The evaluation method of HVAC system s operation performance based on exergy flow analysis and DEA method

Size: px
Start display at page:

Download "The evaluation method of HVAC system s operation performance based on exergy flow analysis and DEA method"

Transcription

1 The evaluaton method of HVAC system s operaton performance based on exergy flow analyss and DEA method Xng Fang, Xnqao Jn, Yonghua Zhu, Bo Fan Shangha Jao Tong Unversty, Chna

2 Overvew 1. Introducton 2. Descrpton of HVAC system 3. Evaluaton method 4. Ideal operaton level of HVAC system 5. Evaluaton of control strateges for HVAC

3 Introducton In evaluaton of operaton performance of HVAC system, ncreasng attenton s beng gven to thermodynamc analyss of HVAC systems. frst law of thermodynamcs energy cost, COP... Consders conservaton of energy second law of thermodynamcs exergy destructon, exergy effcency... Consders energy s qualty as well as quantty

4 The am of ths study s to establsh the benchmark of HVAC system based on exergy analyss, and propose the evaluaton method of operaton performance of system. HVAC model Exergy flow analyss exergy flow model Ideal operaton level optmzaton technques & DEA method Evaluaton ndex control perfect ndex (CPI) Evaluaton results control strateges

5 Descrpton of HVAC system An arport termnal s HVAC system s chosen as the studyng object, whch s located n Hakou, Chna. The smulaton model of HVAC system s buld n TRNSYS.

6 Confguraton of HVAC system: Buldng locaton Hakou, Chna Gross floor area 99,300m 2 Ar-condtoned area 67,950m 2 Number of floor 4 Operatng schedule 7:00 to 22:00 Coolng system Pump system Chllers Water-cooled The prmary pump, the secondary pump 4 unts rated capacty: T1,T2,T3:2461kW, Y4:4640kW nput power: T1,T2,T3:470kW, Y4:836kW Ar handlng system Desgn ndoor dry bulb temperature and relatve humdty Desgn outdoor dry bulb temperature and relatve humdty (summer) Desgn outdoor dry bulb temperature and relatve humdty (wnter) 40 AHUs, 202 FCUs 25, 55% 34.5, 60% 10, 85%

7 Evaluaton method 3.1 Exergy analyss D F P F Component D P The exergy effcency, exergy destructon rato and exergy cost dstrbuton rato are calculated as: P 1 100% 100% F k E, E ds, n P 1 k P * p, k * p, 100% F P d n n F 1 1 P 100% F : fuel flow of the th component; P : product flow of the th component;

8 3.2 Control perfect ndex (CPI ) CPI s used to measure the gap between actual operaton performance and deal operaton performance. CPI sys, j 1/ 1/ D D c sys, 0 sys, CPI sys,j : the CPI of HVAC system under j th operaton condton; D c sys,j D 0 sys,j : actual exergy destructon of HVAC system under j th operaton condton; : deal exergy destructon of HVAC system (the lowest exergy loss) under j th operaton condton.

9 3.3 DEA method In ths paper, we use DEA method to obtan the benchmark of HVAC system s operaton performance, the deal operaton performance. DEA s a non-parametrc technque used to measure the relatve effcency of decson makng unts (DMU) wth the same general objectves. DMU actual operaton performance v.s. optmal operaton performance under j th operaton condton.

10 Ideal operaton level of HVAC system based on DEA 4.1 Global optmzaton of HVAC for lowest exergy destructon The exergy flow model of the HVAC system: Component I : coolng towers and coolng water pumps; Component II~V : four chllers and chlled water pumps; Component VI : AHUs and secondary pumps.

11 Exergy balance equatons of the HVAC system: Y W E E W E E W E E ' " ' " ' tot I ct I II V II V II V VI VI VI E E E ' '' I II V E ' " II V VI Y W E W W E ' tot I ct II V VI VI Y tot : total exergy destructon of HVAC system; W : nput power of component ; E : outflow exergy of component ; E : nflow exergy of components

12 The objectve of global optmzaton T ct : outlet water temperature set-pont of the coolng tower; T ctwd_mn : mnmum temperature dfference between T chw_out and T chw_out ; Reset set-ponts and optmze PLR of HVAC system under constrants T chw_out : outlet chlled water temperature setpont of the chller; T sa : supply ar temperature set-pont of AHU; PLR : part load rato of chller PSO algorthm : total coolng load of chllers; Q ch_sum MnY f ( T, PLR, T, T ) tot ctw_ out _ set chw_ out _ set _ sa _ set T T T chw_ outmn chw_ out chw_ outmax T T T ctw_ outmn ctw_ out ctw_ outmax T T T ctw_ out mn wb _ out ctwd _mn f T T T ctw_ out mn wb _ out ctwd _ mn T T T sa mn sa sa max PLR mn PLR 1 Q ch_des, chller; : rated refrgeratng capacty of the th Obtan the lowest exergy destructon of the HVAC system under certan operaton condtons N Q PLRQ ch_ sum ch _ des, 1

13 4.2 Ideal operaton level of HVAC system The lowest exergy destructon of the HVAC system under dfferent operaton condtons DEA method The lowest exergy destructon of the HVAC system under all operaton condtons Ideal operaton level CPI sys, 1/ 1/ D D c sys, 0 sys, CPI can evaluate HVAC system s operaton performance under any operaton condton.

14 Evaluaton of control strateges for HVAC

15 5.1 Optmal control strateges for HVAC system Orgnal control strategy: (1) fxed set-ponts: T ct =30, T chw_out =7, T sa =14 (2) turns on chllers n a fxed sequence accordng to total coolng load. Optmal control strateges: (1) optmal supply chlled water temperature reset strategy (CHW strategy) MnJ functon( T ) chw, set chw, set 7 T 12 The objectve functon s used to obtan the mnmum total power consumpton of HVAC system.

