GPS-X Technical Reference

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Digestion Models 290 ADM1 Model Set up Suggestions The following hints are useful for characterizing influent streams to a digester object using the ADM1 model. Because the ADM1 model uses a different set of state variables than the ASM activated sludge models, supplementary information has to be supplied for the ASM1/ADM1 interface. In typical simulation practice, you will not have all the information you need, and will have to estimate the values for many of the ADM1 influent parameters. These guidelines can be useful for making sure that the estimates are used correctly. The following suggestions are for the Carbon-Nitrogen Library (CNLIB). ADM1 State Variables Set on the ADM1 “Influent” Parameter Menu Table 10-1 – ADM1 State Variables Set on the ADM1 “Influent” Parameter Menu Parameter cations anions long chain fatty acids total valerate total butyrate total propionate total acetate hydrogen gas methane gas proteins sugar degraders amino acid degraders long chain fatty acid degraders valerate and butyrate degraders propionate degraders acetate degraders hydrogen degraders Suggestion Must be measured or estimated or can be set to the value of the S ic (inorganic carbon) state in ADM1. Must be measured or estimated or can be set to the value of the S in (inorganic nitrogen) state in ADM1. Must be measured or estimated. It is part of S s in the influent object form. Must be measured or estimated. It is part of S s in the influent object form. Must be measured or estimated. It is part of S s in the influent object form. Must be measured or estimated. It is part of S s in the influent object form. Must be measured or estimated. It is part of S s in the influent object form. Set to zero Set to zero Must be measured or estimated. It is part of X s in the influent object form. Set to zero Set to zero Set to zero Set to zero Set to zero Set to zero Set to zero GPS-X Technical Reference
291 Digestion Models ADM1 State Variables Set in the Influent Object When the influent stream is represented by an influent object, the states influent model should be used in the influent object. Some of the states are ADM1 states and these need to be estimated. Some states are not relevant for ADM1 and can be ignored. Some states form a fraction of an ADM1 state and when added up need to correspond to the values entered into the influent form of the ADM1 object. More detailed descriptions are given below: Table 10-2 – ADM1 State Variables Set in the Influent Object Parameter inert inorganic suspended solids soluble inert organic material readily biodegradable substrate particulate inert organic material slowly biodegradable substrate active heterotrophic biomass active autotrophic biomass unbiodegradable particulates from cell decay internal cell storage product dissolved oxygen free and ionized ammonia soluble biodegradable organic nitrogen Suggestion Must be measured or estimated. It is not an ADM1 state but will impact the solids concentration. Same as the S i state in ADM1 Sum of Monosaccharides, Amino acids, Long chain fatty acids, Total valerate, Total butyrate, Total propionate, Total acetate, and Carbohydrates states in ADM1. Make sure this value is the sum of the values entered for these states in the ADM1 influent stream. Same as X i state in ADM1. Sum of composites, proteins, and lipids states in ADM1. Make sure this value is the sum of the values entered for these states in the ADM1 influent stream. Set to zero unless you have an estimate of it. Set to zero unless you have an estimate of it. Becomes part of X i state in ADM1. Unless you know X u, use X i above and set this to zero Not used. Not in ADM1 but used by GPS-X to estimate the COD demand of the influent stream. It is assumed that both oxygen and nitrate will be reduced instantaneously upon entering the anaerobic environment, so the total incoming COD is reduced by this incoming COD demand to compensate for the reduction of the electron acceptors present in the incoming stream. S in state in ADM1 (inorganic nitrogen). Make sure that correct units are used. (nitrogen faction in amino acids = 0.098) amino acids concentration 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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63 Influent Models Figure 5-3 - Inf
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65 Influent Models The three influe
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67 Influent Models Total runoff (Q
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69 Influent Models These inputs are
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71 Influent Models CODFractions COD
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73 Influent Models TSSCOD Figure 5-
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75 Influent Models Figure 5-13 - CN
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77 Influent Models CN and CNIP Libr
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83 Influent Models INFLUENT OBJECTS
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85 Influent Models Figure 5-22 - In
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87 Influent Models Chemical Dosage
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89 Influent Models Figure 5-29 - Ac
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91 Influent Models Figure 5-33 - Se
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93 Influent Models Figure 5-36 - Se
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95 Suspended Growth Models where: V
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97 Suspended Growth Models The baro
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99 Suspended Growth Models Oxygen M
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101 Suspended Growth Models In the
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103 Suspended Growth Models The SOT
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105 Suspended Growth Models Standar
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107 Suspended Growth Models The reg
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109 Suspended Growth Models SUMMARY
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111 Suspended Growth Models Figure
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113 Suspended Growth Models General
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115 Suspended Growth Models Number
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117 Suspended Growth Models Elevati
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121 Suspended Growth Models AERATIO
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123 Suspended Growth Models The ent
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125 Suspended Growth Models The org
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127 Suspended Growth Models Process
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129 Suspended Growth Models It i
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131 Suspended Growth Models Nitroge
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133 Suspended Growth Models Include
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135 Suspended Growth Models
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137 Suspended Growth Models Althoug
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139 Suspended Growth Models Particu
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141 Suspended Growth Models 9. Grow
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143 Suspended Growth Models 21. Sto
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145 Suspended Growth Models 33. Gro
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147 Suspended Growth Models To mode
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149 Suspended Growth Models Algebra
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151 Suspended Growth Models The sto
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153 Suspended Growth Models Decay o
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155 Suspended Growth Models SUGGEST
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157 Suspended Growth Models Special
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159 Suspended Growth Models Table 6
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161 Suspended Growth Models The GPS
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163 Suspended Growth Models where:
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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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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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Page 253 and 254: 253 Sedimentation and Flotation Mod
Page 267 and 268: 267 Sand Filtration Models Floatati
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Page 293 and 294: 293 Digestion Models AEROBIC DIGEST
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Page 297 and 298: 297 Other Models CHAPTER 11 Other M
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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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