SIMULATION ON HYDRAULIC HEATING SYSTEM OF BUILDING UNDER THE CONTROL OF THERMOSTAT RADIATOR VALVES. Xu Baoping, Fu Lin, and Di Hongfa

Size: px
Start display at page:

Download "SIMULATION ON HYDRAULIC HEATING SYSTEM OF BUILDING UNDER THE CONTROL OF THERMOSTAT RADIATOR VALVES. Xu Baoping, Fu Lin, and Di Hongfa"

Transcription

1 SIMULAION ON HYDRAULIC HEAING SYSEM OF BUILDING UNDER HE CONROL OF HERMOSA RADIAOR VALVES Xu Baoping Fu Lin and Di Hongfa Deparmen of Building Science and echnology singhua Universiy Beiing China ABSRAC Considering he dynamic conrol process of hermosaic radiaor valves (RVs) and adusemen behavior of consumers as well as hea ransfer hrough neighborhood he main purpose of his paper is o derive a oal model for simulaing and analyzing he dynamic behavior of hydraulic heaing sysem wih he conrol of RVs in muli-family building based on sae space model of room dynamic performance. his is done by reaing building and he heaing sysem as complee eniies. Firs of all he dynamic models for rooms radiaors and RVs are derived. hen he suggesed models are formulaed as a whole sysem. Mulizone model for he simulaion of building hermal performance is complicaed and will be more difficul when considering dynamic process of radiaors and RVs hus he hea ransfer beween neighboring rooms is simplified by using explici difference approximaely. Finally Deailed simulaion of an acual building is given o verify he componen models and heir ineracions. he experimenal measured neighbor rooms emperaure oudoor emperaure and supply emperaure are used as inpu o he model and he calculaed resuls are compared wih he measured air emperaure and reurn waer emperaure. he agreemen beween simulan and measured daa is quie good. KEYWORDS muli-family building simulaion hydraulic heaing sysem hermosa radiaor conrol valves variable flow-rae INRODUCION Lie many European counries China realizes ha hea meering and consumpion-based billing are criical o encourage space-heaing energy conservaion by giving individual households he opporuniy o regulae heir hea energy consumpion. Saring in he mid 1990s he naional and local governmens of China have suppored a range of demonsraion proecs o sudy hea meering echnologies (JP Building Engineers 02). he monioring daa obained from he demonsraion proecs indicaed ha hermosaic radiaor conrol valves (RVs) conribued significanly o reduce hea consumpion and he average reducion was abou 10% (Wang Z C 02). Meanwhile I brings new problems. RVs self-adusing and consumer s regulaion behavior mae he flow-rae variable in he new sysems oher han consan in he radiional ones which requires corresponding changes in design and conrol sraegies of he sysem (Di H F 00). hus a proper simulaion model is needed o serve as a useful ool in analyzing such problems. In order o derive a model for he hea dynamics of a building wo differen approaches may be used. he radiional approach is simply o use he nowledge of physical characerisic and well-esablished models of sub-processes. Mos simulaion models are based on firs principles and are available in a number of sofware pacages including EnergyPlus (Crawley 00) DOE-2 (Lawrence Bereley Laboraory 1982) HVACSIM+ (Clar D R 1985) RNSYS (Klein S A 1976) DES (ZHU Y X 03) ec. Jiang Y (1981) developed sae-space mehod for he simulaion of hermal behavior wihin an air-condiioned room. Hong Z (1997) preed a new mulizone model which is an improvemen on he sae space model. Deailed physical models are ime consuming and always need suiable simplificaion and assumpions. herefore a simplified physical model for esimaing he average air emperaure in muli-zone heaing sysem for use in an inferenial boiler conrol scheme was developed by Liao (04). An alernaive approach is o use building performance daa and saisical mehods. Lehernman (1982) uilized experimenal daa based on pseudrandom binary sequences of he inpu o deermin he hea dynamics. ARMAX models were discussed by Crawford (1985) who considerd a single-family residence wih elecric heaing. A saisical approach he grey box modeling mehod was applied by Mad (1995) in order o drive a oal model for he hea dynamics of a building wih a single es room. Ander (00) uilized colleced building performance daa and saisical mehods o obain a sysem of sochasic difference equaions for he hea dynamics in a residenial building. Braun and Chaurvedi (02) developed an inverse gray box hermal newor model for ransien building load predicion. Wang S W (06) preed he building inernal mass wih a hermal newor srucure of lumped hermal mass and esimaed he lumped parameers using operaion daa. he main drawbacs of saisical models are