16 (2) optmal load allocaton control strategy (Load Allocaton Strategy) The problem of Load Allocaton Strategy for HVAC s a nonlnear programmng problem wth hybrd constrants. Mnmze N CAP PLR P COP 1 X N CAPPLRX 1 1 Q CAPPLRX 0 1 Q PLRmn PLR 1 0 PLR X 1 CAP : refrgeratng capacty of the th chller; X : the on/off state of the th chller, 0 means off and 1 means on; PLR : PLR of the th chller; PLR mn =0.25; CL : the total coolng load of systems.

17 5.2 Results and dscusson Fgure shows the deal operaton level and three fronter lnes of HVAC system under Orgnal strategy, CHW strategy and Load Allocaton Strategy based on annual operatng data. the fronter lne of Load Allocaton Strategy s the hghest; the fronter lne of Orgnal strategy s the lowest ; the fronter lne of CHW strategy s n the mddle.

18 Accordng to the deal operaton level and three fronter lnes of HVAC system, the average value of CPI of each control strategy can be calculated. n stra, stra, CPIave CPI j / n j1 comparng to Orgnal Strategy, CHW Strategy mproves the CPI of the total system from 0.77 to 0.78; Load Allocaton Strategy mproves the CPI of HVAC system from 0.77 to Load Allocaton Strategy > CHW Strategy > Orgnal Strategy

19 Conclusons a) Exergy analyss s appled n the smulaton model of HVAC system; b) Defne the evaluaton ndex of CPI to measure the gap between actual operaton performance and deal operaton performance; c) Global optmzaton s used to obtan the lowest exergy destructon of HVAC under dfferent operaton condtons, DEA method then helps to ascertan the deal operaton level; d) Apply optmal control strateges (CHW strategy and Load Allocaton Strategy) n HVAC system, the average value of CPI of each strategy wll gve reasonable assessments: Load Allocaton Strategy s better than CHW strategy and Orgnal strategy.

20 Thank you!

Quiz on Deterministic part of course October 22, 2002

Quiz on Deterministic part of course October 22, 2002 Engneerng ystems Analyss for Desgn Quz on Determnstc part of course October 22, 2002 Ths s a closed book exercse. You may use calculators Grade Tables There are 90 ponts possble for the regular test, or

More information

Solution of periodic review inventory model with general constrains

Solution of periodic review inventory model with general constrains Soluton of perodc revew nventory model wth general constrans Soluton of perodc revew nventory model wth general constrans Prof Dr J Benkő SZIU Gödöllő Summary Reasons for presence of nventory (stock of

More information

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost Tamkang Journal of Scence and Engneerng, Vol. 9, No 1, pp. 19 23 (2006) 19 Economc Desgn of Short-Run CSP-1 Plan Under Lnear Inspecton Cost Chung-Ho Chen 1 * and Chao-Yu Chou 2 1 Department of Industral

More information

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes Chapter 0 Makng Choces: The Method, MARR, and Multple Attrbutes INEN 303 Sergy Butenko Industral & Systems Engneerng Texas A&M Unversty Comparng Mutually Exclusve Alternatves by Dfferent Evaluaton Methods

More information

Applications of Myerson s Lemma

Applications of Myerson s Lemma Applcatons of Myerson s Lemma Professor Greenwald 28-2-7 We apply Myerson s lemma to solve the sngle-good aucton, and the generalzaton n whch there are k dentcal copes of the good. Our objectve s welfare

More information

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019 5-45/65: Desgn & Analyss of Algorthms January, 09 Lecture #3: Amortzed Analyss last changed: January 8, 09 Introducton In ths lecture we dscuss a useful form of analyss, called amortzed analyss, for problems

More information

- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households

- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households Prvate Provson - contrast so-called frst-best outcome of Lndahl equlbrum wth case of prvate provson through voluntary contrbutons of households - need to make an assumpton about how each household expects

More information

Creating a zero coupon curve by bootstrapping with cubic splines.

Creating a zero coupon curve by bootstrapping with cubic splines. MMA 708 Analytcal Fnance II Creatng a zero coupon curve by bootstrappng wth cubc splnes. erg Gryshkevych Professor: Jan R. M. Röman 0.2.200 Dvson of Appled Mathematcs chool of Educaton, Culture and Communcaton

More information

AC : THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS

AC : THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS AC 2008-1635: THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS Kun-jung Hsu, Leader Unversty Amercan Socety for Engneerng Educaton, 2008 Page 13.1217.1 Ttle of the Paper: The Dagrammatc

More information

COMPARISON OF THE ANALYTICAL AND NUMERICAL SOLUTION OF A ONE-DIMENSIONAL NON-STATIONARY COOLING PROBLEM. László Könözsy 1, Mátyás Benke 2

COMPARISON OF THE ANALYTICAL AND NUMERICAL SOLUTION OF A ONE-DIMENSIONAL NON-STATIONARY COOLING PROBLEM. László Könözsy 1, Mátyás Benke 2 COMPARISON OF THE ANALYTICAL AND NUMERICAL SOLUTION OF A ONE-DIMENSIONAL NON-STATIONARY COOLING PROBLEM László Könözsy 1, Mátyás Benke Ph.D. Student 1, Unversty Student Unversty of Mskolc, Department of

More information

ISyE 2030 Summer Semester 2004 June 30, 2004

ISyE 2030 Summer Semester 2004 June 30, 2004 ISyE 030 Summer Semester 004 June 30, 004 1. Every day I must feed my 130 pound dog some combnaton of dry dog food and canned dog food. The cost for the dry dog food s $0.50 per cup, and the cost of a

More information

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9 Elton, Gruber, Brown, and Goetzmann Modern Portfolo Theory and Investment Analyss, 7th Edton Solutons to Text Problems: Chapter 9 Chapter 9: Problem In the table below, gven that the rskless rate equals

