Superstructure-based Optimization for Design of Optimal PSA Cycles for CO 2 Capture

Size: px
Start display at page:

Download "Superstructure-based Optimization for Design of Optimal PSA Cycles for CO 2 Capture"

Transcription

1 Supersruure-asedOpmaonforDesgnof OpmalPSACylesforCO 2 Capure R. S. Kamah I. E. Grossmann L.. Begler Deparmen of Chemal Engneerng Carnege Mellon Unversy Psurgh PA 523 Marh 2

2 PSA n Nex Generaon Power Plans Need for hgh pury H 2 - Possle ehnology o apure CO2 Model Componens Sold-gas eulrum (nonlnear soherm Mass momenum (pressure and energy euaons Cyl Seady Sae Condons CO 2 Reovery and Energy Opmaon Soren properes Connevy and seps Geomery Operang ondons

3 Pressure Swng Adsorpon Skarsrom Cyle Separaon of rae omponens and also ulk gases Leverage sold-gas eulrum wh sorens (Z3X Z5A AC Perod proesses Amen ondons no solvens Energy s key operang os Wha are ssues for CO 2 separaon?

4 Pressure Swng Adsorpon Separaon of rae omponens and also ulk gases Lgh produ pressuraon Lgh Reflux Leverage sold-gas eulrum wh spealed sorens Perod proesses Amen ondons no solvens Energy s key operang os Heavy produ pressuraon Heavy reflux Wha are ssues for CO 2 separaon? Sysema way o desgn PSA yles?

5 Opme Connevy and Operang Condons N2/CO2 PSA (Reynolds Ener Rer 26 Exhausveevaluaonofylesandoperangpons smplfededmodels

6 PSA Cyle Developmen for CO 2 Capure Goals: HghCO2Pury(>95% HghCO2Reovery(>9% Lowspefpower CO2appearsasheheavyprodu Whhsepsareneededforyle developmen Ishereasysemaopmaon-ased wayodohs? Herarhyofseps-ZhangandWeley (27

7 PSA Supersruure Opmally synhese an approprae PSA yle for CO 2 apure Dfferen seps of he yle are realed hrough an opmal onrol formulaon Opmal yle oaned y maxmng CO 2 reovery feed hroughpu or power effeny Lgh Produ P ads Adsorng ed β( Expander Desorng ed - P ads and P des are he pressures spefed for oh he eds durng opmaon - Expander and ompressor aoun for pressure dfferene eween he eds and pressure hange along he yle Compressors α( P des Feed δ( Heavy Produ

8 PSA Supersruure Opons Opmally synhese an approprae PSA yle for CO 2 apure Dfferen seps of he yle are realed hrough an opmal onrol formulaon Opmal yle oaned y maxmng CO 2 reovery feed hroughpu or power effeny A Heavy Reflux A D D Cons. Pressure Heavy Reflux Feed A Co-urren Depressuraon A D Lgh Produ Purge D Heavy Produ Pressuraon Depressuraon - P ads and P des are he pressures spefed for oh he eds durng opmaon - Expander and ompressor aoun for pressure dfferene eween he eds and pressure hange along he yle Capures mulple seps and eds Compa esed o evaluae new sorens feed gases operang lms

9 PSA Model Euaons ( vc C s ( ρ ε ε ( * k 2 exp * m k k k k Py Py Py Py m m m m m s m n j j j s n j j j s ( ( v v C M d v d P w p p ε ε ε ε µ Componen mass alane LDF euaon Dual-se Langmur Isoherm Energy Balane Ergun euaon ( ( ( n pg pg w n s w pw w ps s n pg C C h d a C D h vh H D h C C R C C ρ ρ ρ ε Ideal gas C R P PSA Bed Model

10 ( ( ( (.. ( mn f δ β α δ β α φ g x f s How o handle PDEs Complee Dsreaon ( x f Complee Dsreaon ( ( ( ( (.. ( mn f δ β α δ β α φ g s Sandard NLP prolem Effen Large-sale NLP Solver x Dynam smulaon (a he opmum x x x d d f Apply Mehod of Lnes PSA Opmaon Sraegy