2 ha hey require a significan amoun of raining daa and may no always reflec he physical behaviors. Defferen models concenrae on differen aspecs according o heir inenion. A special problem of mos exied models is ha hey focus much on buildings characerisic bu lile on deailed hydraulic heaing sysem e.g. he RVs dynamic conrol process and consumers adusmen behavior is always no ae accoun in which may be especially imporan in analyzing conrol sraegies. Furhermore he models always based on a singlefamily residence or occupied office building hea ransfer hrough neighborhood consumers such as occurred in Chinese muli-family buildings can no be considered. In view of wha menioned above and based on sae space model of room dynamic performance he main purpose of his paper is o derive a oal model for analysis compuaion and simulaion on he dynamic behavior of hydraulic heaing sysem wih he conrol of RVs in muli-room building which is done by reaing buildings and he sysems as complee eniies. Dynamic models for room radiaor and RVs are derived. hen he suggesed models are formulaed as a whole sysem. Mulizone model for he simulaion of building hermal performance is complicaed and will be more difficul when considering dynamic process of radiaor and RVs hus he hea ransfer beween neighboring rooms is simplified. Finally i is demonsraed ha he whole model gives a reasonable descripion of dynamical behavior of he experimenal building. HE MODELING APPROACH he mulizone model is improved from he sae space mehod (Yi Jiang 1981). Insead of reaing all of a building s node ogeher as a sae space i reas a building as separae zones and each zone consrucs a sub sae space wih all is nodes ogeher. Room model he main hea disurbances ha influence he room air emperaure are solar radiaion indoor casual gains ou door emperaure hea inpu from radiaors air emperaure of adacen zones infilraion or venilaion hrough openings. Firs hree of he hea disurbances values menioned above are nown or can be direcly calculaed. he long wave radiaion exchange beween an exernal surface of a zone wih he inernal surfaces of he adacen zone is simplified ino he convecive hea ransfer beween he exernal surface of his zone and he air of he adacen zones. According o he sub sae space model of each zone and he feaure of each hea disurbance he room emperaure can be calculaed as: = + ψ + ψ Q a bz1 0 a 1 + ψ Q + ψ c ρv ()[ ()] rad 0 v p ou ou a + ψ c ρv ()[ ()] (1) v p a a repres he air emperaure of room bz1 wihou considering he influence of hea ransfer beween hermal zones he hea inpu from radiaor and infilraion a ime ; ψ ψ 0 1 ψ rad 0 ψ v separaely repres he influence coefficien of he adacen zones air emperaure a hea emi from adacen zones Q and calculaion zone Q naural venilaionv ou and adacen venilaion V o he room emperaure a ime. Yi Jiang (1981) Gives deailed calculaion mehod of hese influence coefficiens. he only difference is ha Jiang discussed a residenial space-condiioning sysem for which air condiioning influence he room emperaure only hrough convecion while his paper focuses on hydraulic heaing sysem for which hea ransfer from he radiaors no only o he air hrough convecion bu also o he inernal surfaces of envelope hrough radiaion. Considering he conrol process of RVs he sampling ime is cho based on a priori esimae of he smalles ime consan e.g. when ime consan of RVs is 10min 5min is aen as he sampling ime. Room emperaure will be changed lile during wo calculaion sep herefore he previous calculaion resul of neighbour room emperaure and radiaor emi are used o approximae he influence of neighbour disurbance. Equaion (1) can be approximaed as = + ψ ( 1) + ψ Q ( 1) a bz1 0 a 1 + ψrad0 Q + ψv cpρvou ()[ ou a ()] + ψv c ρv ()[ ( 1) a ()] (2) p a his approximaion is esial o simplify he coupling beween one zone and is adacen zones hus he sae space for he building can be decomposed ino sub sae spaces for each zone. Equaion (2) can also be wrien as Q Where () = () +ψ () () (3) a bz 01 bz + [ ψ ( 1) + ψ Q ( 1)] bz1 0 a 1 = 1 + ψ c ρ[ V ( ) + V ( )] v p ou ψ cρ[ V ( ) ( ) + V ( ) ( 1)] v p ou ou a ψ c ρ[ V ( ) + V ( )] v p ou

3 ψ 01 ψ rad0 = + ψ ρ v p ou + 1 c [ V ( ) V ( )] Radiaor model he power from he radiaor is no nown compleely and has o be modeled as well. he radiaor emis hea o he ambien hrough boh convecion and radiaion. For a given ype of radiaor he proporion of convecion and radiaion can be reaed as consan (Zhang X 1996). I has been considered in he calculaion of influence coefficien. Inroducing effecive coefficienε dynamic equaion of radiaor can be wrien as drad Crad = Cwqm ε ()[ s a ()] K ( ) A [ ( ) ( )] (4) rad rad rad a Q ( ) = K ( ) A [ ( ) ( )]. (5) rad rad rad a s re () rad ( ) = + a ( ) (6) s a () ln re a K ( ) = α ( ) β (7) ε rad rad a K A s re rad rad ( ) = = 1exp[ ]. (8) C q s a w m α β are characerisic coefficiens of radiaor gained from sandard experimen. Subscrip rad repres radiaor w repres waer s repres supply waer re repres reurn waer. RVs model Sense emperaure In he process of room emperaure flucuaion he emperaure of RVs se can no be he same as he room emperaure a once because of is hermal capaciy. I can be expressed as d C = K A [ ( ) ( ) ]. (9) a a Define following variable = C K A Equaion 4 will become d + ( ) = a ( ). (10) C is hea capaciy is emperaure is ime K is hea ransfer coefficien A is surface area is ime consan; subscrip repres se a repres air. ae Δ as calculaion sep he relaion beween and a a ( Δ ) may approximaely be described as zero-ran. ( ) = ( η) = ( Δ) η Δ (11) a a a hen he discree soluion of Eq (10) will be Δ Δ () e ( ) (1 e ) ( ) a = Δ + Δ. (12) Flow conrol he radiaor hermosa will always respond o changes in room emperaure by conrolling he flowrae of radiaor. he calibraed pressure in he bellows corresponds o he emperaure of he sor. his pressure is balanced by he force of a regular spring. On a rise in ambien emperaure he pressure rises in he bellows moving he valve cone owards he closed posiion unil equilibrium exiss beween he bellows and he spring. Conrol equaions of RVs can be se up based on he characerisic curves gained from he es according o CEN EN215 sandard (04) wih a pressure drop across he valve a 0.1 bar. Assuming ha he pressure drop across he valve mainains Δ p under operaing siuaion he flow conrol characerisic can be discribed using Eq (13). Coefficiens A B and C in Eq (13) can be gained from he curves by using leas - square fiing. q m 2 2 Δp / 0.1 A ( )+ B ( )+ C ( ) 0; Δ Δ Δ > = (13) 0 Δ ( ) 0. Δ ( ) = ( ) ( ). (14) cls q m is qualiy flow-rae cls is closing emperaure deermined by se value of emperaure selecor. Formulaion of a oal model he models of room radiaor and RVs are no independen. he variables in one model always inerac wih hose in oher models. Some approximae measures are aen as decoupling e.g. dealing wih he influence of neighbour disurbance as menioned above. he variables such as radiaor power and room emperaure are sill coupling which should be simulaneously resolved by equaions. From Eq(3) and Eq(5) Eq(15) will become + ψ K A bz 01 rad rad rad a ( ) =. (15) 1 + ψ 01 ( K ) rad ( A ) rad Pu Eq(15) ino Eq(4) Eq(4) can be ransformed o drad = B2 + B1 rad ( ). (16)

