GPS-X Technical Reference

More documents

Recommendations

Info

Sedimentation and Flotation Models 252 Operational The operational menu contains three parameters that define the removal of solids via backwash. The solids capture fraction defines the fraction of particulate state variables (on a concentration basis) that is removed from the effluent stream. The parameters backwash duration during 24-hr period and backwash flow are used to determine the total amount of flow leaving through the backwash connection point per day. The backwash concentration is calculated as the total amount of captured solids divided by the daily backwash flow rate. Other Menus Further model parameters are included in the mass transport, stoichiometric and kinetic menu items in the denitrification filter model. These forms are described in the Trickling Filter Model section of this chapter. Initialization The initialization menu of the denitrification filter object is the same as for the trickling filter object, and contains the initial concentrations of the state variables in each layer of the filter. Display Variables In addition to the standard effluent parameters, there are a number of fixed film specific variables that can be displayed. These are accessed through the object's display variables menu item. GPS-X Technical Reference
253 Sedimentation and Flotation Models CHAPTER 8 Sedimentation and Flotation Models This chapter provides a description of the sedimentation and flotation models available in GPS-X. SEDIMENTATION MODELS Sedimentation is one of the most important unit processes in activated sludge treatment plants. The sedimentation unit, whether it is a primary settler, secondary clarifier, or sludge thickener, provides two functions: clarification and thickening. The primary settlers and sludge thickeners are designed and operated to take advantage of the thickening process, while the secondary clarifiers are designed and operated to take advantage of the clarification process. In GPS-X, the sedimentation models are either zero- (point) or one-dimensional (1d suffix), and either reactive (mantis, asm1...) or nonreactive (simple). The following models are available: Zero-dimensional, nonreactive: point One-dimensional, nonreactive: simple1d One-dimensional, reactive: mantis, asm1, asm2d, asm3, newgeneral In reactive models, biological reactions are included, and the model names are associated with the corresponding suspended-growth models, described in Chapter 6 (page 94). For example, the mantis sedimentation model uses the mantis suspended-growth model. One-Dimensional Models In the one-dimensional models, the settler is divided into a number of layers (10 by default) of equal thickness, as depicted in Figure 8-1. The following assumptions are made: 1. Incoming solids are distributed instantaneously and uniformly across the entire cross-sectional area of the feed layer. 2. Only vertical flow is considered. GPS-X Technical Reference
Page 1 and 2:
GPS-X Technical Reference GPS-X Ver
Page 3 and 4:
Table of Contents iii Table of Cont
Page 5 and 6:
v Table of Contents Sedimentation M
Page 7 and 8:
vii Table of Contents Real Time Clo
Page 9 and 10:
ix Table of Contents Figure 6-6 - P
Page 11 and 12:
xi Table of Contents Figure 10-8 -
Page 13 and 14:
xiii Table of Contents Figure 15-6
Page 15 and 16:
xv Table of Contents Table 6-2 - Mo
Page 17 and 18:
17 Modelling Fundamentals Experimen
Page 19 and 20:
19 Modelling Fundamentals The proce
Page 21 and 22:
21 Modelling Fundamentals Overview
Page 23 and 24:
23 Modelling Fundamentals Primary a
Page 25 and 26:
25 Modelling Fundamentals Vesilin
Page 27 and 28:
27 GPS-X Objects CHAPTER 2 GPS-X Ob
Page 29 and 30:
29 GPS- X Objects The mass balance
Page 31 and 32:
31 GPS- X Objects Combining Equatio
Page 33 and 34:
33 GPS-X State Variable Libraries S
Page 35 and 36:
35 GPS-X State Variable Libraries C
Page 37 and 38:
37 GPS-X State Variable Libraries C
Page 39 and 40:
39 GPS-X Composite Variable Librari
Page 41 and 42:
41 GPS-X Composite Variable Calcula
Page 43 and 44:
Page 45 and 46:
Page 47 and 48:
Page 49 and 50:
Page 51 and 52:
Page 53 and 54:
Page 55 and 56:
55 Composite Variable Calculations
Page 57 and 58:
Page 59 and 60:
Page 61 and 62:
61 Influent Models CHAPTER 5 Influe
Page 63 and 64:
63 Influent Models Figure 5-3 - Inf
Page 65 and 66:
65 Influent Models The three influe
Page 67 and 68:
67 Influent Models Total runoff (Q
Page 69 and 70:
69 Influent Models These inputs are
Page 71 and 72:
71 Influent Models CODFractions COD
Page 73 and 74:
73 Influent Models TSSCOD Figure 5-
Page 75 and 76:
75 Influent Models Figure 5-13 - CN
Page 77 and 78:
77 Influent Models CN and CNIP Libr
Page 79 and 80:
Page 81 and 82:
Page 83 and 84:
83 Influent Models INFLUENT OBJECTS
Page 85 and 86:
85 Influent Models Figure 5-22 - In
Page 87 and 88:
87 Influent Models Chemical Dosage
Page 89 and 90:
89 Influent Models Figure 5-29 - Ac
Page 91 and 92:
91 Influent Models Figure 5-33 - Se
Page 93 and 94:
93 Influent Models Figure 5-36 - Se
Page 95 and 96:
95 Suspended Growth Models where: V
Page 97 and 98:
97 Suspended Growth Models The baro
Page 99 and 100:
99 Suspended Growth Models Oxygen M
Page 101 and 102:
101 Suspended Growth Models In the
Page 103 and 104:
103 Suspended Growth Models The SOT
Page 105 and 106:
105 Suspended Growth Models Standar
Page 107 and 108:
107 Suspended Growth Models The reg
Page 109 and 110:
109 Suspended Growth Models SUMMARY
Page 111 and 112:
111 Suspended Growth Models Figure
Page 113 and 114:
113 Suspended Growth Models General
Page 115 and 116:
115 Suspended Growth Models Number
Page 117 and 118:
117 Suspended Growth Models Elevati
Page 119 and 120:
Page 121 and 122:
121 Suspended Growth Models AERATIO
Page 123 and 124:
123 Suspended Growth Models The ent
Page 125 and 126:
125 Suspended Growth Models The org
Page 127 and 128:
127 Suspended Growth Models Process
Page 129 and 130:
129 Suspended Growth Models It i
Page 131 and 132:
131 Suspended Growth Models Nitroge
Page 133 and 134:
133 Suspended Growth Models Include
Page 135 and 136:
135 Suspended Growth Models
Page 137 and 138:
137 Suspended Growth Models Althoug
Page 139 and 140:
139 Suspended Growth Models Particu
Page 141 and 142:
141 Suspended Growth Models 9. Grow
Page 143 and 144:
143 Suspended Growth Models 21. Sto
Page 145 and 146:
145 Suspended Growth Models 33. Gro
Page 147 and 148:
147 Suspended Growth Models To mode
Page 149 and 150:
149 Suspended Growth Models Algebra
Page 151 and 152:
151 Suspended Growth Models The sto
Page 153 and 154:
153 Suspended Growth Models Decay o
Page 155 and 156:
155 Suspended Growth Models SUGGEST
Page 157 and 158:
157 Suspended Growth Models Special
Page 159 and 160:
159 Suspended Growth Models Table 6
Page 161 and 162:
161 Suspended Growth Models The GPS
Page 163 and 164:
163 Suspended Growth Models where:
Page 165 and 166:
165 Suspended Growth Models The max
Page 167 and 168:
167 Suspended Growth Models If yo
Page 169 and 170:
169 Suspended Growth Models ANAEROB
Page 171 and 172:
171 Suspended Growth Models Simple
Page 173 and 174:
173 Suspended Growth Models With th