11 (85%/5% N 2 / CO 2 Mnme Power - Zeole 3X 85% Reovery 9% Pury CO 2

12 N 2 /CO 2 Opmaon Resuls Opmal sep mes Sep (and se Sep 2 (and se Sep 3 (and se Sep 4 (and se Opmal yle me 2 se Power onsumpon kwh/onne CO2 N2 pury 97.38% N2 reovery 98.33% CO2 pury 9% CO2 reovery 85% No. of varales 4632 No. of euaons 4622 CPU me mn. Pareo opmal urves rade-off Reovery wh Power onsumpon

13 (55%/45% H 2 /CO 2 Mnme Power 85% Reovery 85% Pury CO 2

14 Mnmum Power for Pre-Comuson Opmaon resuls No. of varales: 52 Degrees of freedom: 78 CPU me: 66.4 mn. Cyle me: se Feed flux: 96.6 kgmol/m 2 /hr Power: 46.8 kwh/onne CO 2 Full dsreaon MALAB Valdaon Sep y sep Full yle Fne volumes 4 H 2 pury 93.33% 94.4% 94.22% H 2 reovery 94.64% 93.2% 94.5% CO 2 pury 9% 9.59% 89.42% CO 2 reovery 92% 92.92% %

15 Conlusons PSAsupersruuredevelopedoevaluaePSAforCO 2 apure Opmesepseleonandoperaonsmulaneously OpmalonrolformulaonforomplexPSAyles OanhghreoveryandpuryforH 2 /CO 2 N 2 /CO 2 Applaons AssessfeaslyofPSAasapureehnology Dfferenapplaons(pre-/pos-omuson Proessesedoevaluaenewsorens Inegraonwhhyrdseparaons/proesses OngongWork Drelyomnemoredealedsmulaonwhnew NLPalgorhms(rSQPBOBYQA leadsoeermorerealsresuls Evaluaelargermul-omponenasesudes ValdaesupersruurewhshoruPSAmodels

Optimal Operation of the Cyclic Claus Process

Optimal Operation of the Cyclic Claus Process 17 h European Symposum on Compuer Aded Process Engneerng ESCAPE17 V. Plesu and P.S. Agach (Edors) 7 Elsever B.V. All rghs reserved. 1 Opmal Operaon of he Cyclc Claus Process Assanous Abufares a and Sebasan

More information

1 Model equations and parameters

1 Model equations and parameters Supporing Informaion: Pre-combusion capure by PSA: Comparison of laboraory PSA Experimens and Simulaions (Indusrial Engineering Chemisry Research) J. Schell, N. Casas, D. Marx and M. Mazzoi ETH Zurich,

More information

Problem Set 3 EC2450A. Fall ) Write the maximization problem of the individual under this tax system and derive the first-order conditions.

Problem Set 3 EC2450A. Fall ) Write the maximization problem of the individual under this tax system and derive the first-order conditions. Problem Se 3 EC450A Fall 06 Problem There are wo ypes of ndvduals, =, wh dfferen ables w. Le be ype s onsumpon, l be hs hours worked and nome y = w l. Uly s nreasng n onsumpon and dereasng n hours worked.

More information

Optimal Replenishment Policy for Hi-tech Industry with Component Cost and Selling Price Reduction

Optimal Replenishment Policy for Hi-tech Industry with Component Cost and Selling Price Reduction Opmal Replenshmen Poly for H-eh Indusry wh Componen Cos and Sellng Pre Reduon P.C. Yang 1, H.M. Wee, J.Y. Shau, and Y.F. seng 1 1 Indusral Engneerng & Managemen Deparmen, S. John s Unversy, amsu, ape 5135

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

Lecture Notes 4: Consumption 1

Lecture Notes 4: Consumption 1 Leure Noes 4: Consumpon Zhwe Xu (xuzhwe@sju.edu.n) hs noe dsusses households onsumpon hoe. In he nex leure, we wll dsuss rm s nvesmen deson. I s safe o say ha any propagaon mehansm of maroeonom model s

More information

ME 160 Introduction to Finite Element Method. Chapter 5 Finite Element Analysis in Heat Conduction Analysis of Solid Structures

ME 160 Introduction to Finite Element Method. Chapter 5 Finite Element Analysis in Heat Conduction Analysis of Solid Structures San Jose Sae Unvers Deparmen o Mehanal Engneerng ME 6 Inroduon o Fne Elemen Mehod Chaper 5 Fne Elemen Analss n Hea Conduon Analss o Sold Sruures Insruor a-ran Hsu Proessor Prnpal reerenes: ) he Fne Elemen

More information

ECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION

ECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION MACROECONOMIC THEORY T. J. KEHOE ECON 85 FALL 7 ANSWERS TO MIDTERM EXAMINATION. (a) Wh an Arrow-Debreu markes sruure fuures markes for goods are open n perod. Consumers rade fuures onras among hemselves.

