Evaporator Condensate and Caustic Extraction Liquor from a Pulp Factory Treated with an Anaerobic Process

1994 ◽  
Vol 29 (5-6) ◽  
pp. 399-407 ◽  
Author(s):  
B. Nilsson ◽  
O. Strand

Borregaard Industries Ltd, Norway, is a Ca-bisulphite based pulp manufacturer which has an interest in an anaerobic wastewater treatment process. At this pulp factory a combination of sulphite evaporator (SEC) and caustic extraction liquor (CEL) would eliminate the costs for neutralization chemicals in an anaerobic treatment process. The anaerobic process was also suitable because of the high concentration of organic compounds in CEL, the biogas production and the low sludge growth. Today a full-scale plant treating SEC in combination with CEL is in operation with a capacity to treat 60 tons of COD/d. All CEL qualities are treated anaerobically even those containing peroxide. The highest guaranteed AOX concentration in the CEL to be treated is 25 mg AOX/I. The experience from a 2-year pilot plant study has influenced the design of the full-scale plant. An adaption of the sludge to the CEL has to be performed due the toxic compounds in the CEL. The incoming wastewater to the full-scale plant has a composition of 50% COD from the SEC and 50% COD from the CEL. With an organic load of 40 tons COD/d, a SEC/CEL ratio of 51/49, the COD reduction is 65% and the gas yield 0.20 m3 CH4/kg COD added. This full-scale plant is unique due to the treatment of different CEL qualities and to the high combination of CEL.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Zehua Huang ◽  
Renren Wu ◽  
XiaoHui Yi ◽  
Hongbin Liu ◽  
Jiannan Cai ◽  
...  

The anaerobic treatment process is a complicated multivariable system that is nonlinear and time varying. Moreover, biogas production rates are an important indicator for reflecting operational performance of the anaerobic treatment system. In this work, a novel model fuzzy wavelet neural network based on the genetic algorithm (GA-FWNN) that combines the advantages of the genetic algorithm, fuzzy logic, neural network, and wavelet transform was established for prediction of effluent quality and biogas production rates in a full-scale anaerobic wastewater treatment process. Moreover, the dataset was preprocessed via a self-adapted fuzzy c-means clustering before training the network and a hybrid algorithm for acquiring the optimal parameters of the multiscale GA-FWNN for improving the network precision. The analysis results indicate that the FWNN with the optimal algorithm had a high speed of convergence and good quality of prediction, and the FWNN model was more advantageous than the traditional intelligent coupling models (NN, WNN, and FNN) in prediction accuracy and robustness. The determination coefficients R2 of the FWNN models for predicting both the effluent quality and biogas production rates were over 0.95. The proposed model can be used for analyzing both biogas (methane) production rates and effluent quality over the operational time period, which plays an important role in saving energy and eliminating pollutant discharge in the wastewater treatment system.



1989 ◽  
Vol 21 (4-5) ◽  
pp. 145-155 ◽  
Author(s):  
R. Méndez ◽  
J. M. Lema ◽  
R. Blázquez ◽  
M. Pan ◽  
C. Forjan

We have evaluated the utility of applying anaerobic digestion treatment to the leachates from two landfill sites receiving solid urban refuse from populations of similar standards of living. Both tips are located in the same area and have very similar climates, but they differ as regards the length of time they have been operated. The leachates from the older tip have much lower levels of organic load, 40% of which was refractory to the anaerobic digestion treatment applied. The digestibility of leachates was studied by using a semicontinuous suspended sludge system.It was possible to remove up to 65% of the soluble COD of leachates from the young tip by means of an anaerobic filter working at HRTs less than 2 days. This system proved to be highly stable when its operating conditions were subjected to perturbations similar to those likely to be suffered by a full-scale plant.



1986 ◽  
Vol 18 (12) ◽  
pp. 41-53 ◽  
Author(s):  
Look Hulshoff Pol ◽  
Gatze Lettinga

Presently anaerobic wastewater treatment is becoming an accepted simple technology for the treatment of a variety of wastewaters. Of the different treatment systems that have been developed the UASB process (Upflow Anaerobic Sludge Blanket) has found the widest application. Almost all of the more than 60 full scale UASB reactors in operation now, are running satisfactorily. The excellent sludge retention generally found in UASB-reactors is obtained by sludge granulation, which can be seen as a sludge immobilization process. The presently available insight into the sludge granulation process is briefly presented, together with the strategy to be applied for performing a proper first start-up and secondary start-up of UASB reactors, viz. using granular seed sludge. The effect of the presence of SS with regard to the loading potentials of anaerobic treatment systems will be discussed. The experiences obtained with some full scale applications of the UASB-process are presented.



2018 ◽  
Vol 34 (6) ◽  
pp. 3100-3105
Author(s):  
Nyimas Yanqoritha ◽  
Muhammad Turmuzi ◽  
Irvan Irvan ◽  
Fatimah Batubara ◽  
Ilmi Ilmi

Wastewater of tofu industry contains very high organic content, then anaerobic process is the most suitable for degrading this liquid waste. The hybrid upflow anaerobic sludge blanket reactor (HUASBR) was applied in this study because it has the advantage in ensuring good contact between biomass and substrate where a suspension medium and anaerobic filter are able to withstand more biomass in the attached media. Processing Anaerobic process is carried out with the help of bacteria where bacteria need seeding and acclimatization. Acclimatization is the process of adaptation of microorganisms to wastewater to be treated. This adaptation process is carried out by adding waste water from the smallest concentration to the actual concentration. The purpose of this study is to determine the effect of variations in organic load rate (OLR) on the acclimatization process in removing COD, biogas production in accordance with the pH of the anaerobic degradation process so that the optimal process of the acclimatization process can be obtained. In this study, the acclimatization process took 200 days with variation of OLR in the range of 1.5 - 5.9 kg COD m-3 d-1 at HRT 24 hours and flow rate up (Vup) of 0.08 m/h. The objective of OLR variation was to evaluate acclimatization process on the HUASBR performance during process optimization. The highest biogas production and removal efficiency of COD were achieved in pH range of 6.5 - 7.6. While, the highest COD removal efficiency obtained was 86.57% on the 140th day and biogas production 7700 ml for OLR 4.8 kg COD m-3d-1 at HRT 24 h. Consequently, the optimum OLR for treating the tofu wastewater could be achieved up to 4.8 kg COD m-3d-1 and HRT 24h.



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