4 ψ K A [ K A C q () ε ] K A B = 1 [1 + ψ K A ] C C 01 rad rad rad rad C q () ε [ K A - C q () ε ] w m s rad rad w m bz B = + 2. C [1 + ψ K A ] C 01 rad rad rad rad w m rad rad rad 01 rad rad rad Resolve differenial equaion (16) he main emperaure of radiaor can be calculaed as B ( ) = e ( Δ) (1 e ). (17) rad B1 Δ 2 B1 Δ rad B1 he model aes weaher parameer supply waer indoor casual hea gains seing poin of RVs and characerisic value of each componen as inpu. For he oal model every room s air emperaure and radiaor power are boh unnown however in every calculaion sep for he calculaing room emperaure and radiaor power of neighbor rooms are ransformed o nown values hrough proper approximaion. Supposing ha he ime varian venilaion scheme is nown and flow rae can be calculaed using room emperaure a ime -1 according o flow conrol model he unnown value lef are air emperaure and radiaor power of room which can be obained from Eq (17) Eq (15) and Eq (5). he reurn emperaure of radiaor can also be go from Eq(8). So a ime all of he rooms radiaor flow rae waer reurn emperaure power and air emperaure can be calculaed one by one. Finally ime series respond of oal waer flow and reurn emperaure in he building can be gained based on he qualiy and hea quaniy conservaion. q = q (18) o m m reo q m = re q model validaion m o bedroom bedroom ichen siingroom Fig.1 heaing sysem in he room (19) θ a/ θ re/ /d observed simulaed Fig.2 measured and calculaed room emperaure For esing he model some disric hea-meering sysem in Beiing was invesigaed during he flow in each radiaor is conrolled by a hermosaic valve (Fig1). Regulae he valve according o schedule during Pu he seing poin of he valves o anifreezing posiion during am 8: pm 17:00 and o maximal value a oher ime. aing norh bedroom as main sudy obec emperaure self-record meers which can record he value per 5min were insalled in he room all of is neighbor rooms ouside he room and a he oule/inle of he radiaors. Solar radiaion and indoor casual hea gains can be ignored in he norhern empy esed room. he experimenal measured neighbor room emperaure oudoor emperaure and supply emperaure are used as inpu o he model hen he measured air emperaure and reurn waer emperaure are compared wih he calculaed values. In figure 2 and figure 3 he agreemen beween simulaed and measured values is quie good. he resul shows ha he maximal simulaion deviaion of reurn emperaure and room emperaure are boh less han 1. Some of he differences mus be aribued o hree facors. One is experimenal error;second he accurae values of hea ransfer coefficien of he envelope is hard o obained; hird /d observed simulaed Fig.3 measured and calculaed reurn waer emperaure 0 θ ou/

5 he influence of he wind speed is no aing ino consideraion. CONCLUSIONS A oal model is formulaed which can serve as a reasonable approximaion of he hea and hydraulic dynamics of muli-family building under he RVs conrol. Brief descripions of models for several componens such as room radiaor and RVs are given. he sub-models are no reaed independenly bu formulaed as a whole model hrough simulaneously resolving he equaions. An approximae mehod is used o simplify he coupling beween one zone and is adacen zones in he building. Comparisons beween simulan and experimenal daa indicae ha he model is suiable for deailed simulaion. REFERENCES JP Building Engineers (Espoo/Finland) Cener for Energy Efficiency in Buildings (Beiing/China). Hea Meering and Billing:echnical Opions Policies and Regulaions.Chinese Demonsraion Proecs and Inernaional Experiences 02 Wang Z C Di H F.he sae-of-ar and problems in hea meering and billing. disric heaing 02 3: 1-5. Di H F Jiang Y Qin X Z.Operaion and managemen of he cenral heaing sysem wih hea meaering and charging. heaing venilaing and air condiioning 00 30(5): Crawley Drury B. Energyplus: energy simulaion program. ASHRAE J 0042(4): Lawrence Bereley Laboraory. DOE-2 engineering manual version 2.1C. Bereley CA Lawrence Bereley Laboraory Clar D R. Dynamic models for HVAC Sysem Componens. ASHRAE ransacions : Klein S A. RNSYS A ransien simulaion program. ASHRAE ransacions : Zhu Y X Jiang Y. DeS A Simulaion ool in HVAC Commissioning. IEA ANNEX 40 Worshop Kyoo Japan April 03. Jiang Y. Sae-space mehod for he calculaion of air-condiioning loads and he simulaion of hermal behavior of he room. ASHRAE ransacions : HONG JIANG Y. A new mulizone model for he simulaion of building hermal performance. Building and Environmen (2): Liao Z Dexer A L. A simplified model for esimaing he average air emperaure in mulizone heaing sysems. Building and Environmen 04 39: Leherman K M Pailing C J Par P M. he measuremen of dynamic hermal response in rooms using psedo-radom binary sequences. Building and Environmen (1). Crawford R R Woods J E. A mehod for deriving a dynamic sysem model from acual building performance daa ASHRAE ransacions (2). Mad H Hols J. Esimaion of coninuous-ime models for he hea dynamics of a building. Energy and Buildings : Ander K K Mad H Han L H. Modeling he hea dynamics of a building using sochasic differenial equaions. Energy and Buildings 00 31: Braun J Chaurvedi N. An inverse gray-box model for ransien building load predicion. HVAC & R Res. 02 8(1): Wang S W Xu X H. Parameer esimaion of inernal hermal mass of building dynamic models using geneic algorihm. Energy Conversion and Managemen : Zhang X Zhang W L Yu W J. Experimenal sudy on he raio beween radiaion and convecion of normal radiaors. heaing venilaing and air condiioning 19946: he European Sandard EN215: hermosaic Radiaor Valves Requiremens and es Mehods

Sub Module 2.6. Measurement of transient temperature

Sub Module 2.6. Measurement of transient temperature Mechanical Measuremens Prof. S.P.Venkaeshan Sub Module 2.6 Measuremen of ransien emperaure Many processes of engineering relevance involve variaions wih respec o ime. The sysem properies like emperaure,

More information

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

Simplified Indices Assessing Building Envelope's Dynamic Thermal Performance: A Survey

Simplified Indices Assessing Building Envelope's Dynamic Thermal Performance: A Survey Simplified Indices Assessing Building Envelope's Dynamic Thermal Performance: A Survey Ferrari, S. Building Environmen Science and Technology Deparmen, Poliecnico di Milano (email: simone.ferrari@polimi.i)