More information

Flight Delays, Capacity Investment and Welfare under Air Transport Supply-demand Equilibrium

Flight Delays, Capacity Investment and Welfare under Air Transport Supply-demand Equilibrium Flght Delays, Capacty Investment and Welfare under Ar Transport Supply-demand Equlbrum Bo Zou 1, Mark Hansen 2 1 Unversty of Illnos at Chcago 2 Unversty of Calforna at Berkeley 2 Total economc mpact of

More information

New Distance Measures on Dual Hesitant Fuzzy Sets and Their Application in Pattern Recognition

New Distance Measures on Dual Hesitant Fuzzy Sets and Their Application in Pattern Recognition Journal of Artfcal Intellgence Practce (206) : 8-3 Clausus Scentfc Press, Canada New Dstance Measures on Dual Hestant Fuzzy Sets and Ther Applcaton n Pattern Recognton L Xn a, Zhang Xaohong* b College

More information

Cyclic Scheduling in a Job shop with Multiple Assembly Firms

Cyclic Scheduling in a Job shop with Multiple Assembly Firms Proceedngs of the 0 Internatonal Conference on Industral Engneerng and Operatons Management Kuala Lumpur, Malaysa, January 4, 0 Cyclc Schedulng n a Job shop wth Multple Assembly Frms Tetsuya Kana and Koch

More information

Elements of Economic Analysis II Lecture VI: Industry Supply

Elements of Economic Analysis II Lecture VI: Industry Supply Elements of Economc Analyss II Lecture VI: Industry Supply Ka Hao Yang 10/12/2017 In the prevous lecture, we analyzed the frm s supply decson usng a set of smple graphcal analyses. In fact, the dscusson

More information

Stochastic optimal day-ahead bid with physical future contracts

Stochastic optimal day-ahead bid with physical future contracts Introducton Stochastc optmal day-ahead bd wth physcal future contracts C. Corchero, F.J. Hereda Departament d Estadístca Investgacó Operatva Unverstat Poltècnca de Catalunya Ths work was supported by the

More information

Least Cost Strategies for Complying with New NOx Emissions Limits

Least Cost Strategies for Complying with New NOx Emissions Limits Least Cost Strateges for Complyng wth New NOx Emssons Lmts Internatonal Assocaton for Energy Economcs New England Chapter Presented by Assef A. Zoban Tabors Caramans & Assocates Cambrdge, MA 02138 January

More information

2. Equlibrium and Efficiency

2. Equlibrium and Efficiency . Equlbrum and Effcency . Introducton competton and effcency Smt s nvsble and model of compettve economy combne ndependent decson-makng of consumers and frms nto a complete model of te economy exstence

More information

Stochastic job-shop scheduling: A hybrid approach combining pseudo particle swarm optimization and the Monte Carlo method

Stochastic job-shop scheduling: A hybrid approach combining pseudo particle swarm optimization and the Monte Carlo method 123456789 Bulletn of the JSME Journal of Advanced Mechancal Desgn, Systems, and Manufacturng Vol.10, No.3, 2016 Stochastc job-shop schedulng: A hybrd approach combnng pseudo partcle swarm optmzaton and

More information

COS 511: Theoretical Machine Learning. Lecturer: Rob Schapire Lecture #21 Scribe: Lawrence Diao April 23, 2013

COS 511: Theoretical Machine Learning. Lecturer: Rob Schapire Lecture #21 Scribe: Lawrence Diao April 23, 2013 COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture #21 Scrbe: Lawrence Dao Aprl 23, 2013 1 On-Lne Log Loss To recap the end of the last lecture, we have the followng on-lne problem wth N

More information

Financial Risk Management in Portfolio Optimization with Lower Partial Moment

Financial Risk Management in Portfolio Optimization with Lower Partial Moment Amercan Journal of Busness and Socety Vol., o., 26, pp. 2-2 http://www.ascence.org/journal/ajbs Fnancal Rsk Management n Portfolo Optmzaton wth Lower Partal Moment Lam Weng Sew, 2, *, Lam Weng Hoe, 2 Department

More information

Chapter 3 Student Lecture Notes 3-1

Chapter 3 Student Lecture Notes 3-1 Chapter 3 Student Lecture otes 3-1 Busness Statstcs: A Decson-Makng Approach 6 th Edton Chapter 3 Descrbng Data Usng umercal Measures 005 Prentce-Hall, Inc. Chap 3-1 Chapter Goals After completng ths chapter,

More information

Heuristic optimization of complex constrained portfolio sets with short sales

Heuristic optimization of complex constrained portfolio sets with short sales Heurstc optmzaton of complex constraned portfolo sets wth short sales G A Vjayalakshm Pa Dept of Math. & Computer Applns. PSG College of Technology Combatore, INDIA pagav@mca.psgtech.ac.n Therry Mchel

More information

Available online at ScienceDirect. Procedia Computer Science 24 (2013 ) 9 14

Available online at   ScienceDirect. Procedia Computer Science 24 (2013 ) 9 14 Avalable onlne at www.scencedrect.com ScenceDrect Proceda Computer Scence 24 (2013 ) 9 14 17th Asa Pacfc Symposum on Intellgent and Evolutonary Systems, IES2013 A Proposal of Real-Tme Schedulng Algorthm

More information

Developing a quadratic programming model for time-cost trading off in construction projects under probabilistic constraint

Developing a quadratic programming model for time-cost trading off in construction projects under probabilistic constraint Proceedngs of the Internatonal Conference on Industral Engneerng and Operatons Management Rabat, Morocco, Aprl 11-13, 2017 Developng a quadratc programmng model for tme-cost tradng off n constructon projects