More information

Comprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices

Comprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices Comprehense Inegraed Smulaon and Opmaon of LPP for EUV Lhograph Deces A. Hassanen V. Su V. Moroo T. Su B. Rce (Inel) Fourh Inernaonal EUVL Smposum San Dego CA Noember 7-9 2005 Argonne Naonal Laboraor Offce

More information

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1)

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1) Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law

More information

A First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18

A First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18 A Firs ourse on Kineics and Reacion Engineering lass 19 on Uni 18 Par I - hemical Reacions Par II - hemical Reacion Kineics Where We re Going Par III - hemical Reacion Engineering A. Ideal Reacors B. Perfecly

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

Block 5 Transport of solutes in rivers

Block 5 Transport of solutes in rivers Nmeral Hydrals Blok 5 Transpor of soles n rvers Marks Holzner Conens of he orse Blok 1 The eqaons Blok Compaon of pressre srges Blok 3 Open hannel flow flow n rvers Blok 4 Nmeral solon of open hannel flow

More information

EEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment

EEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment EEL 6266 Power Sysem Operaon and Conrol Chaper 5 Un Commmen Dynamc programmng chef advanage over enumeraon schemes s he reducon n he dmensonaly of he problem n a src prory order scheme, here are only N

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits. ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

Lecture 9: Dynamic Properties

Lecture 9: Dynamic Properties Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.

More information

ELEG 205 Fall Lecture #13. Mark Mirotznik, Ph.D. Professor The University of Delaware Tel: (302)

ELEG 205 Fall Lecture #13. Mark Mirotznik, Ph.D. Professor The University of Delaware Tel: (302) ELEG 205 Fall 2017 Leure #13 Mark Miroznik, Ph.D. Professor The Universiy of Delaware Tel: (302831-4221 Email: mirozni@ee.udel.edu Chaper 8: RL and RC Ciruis 1. Soure-free RL iruis (naural response 2.

More information

Real-Time Trajectory Generation and Tracking for Cooperative Control Systems

Real-Time Trajectory Generation and Tracking for Cooperative Control Systems Real-Tme Trajecor Generaon and Trackng for Cooperave Conrol Ssems Rchard Mrra Jason Hcke Calforna Inse of Technolog MURI Kckoff Meeng 14 Ma 2001 Olne I. Revew of prevos work n rajecor generaon and rackng

More information

Lecture 11 SVM cont

Lecture 11 SVM cont Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc

More information

WiH Wei He

WiH Wei He Sysem Idenfcaon of onlnear Sae-Space Space Baery odels WH We He wehe@calce.umd.edu Advsor: Dr. Chaochao Chen Deparmen of echancal Engneerng Unversy of aryland, College Par 1 Unversy of aryland Bacground

More information

On the Limita+ons of Breakthrough Curve Analysis in Fixed- Bed Adsorp+on

On the Limita+ons of Breakthrough Curve Analysis in Fixed- Bed Adsorp+on On the Limita+ons of Breakthrough Curve Analysis in Fixed- Bed Adsorp+on Jim Knox Knox, J. C.; Ebner, A. D.; LeVan, M. D.; Coker, R. F.; Ri:er, J. A., Limita

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

HIERARCHICAL DECISIONS FOR LINEAR/NON-LINEAR DISJUNCTIVE PROBLEMS

HIERARCHICAL DECISIONS FOR LINEAR/NON-LINEAR DISJUNCTIVE PROBLEMS 2 nd Mercosur Congress on Chemcal Engneerng 4 h Mercosur Congress on Process Sysems Engneerng HIERARCHICAL DECISIONS FOR LINEAR/NON-LINEAR DISJUNCTIVE PROLEMS Jorge M. Monagna and Aldo R. Vecche * INGAR

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2) Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum

More information

Transient Response in Electric Circuits

Transient Response in Electric Circuits Transen esponse n Elecrc rcus The elemen equaon for he branch of he fgure when he source s gven by a generc funcon of me, s v () r d r ds = r Mrs d d r (')d' () V The crcu s descrbed by he opology equaons