More information

04. Kinetics of a second order reaction

04. Kinetics of a second order reaction 4. Kineics of a second order reacion Imporan conceps Reacion rae, reacion exen, reacion rae equaion, order of a reacion, firs-order reacions, second-order reacions, differenial and inegraed rae laws, Arrhenius

More information

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature On Measuring Pro-Poor Growh 1. On Various Ways of Measuring Pro-Poor Growh: A Shor eview of he Lieraure During he pas en years or so here have been various suggesions concerning he way one should check

More information

Scientific Herald of the Voronezh State University of Architecture and Civil Engineering. Construction and Architecture

Scientific Herald of the Voronezh State University of Architecture and Civil Engineering. Construction and Architecture Scienific Herald of he Voronezh Sae Universiy of Archiecure and Civil Engineering. Consrucion and Archiecure UDC 625.863.6:551.328 Voronezh Sae Universiy of Archiecure and Civil Engineering Ph. D. applican

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

20. Applications of the Genetic-Drift Model

20. Applications of the Genetic-Drift Model 0. Applicaions of he Geneic-Drif Model 1) Deermining he probabiliy of forming any paricular combinaion of genoypes in he nex generaion: Example: If he parenal allele frequencies are p 0 = 0.35 and q 0

More information

Load Calculations Heat Balance Method - Theory. Prof. Jeffrey D. Spitler School of Mechanical and Aerospace Engineering, Oklahoma State University

Load Calculations Heat Balance Method - Theory. Prof. Jeffrey D. Spitler School of Mechanical and Aerospace Engineering, Oklahoma State University Load Calculaions Hea Balance Mehod - Theory Prof. Jeffrey D. Spiler School of Mechanical and Aerospace Engineering, Oklahoma Sae Universiy Tonigh The hea balance mehod heory The hea balance mehod applicaion

More information

CHAPTER 10 VALIDATION OF TEST WITH ARTIFICAL NEURAL NETWORK

CHAPTER 10 VALIDATION OF TEST WITH ARTIFICAL NEURAL NETWORK 175 CHAPTER 10 VALIDATION OF TEST WITH ARTIFICAL NEURAL NETWORK 10.1 INTRODUCTION Amongs he research work performed, he bes resuls of experimenal work are validaed wih Arificial Neural Nework. From he

More information

MATHEMATICAL DESCRIPTION OF THEORETICAL METHODS OF RESERVE ECONOMY OF CONSIGNMENT STORES

MATHEMATICAL DESCRIPTION OF THEORETICAL METHODS OF RESERVE ECONOMY OF CONSIGNMENT STORES MAHEMAICAL DESCIPION OF HEOEICAL MEHODS OF ESEVE ECONOMY OF CONSIGNMEN SOES Péer elek, József Cselényi, György Demeer Universiy of Miskolc, Deparmen of Maerials Handling and Logisics Absrac: Opimizaion

More information

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi Creep in Viscoelasic Subsances Numerical mehods o calculae he coefficiens of he Prony equaion using creep es daa and Herediary Inegrals Mehod Navnee Saini, Mayank Goyal, Vishal Bansal (23); Term Projec

More information

Final Spring 2007

Final Spring 2007 .615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION DOI: 0.038/NCLIMATE893 Temporal resoluion and DICE * Supplemenal Informaion Alex L. Maren and Sephen C. Newbold Naional Cener for Environmenal Economics, US Environmenal Proecion

More information

Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model

Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model Modal idenificaion of srucures from roving inpu daa by means of maximum likelihood esimaion of he sae space model J. Cara, J. Juan, E. Alarcón Absrac The usual way o perform a forced vibraion es is o fix

More information

Excel-Based Solution Method For The Optimal Policy Of The Hadley And Whittin s Exact Model With Arma Demand

Excel-Based Solution Method For The Optimal Policy Of The Hadley And Whittin s Exact Model With Arma Demand Excel-Based Soluion Mehod For The Opimal Policy Of The Hadley And Whiin s Exac Model Wih Arma Demand Kal Nami School of Business and Economics Winson Salem Sae Universiy Winson Salem, NC 27110 Phone: (336)750-2338

More information

Computer Simulates the Effect of Internal Restriction on Residuals in Linear Regression Model with First-order Autoregressive Procedures

Computer Simulates the Effect of Internal Restriction on Residuals in Linear Regression Model with First-order Autoregressive Procedures MPRA Munich Personal RePEc Archive Compuer Simulaes he Effec of Inernal Resricion on Residuals in Linear Regression Model wih Firs-order Auoregressive Procedures Mei-Yu Lee Deparmen of Applied Finance,

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

L1, L2, N1 N2. + Vout. C out. Figure 2.1.1: Flyback converter

L1, L2, N1 N2. + Vout. C out. Figure 2.1.1: Flyback converter page 11 Flyback converer The Flyback converer belongs o he primary swiched converer family, which means here is isolaion beween in and oupu. Flyback converers are used in nearly all mains supplied elecronic

More information

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims Problem Se 5 Graduae Macro II, Spring 2017 The Universiy of Nore Dame Professor Sims Insrucions: You may consul wih oher members of he class, bu please make sure o urn in your own work. Where applicable,

More information

Air Traffic Forecast Empirical Research Based on the MCMC Method

Air Traffic Forecast Empirical Research Based on the MCMC Method Compuer and Informaion Science; Vol. 5, No. 5; 0 ISSN 93-8989 E-ISSN 93-8997 Published by Canadian Cener of Science and Educaion Air Traffic Forecas Empirical Research Based on he MCMC Mehod Jian-bo Wang,

More information

Curling Stress Equation for Transverse Joint Edge of a Concrete Pavement Slab Based on Finite-Element Method Analysis

Curling Stress Equation for Transverse Joint Edge of a Concrete Pavement Slab Based on Finite-Element Method Analysis TRANSPORTATION RESEARCH RECORD 155 35 Curling Sress Equaion for Transverse Join Edge of a Concree Pavemen Slab Based on Finie-Elemen Mehod Analysis TATSUO NISHIZAWA, TADASHI FUKUDA, SABURO MATSUNO, AND

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4.