More information

Welfare Aspects in the Realignment of Commercial Framework. between Japan and China

Welfare Aspects in the Realignment of Commercial Framework. between Japan and China Prepared for the 13 th INFORUM World Conference n Huangshan, Chna, July 3 9, 2005 Welfare Aspects n the Realgnment of Commercal Framework between Japan and Chna Toshak Hasegawa Chuo Unversty, Japan Introducton

More information

Capacitated Location-Allocation Problem in a Competitive Environment

Capacitated Location-Allocation Problem in a Competitive Environment Capactated Locaton-Allocaton Problem n a Compettve Envronment At Bassou Azz, 2 Blal Mohamed, 3 Solh Azz, 4 El Alam Jamla,2 Unversty Mohammed V-Agdal, Laboratory of Systems Analyss, Informaton Processng

More information

Privatization and government preference in an international Cournot triopoly

Privatization and government preference in an international Cournot triopoly Fernanda A Ferrera Flávo Ferrera Prvatzaton and government preference n an nternatonal Cournot tropoly FERNANDA A FERREIRA and FLÁVIO FERREIRA Appled Management Research Unt (UNIAG School of Hosptalty

More information

Appendix - Normally Distributed Admissible Choices are Optimal

Appendix - Normally Distributed Admissible Choices are Optimal Appendx - Normally Dstrbuted Admssble Choces are Optmal James N. Bodurtha, Jr. McDonough School of Busness Georgetown Unversty and Q Shen Stafford Partners Aprl 994 latest revson September 00 Abstract

More information

Global Optimization in Multi-Agent Models

Global Optimization in Multi-Agent Models Global Optmzaton n Mult-Agent Models John R. Brge R.R. McCormck School of Engneerng and Appled Scence Northwestern Unversty Jont work wth Chonawee Supatgat, Enron, and Rachel Zhang, Cornell 11/19/2004

More information

Problem Set 6 Finance 1,

Problem Set 6 Finance 1, Carnege Mellon Unversty Graduate School of Industral Admnstraton Chrs Telmer Wnter 2006 Problem Set 6 Fnance, 47-720. (representatve agent constructon) Consder the followng two-perod, two-agent economy.

More information

Mechanisms for Efficient Allocation in Divisible Capacity Networks

Mechanisms for Efficient Allocation in Divisible Capacity Networks Mechansms for Effcent Allocaton n Dvsble Capacty Networks Antons Dmaks, Rahul Jan and Jean Walrand EECS Department Unversty of Calforna, Berkeley {dmaks,ran,wlr}@eecs.berkeley.edu Abstract We propose a

More information

OPERATIONS RESEARCH. Game Theory

OPERATIONS RESEARCH. Game Theory OPERATIONS RESEARCH Chapter 2 Game Theory Prof. Bbhas C. Gr Department of Mathematcs Jadavpur Unversty Kolkata, Inda Emal: bcgr.umath@gmal.com 1.0 Introducton Game theory was developed for decson makng

More information

Using Conditional Heteroskedastic

Using Conditional Heteroskedastic ITRON S FORECASTING BROWN BAG SEMINAR Usng Condtonal Heteroskedastc Varance Models n Load Research Sample Desgn Dr. J. Stuart McMenamn March 6, 2012 Please Remember» Phones are Muted: In order to help

More information

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002 TO5 Networng: Theory & undamentals nal xamnaton Professor Yanns. orls prl, Problem [ ponts]: onsder a rng networ wth nodes,,,. In ths networ, a customer that completes servce at node exts the networ wth

More information

/ Computational Genomics. Normalization

/ Computational Genomics. Normalization 0-80 /02-70 Computatonal Genomcs Normalzaton Gene Expresson Analyss Model Computatonal nformaton fuson Bologcal regulatory networks Pattern Recognton Data Analyss clusterng, classfcaton normalzaton, mss.

More information

Stochastic Investment Decision Making with Dynamic Programming

Stochastic Investment Decision Making with Dynamic Programming Proceedngs of the 2010 Internatonal Conference on Industral Engneerng and Operatons Management Dhaka, Bangladesh, January 9 10, 2010 Stochastc Investment Decson Makng wth Dynamc Programmng Md. Noor-E-Alam

More information

Scribe: Chris Berlind Date: Feb 1, 2010

Scribe: Chris Berlind Date: Feb 1, 2010 CS/CNS/EE 253: Advanced Topcs n Machne Learnng Topc: Dealng wth Partal Feedback #2 Lecturer: Danel Golovn Scrbe: Chrs Berlnd Date: Feb 1, 2010 8.1 Revew In the prevous lecture we began lookng at algorthms

More information

Equilibrium in Prediction Markets with Buyers and Sellers

Equilibrium in Prediction Markets with Buyers and Sellers Equlbrum n Predcton Markets wth Buyers and Sellers Shpra Agrawal Nmrod Megddo Benamn Armbruster Abstract Predcton markets wth buyers and sellers of contracts on multple outcomes are shown to have unque

More information

Multiobjective De Novo Linear Programming *

Multiobjective De Novo Linear Programming * Acta Unv. Palack. Olomuc., Fac. rer. nat., Mathematca 50, 2 (2011) 29 36 Multobjectve De Novo Lnear Programmng * Petr FIALA Unversty of Economcs, W. Churchll Sq. 4, Prague 3, Czech Republc e-mal: pfala@vse.cz

More information

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods)

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods) CONSUMPTION-SAVINGS FRAMEWORK (CONTINUED) SEPTEMBER 24, 2013 The Graphcs of the Consumpton-Savngs Model CONSUMER OPTIMIZATION Consumer s decson problem: maxmze lfetme utlty subject to lfetme budget constrant

More information

A Single-Product Inventory Model for Multiple Demand Classes 1

A Single-Product Inventory Model for Multiple Demand Classes 1 A Sngle-Product Inventory Model for Multple Demand Classes Hasan Arslan, 2 Stephen C. Graves, 3 and Thomas Roemer 4 March 5, 2005 Abstract We consder a sngle-product nventory system that serves multple

More information

SIMPLE FIXED-POINT ITERATION

SIMPLE FIXED-POINT ITERATION SIMPLE FIXED-POINT ITERATION The fed-pont teraton method s an open root fndng method. The method starts wth the equaton f ( The equaton s then rearranged so that one s one the left hand sde of the equaton

More information

Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13) Proceedngs of the 2nd Internatonal Conference On Systems Engneerng and Modelng (ICSEM-13) Research on the Proft Dstrbuton of Logstcs Company Strategc Allance Based on Shapley Value Huang Youfang 1, a,

More information

Understanding Annuities. Some Algebraic Terminology.

