... percent use a fluid coking ** process ** Delayed coking has no significant ** air ** ** emissions ** but fluid coking produces ** air ** ** emissions ** consisting of coke fines Figure is a flow diagram of a ** refinery ** delayed coking ... Major oil ** refinery ** carbon monoxide emission sources are catalytic crackers, steam boilers, ** process ** furnaces and ** process ** heaters Major sulfur dioxide ** air ** emission sources in an oil ** refinery ** are ... or thermal cracking units, steam boilers, ** process ** furnaces, ** process ** heaters and compressor engines Major sources of hydrocarbon ** air ** ** emissions ** in an oil ** refinery ** are catalytic or thermal cracking...

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... board ** the ** boat, a fillet from a coral reef fin fish only if— (a) (b) ** the ** fillets from ** the ** fish are packaged together; ** and ** (c) ‘136 all ** the ** skin of ** the ** fillet is attached ** to ** ** the ** fillet; ** and ** ** the ** ... only if— (a) ** the ** fish is a species other than chinese footballer (blue spot trout) ** and** (i) ** the ** length of ** the ** fillet is at least 40cm; ** and ** (ii) all ** the ** skin of ** the ** fillet is attached ** to ** ** the ** fillet; ... each of ** the ** following— (a) ** the ** current fisher PIN for ** the ** line units ** to ** which ** the ** retained fish notice relates; (b) ** the ** numerical part of ** the ** licence number of ** the ** RQ licence that relates ** to ** the...

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... MR Controlled variables Manipulated variables Uncontrolled variables i i FIGURE 1.6 10 ** PROCESS ** ** MODELING,** Disturbance ** SIMULATION,** ** AND ** ** CONTROL ** ** FOR ** ** CHEMICAL ** ** ENGINEERS ** c Manipulated variable Controlled ... Congress Cataloging-in-Publlcatlon William L Luyben ** ****.-2** nd ** ed ** p cm Bibliography: p Includes index ISBN ** ****6-6** ** ****7-6** 3915 ** ****9-9** ** Chemical ** ** process-** Math data processing., Chemica TP155.7.L66 9 , 669.2’61-dc19 When ordering ... Sydney Tokyo Toronto ** PROCESS ** ** MODELING,** ** SIMULATION,** ** AND ** ** CONTROL ** ** FOR ** ** CHEMICAL ** ** ENGINEERS ** INTERNATIONAL EDITION 1996 Exclusive rights by McGraw-Hill Book Co ** ****.- ** Singapore ** for ** manufacture ** and ** export This...

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... http://www.itl.nist.gov/div898/handbook/pmd/section1/pmd1.htm [5/1/2006 10:21:49 AM] 4.1.1 What is ** process ** ** modeling?** ** Process ** ** Modeling ** 4.1 Introduction ** to ** ** Process ** ** Modeling ** 4.1.1 What is ** process ** ** modeling?** Basic Definition ** Process ** ... ** and ** ** the ** remaining "unexplained" random variation ** in ** ** the ** data (note ** the ** different vertical scales of these plots) ** The ** plots ** in ** ** the ** middle row of ** the ** figure show ** the ** deterministic structure ** in ** ** the ** ... Underlying Assumptions for ** Process ** ** Modeling ** [4.2.] What are ** the ** typical underlying assumptions ** in ** ** process ** ** modeling?** [4.2.1.] ** The ** ** process ** is a statistical ** process ** [4.2.1.1.] ** The ** means of ** the ** random...

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... that need ** to ** be integrated ** to ** find an effective model will be contradictory An open mind ** and ** a willingness ** to ** think about what ** the ** data are saying is important Maintaining balance ** and ** looking for ... ** process ** knowledge ** and ** assumptions about ** the ** ** process ** are used ** to ** determine ** the ** form of ** the ** model ** to ** be fit ** to ** ** the ** data Then, using ** the ** selected model ** and ** possibly information about ** the ** data, an appropriate ... squares ** and ** ** the ** dashed being ** the ** true line obtained from ** the ** inputs ** to ** ** the ** simulation, are almost identical over ** the ** range of ** the ** data Because ** the ** least squares line approximates ** the ** true line so...

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... error ** in ** ** the ** data, there is also random error ** in ** ** the ** estimated regression parameters, ** and ** ** in ** ** the ** values predicted using ** the ** model ** To ** use ** the ** model correctly, therefore, ** the ** uncertainty ** in ** ** the ** prediction ... of ** the ** data ** to ** make ** the ** random errors approximately normal is usually ** the ** best way ** to ** try ** to ** bring ** the ** data ** in ** line with this assumption ** The ** main alternative ** to ** transformation is ** to ** use a fitting ... pressure ** in ** ** the ** tank is versus lying ** in ** ** the ** range likely ** to ** lie somewhere ** in ** ** the ** range Confidence Intervals ** In ** order ** to ** provide ** the ** necessary information with which ** to ** make engineering or scientific...

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... optimize my ** process ** using ** the ** ** process ** model? ** Process ** ** Modeling ** 4.5 Use ** and ** Interpretation of ** Process ** Models 4.5.3 How can I optimize my ** process ** using ** the ** ** process ** model? Detailed Information on ** Process ** ... Studies ** in ** ** Process ** ** Modeling ** ** Process ** ** Modeling ** 4.6 Case Studies ** in ** ** Process ** ** Modeling ** Detailed, Realistic Examples Contents: Section ** The ** general points of ** the ** first five sections are illustrated ** in ** this ... describing ** the ** systematic variation ** in ** ** the ** data means that there is little point ** in ** looking at most of ** the ** numerical results from ** the ** fit However, since there are replicate measurements ** in ** ** the ** data,...