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4. PHY1 Elecriciy Topic 7 (Lecures 1 & 11) Elecric Circuis n his opic, we will cover: 1) Elecromoive Force (EMF) ) Series and parallel resisor combinaions 3) Kirchhoff s rules for circuis 4) Time dependence

More information

2. Nonlinear Conservation Law Equations

2. Nonlinear Conservation Law Equations . Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear

More information

Biol. 356 Lab 8. Mortality, Recruitment, and Migration Rates

Biol. 356 Lab 8. Mortality, Recruitment, and Migration Rates Biol. 356 Lab 8. Moraliy, Recruimen, and Migraion Raes (modified from Cox, 00, General Ecology Lab Manual, McGraw Hill) Las week we esimaed populaion size hrough several mehods. One assumpion of all hese

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and

More information

Heat Transfer. Revision Examples

Heat Transfer. Revision Examples Hea Transfer Revision Examples Hea ransfer: energy ranspor because of a emperaure difference. Thermal energy is ransferred from one region o anoher. Hea ranspor is he same phenomena lie mass ransfer, momenum

More information

Lab 10: RC, RL, and RLC Circuits

Lab 10: RC, RL, and RLC Circuits Lab 10: RC, RL, and RLC Circuis In his experimen, we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors. We will sudy he way volages and currens change in

More information

PHYS 1401 General Physics I Test 3 Review Questions

PHYS 1401 General Physics I Test 3 Review Questions PHYS 1401 General Physics I Tes 3 Review Quesions Ch. 7 1. A 6500 kg railroad car moving a 4.0 m/s couples wih a second 7500 kg car iniially a res. a) Skech before and afer picures of he siuaion. b) Wha

More information

Anti-Disturbance Control for Multiple Disturbances

Anti-Disturbance Control for Multiple Disturbances Workshop a 3 ACC Ani-Disurbance Conrol for Muliple Disurbances Lei Guo (lguo@buaa.edu.cn) Naional Key Laboraory on Science and Technology on Aircraf Conrol, Beihang Universiy, Beijing, 9, P.R. China. Presened

More information

A Dynamic Model of Economic Fluctuations

A Dynamic Model of Economic Fluctuations CHAPTER 15 A Dynamic Model of Economic Flucuaions Modified for ECON 2204 by Bob Murphy 2016 Worh Publishers, all righs reserved IN THIS CHAPTER, OU WILL LEARN: how o incorporae dynamics ino he AD-AS model

More information

IMPROVED HYPERBOLIC FUNCTION METHOD AND EXACT SOLUTIONS FOR VARIABLE COEFFICIENT BENJAMIN-BONA-MAHONY-BURGERS EQUATION

IMPROVED HYPERBOLIC FUNCTION METHOD AND EXACT SOLUTIONS FOR VARIABLE COEFFICIENT BENJAMIN-BONA-MAHONY-BURGERS EQUATION THERMAL SCIENCE, Year 015, Vol. 19, No. 4, pp. 1183-1187 1183 IMPROVED HYPERBOLIC FUNCTION METHOD AND EXACT SOLUTIONS FOR VARIABLE COEFFICIENT BENJAMIN-BONA-MAHONY-BURGERS EQUATION by Hong-Cai MA a,b*,

More information

Electrical and current self-induction

Electrical and current self-induction Elecrical and curren self-inducion F. F. Mende hp://fmnauka.narod.ru/works.hml mende_fedor@mail.ru Absrac The aricle considers he self-inducance of reacive elemens. Elecrical self-inducion To he laws of

More information

Reliability of Technical Systems

Reliability of Technical Systems eliabiliy of Technical Sysems Main Topics Inroducion, Key erms, framing he problem eliabiliy parameers: Failure ae, Failure Probabiliy, Availabiliy, ec. Some imporan reliabiliy disribuions Componen reliabiliy

More information

Robust estimation based on the first- and third-moment restrictions of the power transformation model

Robust estimation based on the first- and third-moment restrictions of the power transformation model h Inernaional Congress on Modelling and Simulaion, Adelaide, Ausralia, 6 December 3 www.mssanz.org.au/modsim3 Robus esimaion based on he firs- and hird-momen resricions of he power ransformaion Nawaa,

More information

Theory of! Partial Differential Equations!

Theory of! Partial Differential Equations! hp://www.nd.edu/~gryggva/cfd-course/! Ouline! Theory o! Parial Dierenial Equaions! Gréar Tryggvason! Spring 011! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

Sterilization D Values

Sterilization D Values Seriliaion D Values Seriliaion by seam consis of he simple observaion ha baceria die over ime during exposure o hea. They do no all live for a finie period of hea exposure and hen suddenly die a once,

More information

EE100 Lab 3 Experiment Guide: RC Circuits

EE100 Lab 3 Experiment Guide: RC Circuits I. Inroducion EE100 Lab 3 Experimen Guide: A. apaciors A capacior is a passive elecronic componen ha sores energy in he form of an elecrosaic field. The uni of capaciance is he farad (coulomb/vol). Pracical

More information

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé Bias in Condiional and Uncondiional Fixed Effecs Logi Esimaion: a Correcion * Tom Coupé Economics Educaion and Research Consorium, Naional Universiy of Kyiv Mohyla Academy Address: Vul Voloska 10, 04070

More information

RC, RL and RLC circuits

RC, RL and RLC circuits Name Dae Time o Complee h m Parner Course/ Secion / Grade RC, RL and RLC circuis Inroducion In his experimen we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors.