More information

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method 10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

Modern Time-Rate Relations

Modern Time-Rate Relations Modern Tme-Rae Relaons Slde 1 Orenaon Tme-Rae Relaons: New me-rae relaons whch ulze he followng componens: Hyperbolc and modfed-hyperbolc relaons, Power-law/sreched exponenal relaons, and Exponenal relaons

More information

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes Quanave Cenral Dogma I Reference hp//book.bonumbers.org Inaon ranscrpon RNA polymerase and ranscrpon Facor (F) s bnds o promoer regon of DNA ranscrpon Meenger RNA, mrna, s produced and ranspored o Rbosomes

More information

Journal of Chromatography A

Journal of Chromatography A Journal of Chromaography A, 1217 (2010) 5349 5357 Conens lss avalable a cencedrec Journal of Chromaography A journal homepage: www.elsever.com/locae/chroma Opmzaon of smulaed movng bed chromaography wh

More information

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng

More information

A Trust-region Algorithm for the Optimization of PSA Processes using Reduced-order Modeling

A Trust-region Algorithm for the Optimization of PSA Processes using Reduced-order Modeling A Trust-region Algorithm for the Optimization of PSA Processes using Reduced-order Modeling Anshul Agarwal Advisor: Lorenz T. Biegler CAPD Annual Review Meeting March 7, 2010 Pressure Swing Adsorption

More information

A Demand System for Input Factors when there are Technological Changes in Production

A Demand System for Input Factors when there are Technological Changes in Production A Demand Syem for Inpu Facor when here are Technologcal Change n Producon Movaon Due o (e.g.) echnologcal change here mgh no be a aonary relaonhp for he co hare of each npu facor. When emang demand yem

More information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-interval analysis of β decay. V. Horvat and J. C. Hardy Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae

More information

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,

More information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

More information

Math 2214 Solution Test 1B Fall 2017

Math 2214 Solution Test 1B Fall 2017 Mah 14 Soluion Tes 1B Fall 017 Problem 1: A ank has a capaci for 500 gallons and conains 0 gallons of waer wih lbs of sal iniiall. A soluion conaining of 8 lbsgal of sal is pumped ino he ank a 10 galsmin.

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

OPTIMIZATION OF A PRODUCTION LOT SIZING PROBLEM WITH QUANTITY DISCOUNT

OPTIMIZATION OF A PRODUCTION LOT SIZING PROBLEM WITH QUANTITY DISCOUNT NERNAONAL JOURNAL OF OPMZAON N CVL ENGNEERNG n. J. Opm. Cvl Eng., 26; 6(2:87-29 OPMZAON OF A PRODUCON LO SZNG PROBLEM WH QUANY DSCOUN S. hosrav and S.H. Mrmohammad *, Deparmen of ndusral and sysems Engneerng,

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

CHAPTER 2: Supervised Learning

CHAPTER 2: Supervised Learning HATER 2: Supervsed Learnng Learnng a lass from Eamples lass of a famly car redcon: Is car a famly car? Knowledge eracon: Wha do people epec from a famly car? Oupu: osve (+) and negave ( ) eamples Inpu

More information

Set point control in the state space setting

Set point control in the state space setting Downloaded from orb.du.dk on: Apr 28, 28 Se pon conrol n he sae space seng Poulsen, Nels Kjølsad Publcaon dae: 29 Documen Verson Publsher's PDF, also known as Verson of record Lnk back o DU Orb Caon (APA):

More information

Optimal Buyer-Seller Inventory Models in Supply Chain

Optimal Buyer-Seller Inventory Models in Supply Chain Inernaonal Conference on Educaon echnology and Informaon Sysem (ICEIS 03 Opmal Buyer-Seller Invenory Models n Supply Chan Gaobo L Shandong Women s Unversy, Jnan, 50300,Chna emal: lgaobo_979@63.com Keywords:

More information

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee A Paper presenaon on EXPERIMENTAL INVESTIGATION OF RAINFALL RUNOFF PROCESS by Ank Cakravar M.K.Jan Kapl Rola Deparmen of Hydrology, Indan Insue of Tecnology, Roorkee-247667 Inroducon Ranfall-runoff processes

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Nonequilibrium models for a multi component reactive distillation column