Understanding Annuities. Some Algebraic Terminology. Understandng Annutes Ma 162 Sprng 2010 Ma 162 Sprng 2010 March 22, 2010 Some Algebrac Termnology We recall some terms and calculatons from elementary algebra A fnte sequence of numbers s a functon of natural

More information

A Case Study for Optimal Dynamic Simulation Allocation in Ordinal Optimization 1

A Case Study for Optimal Dynamic Simulation Allocation in Ordinal Optimization 1 A Case Study for Optmal Dynamc Smulaton Allocaton n Ordnal Optmzaton Chun-Hung Chen, Dongha He, and Mchael Fu 4 Abstract Ordnal Optmzaton has emerged as an effcent technque for smulaton and optmzaton.

More information

THE ECONOMICS OF TAXATION

THE ECONOMICS OF TAXATION THE ECONOMICS OF TAXATION Statc Ramsey Tax School of Economcs, Xamen Unversty Fall 2015 Overvew of Optmal Taxaton Combne lessons on ncdence and effcency costs to analyze optmal desgn of commodty taxes.

More information

Chapter 6: An Economic Appraisal Technique: PBP and ARR Kim, GT IE of Chosun University

Chapter 6: An Economic Appraisal Technique: PBP and ARR Kim, GT IE of Chosun University Chapter 6: n Economc pprasal Technque: PBP and RR The Purpose of n Economc pprasal n economc apprasal s a ven to accomplsh a corporate objectve. In other words, t s commensurate wth evaluatng the corporate

More information

A DUAL EXTERIOR POINT SIMPLEX TYPE ALGORITHM FOR THE MINIMUM COST NETWORK FLOW PROBLEM

A DUAL EXTERIOR POINT SIMPLEX TYPE ALGORITHM FOR THE MINIMUM COST NETWORK FLOW PROBLEM Yugoslav Journal of Operatons Research Vol 19 (2009), Number 1, 157-170 DOI:10.2298/YUJOR0901157G A DUAL EXTERIOR POINT SIMPLEX TYPE ALGORITHM FOR THE MINIMUM COST NETWORK FLOW PROBLEM George GERANIS Konstantnos

More information

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh Antt Salonen Farzaneh Ahmadzadeh 1 Faclty Locaton Problem The study of faclty locaton problems, also known as locaton analyss, s a branch of operatons research concerned wth the optmal placement of facltes

More information

Instituto de Engenharia de Sistemas e Computadores de Coimbra Institute of Systems Engineering and Computers INESC - Coimbra

Instituto de Engenharia de Sistemas e Computadores de Coimbra Institute of Systems Engineering and Computers INESC - Coimbra Insttuto de Engenhara de Sstemas e Computadores de Combra Insttute of Systems Engneerng and Computers INESC - Combra Joana Das Can we really gnore tme n Smple Plant Locaton Problems? No. 7 2015 ISSN: 1645-2631

More information

Taxation and Externalities. - Much recent discussion of policy towards externalities, e.g., global warming debate/kyoto

Taxation and Externalities. - Much recent discussion of policy towards externalities, e.g., global warming debate/kyoto Taxaton and Externaltes - Much recent dscusson of polcy towards externaltes, e.g., global warmng debate/kyoto - Increasng share of tax revenue from envronmental taxaton 6 percent n OECD - Envronmental

More information

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME Vesna Radonć Đogatovć, Valentna Radočć Unversty of Belgrade Faculty of Transport and Traffc Engneerng Belgrade, Serba

More information

A New Uniform-based Resource Constrained Total Project Float Measure (U-RCTPF) Roni Levi. Research & Engineering, Haifa, Israel

A New Uniform-based Resource Constrained Total Project Float Measure (U-RCTPF) Roni Levi. Research & Engineering, Haifa, Israel Management Studes, August 2014, Vol. 2, No. 8, 533-540 do: 10.17265/2328-2185/2014.08.005 D DAVID PUBLISHING A New Unform-based Resource Constraned Total Project Float Measure (U-RCTPF) Ron Lev Research

More information

Preliminary communication. Received: 20 th November 2013 Accepted: 10 th December 2013 SUMMARY

Preliminary communication. Received: 20 th November 2013 Accepted: 10 th December 2013 SUMMARY Elen Twrdy, Ph. D. Mlan Batsta, Ph. D. Unversty of Ljubljana Faculty of Martme Studes and Transportaton Pot pomorščakov 4 632 Portorož Slovena Prelmnary communcaton Receved: 2 th November 213 Accepted:

More information

LOCATION TAXI RANKS IN THE URBAN AGGLOMERATION

LOCATION TAXI RANKS IN THE URBAN AGGLOMERATION LOCATION TAXI RANKS IN THE URBAN AGGLOMERATION ABSTRACT Lokace stanovšť taxslužby v městské aglomerac Ing. Mchal Turek, Ph.D. College of Logstcs, Department of Logstcs and Techncal Dscplnes e-mal: mchal.turek@vslg.cz

