A New Model for Microbial Desalination Cells: Model Formulation and Validation under Different Operating Conditions
In this paper, a dynamic mathematical model was developed to simulate the processes in Microbial Desalination Cells (MDCs) operated in cyclic batch flow mode using ordinary differential equations found in the literature. In contrast to previous models, the proposed model was developed for fed-batch...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2022/3791662 |
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| author | Merna Hesham Abdelsalam Elawwad Ahmed Abd El Meguid Mohamed Hamdy Nour |
| author_facet | Merna Hesham Abdelsalam Elawwad Ahmed Abd El Meguid Mohamed Hamdy Nour |
| author_sort | Merna Hesham |
| collection | DOAJ |
| description | In this paper, a dynamic mathematical model was developed to simulate the processes in Microbial Desalination Cells (MDCs) operated in cyclic batch flow mode using ordinary differential equations found in the literature. In contrast to previous models, the proposed model was developed for fed-batch operations and considers the effects of temperature and substrate inhibition using simple equations for quick simulation. Local sensitivity analysis was performed to determine the parameters with the least impact on current, COD, and salt removal, which were then eliminated from the simplified model. These parameters were found to be the decay rates of anodophilic and methanogenic microorganisms (kd,aand kd,m) and the internal resistance parameters (Ranolyte and Rmembrane). In addition, the best-performing parameters based on the sensitivity analysis results were selected for reestimation for model fitting. The reestimated parameters were mediator yield (Y), membrane salt transfer coefficient (d), maximum substrate utilization rate by methanogenic microorganisms (μs, m, max), and maximum anodophilic growth rate (μa, max). The predictions of the model were consistent with both our previous experimental data and experimental studies found in the literature and can be easily used by experimentalists for the rapid simulation and prediction of an MDC’s performance under different operating conditions. |
| format | Article |
| id | doaj-art-82f2e72e99094886aa2868cba1887cf6 |
| institution | Kabale University |
| issn | 2090-9071 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Chemistry |
| spelling | doaj-art-82f2e72e99094886aa2868cba1887cf62025-08-20T03:37:11ZengWileyJournal of Chemistry2090-90712022-01-01202210.1155/2022/3791662A New Model for Microbial Desalination Cells: Model Formulation and Validation under Different Operating ConditionsMerna Hesham0Abdelsalam Elawwad1Ahmed Abd El Meguid2Mohamed Hamdy Nour3Irrigation and Hydraulics Engineering Dept.Environmental Engineering Dept.Sanitary and Environmental Engineering InstituteIrrigation and Hydraulics Engineering Dept.In this paper, a dynamic mathematical model was developed to simulate the processes in Microbial Desalination Cells (MDCs) operated in cyclic batch flow mode using ordinary differential equations found in the literature. In contrast to previous models, the proposed model was developed for fed-batch operations and considers the effects of temperature and substrate inhibition using simple equations for quick simulation. Local sensitivity analysis was performed to determine the parameters with the least impact on current, COD, and salt removal, which were then eliminated from the simplified model. These parameters were found to be the decay rates of anodophilic and methanogenic microorganisms (kd,aand kd,m) and the internal resistance parameters (Ranolyte and Rmembrane). In addition, the best-performing parameters based on the sensitivity analysis results were selected for reestimation for model fitting. The reestimated parameters were mediator yield (Y), membrane salt transfer coefficient (d), maximum substrate utilization rate by methanogenic microorganisms (μs, m, max), and maximum anodophilic growth rate (μa, max). The predictions of the model were consistent with both our previous experimental data and experimental studies found in the literature and can be easily used by experimentalists for the rapid simulation and prediction of an MDC’s performance under different operating conditions.http://dx.doi.org/10.1155/2022/3791662 |
| spellingShingle | Merna Hesham Abdelsalam Elawwad Ahmed Abd El Meguid Mohamed Hamdy Nour A New Model for Microbial Desalination Cells: Model Formulation and Validation under Different Operating Conditions Journal of Chemistry |
| title | A New Model for Microbial Desalination Cells: Model Formulation and Validation under Different Operating Conditions |
| title_full | A New Model for Microbial Desalination Cells: Model Formulation and Validation under Different Operating Conditions |
| title_fullStr | A New Model for Microbial Desalination Cells: Model Formulation and Validation under Different Operating Conditions |
| title_full_unstemmed | A New Model for Microbial Desalination Cells: Model Formulation and Validation under Different Operating Conditions |
| title_short | A New Model for Microbial Desalination Cells: Model Formulation and Validation under Different Operating Conditions |
| title_sort | new model for microbial desalination cells model formulation and validation under different operating conditions |
| url | http://dx.doi.org/10.1155/2022/3791662 |
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