More information

Development of a new metrological model for measuring of the water surface evaporation Tovmach L. Tovmach Yr. Abstract Introduction

Development of a new metrological model for measuring of the water surface evaporation Tovmach L. Tovmach Yr. Abstract Introduction Developmen of a new merological model for measuring of he waer surface evaporaion Tovmach L. Tovmach Yr. Sae Hydrological Insiue 23 Second Line, 199053 S. Peersburg, Russian Federaion Telephone (812) 323

More information

A Specification Test for Linear Dynamic Stochastic General Equilibrium Models

A Specification Test for Linear Dynamic Stochastic General Equilibrium Models Journal of Saisical and Economeric Mehods, vol.1, no.2, 2012, 65-70 ISSN: 2241-0384 (prin), 2241-0376 (online) Scienpress Ld, 2012 A Specificaion Tes for Linear Dynamic Sochasic General Equilibrium Models

More information

NUMERICAL SIMULATION OF A DISTRICT HEATING SYSTEM WITH EMPHASES ON TRANSIENT TEMPERATURE BEHAVIOUR

NUMERICAL SIMULATION OF A DISTRICT HEATING SYSTEM WITH EMPHASES ON TRANSIENT TEMPERATURE BEHAVIOUR ENVIRONMENTAL ENGINEERING The 8 h Inernaional Conference May 9 2, 2, Vilnius, Lihuania Seleced papers ISSN 229-76 prin / ISSN 229-792 online ISBN 978-9955-28-828-2 (2 Volume) ISBN 978-9955-28-827-5 (3

More information

Basic Circuit Elements Professor J R Lucas November 2001

Basic Circuit Elements Professor J R Lucas November 2001 Basic Circui Elemens - J ucas An elecrical circui is an inerconnecion of circui elemens. These circui elemens can be caegorised ino wo ypes, namely acive and passive elemens. Some Definiions/explanaions

More information

CHEMICAL KINETICS: 1. Rate Order Rate law Rate constant Half-life Temperature Dependence

CHEMICAL KINETICS: 1. Rate Order Rate law Rate constant Half-life Temperature Dependence CHEMICL KINETICS: Rae Order Rae law Rae consan Half-life Temperaure Dependence Chemical Reacions Kineics Chemical ineics is he sudy of ime dependence of he change in he concenraion of reacans and producs.

More information

Class Meeting # 10: Introduction to the Wave Equation

Class Meeting # 10: Introduction to the Wave Equation MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion

More information

Lecture 3: Exponential Smoothing

Lecture 3: Exponential Smoothing NATCOR: Forecasing & Predicive Analyics Lecure 3: Exponenial Smoohing John Boylan Lancaser Cenre for Forecasing Deparmen of Managemen Science Mehods and Models Forecasing Mehod A (numerical) procedure

More information

Numerical Simulation of the Overall Flow Field for Underwater Vehicle with Pump Jet Thruster

Numerical Simulation of the Overall Flow Field for Underwater Vehicle with Pump Jet Thruster Available online a www.sciencedirec.com Procedia Engineering 31 (2012) 769 774 Inernaional Conference on Advances in Compuaional Modeling and Simulaion Numerical Simulaion of he Overall Flow Field for

More information

Module 3: The Damped Oscillator-II Lecture 3: The Damped Oscillator-II

Module 3: The Damped Oscillator-II Lecture 3: The Damped Oscillator-II Module 3: The Damped Oscillaor-II Lecure 3: The Damped Oscillaor-II 3. Over-damped Oscillaions. This refers o he siuaion where β > ω (3.) The wo roos are and α = β + α 2 = β β 2 ω 2 = (3.2) β 2 ω 2 = 2

More information

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

R t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t

R t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t Exercise 7 C P = α + β R P + u C = αp + βr + v (a) (b) C R = α P R + β + w (c) Assumpions abou he disurbances u, v, w : Classical assumions on he disurbance of one of he equaions, eg. on (b): E(v v s P,

More information

Solutions to Odd Number Exercises in Chapter 6

Solutions to Odd Number Exercises in Chapter 6 1 Soluions o Odd Number Exercises in 6.1 R y eˆ 1.7151 y 6.3 From eˆ ( T K) ˆ R 1 1 SST SST SST (1 R ) 55.36(1.7911) we have, ˆ 6.414 T K ( ) 6.5 y ye ye y e 1 1 Consider he erms e and xe b b x e y e b

More information

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits DOI: 0.545/mjis.07.5009 Exponenial Weighed Moving Average (EWMA) Char Under The Assumpion of Moderaeness And Is 3 Conrol Limis KALPESH S TAILOR Assisan Professor, Deparmen of Saisics, M. K. Bhavnagar Universiy,

More information

Appendix to Creating Work Breaks From Available Idleness

Appendix to Creating Work Breaks From Available Idleness Appendix o Creaing Work Breaks From Available Idleness Xu Sun and Ward Whi Deparmen of Indusrial Engineering and Operaions Research, Columbia Universiy, New York, NY, 127; {xs2235,ww24}@columbia.edu Sepember

More information

Notes on Kalman Filtering

Notes on Kalman Filtering Noes on Kalman Filering Brian Borchers and Rick Aser November 7, Inroducion Daa Assimilaion is he problem of merging model predicions wih acual measuremens of a sysem o produce an opimal esimae of he curren

More information

Inventory Control of Perishable Items in a Two-Echelon Supply Chain

Inventory Control of Perishable Items in a Two-Echelon Supply Chain Journal of Indusrial Engineering, Universiy of ehran, Special Issue,, PP. 69-77 69 Invenory Conrol of Perishable Iems in a wo-echelon Supply Chain Fariborz Jolai *, Elmira Gheisariha and Farnaz Nojavan

More information

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB Elecronic Companion EC.1. Proofs of Technical Lemmas and Theorems LEMMA 1. Le C(RB) be he oal cos incurred by he RB policy. Then we have, T L E[C(RB)] 3 E[Z RB ]. (EC.1) Proof of Lemma 1. Using he marginal

More information

An introduction to the theory of SDDP algorithm

An introduction to the theory of SDDP algorithm An inroducion o he heory of SDDP algorihm V. Leclère (ENPC) Augus 1, 2014 V. Leclère Inroducion o SDDP Augus 1, 2014 1 / 21 Inroducion Large scale sochasic problem are hard o solve. Two ways of aacking

More information

Improved Approximate Solutions for Nonlinear Evolutions Equations in Mathematical Physics Using the Reduced Differential Transform Method

Improved Approximate Solutions for Nonlinear Evolutions Equations in Mathematical Physics Using the Reduced Differential Transform Method Journal of Applied Mahemaics & Bioinformaics, vol., no., 01, 1-14 ISSN: 179-660 (prin), 179-699 (online) Scienpress Ld, 01 Improved Approimae Soluions for Nonlinear Evoluions Equaions in Mahemaical Physics

More information

CHBE320 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang

CHBE320 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang CHBE320 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS Professor Dae Ryook Yang Spring 208 Dep. of Chemical and Biological Engineering CHBE320 Process Dynamics and Conrol 4- Road Map of he Lecure

More information

Applying Genetic Algorithms for Inventory Lot-Sizing Problem with Supplier Selection under Storage Capacity Constraints

Applying Genetic Algorithms for Inventory Lot-Sizing Problem with Supplier Selection under Storage Capacity Constraints IJCSI Inernaional Journal of Compuer Science Issues, Vol 9, Issue 1, No 1, January 2012 wwwijcsiorg 18 Applying Geneic Algorihms for Invenory Lo-Sizing Problem wih Supplier Selecion under Sorage Capaciy

More information

Theory of! Partial Differential Equations-I!

