Brewery production process is one of the biggest economical sources in Ethiopia, there are different brands in beer industry in the country, such as Dashen, Balageru, Heineken, and Habesha Brewery Company, in such factories the modern technology treatment was performed in Habesha brewery. All beer industrial processes require large amounts of water and produce significant amounts of wastewater. Cleaner production is having an impact on these industries and today they are looking forward to zero discharge. In Habesha brewery, the generation of wastewater is coming under all departments, such as from brew house, filtration utility, and packaging rooms. The composition of brewery waste water effluent was sulphate, H2S, CO2, sugar, and methane, etc. Habesha Brewery has given value highly the quality, taste, and drinkability of their beer. Production of methane from waste water during the treatment process was not applied in Habesha brewery industry due to the low treatment of methane and lack of technology to recover methane as an energy source. Through anaerobic digestion of organic waste materials provides an alternative environmentally friendly renewable energy. Methane production from digestion of brewery wastewater was improved using chemical methods, using aspen plus dynamics simulation the model of methane production recovery system was modelled, and brewery waste was taken into the reactor in its own behavior was evaluated under atmospheric conditions, 25°C, 30°C & at 1 atmosphere. For all substrates, total solids, biological oxygen demand, chemical oxygen demand, temperature, total nitrogen, total phosphorus, and pH were measured before and after digestion. Wastewater by volume was taken fully into the digester. All measured physico-chemical parameters of the sample substrate significantly varied before and after anaerobic digestion. Methane was measured for all samples periodically starting from the effluent was started. In all substrates. Assessment of cumulative methane production revealed that the substrate at a temperature 30°C, pH 6.5 (0.0013 hl /0.008 hL sample of waste water) and after 4 days sample 25°C, PH 7.5 (0.001625 hL/0.008 hL sample) showed the highest Methane production and the lowest was in the last day volume waste water, 35°C temperature and pH of 6 (0.00125 hL/0.008 hL sample of waste water). The results indicated that the methane amount was affected by H2S, CO2, sugar, and other behaviors of brewery waste water effluent during the digestion process.
| Published in | American Journal of Chemical Engineering (Volume 9, Issue 4) |
| DOI | 10.11648/j.ajche.20210904.13 |
| Page(s) | 91-100 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Temperature Behaviors, Dynamic Simulation, Waste Water, Methane, Hydrogen Sulfide
| [1] | Boulton, C. A. (2013). Developments in Brewery Fermentation Developments in Brewery Fermentation. 8725 (1991). https://doi.org/10.1080/02648725.1991.10647879 |
| [2] | François, J., Abdelouahed, L., Mauviel, G., Feidt, M., Rogaume, C., Mirgaux, O., … Dufour, A. (2012). Estimation of the Energy Efficiency of a Wood Gasification CHP Plant Using Aspen Plus. 29 (Ic), 769–774. https://doi.org/10.3303/CET1229129 |
| [3] | Korde, M. R., & Shahare, A. (2017). Design and Development of Simulation Model for Plant Layout. 3 (9), 446–449. |
| [4] | Lone, S. R., & Rather, M. A. (2015). Modeling and Simulation of a Distillation Column using ASPEN PLUS for separating methanol/water mixture. 6 (3), 619–627. |
| [5] | Lipták, B. (Ed.), Instrument Engineers’ Handbook, 4th ed., Vol. I: Process Measurement and Analysis; Vol. 2: Process Control, CRC Press, Boca Raton, FL, 2006a. |
| [6] | Materials, R. A. W., & Beer, F. O. R. (2009). 1. RAW MATERIALS FOR BEER PRODUCTION. 1–10. |
| [7] | Nabgan, W., Saeh, I., Amran, T., Abdullah, T., Nabgan, B., & Mat, R. (2016). Modelling and Thermodynamic Design of Bio-Ethanol Production Plant from Corn via Aspen Plus. 1 (1), 2015–2017. |
| [8] | Pagare, P., Sarawgi, P., & Pandey, R. (2018). Estimate the Potential of Energy Generation from Poultry Waste Litter Using Aspen Plus simulation Tool. 5 (4), 285–291. |
| [9] | Patil, K. D., & Kulkarni, B. D. (2010). Modeling and Simulation for Reactive Distillation Process using Aspen Plus ®. 30273497. |
| [10] | Phase, T., Network, P., Of, R., Hydro, K., Unit, D., & Patil, K. D. (2014). Mathematical Modeling and Simulation of Reactive Distillation Column using MATLAB and Aspen Plus ®. (August). |
