GPS-X Technical Reference

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Suspended Growth Models 114 Alpha factor (fine bubble): Specifies the value of the wastewater correction factor for the fine bubble K La. The default value is 0.6. Alpha factor (coarse bubble): Specifies the value of the wastewater correction factor for the coarse bubble K La. The default value is 0.8. Alpha factor (jet): Specifies the value of the wastewater correction factor for the jet K La. The default value is 0.85. Alpha factor (user-defined): Specifies the value of the wastewater correction factor for the user-defined K La. The default value is 0.6 Fouling constant: Diffuser fouling factor. Default value is 1 (i.e. no fouling) Depth correction factor for user-defined (Fine Bubble/Coarse Bubble): When the user-defined diffuser type is being used, this parameter selects whether Equation 6.8 or Equation 6.9 is used to calculate the depth correction factor for the DO saturation concentration. Oxygen Transfer Efficiency (SOTE) Sub-Section (Under More…) SOTE type (Constant/Correlation): Specifies whether the SOTE is set by the user or calculated by a correlation. The correlation used depends on the diffuser type selected. Standard oxygen transfer efficiency: When the SOTE type is set to constant, this value is used for the SOTE. Diffuser submergence: Specifies the depth of submergence of the diffusers. Method of specifying diffuser setup (Enter Number of Diffusers/Enter Diffuser Density): Allows the user to either specify the number of diffusers or the diffuser density (diffuser area/tank area). It is important to enter the diffuser density or the number of diffusers if an SOTE correlation is being used or the user requires GPS-X to display accurate values of the airflow per diffuser and the number of diffusers per unit area. Diffuser density (diffuser area/tank area): When the method of specifying the diffuser setup has been selected as diffuser density, this parameter allows the user to enter the diffuser density as a fraction or a percentage. Diffuser densities between 5 % and 25 % are typical. GPS-X Technical Reference
115 Suspended Growth Models Number of diffusers or jets: When the method of specifying the diffuser setup has been selected as enter number of diffusers, this parameter allows the user to enter the number of diffusers. Tank floor area: The area of the tank floor. It is important to enter the tank foor area if an SOTE correlation is being used or the user requires GPS-X to display an accurate value of the number of diffusers per unit area. Area per diffuser: The floor area taken up by a diffuser. It is important to enter the area per diffuser if an SOTE correlation is being used and the user is entering the diffuser density. The default value is 0.038 m 2 which is typical for a 9″ diameter ceramic diffuser. Fine bubble diffuser head type (Ceramic Disc/Ceramic Dome/Membrane Disc/ Membrane Tube): Used to specify the fine bubble diffuser head type when fine bubble diffused aeration has been specified and an SOTE correlation is being used. User-Defined SOTE Regression Coefficients Sub-Section (Under More…) SOTE regression constant A1 (user-defined): Regression parameter A 1 in user-defined SOTE correlation. SOTE regression constant A2 (user-defined): Regression parameter A 2 in user-defined SOTE correlation. SOTE regression constant A3 (user-defined): Regression parameter A 3 in user-defined SOTE correlation. SOTE regression constant A4 (user-defined): Regression parameter A 4 in user-defined SOTE correlation. SOTE regression constant A5 (user-defined): Regression parameter A 5 in user-defined SOTE correlation. Deep Tank User-Defined SOTE Regression Coefficient (Under More…) Deep Tank SOTE regression constant A6 (user-defined): Regression parameter for the deep tank SOTE term in the user-defined SOTE correlation. GPS-X Technical Reference
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GPS-X Technical Reference GPS-X Ver
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Table of Contents iii Table of Cont
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v Table of Contents Sedimentation M
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vii Table of Contents Real Time Clo
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ix Table of Contents Figure 6-6 - P
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xi Table of Contents Figure 10-8 -
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xiii Table of Contents Figure 15-6
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xv Table of Contents Table 6-2 - Mo
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17 Modelling Fundamentals Experimen
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19 Modelling Fundamentals The proce
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21 Modelling Fundamentals Overview
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23 Modelling Fundamentals Primary a
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25 Modelling Fundamentals Vesilin
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27 GPS-X Objects CHAPTER 2 GPS-X Ob
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29 GPS- X Objects The mass balance
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31 GPS- X Objects Combining Equatio
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33 GPS-X State Variable Libraries S
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35 GPS-X State Variable Libraries C
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37 GPS-X State Variable Libraries C
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39 GPS-X Composite Variable Librari
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41 GPS-X Composite Variable Calcula
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55 Composite Variable Calculations
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61 Influent Models CHAPTER 5 Influe
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Page 83 and 84: 83 Influent Models INFLUENT OBJECTS
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Page 91 and 92: 91 Influent Models Figure 5-33 - Se
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165 Suspended Growth Models The max
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167 Suspended Growth Models If yo
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169 Suspended Growth Models ANAEROB
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171 Suspended Growth Models Simple
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173 Suspended Growth Models With th
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175 Suspended Growth Models Manual
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177 Suspended Growth Models Equatio
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179 Suspended Growth Models The met
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181 Suspended Growth Models Pond Mo
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183 Suspended Growth Models Special
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185 Suspended Growth Models Se
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187 Suspended Growth Models aerated
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189 Suspended Growth Models Figure
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191 Suspended Growth Models Figure
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193 Suspended Growth Models Calcula
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195 Suspended Growth Models The vap
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197 Suspended Growth Models Oxygen
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199 Suspended Growth Models Estimat
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203 Suspended Growth Models Enterin
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209 Suspended Growth Models MODELLI
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211 Suspended Growth Models TEMPERA
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213 Suspended Growth Models Table 6
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215 Suspended Growth Models The PAC
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217 Suspended Growth Models CHAPTER
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219 Attached-Growth Models Each lay
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221 Attached-Growth Models Equation
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223 Attached-Growth Models The mode
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225 Attached-Growth Models The phys
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227 Attached-Growth Models Liquid F
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229 Attached-Growth Models This con
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231 Attached-Growth Models The next
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233 Attached-Growth Models The SBC
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235 Attached-Growth Models Based on
