|تعداد مشاهده مقاله||111,657,555|
|تعداد دریافت فایل اصل مقاله||86,275,231|
Experimental and Theoretical Study for Hydrogen Biogas Production from Municipal Solid Waste
|مقاله 12، دوره 5، شماره 1، فروردین 2019، صفحه 147-159 اصل مقاله (1.31 M)|
|نوع مقاله: Original Research Paper|
|شناسه دیجیتال (DOI): 10.22059/poll.2018.262786.483|
|A. H. Ali* 1؛ H. A. Al-Mussawy1؛ M. T. Ghazal1؛ N. J. Hamadi2|
|1Environmental Engineering Department, College of Engineering, Mustansiriyah University, Baghdad 10052, Iraq.|
|2Environmental Engineering Department, College of Engineering, Baghdad University, Baghdad 10071, Iraq.|
|This study carried out to investigate the production of hydrogen using the organic fraction of municipal solid waste OFMSW, where the anaerobic digester was depended as a method for disposing and treating OFMSW and producing bio-hydrogen. Bio-hydrogen production had been studied under different parameters including pH, solid content T.S%, temperature and mixing ratios between the thick sludge to OFMSW. The optimal conditions were found at pH, T.S%, temp and mix ratio of 7, 8%, 32oC, and 1:5, respectively where the hydrogen yield was (138.88 mL/gm vs). To found the most important parameters in this process, the ANN model had been applied. The effectiveness of temperature, total solid, mixing ratio and pH comes in the following sequence 100%, 75.8%, 71.9%, and 57.2% respectively, with R2 of 95.7%. Multiple correlation model was used to formulate an equation linked between the hydrogen production and the parameters effected on. Gompertz model was applied to compare between theoretical and experimental outcomes, it also given a mathematical equation with high correlation coefficient R2 of 99.95% where the theoretical bio-hydrogen was (141.76 mL/gm vs) under best conditions. The first order kinetic model was applied to evaluate the dynamics of the degradation process. The obtained negative value of (k = - 0.0886), indicates that, the solid waste biodegradation was fast and progresses in the right direction.|
|Anaerobic digestion؛ artificial neural network (ANN)؛ Multiple correlation؛ Gompertz model|
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