Nonequilibrium models for a multi component reactive distillation column onequlbrum models for a mul componen reacve dsllaon column D. ROUZIEAU, M. PREVOST, M. MEYER IP/E..S.I.G.C LGC Equpe Séparaon Gaz Lqude 8 Chemn de la Loge, 3078 Toulouse Cedex 4, France Absrac A nonequlbrum

More information

Gaining advantage from Complexity in Defence: a new DST research initiative

Gaining advantage from Complexity in Defence: a new DST research initiative UNCLASSIFIED Ganng advanage from Complexy n Defence: a new DST research nave Alexander Kallonas, Keeley Hoek [ANU], Mahew Zuparc Jon & Operaons Analyss Dvson 1 UNCLASSIFIED Oulne Complexy Good or ad for

More information

A New Generalized Gronwall-Bellman Type Inequality

A New Generalized Gronwall-Bellman Type Inequality 22 Inernaonal Conference on Image, Vson and Comung (ICIVC 22) IPCSIT vol. 5 (22) (22) IACSIT Press, Sngaore DOI:.7763/IPCSIT.22.V5.46 A New Generalzed Gronwall-Bellman Tye Ineualy Qnghua Feng School of

More information

EP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES

EP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES EP Queung heory and eleraffc sysems 3rd lecure Marov chans Brh-deah rocess - Posson rocess Vora Fodor KTH EES Oulne for oday Marov rocesses Connuous-me Marov-chans Grah and marx reresenaon Transen and

More information

Decentralised Sliding Mode Load Frequency Control for an Interconnected Power System with Uncertainties and Nonlinearities

Decentralised Sliding Mode Load Frequency Control for an Interconnected Power System with Uncertainties and Nonlinearities Inernaonal Research Journal of Engneerng and echnology IRJE e-iss: 2395-0056 Volume: 03 Issue: 12 Dec -2016 www.re.ne p-iss: 2395-0072 Decenralsed Sldng Mode Load Frequency Conrol for an Inerconneced Power

More information

Journal of Chemical and Pharmaceutical Research, 2014, 6(5): Research Article

Journal of Chemical and Pharmaceutical Research, 2014, 6(5): Research Article Avalable onlne.jopr.om Journal o Chemal Pharmaeual Researh, 014, 6(5:44-48 Researh Arle ISS : 0975-7384 CODE(USA : JCPRC5 Perormane evaluaon or engneerng proje managemen o parle sarm opmzaon based on leas

More information

Linear Quadratic Regulator (LQR) - State Feedback Design

Linear Quadratic Regulator (LQR) - State Feedback Design Linear Quadrai Regulaor (LQR) - Sae Feedbak Design A sysem is expressed in sae variable form as x = Ax + Bu n m wih x( ) R, u( ) R and he iniial ondiion x() = x A he sabilizaion problem using sae variable

More information

Numerical simulation of a solar chimney power plant in the southern region of Iran

Numerical simulation of a solar chimney power plant in the southern region of Iran Energy Equp. Sys./ Vol. 5/No.4/December 2017/ 431-437 Energy Equpmen and Sysems hp://energyequpsys.u.ac.r www.energyequpsys.com Numercal smulaon of a solar chmney power plan n he souhern regon of Iran

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

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy

More information

Observer Design for Nonlinear Systems using Linear Approximations

Observer Design for Nonlinear Systems using Linear Approximations Observer Desgn for Nonlnear Ssems sng Lnear Appromaons C. Navarro Hernandez, S.P. Banks and M. Aldeen Deparmen of Aomac Conrol and Ssems Engneerng, Unvers of Sheffeld, Mappn Sree, Sheffeld S 3JD. e-mal:

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

Fall 2010 Graduate Course on Dynamic Learning

Fall 2010 Graduate Course on Dynamic Learning Fall 200 Graduae Course on Dynamc Learnng Chaper 4: Parcle Flers Sepember 27, 200 Byoung-Tak Zhang School of Compuer Scence and Engneerng & Cognve Scence and Bran Scence Programs Seoul aonal Unversy hp://b.snu.ac.kr/~bzhang/

More information

Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems

Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems Genec Algorhm n Parameer Esmaon of Nonlnear Dynamc Sysems E. Paeraks manos@egnaa.ee.auh.gr V. Perds perds@vergna.eng.auh.gr Ah. ehagas kehagas@egnaa.ee.auh.gr hp://skron.conrol.ee.auh.gr/kehagas/ndex.hm