More information

Ch Rival Pure private goods (most retail goods) Non-Rival Impure public goods (internet service)

Ch Rival Pure private goods (most retail goods) Non-Rival Impure public goods (internet service) h 7 1 Publc Goods o Rval goods: a good s rval f ts consumpton by one person precludes ts consumpton by another o Excludable goods: a good s excludable f you can reasonably prevent a person from consumng

More information

Introduction. Chapter 7 - An Introduction to Portfolio Management

Introduction. Chapter 7 - An Introduction to Portfolio Management Introducton In the next three chapters, we wll examne dfferent aspects of captal market theory, ncludng: Brngng rsk and return nto the pcture of nvestment management Markowtz optmzaton Modelng rsk and

More information

Price and Quantity Competition Revisited. Abstract

Price and Quantity Competition Revisited. Abstract rce and uantty Competton Revsted X. Henry Wang Unversty of Mssour - Columba Abstract By enlargng the parameter space orgnally consdered by Sngh and Vves (984 to allow for a wder range of cost asymmetry,

More information

A Bootstrap Confidence Limit for Process Capability Indices

A Bootstrap Confidence Limit for Process Capability Indices A ootstrap Confdence Lmt for Process Capablty Indces YANG Janfeng School of usness, Zhengzhou Unversty, P.R.Chna, 450001 Abstract The process capablty ndces are wdely used by qualty professonals as an

More information

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS QUESTIONS 9.1. (a) In a log-log model the dependent and all explanatory varables are n the logarthmc form. (b) In the log-ln model the dependent varable

More information

Benefit-Cost Analysis

Benefit-Cost Analysis Chapter 12 Beneft-Cost Analyss Utlty Possbltes and Potental Pareto Improvement Wthout explct nstructons about how to compare one person s benefts wth the losses of another, we can not expect beneft-cost

More information

COMPARATIVE ANALYSIS AND SELECTION OF THE BEST METHOD HIGHWAY ROUTE

COMPARATIVE ANALYSIS AND SELECTION OF THE BEST METHOD HIGHWAY ROUTE Orgnal Scentfc paper UDC: 625.712.1:681.2.089 DOI: 10.7251/afts.2017.0916.045B COBISS.RS-ID 6439192 COMPARATIVE ANALYSIS AND SELECTION OF THE BEST METHOD HIGHWAY ROUTE Bašć Zahd 1, Džananovć Amr 1 1 Unversty

More information

Helsinki University of Technology Department of Engineering Physics and Mathematics Systems Analysis Laboratory

Helsinki University of Technology Department of Engineering Physics and Mathematics Systems Analysis Laboratory Helsnk Unversty of Technology Department of Engneerng Physcs and Mathematcs Systems Analyss Laboratory Mat-2.108 Independent Research Proect n Appled Mathematcs A Smulaton Study on the Computaton of Non

More information

3: Central Limit Theorem, Systematic Errors

3: Central Limit Theorem, Systematic Errors 3: Central Lmt Theorem, Systematc Errors 1 Errors 1.1 Central Lmt Theorem Ths theorem s of prme mportance when measurng physcal quanttes because usually the mperfectons n the measurements are due to several

More information

.edu /~metin Page 1. utdallas. Market Models. Outline Nodal Market Model Load Shifting Model

.edu /~metin Page 1. utdallas. Market Models. Outline Nodal Market Model Load Shifting Model Market Models /~metn Page Outlne Nodal Market Model Load Shftng Model Page Wholesale Market wth a Sngle Buyer Offerng to Buy a Fed Amount /~metn 50 $/MWh 00 50 : TN. Market Prce r=$0/mwh : Lum 3: Lum 4:

More information

AN FFICIENCY EVALUATION OF EMISSION ALLOWANCES FOR EU COUNTRIES WITH THE USE OF THE ZERO SUM GAME DATA ENVELOPMENT ANALYSIS

AN FFICIENCY EVALUATION OF EMISSION ALLOWANCES FOR EU COUNTRIES WITH THE USE OF THE ZERO SUM GAME DATA ENVELOPMENT ANALYSIS AN FFICIENCY EVALUAION OF EMISSION ALLOWANCES FOR EU COUNRIES WIH HE USE OF HE ZERO SUM GAME DAA ENVELOPMEN ANALYSIS CHYILOVÁ Luce 1, ZAPLEAL Frantše 1 1 VSB - echncal Unversty of Ostrava, Ostrava, Czech

More information

Environmental and Distributional Impacts of Conservation Targeting Strategies

Environmental and Distributional Impacts of Conservation Targeting Strategies Envronmental and Dstrbutonal Impts of Conservaton Targetng Strateges JunJe Wu, Davd Zlberman, and Bruce A. Babcock Workng Paper 99-WP230 November 1999 Envronmental and Dstrbutonal Impts of Conservaton

More information

>1 indicates country i has a comparative advantage in production of j; the greater the index, the stronger the advantage. RCA 1 ij

>1 indicates country i has a comparative advantage in production of j; the greater the index, the stronger the advantage. RCA 1 ij 69 APPENDIX 1 RCA Indces In the followng we present some maor RCA ndces reported n the lterature. For addtonal varants and other RCA ndces, Memedovc (1994) and Vollrath (1991) provde more thorough revews.

