الفهرس 
Chapter One : IntroductionOnly 14 pages are availabe for public view
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Abstract
from the dynamic studies of the MEC model, it was obvious that the system was extremely complicated, nonlinear and multivariable system. It also shows that the internal parameters have a significant effect on the rate of hydrogen production, which is closely related to the electrode potential applied to the system.
In this study MEC model was studied and verified by implementing it on several cases. Then sensitivity analysis of this model was conducted, and the effective parameters were defined, It was noticed that the parameters which has the highest effect on the cell are µm, a, µm, h, qm,a ,KM, KR, T, P, v, A and Eapp.
These results were utilized to reduce the model and obtain simple equations. These simple equations were validated using experimental results.
After this optimization of the operating parameters of MEC was accomplished for Pinto model, the optimization results showed that maximize MEC productivity is 0.0024 W, which was obtained when applied potential was reduced to 1.0105 V instead of 1.3 V in Pinto model, the produced energy as hydrogen was 0.0275 W instead of 0.0261 W and COD reduction was 62% instead of 49%. Another optimization was conducted for Hongqiang case study, the optimization results showed that maximize MEC productivity is 0.0056 W instead of 0.0052 W, which was obtained when the produced energy as hydrogen was 0.0151W instead of 0.0100 W, potential of 0.8 V and COD reduction 85% instead of 63%.
As indicated by this study, the MFC model is similar in it is complexity to the model of MEC as it’s also an extremely complicated nonlinear and multivariable system. In this study MFC model was studied and validated. Sensitivity analysis indicated that the parameters with the highest effect on the cell and the current produced were µm,a, qm,a ,KM, KR, T, P, V, A, ECEF, Rmin and Rmax. These results were utilized to reduce the model and obtain simple equations. These simple equations were validated using experimental results. Following this, the computations necessary for the optimization of the operating parameters of MFC were conducted for Pinto model. These computations indicated that the maximum MFC power productivity was 0.0023 W instead of 0.0020 in pinto model, obtained at an external resistance of 67.0415 Ω instead of 60 Ω, a produced potential of 0.4053V instead of 0.3966V and COD reduction 95.7% instead of 30%.
The study of MEC and MFC coupled system showed that combining the two complex systems in one system create more complexity. In this study coupled system was simulated and validated. Sensitivity analysis indicated that the parameters with the highest effect on the cell were number of MFC connected in series, KR, Rmax1, Rmin1 and xao. Optimization of the operating parameters and arrangement of the coupled system were conducted for Sun model. These optimization showed that maximum profit can be achieved by coupled system which consists of one MEC and two MFC all of them in the same size which achieved COD reduction 91.21%.