More information

Track Properities of Normal Chain

Track Properities of Normal Chain In. J. Conemp. Mah. Scences, Vol. 8, 213, no. 4, 163-171 HIKARI Ld, www.m-har.com rac Propes of Normal Chan L Chen School of Mahemacs and Sascs, Zhengzhou Normal Unversy Zhengzhou Cy, Hennan Provnce, 4544,

More information

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all

More information

Increasing the Probablility of Timely and Correct Message Delivery in Road Side Unit Based Vehicular Communcation

Increasing the Probablility of Timely and Correct Message Delivery in Road Side Unit Based Vehicular Communcation Halmsad Unversy For he Developmen of Organsaons Producs and Qualy of Lfe. Increasng he Probablly of Tmely and Correc Message Delvery n Road Sde Un Based Vehcular Communcaon Magnus Jonsson Krsna Kuner and

More information

Markup Variation and Endogenous Fluctuations in the Price of Investment Goods

Markup Variation and Endogenous Fluctuations in the Price of Investment Goods Markup Varaon and Endogenous Fluuaons n he Pre of Invesmen Goods Max Floeoo Sanford Unversy Nr Jamovh Sanford Unversy and NBER February 2009 Seh Pru Federal Reserve Board of Governors Absra The wo seor

More information

Chapter 5: Control Volume Approach and Continuity Principle Dr Ali Jawarneh

Chapter 5: Control Volume Approach and Continuity Principle Dr Ali Jawarneh Chaper 5: Conrol Volume Approach and Coninuiy Principle By Dr Ali Jawarneh Deparmen of Mechanical Engineering Hashemie Universiy 1 Ouline Rae of Flow Conrol volume approach. Conservaion of mass he coninuiy

More information

An introduction to Support Vector Machine

An introduction to Support Vector Machine An nroducon o Suppor Vecor Machne 報告者 : 黃立德 References: Smon Haykn, "Neural Neworks: a comprehensve foundaon, second edon, 999, Chaper 2,6 Nello Chrsann, John Shawe-Tayer, An Inroducon o Suppor Vecor Machnes,

More information

Available online at Energy Procedia 100 (2009) (2008) GHGT-9

Available online at   Energy Procedia 100 (2009) (2008) GHGT-9 Availale online at www.sciencedirect.com Energy Procedia (29) (28) 655 66 Energy Procedia www.elsevier.com/locate/procedia www.elsevier.com/locate/xxx GHGT-9 Pre-comustion CO 2 capture for IGCC plants

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

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

Journal of Theoretical and Applied Information Technology.

Journal of Theoretical and Applied Information Technology. Journal of heorecal and Appled Informaon echnology 5-9 JAI. All rghs reserved. www.ja.org NEW APPROXIMAION FOR ANDOFF RAE AND NUMBER OF ANDOFF PROBABILIY IN CELLULAR SYSEMS UNDER GENERAL DISRIBUIONS OF

More information

Double-Relaxation Solute Transport in Porous Media

Double-Relaxation Solute Transport in Porous Media ISSN: 35-38 Inernaonal Journal of Advaned Resear n Sene Engneerng and Tenology Vol. 5 Issue January 8 ouble-relaaon Solue Transpor n Porous Meda Bakyor Kuzayorov Tursunpulo zyanov Odl Kaydarov Professor

More information

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys Dual Approxmae Dynamc Programmng for Large Scale Hydro Valleys Perre Carpener and Jean-Phlppe Chanceler 1 ENSTA ParsTech and ENPC ParsTech CMM Workshop, January 2016 1 Jon work wh J.-C. Alas, suppored

More information

Handout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs.

Handout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs. Handou # 6 (MEEN 67) Numercal Inegraon o Fnd Tme Response of SDOF mechancal sysem Sae Space Mehod The EOM for a lnear sysem s M X DX K X F() () X X X X V wh nal condons, a 0 0 ; 0 Defne he followng varables,

More information

Distribution Feeder Reconfiguration in the New Environment Distribution Networks

Distribution Feeder Reconfiguration in the New Environment Distribution Networks Dsrbuon Feeder Reconfguraon n he New Envronmen Dsrbuon Neworks B. Bahman Absrac-- Due o he deregulaon and resrucurng n many counres, s expeced ha amoun of small-scale generaons conneced o he dsrbuon neworks