More information

An Efficient Nash-Implementation Mechanism for Divisible Resource Allocation

An Efficient Nash-Implementation Mechanism for Divisible Resource Allocation SUBMITTED TO IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 1 An Effcent Nash-Implementaton Mechansm for Dvsble Resource Allocaton Rahul Jan IBM T.J. Watson Research Center Hawthorne, NY 10532 rahul.jan@us.bm.com

More information

Blocking Effects of Mobility and Reservations in Wireless Networks

Blocking Effects of Mobility and Reservations in Wireless Networks Blockng Effects of Moblty and Reservatons n Wreless Networks C. Vargas M. V. Hegde M. Naragh-Pour Ctr. de Elec. y Telecom Dept. of Elec. Engg. Dept. of Elec. and Comp. Engg. ITESM Washngton Unversty Lousana

More information

Mutual Funds and Management Styles. Active Portfolio Management

Mutual Funds and Management Styles. Active Portfolio Management utual Funds and anagement Styles ctve Portfolo anagement ctve Portfolo anagement What s actve portfolo management? How can we measure the contrbuton of actve portfolo management? We start out wth the CP

More information

2.1 Rademacher Calculus... 3

2.1 Rademacher Calculus... 3 COS 598E: Unsupervsed Learnng Week 2 Lecturer: Elad Hazan Scrbe: Kran Vodrahall Contents 1 Introducton 1 2 Non-generatve pproach 1 2.1 Rademacher Calculus............................... 3 3 Spectral utoencoders

More information

A stochastic approach to hotel revenue optimization

A stochastic approach to hotel revenue optimization Computers & Operatons Research 32 (2005) 1059 1072 www.elsever.com/locate/dsw A stochastc approach to hotel revenue optmzaton Kn-Keung La, Wan-Lung Ng Department of Management Scences, Cty Unversty of

More information

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent.

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent. Economcs 1410 Fall 2017 Harvard Unversty Yaan Al-Karableh Secton 7 Notes 1 I. The ncome taxaton problem Defne the tax n a flexble way usng T (), where s the ncome reported by the agent. Retenton functon:

More information

Parallel Prefix addition

Parallel Prefix addition Marcelo Kryger Sudent ID 015629850 Parallel Prefx addton The parallel prefx adder presented next, performs the addton of two bnary numbers n tme of complexty O(log n) and lnear cost O(n). Lets notce the

More information

Algorithm For The Techno-Economic Optimization Applied In Projects Of Wind Parks Of Latin America.

Algorithm For The Techno-Economic Optimization Applied In Projects Of Wind Parks Of Latin America. IOSR Journal of Mechancal and Cvl Engneerng (IOSR-JMCE) e-issn: 2278-1684,p-ISSN: 2320-334X, Volume 13, Issue 4 Ver. VI (Jul. - Aug. 2016), PP 60-65 www.osrjournals.org Algorthm For The Techno-Economc

More information

SC Design Facility Location Sections 4.1, 4.2 Chapter 5 and 6

SC Design Facility Location Sections 4.1, 4.2 Chapter 5 and 6 SC Desgn Faclty Locaton Sectons 4., 4.2 Chapter 5 and 6 Outlne Frequency decomposton of actvtes A strategc framework for faclty locaton Mult-echelon networks Analytcal methods for locaton 2 Frequency Decomposton

More information

Topics on the Border of Economics and Computation November 6, Lecture 2

Topics on the Border of Economics and Computation November 6, Lecture 2 Topcs on the Border of Economcs and Computaton November 6, 2005 Lecturer: Noam Nsan Lecture 2 Scrbe: Arel Procacca 1 Introducton Last week we dscussed the bascs of zero-sum games n strategc form. We characterzed

More information

Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization

Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization Dscrete Event Dynamc Systems: Theory and Applcatons, 10, 51 70, 000. c 000 Kluwer Academc Publshers, Boston. Manufactured n The Netherlands. Smulaton Budget Allocaton for Further Enhancng the Effcency

More information

Comparison of Singular Spectrum Analysis and ARIMA

Comparison of Singular Spectrum Analysis and ARIMA Int. Statstcal Inst.: Proc. 58th World Statstcal Congress, 0, Dubln (Sesson CPS009) p.99 Comparson of Sngular Spectrum Analss and ARIMA Models Zokae, Mohammad Shahd Behesht Unverst, Department of Statstcs

More information

Time Planning and Control. Precedence Diagram

Time Planning and Control. Precedence Diagram Tme Plannng and ontrol Precedence agram Precedence agrammng S ctvty I LS T L n mportant extenson to the orgnal actvty-on-node concept appeared around 14. The sole relatonshp used n PRT/PM network s fnsh

More information

UNIVERSITY OF NOTTINGHAM

UNIVERSITY OF NOTTINGHAM UNIVERSITY OF NOTTINGHAM SCHOOL OF ECONOMICS DISCUSSION PAPER 99/28 Welfare Analyss n a Cournot Game wth a Publc Good by Indraneel Dasgupta School of Economcs, Unversty of Nottngham, Nottngham NG7 2RD,

More information

Efficient Project Portfolio as a Tool for Enterprise Risk Management

Efficient Project Portfolio as a Tool for Enterprise Risk Management Effcent Proect Portfolo as a Tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company Enterprse Rsk Management Symposum Socety of Actuares Chcago,

More information

Mixed-Integer Credit Portfolio Optimization: an application to Italian segregated funds

Mixed-Integer Credit Portfolio Optimization: an application to Italian segregated funds Mxed-Integer Credt Portfolo Optmzaton: an applcaton to Italan segregated funds L. Passalacqua Unverstà d Roma La Sapenza e-mal: Luca.Passalacqua@Unroma1.It phone: + [39] (06) 4991 9559 fax: + [39] (06)

More information

NEW APPROACH TO THEORY OF SIGMA-DELTA ANALOG-TO-DIGITAL CONVERTERS. Valeriy I. Didenko, Aleksander V. Ivanov, Aleksey V.