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237 Attached-Growth Models Operatio
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239 Attached-Growth Models Hydrauli
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241 Attached-Growth Models ADVANCED
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243 Attached-Growth Models Filtrati
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245 Attached-Growth Models Operatio
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247 Attached-Growth Models This for
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249 Attached-Growth Models HYBRID S
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251 Attached-Growth Models Figure 7
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253 Sedimentation and Flotation Mod
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267 Sand Filtration Models Floatati
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269 Sand Filtration Models The back
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271 Sand Filtration Models The mass
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273 Sand Filtration Models Figure 9
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275 Digestion Models Figure 10-1 -
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277 Digestion Models Seven yield co
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279 Digestion Models Based on the a
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281 Digestion Models Combining the
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283 Digestion Models The Operationa
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285 Digestion Models Kinetic and St
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287 Digestion Models The rest of th
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291 Digestion Models ADM1 State Var
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293 Digestion Models AEROBIC DIGEST
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297 Other Models CHAPTER 11 Other M
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299 Others Models High volume for p
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301 Others Models The sludge pretre
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303 Others Models With a large over
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305 Others Models Dosage Controller
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307 Others Models The set of above
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309 Others Models There are three p
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311 Others Models DISINFECTION UNIT
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313 Others Models DEWATERING Four m
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315 Others Models The optimal polym
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317 Others Models DISC AND BELT MIC
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319 Others Models Figure 11-12 - Pl
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321 Others Models Physical Setup Fo
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323 Others Models Exponential const
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325 Others Models BLACK BOX The Bla
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327 Tools Object Figure 11-19 - Spe
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329 Tools Object Figure 11-21 - Inp
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331 Tools Object Typical Model Outp
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333 Tools Object The variable speed
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335 Tools Object SLUDGE EFFLUENT BU
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337 Tools Object PH TOOL Take a sam
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339 Tools Object These concentratio
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341 Tools Object LOW-PASS FILTERING
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343 Tools Object Control Variable P
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345 Tools Object The individual mod
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347 Tools Object PID in Position Fo
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349 Tools Object The following para
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351 Tools Object The controller tun
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353 Tools Object When both the proc
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355 Tools Object TIMER CONTROL The
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357 Tools Object Controller - The c
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359 Tools Object (qcon is the crypt
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361 Operating Cost Models CHAPTER 1
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363 Operating Cost Models The energ
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365 Operating Cost Models OPERATING
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367 Operating Cost Models OPERATING
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369 Operating Cost Models CALIBRATI
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371 Operating Cost Models Category
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373 Optimizer If after the reflecti
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375 Optimizer In the objective func
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377 Optimizer Figure 14-2 - Optimiz
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379 Optimizer Figure 14-3 - Example
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381 Optimizer SUMMARY OF THE OPTIMI
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383 Optimizer Use specified standar
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385 Optimizer Level of significance
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387 Optimizer APPENDIX A: MAXIMUM L
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389 Optimizer In GPS-X the log-like
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391 Optimizer Note that the user ca
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393 Optimizer Gradient of the Objec
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395 Optimizer Hessian of the Object
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397 Optimizer For the maximum likel
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399 Optimizer Percentage Variation
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401 Optimizer GPS-X reports the F-v
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403 Optimizer The sum of squares ra
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405 Optimizer To check for violatio
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407 Optimizer If the sample autocor
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409 Optimizer APPENDIX C: NOMENCLAT
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411 Optimizer APPENDIX D: REFERENCE
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413 Miscellaneous CHAPTER 15 Miscel
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415 Miscellaneous As compared to th
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417 Miscellaneous A typical GPS-X o
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419 Miscellaneous RESIDUAL PLOTS Fo
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421 Miscellaneous Figure 15-6 - Res
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423 Miscellaneous REAL TIME CLOCK T
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425 Miscellaneous Figure 15-9 - Ste
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427 Miscellaneous Figure 15-11 - In
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429 Miscellaneous The smoothing fun
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431 Miscellaneous The Gear's Stiff
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Appendix A - Petersen Matrices A-1
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ASM2d in CNPLIB Appendix A - Peters
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15 Lysis of XBP 16 Lysis of XPP 17
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NewGeneral in CNPLIB Appendix A - P
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NewGeneral in CNPLIB Appendix A - P
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Component i Process Rates Appendix
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2 Appendix A - Prefermenter Peterse
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D-2 Appendix D - References Brockwe
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D-4 Appendix D - References Hur, D.
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D-6 Appendix D - References Reilly,
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D-8 Appendix D - References Wuhrman
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