More information

Genetic Algorithm Approach for Multiobjective Green Supply Chain Design

Genetic Algorithm Approach for Multiobjective Green Supply Chain Design Genei Algorihm Approah for Muliobjeive Green Supply Chain Design Li-Chih Wang,, Ming-Chung Tan, I-Fan Chiang, Yin-Yann Chen 3, Sheng- Chieh Lin, Shuo-Tsung Chen Deparmen of Indusrial Engineering and Enerprise

More information

RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA

RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA Mchaela Chocholaá Unversy of Economcs Braslava, Slovaka Inroducon (1) one of he characersc feaures of sock reurns

More information

MAE143A Signals & Systems - Homework 2, Winter 2014 due by the end of class Thursday January 23, 2014.

MAE143A Signals & Systems - Homework 2, Winter 2014 due by the end of class Thursday January 23, 2014. MAE43A Signals & Sysems - Homework, Winer 4 due by he end of class Thursday January 3, 4. Quesion Zener diode malab [Chaparro Quesion.] A zener diode circui is such ha an oupu corresponding o an inpu v

More information

Idealize Bioreactor CSTR vs. PFR... 3 Analysis of a simple continuous stirred tank bioreactor... 4 Residence time distribution... 4 F curve:...

Idealize Bioreactor CSTR vs. PFR... 3 Analysis of a simple continuous stirred tank bioreactor... 4 Residence time distribution... 4 F curve:... Idealize Bioreaor CSTR vs. PFR... 3 Analysis of a simple oninuous sirred ank bioreaor... 4 Residene ime disribuion... 4 F urve:... 4 C urve:... 4 Residene ime disribuion or age disribuion... 4 Residene

More information

13.3 Term structure models

13.3 Term structure models 13.3 Term srucure models 13.3.1 Expecaions hypohesis model - Simples "model" a) shor rae b) expecaions o ge oher prices Resul: y () = 1 h +1 δ = φ( δ)+ε +1 f () = E (y +1) (1) =δ + φ( δ) f (3) = E (y +)

More information

Homework 4 (Stats 620, Winter 2017) Due Tuesday Feb 14, in class Questions are derived from problems in Stochastic Processes by S. Ross.

Homework 4 (Stats 620, Winter 2017) Due Tuesday Feb 14, in class Questions are derived from problems in Stochastic Processes by S. Ross. Homework 4 (Sas 62, Winer 217) Due Tuesday Feb 14, in class Quesions are derived from problems in Sochasic Processes by S. Ross. 1. Le A() and Y () denoe respecively he age and excess a. Find: (a) P{Y

More information

Normal Random Variable and its discriminant functions

Normal Random Variable and its discriminant functions Noral Rando Varable and s dscrnan funcons Oulne Noral Rando Varable Properes Dscrnan funcons Why Noral Rando Varables? Analycally racable Works well when observaon coes for a corruped snle prooype 3 The

More information

calculating electromagnetic

calculating electromagnetic Theoeal mehods fo alulang eleomagne felds fom lghnng dshage ajeev Thoapplll oyal Insue of Tehnology KTH Sweden ajeev.thoapplll@ee.kh.se Oulne Despon of he poblem Thee dffeen mehods fo feld alulaons - Dpole

More information

Fundamentals of PLLs (I)

Fundamentals of PLLs (I) Phae-Locked Loop Fundamenal of PLL (I) Chng-Yuan Yang Naonal Chung-Hng Unvery Deparmen of Elecrcal Engneerng Why phae-lock? - Jer Supreon - Frequency Synhe T T + 1 - Skew Reducon T + 2 T + 3 PLL fou =

More information

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach Mul-Fuel and Med-Mode IC Engne Combuson Smulaon wh a Dealed Chemsry Based Progress Varable Lbrary Approach Conens Inroducon Approach Resuls Conclusons 2 Inroducon New Combuson Model- PVM-MF New Legslaons

More information

PERISHABLES INVENTORY CONTROL MODEL UNDER TIME- VARYING AND CONTINUOUS DEMAND

PERISHABLES INVENTORY CONTROL MODEL UNDER TIME- VARYING AND CONTINUOUS DEMAND PERISHABLES INVENTORY CONTROL MODEL UNDER TIME- VARYING AND CONTINUOUS DEMAND Xangyang Ren 1, Hucong L, Meln Ce ABSTRACT: Ts paper consders e yseress persable caracerscs and sorage amoun of delayed rae