Page 175 and 176:
175 Suspended Growth Models Manual
Page 177 and 178:
177 Suspended Growth Models Equatio
Page 179 and 180:
179 Suspended Growth Models The met
Page 181 and 182:
181 Suspended Growth Models Pond Mo
Page 183 and 184:
183 Suspended Growth Models Special
Page 185 and 186:
185 Suspended Growth Models Se
Page 187 and 188:
187 Suspended Growth Models aerated
Page 189 and 190:
Page 191 and 192:
Page 193 and 194:
193 Suspended Growth Models Calcula
Page 195 and 196:
195 Suspended Growth Models The vap
Page 197 and 198:
197 Suspended Growth Models Oxygen
Page 199 and 200:
199 Suspended Growth Models Estimat
Page 201 and 202: 201 Suspended Growth Models Estimat
Page 203 and 204: 203 Suspended Growth Models Enterin
Page 209 and 210: 209 Suspended Growth Models MODELLI
Page 211 and 212: 211 Suspended Growth Models TEMPERA
Page 213 and 214: 213 Suspended Growth Models Table 6
Page 215 and 216: 215 Suspended Growth Models The PAC
Page 217 and 218: 217 Suspended Growth Models CHAPTER
Page 219 and 220: 219 Attached-Growth Models Each lay
Page 221 and 222: 221 Attached-Growth Models Equation
Page 223 and 224: 223 Attached-Growth Models The mode
Page 225 and 226: 225 Attached-Growth Models The phys
Page 227 and 228: 227 Attached-Growth Models Liquid F
Page 229 and 230: 229 Attached-Growth Models This con
Page 231 and 232: 231 Attached-Growth Models The next
Page 233 and 234: 233 Attached-Growth Models The SBC
Page 235 and 236: 235 Attached-Growth Models Based on
Page 237 and 238: 237 Attached-Growth Models Operatio
Page 239 and 240: 239 Attached-Growth Models Hydrauli
Page 241 and 242: 241 Attached-Growth Models ADVANCED
Page 243 and 244: 243 Attached-Growth Models Filtrati
Page 245 and 246: 245 Attached-Growth Models Operatio
Page 247 and 248: 247 Attached-Growth Models This for
Page 249 and 250: 249 Attached-Growth Models HYBRID S
Page 251: 251 Attached-Growth Models Figure 7
Page 255 and 256: 255 Sedimentation and Flotation Mod
Page 267 and 268: 267 Sand Filtration Models Floatati
Page 269 and 270: 269 Sand Filtration Models The back
Page 271 and 272: 271 Sand Filtration Models The mass
Page 273 and 274: 273 Sand Filtration Models Figure 9
Page 275 and 276: 275 Digestion Models Figure 10-1 -
Page 277 and 278: 277 Digestion Models Seven yield co
Page 279 and 280: 279 Digestion Models Based on the a
Page 281 and 282: 281 Digestion Models Combining the
Page 283 and 284: 283 Digestion Models The Operationa
Page 285 and 286: 285 Digestion Models Kinetic and St
Page 287 and 288: 287 Digestion Models The rest of th
Page 291 and 292: 291 Digestion Models ADM1 State Var
Page 293 and 294: 293 Digestion Models AEROBIC DIGEST
Page 297 and 298: 297 Other Models CHAPTER 11 Other M
Page 299 and 300: 299 Others Models High volume for p
Page 301 and 302: 301 Others Models The sludge pretre
Page 303 and 304:
303 Others Models With a large over
Page 305 and 306:
305 Others Models Dosage Controller
Page 307 and 308:
307 Others Models The set of above
Page 309 and 310:
309 Others Models There are three p
Page 311 and 312:
311 Others Models DISINFECTION UNIT
Page 313 and 314:
313 Others Models DEWATERING Four m
Page 315 and 316:
315 Others Models The optimal polym
Page 317 and 318:
317 Others Models DISC AND BELT MIC
Page 319 and 320:
319 Others Models Figure 11-12 - Pl
Page 321 and 322:
321 Others Models Physical Setup Fo
Page 323 and 324:
323 Others Models Exponential const
Page 325 and 326:
325 Others Models BLACK BOX The Bla
Page 327 and 328:
327 Tools Object Figure 11-19 - Spe
Page 329 and 330:
329 Tools Object Figure 11-21 - Inp
Page 331 and 332:
331 Tools Object Typical Model Outp
Page 333 and 334:
333 Tools Object The variable speed
Page 335 and 336:
335 Tools Object SLUDGE EFFLUENT BU
Page 337 and 338:
337 Tools Object PH TOOL Take a sam
Page 339 and 340:
339 Tools Object These concentratio
Page 341 and 342:
341 Tools Object LOW-PASS FILTERING
Page 343 and 344:
343 Tools Object Control Variable P
Page 345 and 346:
345 Tools Object The individual mod
Page 347 and 348:
347 Tools Object PID in Position Fo
Page 349 and 350:
349 Tools Object The following para
Page 351 and 352:
351 Tools Object The controller tun
Page 353 and 354:
353 Tools Object When both the proc
Page 355 and 356:
355 Tools Object TIMER CONTROL The
Page 357 and 358:
357 Tools Object Controller - The c
Page 359 and 360:
359 Tools Object (qcon is the crypt
Page 361 and 362:
361 Operating Cost Models CHAPTER 1
Page 363 and 364:
363 Operating Cost Models The energ
Page 365 and 366:
365 Operating Cost Models OPERATING
Page 367 and 368:
367 Operating Cost Models OPERATING
Page 369 and 370:
369 Operating Cost Models CALIBRATI
Page 371 and 372:
371 Operating Cost Models Category
Page 373 and 374:
373 Optimizer If after the reflecti
Page 375 and 376:
375 Optimizer In the objective func
Page 377 and 378:
377 Optimizer Figure 14-2 - Optimiz
Page 379 and 380:
379 Optimizer Figure 14-3 - Example
Page 381 and 382:
381 Optimizer SUMMARY OF THE OPTIMI
Page 383 and 384:
383 Optimizer Use specified standar
Page 385 and 386:
385 Optimizer Level of significance
Page 387 and 388:
387 Optimizer APPENDIX A: MAXIMUM L
Page 389 and 390:
389 Optimizer In GPS-X the log-like
Page 391 and 392:
391 Optimizer Note that the user ca
Page 393 and 394:
393 Optimizer Gradient of the Objec
Page 395 and 396:
395 Optimizer Hessian of the Object
Page 397 and 398:
397 Optimizer For the maximum likel
Page 399 and 400:
399 Optimizer Percentage Variation
Page 401 and 402:
401 Optimizer GPS-X reports the F-v
Page 403 and 404:
403 Optimizer The sum of squares ra
Page 405 and 406:
405 Optimizer To check for violatio
Page 407 and 408:
407 Optimizer If the sample autocor
Page 409 and 410:
409 Optimizer APPENDIX C: NOMENCLAT
Page 411 and 412:
411 Optimizer APPENDIX D: REFERENCE
Page 413 and 414:
413 Miscellaneous CHAPTER 15 Miscel
Page 415 and 416:
415 Miscellaneous As compared to th
Page 417 and 418:
417 Miscellaneous A typical GPS-X o
Page 419 and 420:
419 Miscellaneous RESIDUAL PLOTS Fo
Page 421 and 422:
421 Miscellaneous Figure 15-6 - Res
Page 423 and 424:
423 Miscellaneous REAL TIME CLOCK T
Page 425 and 426:
425 Miscellaneous Figure 15-9 - Ste
Page 427 and 428:
427 Miscellaneous Figure 15-11 - In
Page 429 and 430:
429 Miscellaneous The smoothing fun
Page 431 and 432:
431 Miscellaneous The Gear's Stiff
Page 433 and 434:
Appendix A - Petersen Matrices A-1
Page 435 and 436:
Page 437 and 438:
ASM2d in CNPLIB Appendix A - Peters
Page 439 and 440:
15 Lysis of XBP 16 Lysis of XPP 17
Page 441 and 442:
Page 443 and 444:
NewGeneral in CNPLIB Appendix A - P
Page 445 and 446:
NewGeneral in CNPLIB Appendix A - P
Page 447 and 448:
Component i Process Rates Appendix
Page 449:
Page 452 and 453:
2 Appendix A - Prefermenter Peterse
Page 454 and 455:
Page 456 and 457:
Page 458 and 459:
Page 460 and 461:
D-2 Appendix D - References Brockwe
Page 462 and 463:
D-4 Appendix D - References Hur, D.
Page 464 and 465:
D-6 Appendix D - References Reilly,
Page 466:
D-8 Appendix D - References Wuhrman
show all

GPS-X Technical Reference

Create successful ePaper yourself

Delete template?

Save as template?