CO2 biofixation by microalgae : modeling, estimation and control / / Sihem Tebbani [and four others] |
Autore | Tebbani Sihem |
Pubbl/distr/stampa | London, [England] ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014 |
Descrizione fisica | 1 online resource (191 p.) |
Disciplina | 579.8 |
Collana | Focus : Bioengineering and Health Science Series |
Soggetto topico |
Microalgae - Biotechnology
Carbon dioxide - Metabolism Carbon sequestration |
Soggetto genere / forma | Electronic books. |
ISBN |
1-118-98445-5
1-118-98447-1 1-118-98446-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents ; Introduction; Chapter 1. Microalgae; 1.1. Definition; 1.2. Characteristics; 1.3. Uses of microalgae; 1.3.1. Nutrition; 1.3.2. Pharmaceuticals; 1.3.3. Cosmetics; 1.3.4. Energy; 1.3.5. Environmental field; 1.4. Microalgae cultivation systems; 1.4.1. Open systems; 1.4.2. Closed systems: photobioreactors; 1.5. Factors affecting algae cultivation; 1.5.1. Light; 1.5.2. Temperature; 1.5.3. pH; 1.5.4. Nutrients; 1.5.5. Medium salinity; 1.5.6. Agitation; 1.5.7. Gas-liquid mass transfer; 1.6. Conclusion; Chapter 2. Co2 Biofixation
2.1. Selection of microalgae species2.1.1. Photosynthetic activity; 2.1.2. CO2 concentrating mechanism "CCM"; 2.1.3. Choice of the microalgae species; 2.2. Optimization of the photobioreactor design; 2.3. Conclusion; Chapter 3. Bioprocess Modeling; 3.1. Operating modes; 3.1.1. Batch mode; 3.1.2. Fed-batch mode; 3.1.3. Continuous mode; 3.2. Growth rate modeling; 3.2.1. General models; 3.2.2. Droop's model; 3.2.3. Models dealing with light effect; 3.2.4. Model dealing with carbon effect; 3.2.5. Models of the simultaneous influence of several parameters; 3.2.6. Choice of growth rate model 3.3. Mass balance models3.4. Model parameter identification; 3.5. Example: Chlorella vulgaris culture; 3.5.1. Experimental set-up; 3.5.2. Modeling; 3.5.3. Parametric identification; 3.6. Conclusion; Chapter 4. Estimation of Biomass Concentration; 4.1. Generalities on estimation; 4.2. State of the art; 4.3. Kalman filter; 4.3.1. Principle; 4.3.2. Discrete Kalman filter; 4.3.3. Discrete extended Kalman filter; 4.3.4. Kalman filter settings; 4.3.5. Example; 4.4. Asymptotic observer; 4.4.1. Principle; 4.4.2. Example; 4.5. Interval observer; 4.5.1. Principle; 4.5.2. Example 4.6. Experimental validation on Chlorella vulgaris culture4.7. Conclusion; Chapter 5. Bioprocess Control; 5.1. Determination of optimal operating conditions; 5.1.1. Optimal operating conditions; 5.1.2. Optimal set-point; 5.2. Generalities on control; 5.3. State of the art; 5.4. Generic Model Control; 5.4.1. Principle; 5.4.2. Advantages and disadvantages; 5.4.3. Example; 5.5. Input/output linearizing control; 5.5.1. Principle; 5.5.2. Advantages and disadvantages; 5.5.3. Example; 5.6. Nonlinear model predictive control; 5.6.1. Principle; 5.6.2. Nonlinear Model Predictive Control 5.6.3. Advantages and disadvantages5.6.4. Example; 5.7. Application to Chlorella vulgaris cultures; 5.7.1. GMC law performance; 5.7.2. Performance of the predictive control law; 5.8. Conclusion; Conclusion; Bibliography; Index |
Record Nr. | UNINA-9910132204903321 |
Tebbani Sihem
![]() |
||
London, [England] ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