More information

Iterative Learning Control and Applications in Rehabilitation

Iterative Learning Control and Applications in Rehabilitation Ierave Learnng Conrol and Applcaons n Rehablaon Yng Tan The Deparmen of Elecrcal and Elecronc Engneerng School of Engneerng The Unversy of Melbourne Oulne 1. A bref nroducon of he Unversy of Melbourne

More information

A NEW METHOD OF FMS SCHEDULING USING OPTIMIZATION AND SIMULATION

A NEW METHOD OF FMS SCHEDULING USING OPTIMIZATION AND SIMULATION A NEW METHD F FMS SCHEDULING USING PTIMIZATIN AND SIMULATIN Ezedeen Kodeekha Deparmen of Producon, Informacs, Managemen and Conrol Faculy of Mechancal Engneerng udapes Unversy of Technology and Econcs

More information

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng

More information

Quantum Mechanical Foundations of Causal Entropic Forces

Quantum Mechanical Foundations of Causal Entropic Forces Quanum Mechancal Foundaons of ausal Enropc Forces wapnl hah Deparmen of Elecrcal and ompuer Engneerng Norh arolna ae Unversy, U s he number of expers ncrease, each specaly becomes all he more self-susanng

More information

Motivations. Opinions, influence networks and centrality. Small deliberative groups. Opinion Dynamics and the Evolution of Influence Networks

Motivations. Opinions, influence networks and centrality. Small deliberative groups. Opinion Dynamics and the Evolution of Influence Networks Movaons Opnon Dynamcs and he Evoluon of drvers Francesco Bullo Deparmen of Mechancal Engneerng Cener for Conrol, Dynamcal Sysems & Compuaon Unversy of Calforna a Sana Barbara bg daa ncreasngle avalable

More information

Planar truss bridge optimization by dynamic programming and linear programming

Planar truss bridge optimization by dynamic programming and linear programming IABSE-JSCE Jon Conference on Advances n Brdge Engneerng-III, Augus 1-, 015, Dhaka, Bangladesh. ISBN: 978-984-33-9313-5 Amn, Oku, Bhuyan, Ueda (eds.) www.abse-bd.org Planar russ brdge opmzaon by dynamc

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

3 at MAC 1140 TEST 3 NOTES. 5.1 and 5.2. Exponential Functions. Form I: P is the y-intercept. (0, P) When a > 1: a = growth factor = 1 + growth rate

3 at MAC 1140 TEST 3 NOTES. 5.1 and 5.2. Exponential Functions. Form I: P is the y-intercept. (0, P) When a > 1: a = growth factor = 1 + growth rate 1 5.1 and 5. Eponenial Funcions Form I: Y Pa, a 1, a > 0 P is he y-inercep. (0, P) When a > 1: a = growh facor = 1 + growh rae The equaion can be wrien as The larger a is, he seeper he graph is. Y P( 1

More information

Sliding Mode Controller for Unstable Systems

Sliding Mode Controller for Unstable Systems S. SIVARAMAKRISHNAN e al., Sliding Mode Conroller for Unsable Sysems, Chem. Biochem. Eng. Q. 22 (1) 41 47 (28) 41 Sliding Mode Conroller for Unsable Sysems S. Sivaramakrishnan, A. K. Tangirala, and M.

More information

Mass Transfer Coefficients (MTC) and Correlations I

Mass Transfer Coefficients (MTC) and Correlations I Mass Transfer Mass Transfer Coeffiiens (MTC) and Correlaions I 7- Mass Transfer Coeffiiens and Correlaions I Diffusion an be desribed in wo ways:. Deailed physial desripion based on Fik s laws and he diffusion

More information

Monetary policymaking and inflation expectations: The experience of Latin America

Monetary policymaking and inflation expectations: The experience of Latin America Moneary policymaking and inflaion expecaions: The experience of Lain America Luiz de Mello and Diego Moccero OECD Economics Deparmen Brazil/Souh America Desk 8h February 7 1999: new moneary policy regimes

More information

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration Naonal Exams December 205 04-BS-3 Bology 3 hours duraon NOTES: f doub exss as o he nerpreaon of any queson he canddae s urged o subm wh he answer paper a clear saemen of any assumpons made 2 Ths s a CLOSED

More information