| [11] | R. L. Espinoza, A. P. Steynberg, B. Jager, A. C. Vosloo, Appl. Catal., A 1999, 186, 13. |
| [12] | Sampath, U., Arachchige, P. R., & Christian, M. (2012). Aspen plus simulation of CO2 removal from coal and gas fired power plants. 23 (1876), 391–399. https://doi.org/10.1016/j.egypro.2012.06.060 |
| [13] | TEWES, F.; BOURY, F.; BENOIT, J. P. Biodegradable microspheres: Advances in production technology. In: BENITA, S. (Ed.). Microencapsulation: Methods and industrial applications. 2. Ed. New York: Taylor & Francis Group, LLC, 2006. P. 1-53. |
| [14] | Value, A. E., Economies, R., & Emissions, W. R. (2017). Capturing and Utilizing CO2 from Ethanol : Adding Economic Value and Jobs to Rural Economies and Communities While Reducing Emissions. (December). |
| [15] | Yoon K-H et al. Hybrid robust controller design for a two mass system with disturbance compensation. Proceedings of ICCAS 2008; 2008: 1367-1372. |
| [16] | Yi J, Dong B, Jin J, Dai X (2014) Effect of increasing total solids contents on anaerobic digestion of food waste under mesophilic con-ditions: performance and microbial characteristics analysis. PLoS ONE 9: e102548. https://doi.org/10.1371/journ al.pone.01025 48 |
| [17] | Yong Z, Dong Y, Zhang X, Tan T (2015) Anaerobic co-digestion of food waste and straw for biogas production. Renew Energy 78: 527–530. https://doi.org/10.1016/j.renen e.2015.01.033 |
| [18] | Yu D, Kurola JM, Lähde K, Sinkkonen A, Romants-chuk M (2014) Biogas production and methanogenic archaeal community in mesophilic and thermophilic anaerobic co-digestion processes. J Environ Manag 143: 54–60. https://doi.org/10.1016/j.jenvm an.2014.04.025 |
| [19] | Yu H, Wang Z, Wu Z, Zhu C (2016) Enhanced waste activated sludge digestion using a submerged anaerobic dynamic membrane bio-reactor: performance, sludge characteristics and microbial com-munity. Sci Rep 6: 20111. |
APA Style
Wondifraw Abate Abera. (2021). Dynamic Simulation and Modelling of Methane Production Process for Habesha Beer Waste Water Treatment Process Using Aspen Plus Software. American Journal of Chemical Engineering, 9(4), 91-100. https://doi.org/10.11648/j.ajche.20210904.13
ACS Style
Wondifraw Abate Abera. Dynamic Simulation and Modelling of Methane Production Process for Habesha Beer Waste Water Treatment Process Using Aspen Plus Software. Am. J. Chem. Eng. 2021, 9(4), 91-100. doi: 10.11648/j.ajche.20210904.13
AMA Style
Wondifraw Abate Abera. Dynamic Simulation and Modelling of Methane Production Process for Habesha Beer Waste Water Treatment Process Using Aspen Plus Software. Am J Chem Eng. 2021;9(4):91-100. doi: 10.11648/j.ajche.20210904.13
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ajche.20210904.13,
author = {Wondifraw Abate Abera},
title = {Dynamic Simulation and Modelling of Methane Production Process for Habesha Beer Waste Water Treatment Process Using Aspen Plus Software},
journal = {American Journal of Chemical Engineering},
volume = {9},
number = {4},
pages = {91-100},
doi = {10.11648/j.ajche.20210904.13},
url = {https://doi.org/10.11648/j.ajche.20210904.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajche.20210904.13},
abstract = {Brewery production process is one of the biggest economical sources in Ethiopia, there are different brands in beer industry in the country, such as Dashen, Balageru, Heineken, and Habesha Brewery Company, in such factories the modern technology treatment was performed in Habesha brewery. All beer industrial processes require large amounts of water and produce significant amounts of wastewater. Cleaner production is having an impact on these industries and today they are looking forward to zero discharge. In Habesha brewery, the generation of wastewater is coming under all departments, such as from brew house, filtration utility, and packaging rooms. The composition of brewery waste water effluent was sulphate, H2S, CO2, sugar, and methane, etc. Habesha Brewery has given value highly the quality, taste, and drinkability of their beer. Production of methane from waste water during the treatment process was not applied in Habesha brewery industry due to the low treatment of methane and lack of technology to recover methane as an energy source. Through anaerobic digestion of organic waste materials provides an alternative environmentally friendly renewable energy. Methane production from digestion