CO2 biofixation by microalgae : modeling, estimation and control / / Sihem Tebbani [and four others] |
Autore | Tebbani Sihem |
Pubbl/distr/stampa | London, [England] ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014 |
Descrizione fisica | 1 online resource (191 p.) |
Disciplina | 579.8 |
Collana | Focus : Bioengineering and Health Science Series |
Soggetto topico |
Microalgae - Biotechnology
Carbon dioxide - Metabolism Carbon sequestration |
ISBN |
1-118-98445-5
1-118-98447-1 1-118-98446-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents ; Introduction; Chapter 1. Microalgae; 1.1. Definition; 1.2. Characteristics; 1.3. Uses of microalgae; 1.3.1. Nutrition; 1.3.2. Pharmaceuticals; 1.3.3. Cosmetics; 1.3.4. Energy; 1.3.5. Environmental field; 1.4. Microalgae cultivation systems; 1.4.1. Open systems; 1.4.2. Closed systems: photobioreactors; 1.5. Factors affecting algae cultivation; 1.5.1. Light; 1.5.2. Temperature; 1.5.3. pH; 1.5.4. Nutrients; 1.5.5. Medium salinity; 1.5.6. Agitation; 1.5.7. Gas-liquid mass transfer; 1.6. Conclusion; Chapter 2. Co2 Biofixation
2.1. Selection of microalgae species2.1.1. Photosynthetic activity; 2.1.2. CO2 concentrating mechanism "CCM"; 2.1.3. Choice of the microalgae species; 2.2. Optimization of the photobioreactor design; 2.3. Conclusion; Chapter 3. Bioprocess Modeling; 3.1. Operating modes; 3.1.1. Batch mode; 3.1.2. Fed-batch mode; 3.1.3. Continuous mode; 3.2. Growth rate modeling; 3.2.1. General models; 3.2.2. Droop's model; 3.2.3. Models dealing with light effect; 3.2.4. Model dealing with carbon effect; 3.2.5. Models of the simultaneous influence of several parameters; 3.2.6. Choice of growth rate model 3.3. Mass balance models3.4. Model parameter identification; 3.5. Example: Chlorella vulgaris culture; 3.5.1. Experimental set-up; 3.5.2. Modeling; 3.5.3. Parametric identification; 3.6. Conclusion; Chapter 4. Estimation of Biomass Concentration; 4.1. Generalities on estimation; 4.2. State of the art; 4.3. Kalman filter; 4.3.1. Principle; 4.3.2. Discrete Kalman filter; 4.3.3. Discrete extended Kalman filter; 4.3.4. Kalman filter settings; 4.3.5. Example; 4.4. Asymptotic observer; 4.4.1. Principle; 4.4.2. Example; 4.5. Interval observer; 4.5.1. Principle; 4.5.2. Example 4.6. Experimental validation on Chlorella vulgaris culture4.7. Conclusion; Chapter 5. Bioprocess Control; 5.1. Determination of optimal operating conditions; 5.1.1. Optimal operating conditions; 5.1.2. Optimal set-point; 5.2. Generalities on control; 5.3. State of the art; 5.4. Generic Model Control; 5.4.1. Principle; 5.4.2. Advantages and disadvantages; 5.4.3. Example; 5.5. Input/output linearizing control; 5.5.1. Principle; 5.5.2. Advantages and disadvantages; 5.5.3. Example; 5.6. Nonlinear model predictive control; 5.6.1. Principle; 5.6.2. Nonlinear Model Predictive Control 5.6.3. Advantages and disadvantages5.6.4. Example; 5.7. Application to Chlorella vulgaris cultures; 5.7.1. GMC law performance; 5.7.2. Performance of the predictive control law; 5.8. Conclusion; Conclusion; Bibliography; Index |
Record Nr. | UNINA-9910825265503321 |
Tebbani Sihem
![]() |
||
London, [England] ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|