Theory of! Partial Differential Equations-I! hp://users.wpi.edu/~grear/me61.hml! Ouline! Theory o! Parial Dierenial Equaions-I! Gréar Tryggvason! Spring 010! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

The fundamental mass balance equation is ( 1 ) where: I = inputs P = production O = outputs L = losses A = accumulation

The fundamental mass balance equation is ( 1 ) where: I = inputs P = production O = outputs L = losses A = accumulation Hea (iffusion) Equaion erivaion of iffusion Equaion The fundamenal mass balance equaion is I P O L A ( 1 ) where: I inpus P producion O oupus L losses A accumulaion Assume ha no chemical is produced or

More information

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE Version April 30, 2004.Submied o CTU Repors. EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE Per Krysl Universiy of California, San Diego La Jolla, California 92093-0085,

More information

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Kriging Models Predicing Arazine Concenraions in Surface Waer Draining Agriculural Waersheds Paul L. Mosquin, Jeremy Aldworh, Wenlin Chen Supplemenal Maerial Number

More information

Chapter 5 Digital PID control algorithm. Hesheng Wang Department of Automation,SJTU 2016,03

Chapter 5 Digital PID control algorithm. Hesheng Wang Department of Automation,SJTU 2016,03 Chaper 5 Digial PID conrol algorihm Hesheng Wang Deparmen of Auomaion,SJTU 216,3 Ouline Absrac Quasi-coninuous PID conrol algorihm Improvemen of sandard PID algorihm Choosing parameer of PID regulaor Brief

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

Online Appendix to Solution Methods for Models with Rare Disasters

Online Appendix to Solution Methods for Models with Rare Disasters Online Appendix o Soluion Mehods for Models wih Rare Disasers Jesús Fernández-Villaverde and Oren Levinal In his Online Appendix, we presen he Euler condiions of he model, we develop he pricing Calvo block,

More information

Mechanical Fatigue and Load-Induced Aging of Loudspeaker Suspension. Wolfgang Klippel,

Mechanical Fatigue and Load-Induced Aging of Loudspeaker Suspension. Wolfgang Klippel, Mechanical Faigue and Load-Induced Aging of Loudspeaker Suspension Wolfgang Klippel, Insiue of Acousics and Speech Communicaion Dresden Universiy of Technology presened a he ALMA Symposium 2012, Las Vegas

More information

V AK (t) I T (t) I TRM. V AK( full area) (t) t t 1 Axial turn-on. Switching losses for Phase Control and Bi- Directionally Controlled Thyristors

V AK (t) I T (t) I TRM. V AK( full area) (t) t t 1 Axial turn-on. Switching losses for Phase Control and Bi- Directionally Controlled Thyristors Applicaion Noe Swiching losses for Phase Conrol and Bi- Direcionally Conrolled Thyrisors V AK () I T () Causing W on I TRM V AK( full area) () 1 Axial urn-on Plasma spread 2 Swiching losses for Phase Conrol

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

Keywords: thermal stress; thermal fatigue; inverse analysis; heat conduction; regularization

Keywords: thermal stress; thermal fatigue; inverse analysis; heat conduction; regularization Proceedings Inverse Analysis for Esimaing Temperaure and Residual Sress Disribuions in a Pipe from Ouer Surface Temperaure Measuremen and Is Regularizaion Shiro Kubo * and Shoki Taguwa Deparmen of Mechanical

More information

SPH3U: Projectiles. Recorder: Manager: Speaker:

SPH3U: Projectiles. Recorder: Manager: Speaker: SPH3U: Projeciles Now i s ime o use our new skills o analyze he moion of a golf ball ha was ossed hrough he air. Le s find ou wha is special abou he moion of a projecile. Recorder: Manager: Speaker: 0

More information

Ordinary Differential Equations

Ordinary Differential Equations Lecure 22 Ordinary Differenial Equaions Course Coordinaor: Dr. Suresh A. Karha, Associae Professor, Deparmen of Civil Engineering, IIT Guwahai. In naure, mos of he phenomena ha can be mahemaically described

More information

Accurate RMS Calculations for Periodic Signals by. Trapezoidal Rule with the Least Data Amount

Accurate RMS Calculations for Periodic Signals by. Trapezoidal Rule with the Least Data Amount Adv. Sudies Theor. Phys., Vol. 7, 3, no., 3-33 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/.988/asp.3.3999 Accurae RS Calculaions for Periodic Signals by Trapezoidal Rule wih he Leas Daa Amoun Sompop Poomjan,

More information

CENTRALIZED VERSUS DECENTRALIZED PRODUCTION PLANNING IN SUPPLY CHAINS

CENTRALIZED VERSUS DECENTRALIZED PRODUCTION PLANNING IN SUPPLY CHAINS CENRALIZED VERSUS DECENRALIZED PRODUCION PLANNING IN SUPPLY CHAINS Georges SAHARIDIS* a, Yves DALLERY* a, Fikri KARAESMEN* b * a Ecole Cenrale Paris Deparmen of Indusial Engineering (LGI), +3343388, saharidis,dallery@lgi.ecp.fr

More information

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec

More information

STRUCTURAL CHANGE IN TIME SERIES OF THE EXCHANGE RATES BETWEEN YEN-DOLLAR AND YEN-EURO IN

STRUCTURAL CHANGE IN TIME SERIES OF THE EXCHANGE RATES BETWEEN YEN-DOLLAR AND YEN-EURO IN Inernaional Journal of Applied Economerics and Quaniaive Sudies. Vol.1-3(004) STRUCTURAL CHANGE IN TIME SERIES OF THE EXCHANGE RATES BETWEEN YEN-DOLLAR AND YEN-EURO IN 001-004 OBARA, Takashi * Absrac The

More information

Dynamic Effects of Feedback Control!

