scholarly journals Technical-economical analysis of anaerobic digestion process to produce clean energy

2021 ◽  
Vol 7 ◽  
pp. 247-253
Author(s):  
T.H. Chowdhury
2013 ◽  
Vol 1 (4) ◽  
pp. 360
Author(s):  
Tamer Coşkun

Büyükbaş hayvan atıkları, içeriğindeki yüksek katı madde, organik kirlilik ve patojen mikroorganizmalar sebebiyle halk sağlığı açısından olumsuz etkiler yapabilecek bir atıktır. Bu çalışmada havasız çürütme ile atıkların stabilize edilerek biyogaz elde edilmesi ve çürümüş atıkların toprakta doğal gübre olarak kullanılmasını içeren bir yönetim modeli uygulanmıştır. Bunun için pilot ölçekli bir havasız çürütme reaktörü işletilmiş ve çürümüş atıklar çeşitli dozlarda yonca, Macar fiğ ve arpa karışımı ile mısır silajı bitkilerinin ekildiği alanlarda doğal gübre olarak toprağa eklenmiştir. Havasız çürütme işleminde yarımcı materyal olarak mısır silajı da reaktöre beslenmiştir. Çalışma sonunda elde edilen sonuçlar ve literatür yardımıyla 1000 baş hayvan için kurulum ve işletme maliyetleri hesaplanmıştır. Kurulum maliyeti; elektrik üretim sisteminin kurulup kurulmaması açısından iki farklı değer olarak hesaplanmıştır. İşletme maliyetleri farklı tarla ürünleri ve yine elektrik sisteminin kurulup kurulmaması açılarından çeşitli durumlar için hesaplanmıştır. Sonuç olarak elde edilen en iyi sonuçlara göre; çürümüş atıklar Macar fiğ ve arpa karışımı bitkisinin ekiminde kullanıldığında kurulacak tesisin elektrik üretim sistemi de kurulduğunda 2,5 yılda, elektrik üretim sistemi kurulmadığında ise 2,1 yılda kendisini amorti ettiği bulunmuştur. The Economical Analysis of Cattle Manure Treatment by Anaerobic Digestion Process Cattle manure is a potential for causing detrimental effects on human health due to its high solid matter and pathogen microorganism content. In this study, it was aimed to achieve biogas production by stabilizing the waste using anaerobic digestion. Digested waste was utilized as natural fertilizer. For that reason, a pilot-scale anaerobic digestion tank was operated and digested wastes were added to soil in diverse dosages where alfalfa, the mixture of Hungarian vetch and barley and corn silage are planted. Corn silage was fed to the reactor as a supplementary material during anaerobic digestion process. Installation and operating costs are determined for 1,000 cattle by the results obtained and the literature datas. Installation cost was evaluated considering both installed electricity producted system and non-installed electricity producted system. As a result, according to best results, the system would pay for itself in 2. 5 years when electricity production system is installed while the system is not installed, the pay off would be realized in 2. 1 years for the mixture of Hungarian vetch and barley.


2005 ◽  
Vol 77 (4) ◽  
pp. 366-371 ◽  
Author(s):  
Panagiotis Elefsiniotis ◽  
David G Wareham ◽  
Marcus O Smith

1986 ◽  
Vol 18 (7-8) ◽  
pp. 239-248 ◽  
Author(s):  
Sung Ryong Ha ◽  
Dwang Ho Lee ◽  
Sang Eun Lee

Laboratory scale experiments were conducted to develop a mathematical model for the anaerobic digestion of a mixture of night soil and septic tank sludge. The optimum mixing ratio by volume between night soil and septic tank sludge was found to be 7:3. Due to the high solids content in the influent waste, mixed-liquor volatile suspended solids (MLVSS) was not considered to be a proper parameter for biomass concentration, therefore, the active biomass concentration was estimated based on deoxyribonucleic acid (DNA) concentration in the reactor. The weight ratio between acidogenic bacteria and methanogenic bacteria in the mixed culture of a well-operated anaerobic digester was approximately 3:2. The proposed model indicates that the amount of volatile acid produced and the gas production rate can be expressed as a function of hydraulic residence time (HRT). The kinetic constants of the two phases of the anaerobic digestion process were determined, and a computer was used to simulate results using the proposed model for the various operating parameters, such as BOD5 and volatile acid concentrations in effluent, biomass concentrations and gas production rates. These were consistent with the experimental data.


2020 ◽  
Vol 53 (2) ◽  
pp. 16840-16845
Author(s):  
Camilo Garcia-Tenorio ◽  
Mihaela Sbarciog ◽  
Eduardo Mojica-Nava ◽  
Alain Vande Wouwer

Chemosphere ◽  
2021 ◽  
pp. 130449
Author(s):  
Yiwei Liu ◽  
Xiang Li ◽  
Shaohua Wu ◽  
Zhao Tan ◽  
Chunping Yang

2012 ◽  
Vol 103 (1) ◽  
pp. 415-424 ◽  
Author(s):  
R. Uma Rani ◽  
S. Adish Kumar ◽  
S. Kaliappan ◽  
Ick-Tae Yeom ◽  
J. Rajesh Banu

Author(s):  
Miguel Casallas-Ojeda ◽  
Sully Meneses-Bejarano ◽  
Ronald Urueña-Argote ◽  
Luis Fernando Marmolejo-Rebellón ◽  
Patricia Torres-Lozada

2005 ◽  
Vol 52 (1-2) ◽  
pp. 419-426 ◽  
Author(s):  
C.A. Aceves-Lara ◽  
E. Aguilar-Garnica ◽  
V. Alcaraz-González ◽  
O. González-Reynoso ◽  
J.P. Steyer ◽  
...  

In this work, an optimization method is implemented in an anaerobic digestion model to estimate its kinetic parameters and yield coefficients. This method combines the use of advanced state estimation schemes and powerful nonlinear programming techniques to yield fast and accurate estimates of the aforementioned parameters. In this method, we first implement an asymptotic observer to provide estimates of the non-measured variables (such as biomass concentration) and good guesses for the initial conditions of the parameter estimation algorithm. These results are then used by the successive quadratic programming (SQP) technique to calculate the kinetic parameters and yield coefficients of the anaerobic digestion process. The model, provided with the estimated parameters, is tested with experimental data from a pilot-scale fixed bed reactor treating raw industrial wine distillery wastewater. It is shown that SQP reaches a fast and accurate estimation of the kinetic parameters despite highly noise corrupted experimental data and time varying inputs variables. A statistical analysis is also performed to validate the combined estimation method. Finally, a comparison between the proposed method and the traditional Marquardt technique shows that both yield similar results; however, the calculation time of the traditional technique is considerable higher than that of the proposed method.


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