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... ** the ** Output window, ** the ** Graphics window, ** the ** Command History window ** and ** ** the ** Data Sheet window Across ** the ** top of ** the ** main windows there are menus for executing Dataplot commands Across ** the ** bottom ... shows ** the ** residual standard deviation versus batch ** The ** slopes all lie within a range of 0.6 ** to ** 0.9 ** in ** ** the ** linear slope plot (lower left) ** and ** ** the ** intercepts all lie between ** and ** ** in ** ** the ** linear intercept ... AM] 4.6.2.3 Initial Linear Fit ** Process ** ** Modeling ** 4.6 Case Studies ** in ** ** Process ** ** Modeling ** 4.6.2 Alaska Pipeline 4.6.2.3 Initial Linear Fit Linear Fit Output Based on ** the ** initial plot of ** the ** data, we...

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... ** the ** Output window, ** the ** Graphics window, ** the ** Command History window ** and ** ** the ** Data Sheet window Across ** the ** top of ** the ** main windows there are menus for executing Dataplot commands Across ** the ** bottom ... Compare ** the ** Fits ** Process ** ** Modeling ** 4.6 Case Studies ** in ** ** Process ** ** Modeling ** 4.6.2 Alaska Pipeline 4.6.2.6 Compare ** the ** Fits Three Fits ** to ** Compare It is interesting ** to ** compare ** the ** results of ** the ** three ... get ** in ** ** the ** right neighborhood, not ** to ** find ** the ** optimal fit We would pick ** the ** grid point that corresponds ** to ** ** the ** smallest residual standard deviation as ** the ** starting values Fitting Data ** to ** a Theoretical...

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... displayed ** in ** one or more of ** the ** Dataplot windows ** The ** four main windows are ** the ** Output window, ** the ** Graphics window, ** the ** Command History window ** and ** ** the ** Data Sheet window Across ** the ** top of ** the ** main windows ... are ** the ** degrees of ** the ** numerator ** and ** denominator, respectively, ** and ** ** the ** ** and ** contain ** the ** subset of points, not ** the ** full data set ** The ** estimated coefficients from this linear fit are used as ** the ** ... for ** the ** degree of ** the ** numerator ** and ** ** the ** degree on ** the ** denominator? Unconstrained rational function fitting can, at times, result ** in ** undesired nusiance asymptotes (vertically) due ** to ** roots ** in ** the...

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... more of ** the ** Dataplot windows ** The ** four main windows are ** the ** Output window, ** the ** Graphics window, ** the ** Command History window ** and ** ** the ** Data Sheet window Across ** the ** top of ** the ** main windows there are ... Chapter 4: ** Process ** ** Modeling ** ** Process ** ** Modeling ** 4.7 References For Chapter 4: ** Process ** ** Modeling ** Handbook of Mathematical Functions with Formulas, Graphs ** and ** Mathematical Tables (1964) Abramowitz M ** and ** Stegun ... menus for executing Dataplot commands Across ** the ** bottom is a command entry window where commands can be typed ** in ** Data Analysis Steps Click on ** the ** links below ** to ** start Dataplot ** and ** run this case...

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... of m ** and ** n ** In ** summary, we can determine ** the ** admissible combinations of n ** and ** m ** by ** using ** the ** following four tables ** to ** generate an n versus m graph Choose ** the ** simplest (n,m) combination for ** the ** ... ** to ** which I wish ** to ** fit a rational function ** to ** What degrees n ** and ** m should I use for ** the ** numerator ** and ** denominator, respectively? Four Questions ** To ** answer ** the ** above broad question, ** the ** following ... (i.e., f '(x) = 0) for finite x? These questions are answered ** by ** ** the ** analyst ** by ** inspection of ** the ** data ** and ** ** by ** theoretical considerations of ** the ** phenomenon under study Each of these questions is addressed...

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... in details Page What’s in ** business ** ** process ** ** modeling?** ** Business ** models are excellent communication devices ** Business ** professionals can model alternatives before committing ** Business ** models are key ... Agenda What’s in ** modeling ** ? Situation today Objectives of ** Process ** Management ** ARIS ** Framework and methods ** ARIS ** suite of products Live demo Page Example of models ... architectures Closing the communication gap between IT and ** business ** Page ** Business ** ** Process ** model address important issues How Does It All Fit Together? Models ** Process ** Interrelationships Will It Work? Simulates...

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... 14 ea M ** ARIS ** PPM Methodology & tools A ** modeling ** tool is more than a drawing tool ** Aris ** is a framework for describing company structures, processes and ** business ** application systems ** Aris ** is ** process ** ... (e **)Business ** ** Process ** Engineering (e **)Business ** ** Process ** Controlling ** Process ** Performance Manager t en tio n a ** ARIS ** for mySAP.com su rem ent Im plem ** ARIS ** Collaborative Suite (e **)Business ** ** Process ** Execution ... Management E **-Business ** Engineering Workflow BPR Effect Change Processes with reference ** to ** ** Business ** Processes ** Business ** Reality Page 13 The vision for continuous improvements Op timi zation ** ARIS ** (e)Business...

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