of brewery wastewater was improved using chemical methods, using aspen plus dynamics simulation the model of methane production recovery system was modelled, and brewery waste was taken into the reactor in its own behavior was evaluated under atmospheric conditions, 25°C, 30°C & at 1 atmosphere. For all substrates, total solids, biological oxygen demand, chemical oxygen demand, temperature, total nitrogen, total phosphorus, and pH were measured before and after digestion. Wastewater by volume was taken fully into the digester. All measured physico-chemical parameters of the sample substrate significantly varied before and after anaerobic digestion. Methane was measured for all samples periodically starting from the effluent was started. In all substrates. Assessment of cumulative methane production revealed that the substrate at a temperature 30°C, pH 6.5 (0.0013 hl /0.008 hL sample of waste water) and after 4 days sample 25°C, PH 7.5 (0.001625 hL/0.008 hL sample) showed the highest Methane production and the lowest was in the last day volume waste water, 35°C temperature and pH of 6 (0.00125 hL/0.008 hL sample of waste water). The results indicated that the methane amount was affected by H2S, CO2, sugar, and other behaviors of brewery waste water effluent during the digestion process.},
year = {2021}
}
TY - JOUR T1 - Dynamic Simulation and Modelling of Methane Production Process for Habesha Beer Waste Water Treatment Process Using Aspen Plus Software AU - Wondifraw Abate Abera Y1 - 2021/08/18 PY - 2021 N1 - https://doi.org/10.11648/j.ajche.20210904.13 DO - 10.11648/j.ajche.20210904.13 T2 - American Journal of Chemical Engineering JF - American Journal of Chemical Engineering JO - American Journal of Chemical Engineering SP - 91 EP - 100 PB - Science Publishing Group SN - 2330-8613 UR - https://doi.org/10.11648/j.ajche.20210904.13 AB - Brewery production process is one of the biggest economical sources in Ethiopia, there are different brands in beer industry in the country, such as Dashen, Balageru, Heineken, and Habesha Brewery Company, in such factories the modern technology treatment was performed in Habesha brewery. All beer industrial processes require large amounts of water and produce significant amounts of wastewater. Cleaner production is having an impact on these industries and today they are looking forward to zero discharge. In Habesha brewery, the generation of wastewater is coming under all departments, such as from brew house, filtration utility, and packaging rooms. The composition of brewery waste water effluent was sulphate, H2S, CO2, sugar, and methane, etc. Habesha Brewery has given value highly the quality, taste, and drinkability of their beer. Production of methane from waste water during the treatment process was not applied in Habesha brewery industry due to the low treatment of methane and lack of technology to recover methane as an energy source. Through anaerobic digestion of organic waste materials provides an alternative environmentally friendly renewable energy. Methane production from digestion of brewery wastewater was improved using chemical methods, using aspen plus dynamics simulation the model of methane production recovery system was modelled, and brewery waste was taken into the reactor in its own behavior was evaluated under atmospheric conditions, 25°C, 30°C & at 1 atmosphere. For all substrates, total solids, biological oxygen demand, chemical oxygen demand, temperature, total nitrogen, total phosphorus, and pH were measured before and after digestion. Wastewater by volume was taken fully into the digester. All measured physico-chemical parameters of the sample substrate significantly varied before and after anaerobic digestion. Methane was measured for all samples periodically starting from the effluent was started. In all substrates. Assessment of cumulative methane production revealed that the substrate at a temperature 30°C, pH 6.5 (0.0013 hl /0.008 hL sample of waste water) and after 4 days sample 25°C, PH 7.5 (0.001625 hL/0.008 hL sample) showed the highest Methane production and the lowest was in the last day volume waste water, 35°C temperature and pH of 6 (0.00125 hL/0.008 hL sample of waste water). The results indicated that the methane amount was affected by H2S, CO2, sugar, and other behaviors of brewery waste water effluent during the digestion process. VL - 9 IS - 4 ER -
Information
Email: