 Are under curve given prmetriclly 7 Sequences nd
8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by
6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng
Mean Molecular Weight
Mean Molecular Weght The thermodynamc relatons between P, ρ, and T, as well as the calculaton of stellar opacty requres knowledge of the system s mean molecular weght defned as the mass per unt mole of
Section 5-4 Trigonometric Functions
5- Trigonometric Functions Section 5- Trigonometric Functions Definition of the Trigonometric Functions Clcultor Evlution of Trigonometric Functions Definition of the Trigonometric Functions Alternte Form
Lecture 3 Gaussian Probability Distribution
Lecture 3 Gussin Probbility Distribution Introduction l Gussin probbility distribution is perhps the most used distribution in ll of science. u lso clled bell shped curve or norml distribution l Unlike
Cypress Creek High School IB Physics SL/AP Physics B 2012 2013 MP2 Test 1 Newton s Laws. Name: SOLUTIONS Date: Period:
Nme: SOLUTIONS Dte: Period: Directions: Solve ny 5 problems. You my ttempt dditionl problems for extr credit. 1. Two blocks re sliding to the right cross horizontl surfce, s the drwing shows. In Cse A
1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator
AP Clculus Finl Review Sheet When you see the words. This is wht you think of doing. Find the zeros Find roots. Set function =, fctor or use qudrtic eqution if qudrtic, grph to find zeros on clcultor.
PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12
14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed
Applied Research Laboratory. Decision Theory and Receiver Design
Decson Theor and Recever Desgn Sgnal Detecton and Performance Estmaton Sgnal Processor Decde Sgnal s resent or Sgnal s not resent Nose Nose Sgnal? Problem: How should receved sgnals be rocessed n order
PSYCHROMETRICS: HEATING & HUMIDIFYING or COOLING & DEHUMIDIFYING
PSYCHROMETRICS: HEATING & HUMIDIYING or COOLING & DEHUMIDIYING I) Objective The objective of this experiment is to exmine the stte of moist ir s it enters nd psses through the ir hndling unit. When ether
Finite Math Chapter 10: Study Guide and Solution to Problems
Fnte Math Chapter 10: Study Gude and Soluton to Problems Basc Formulas and Concepts 10.1 Interest Basc Concepts Interest A fee a bank pays you for money you depost nto a savngs account. Prncpal P The amount
PROBLEMS 13 - APPLICATIONS OF DERIVATIVES Page 1
PROBLEMS - APPLICATIONS OF DERIVATIVES Pge ( ) Wter seeps out of conicl filter t the constnt rte of 5 cc / sec. When the height of wter level in the cone is 5 cm, find the rte t which the height decreses.
1 Example 1: Axis-aligned rectangles
COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton
Chapter 6 Best Linear Unbiased Estimate (BLUE)
hpter 6 Bet Lner Unbed Etmte BLUE Motvton for BLUE Except for Lner Model ce, the optml MVU etmtor mght:. not even ext. be dffcult or mpoble to fnd Reort to ub-optml etmte BLUE one uch ub-optml etmte Ide
Example 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers.
2 Rtionl Numbers Integers such s 5 were importnt when solving the eqution x+5 = 0. In similr wy, frctions re importnt for solving equtions like 2x = 1. Wht bout equtions like 2x + 1 = 0? Equtions of this
Two hours UNIVERSITY OF MANCHESTER SCHOOL OF COMPUTER SCIENCE. Date: Friday 16 th May 2008. Time: 14:00 16:00
COMP20212 Two hours UNIVERSITY OF MANCHESTER SCHOOL OF COMPUTER SCIENCE Digitl Design Techniques Dte: Fridy 16 th My 2008 Time: 14:00 16:00 Plese nswer ny THREE Questions from the FOUR questions provided
substances (among other variables as well). ( ) Thus the change in volume of a mixture can be written as
Mxtures and Solutons Partal Molar Quanttes Partal molar volume he total volume of a mxture of substances s a functon of the amounts of both V V n,n substances (among other varables as well). hus the change
Orbits and Kepler s Laws
Obits nd Keple s Lws This web pge intoduces some of the bsic ides of obitl dynmics. It stts by descibing the bsic foce due to gvity, then consides the ntue nd shpe of obits. The next section consides how
Vectors 2. 1. Recap of vectors
Vectors 2. Recp of vectors Vectors re directed line segments - they cn be represented in component form or by direction nd mgnitude. We cn use trigonometry nd Pythgors theorem to switch between the forms
Question 2: What is the variance and standard deviation of a dataset?
Queston 2: What s the varance and standard devaton of a dataset? The varance of the data uses all of the data to compute a measure of the spread n the data. The varance may be computed for a sample of
EN3: Introduction to Engineering. Teach Yourself Vectors. 1. Definition. Problems
EN3: Introducton to Engneerng Tech Yourself Vectors Dvson of Engneerng Brown Unversty. Defnton vector s mthemtcl obect tht hs mgntude nd drecton, nd stsfes the lws of vector ddton. Vectors re used to represent
www.mathsbox.org.uk e.g. f(x) = x domain x 0 (cannot find the square root of negative values)
www.mthsbo.org.uk CORE SUMMARY NOTES Functions A function is rule which genertes ectl ONE OUTPUT for EVERY INPUT. To be defined full the function hs RULE tells ou how to clculte the output from the input
A.7.1 Trigonometric interpretation of dot product... 324. A.7.2 Geometric interpretation of dot product... 324
A P P E N D I X A Vectors CONTENTS A.1 Scling vector................................................ 321 A.2 Unit or Direction vectors...................................... 321 A.3 Vector ddition.................................................
A Study on Secure Data Storage Strategy in Cloud Computing
Journal of Convergence Informaton Technology Volume 5, Number 7, Setember 00 A Study on Secure Data Storage Strategy n Cloud Comutng Danwe Chen, Yanjun He, Frst Author College of Comuter Technology, Nanjng
DlNBVRGH + Sickness Absence Monitoring Report. Executive of the Council. Purpose of report
DlNBVRGH + + THE CITY OF EDINBURGH COUNCIL Sickness Absence Monitoring Report Executive of the Council 8fh My 4 I.I...3 Purpose of report This report quntifies the mount of working time lost s result of
Exponential and Logarithmic Functions
Nme Chpter Eponentil nd Logrithmic Functions Section. Eponentil Functions nd Their Grphs Objective: In this lesson ou lerned how to recognize, evlute, nd grph eponentil functions. Importnt Vocbulr Define
Vectors. The magnitude of a vector is its length, which can be determined by Pythagoras Theorem. The magnitude of a is written as a.
Vectors mesurement which onl descries the mgnitude (i.e. size) of the oject is clled sclr quntit, e.g. Glsgow is 11 miles from irdrie. vector is quntit with mgnitude nd direction, e.g. Glsgow is 11 miles
Section 7-4 Translation of Axes
62 7 ADDITIONAL TOPICS IN ANALYTIC GEOMETRY Section 7-4 Trnsltion of Aes Trnsltion of Aes Stndrd Equtions of Trnslted Conics Grphing Equtions of the Form A 2 C 2 D E F 0 Finding Equtions of Conics In the
SIMULATION OF THERMAL AND CHEMICAL RELAXATION IN A POST-DISCHARGE AIR CORONA REACTOR
XVIII Internatonal Conference on Gas Dscharges and Ther Applcatons (GD 2010) Grefswald - Germany SIMULATION OF THERMAL AND CHEMICAL RELAXATION IN A POST-DISCHARGE AIR CORONA REACTOR M. Mezane, J.P. Sarrette,