Dynamic Effects of Feedback Control! Dynamic Effecs of Feedback Conrol! Rober Sengel! Roboics and Inelligen Sysems MAE 345, Princeon Universiy, 2017 Inner, Middle, and Ouer Feedback Conrol Loops Sep Response of Linear, Time- Invarian (LTI)

More information

Probabilistic Models for Reliability Analysis of a System with Three Consecutive Stages of Deterioration

Probabilistic Models for Reliability Analysis of a System with Three Consecutive Stages of Deterioration Yusuf I., Gaawa R.I. Volume, December 206 Probabilisic Models for Reliabiliy Analysis of a Sysem wih Three Consecuive Sages of Deerioraion Ibrahim Yusuf Deparmen of Mahemaical Sciences, Bayero Universiy,

More information

Time series Decomposition method

Time series Decomposition method Time series Decomposiion mehod A ime series is described using a mulifacor model such as = f (rend, cyclical, seasonal, error) = f (T, C, S, e) Long- Iner-mediaed Seasonal Irregular erm erm effec, effec,

More information

Mean-square Stability Control for Networked Systems with Stochastic Time Delay

Mean-square Stability Control for Networked Systems with Stochastic Time Delay JOURNAL OF SIMULAION VOL. 5 NO. May 7 Mean-square Sabiliy Conrol for Newored Sysems wih Sochasic ime Delay YAO Hejun YUAN Fushun School of Mahemaics and Saisics Anyang Normal Universiy Anyang Henan. 455

More information

) were both constant and we brought them from under the integral.

) were both constant and we brought them from under the integral. YIELD-PER-RECRUIT (coninued The yield-per-recrui model applies o a cohor, bu we saw in he Age Disribuions lecure ha he properies of a cohor do no apply in general o a collecion of cohors, which is wha

More information

Turbulence in Fluids. Plumes and Thermals. Benoit Cushman-Roisin Thayer School of Engineering Dartmouth College

Turbulence in Fluids. Plumes and Thermals. Benoit Cushman-Roisin Thayer School of Engineering Dartmouth College Turbulence in Fluids Plumes and Thermals enoi Cushman-Roisin Thayer School of Engineering Darmouh College Why do hese srucures behave he way hey do? How much mixing do hey accomplish? 1 Plumes Plumes are

More information

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015 Explaining Toal Facor Produciviy Ulrich Kohli Universiy of Geneva December 2015 Needed: A Theory of Toal Facor Produciviy Edward C. Presco (1998) 2 1. Inroducion Toal Facor Produciviy (TFP) has become

More information

Innova Junior College H2 Mathematics JC2 Preliminary Examinations Paper 2 Solutions 0 (*)

Innova Junior College H2 Mathematics JC2 Preliminary Examinations Paper 2 Solutions 0 (*) Soluion 3 x 4x3 x 3 x 0 4x3 x 4x3 x 4x3 x 4x3 x x 3x 3 4x3 x Innova Junior College H Mahemaics JC Preliminary Examinaions Paper Soluions 3x 3 4x 3x 0 4x 3 4x 3 0 (*) 0 0 + + + - 3 3 4 3 3 3 3 Hence x or

More information

Damped mechanical oscillator: Experiment and detailed energy analysis

Damped mechanical oscillator: Experiment and detailed energy analysis 1 Damped mechanical oscillaor: Experimen and deailed energy analysis Tommaso Corridoni, DFA, Locarno, Swizerland Michele D Anna, Liceo canonale, Locarno, Swizerland Hans Fuchs, Zurich Universiy of Applied

More information

Stability and Bifurcation in a Neural Network Model with Two Delays

Stability and Bifurcation in a Neural Network Model with Two Delays Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy

More information

CHE302 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang

CHE302 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang CHE302 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS Professor Dae Ryook Yang Fall 200 Dep. of Chemical and Biological Engineering Korea Universiy CHE302 Process Dynamics and Conrol Korea Universiy

More information

CHAPTER 12 DIRECT CURRENT CIRCUITS

CHAPTER 12 DIRECT CURRENT CIRCUITS CHAPTER 12 DIRECT CURRENT CIUITS DIRECT CURRENT CIUITS 257 12.1 RESISTORS IN SERIES AND IN PARALLEL When wo resisors are conneced ogeher as shown in Figure 12.1 we said ha hey are conneced in series. As

More information

STUDY ON THE AIR MOVEMENT CHARACTER IN SOLAR WALL SYSTEM. Y Li, X Duanmu, Y Sun, J Li and H Jia

STUDY ON THE AIR MOVEMENT CHARACTER IN SOLAR WALL SYSTEM. Y Li, X Duanmu, Y Sun, J Li and H Jia Proceedings: Building Simulaion 007 SUDY ON HE AIR MOVEMEN CHARACER IN SOLAR WALL SYSEM Y Li, X Duanmu, Y Sun, J Li and H Jia College of Archiecure and Civil Engineering, Beijing Universiy of echnology,

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

ON THE BEAT PHENOMENON IN COUPLED SYSTEMS

ON THE BEAT PHENOMENON IN COUPLED SYSTEMS 8 h ASCE Specialy Conference on Probabilisic Mechanics and Srucural Reliabiliy PMC-38 ON THE BEAT PHENOMENON IN COUPLED SYSTEMS S. K. Yalla, Suden Member ASCE and A. Kareem, M. ASCE NaHaz Modeling Laboraory,

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

14 Autoregressive Moving Average Models

14 Autoregressive Moving Average Models 14 Auoregressive Moving Average Models In his chaper an imporan parameric family of saionary ime series is inroduced, he family of he auoregressive moving average, or ARMA, processes. For a large class

More information

LAB 5: Computer Simulation of RLC Circuit Response using PSpice

LAB 5: Computer Simulation of RLC Circuit Response using PSpice --3LabManualLab5.doc LAB 5: ompuer imulaion of RL ircui Response using Ppice PURPOE To use a compuer simulaion program (Ppice) o invesigae he response of an RL series circui o: (a) a sinusoidal exciaion.

More information