NEW APPROACH TO THEORY OF SIGMA-DELTA ANALOG-TO-DIGITAL CONVERTERS. Valeriy I. Didenko, Aleksander V. Ivanov, Aleksey V. NEW APPROACH TO THEORY OF IGMA-DELTA ANALOG-TO-DIGITAL CONVERTER Valery I. Ddenko, Aleksander V. Ivanov, Aleksey V. Teplovodsky Department o Inormaton and Measurng Technques Moscow Power Engneerng Insttute

More information

EDC Introduction

EDC Introduction .0 Introducton EDC3 In the last set of notes (EDC), we saw how to use penalty factors n solvng the EDC problem wth losses. In ths set of notes, we want to address two closely related ssues. What are, exactly,

More information

Supplier Selection And Evaluation. Through Activity-Based Costing Approach

Supplier Selection And Evaluation. Through Activity-Based Costing Approach Suppler Selecton nd Evaluaton Through ctvty-based Costng pproach Bran Korea Logstcs Team Industral Engneerng / Pusan Natonal Unversty uthor : Han Lee (Economc System nalyss Lab., Industral Engneerng, Pusan

More information

Optimal Service-Based Procurement with Heterogeneous Suppliers

Optimal Service-Based Procurement with Heterogeneous Suppliers Optmal Servce-Based Procurement wth Heterogeneous Supplers Ehsan Elah 1 Saf Benjaafar 2 Karen L. Donohue 3 1 College of Management, Unversty of Massachusetts, Boston, MA 02125 2 Industral & Systems Engneerng,

More information

An Efficient Mechanism for Network Bandwidth Auction

An Efficient Mechanism for Network Bandwidth Auction 1 An Effcent Mechansm for Network Bandwdth Aucton Rahul Jan IBM T.J. Watson Research Center Hawthorne, NY 10532 rahul.jan@us.bm.com Jean Walrand EECS Department, Unversty of Calforna, Berkeley wlr@eecs.berkeley.edu

More information

Lecture 7. We now use Brouwer s fixed point theorem to prove Nash s theorem.

Lecture 7. We now use Brouwer s fixed point theorem to prove Nash s theorem. Topcs on the Border of Economcs and Computaton December 11, 2005 Lecturer: Noam Nsan Lecture 7 Scrbe: Yoram Bachrach 1 Nash s Theorem We begn by provng Nash s Theorem about the exstance of a mxed strategy

More information

Теоретические основы и методология имитационного и комплексного моделирования

Теоретические основы и методология имитационного и комплексного моделирования MONTE-CARLO STATISTICAL MODELLING METHOD USING FOR INVESTIGA- TION OF ECONOMIC AND SOCIAL SYSTEMS Vladmrs Jansons, Vtaljs Jurenoks, Konstantns Ddenko (Latva). THE COMMO SCHEME OF USI G OF TRADITIO AL METHOD

More information

HYBRIDISING LOCAL SEARCH WITH BRANCH-AND-BOUND FOR CONSTRAINED PORTFOLIO SELECTION PROBLEMS

HYBRIDISING LOCAL SEARCH WITH BRANCH-AND-BOUND FOR CONSTRAINED PORTFOLIO SELECTION PROBLEMS HYBRIDISING LOCAL SEARCH WITH BRANCH-AND-BOUND FOR CONSTRAINED PORTFOLIO SELECTION PROBLEMS Fang He 1, 2 and Rong Qu 1 1 The Automated Schedulng, Optmsaton and Plannng (ASAP) Group, School of Computer

More information

A FRAMEWORK FOR PRIORITY CONTACT OF NON RESPONDENTS

A FRAMEWORK FOR PRIORITY CONTACT OF NON RESPONDENTS A FRAMEWORK FOR PRIORITY CONTACT OF NON RESPONDENTS Rchard McKenze, Australan Bureau of Statstcs. 12p36 Exchange Plaza, GPO Box K881, Perth, WA 6001. rchard.mckenze@abs.gov.au ABSTRACT Busnesses whch have

More information

Efficient Sensitivity-Based Capacitance Modeling for Systematic and Random Geometric Variations

Efficient Sensitivity-Based Capacitance Modeling for Systematic and Random Geometric Variations Effcent Senstvty-Based Capactance Modelng for Systematc and Random Geometrc Varatons 16 th Asa and South Pacfc Desgn Automaton Conference Nck van der Mejs CAS, Delft Unversty of Technology, Netherlands

More information

The first step in using market prices

The first step in using market prices Strppng Coupons wth Lnear Programmng DAVID E. ALLEN, LYN C. THOMAS, AND HARRY ZHENG DAVID E. ALLEN s professor of fnance at the School of Fnance and Busness Economcs of Edth Cowan Unversty n Western Australa,

More information

JoBS: Joint Buffer Management and Scheduling for Differentiated Services?

JoBS: Joint Buffer Management and Scheduling for Differentiated Services? JoBS: Jont Buffer Management and Schedulng for Dfferentated Servces? Jörg Lebeherr and Ncolas Chrstn Computer Scence Department, Unversty of Vrgna, Charlottesvlle, VA 2294, USA fjorg, ncolasg@cs.vrgna.edu

More information

ISyE 512 Chapter 9. CUSUM and EWMA Control Charts. Instructor: Prof. Kaibo Liu. Department of Industrial and Systems Engineering UW-Madison

ISyE 512 Chapter 9. CUSUM and EWMA Control Charts. Instructor: Prof. Kaibo Liu. Department of Industrial and Systems Engineering UW-Madison ISyE 512 hapter 9 USUM and EWMA ontrol harts Instructor: Prof. Kabo Lu Department of Industral and Systems Engneerng UW-Madson Emal: klu8@wsc.edu Offce: Room 317 (Mechancal Engneerng Buldng) ISyE 512 Instructor:

More information

ISE High Income Index Methodology

ISE High Income Index Methodology ISE Hgh Income Index Methodology Index Descrpton The ISE Hgh Income Index s desgned to track the returns and ncome of the top 30 U.S lsted Closed-End Funds. Index Calculaton The ISE Hgh Income Index s

More information