scholarly journals Assessing the potential of facile biofuel production from corn stover using attrition mill treatment

2019 ◽  
Vol 2 (1) ◽  
pp. 46-49
Author(s):  
Yang Mo Gu ◽  
Ha Ram Byun ◽  
Yang-Hoon Kim ◽  
Dae-Young Park ◽  
Jin Hyung Lee
BioResources ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. 8662-8676
Author(s):  
Maria Mushtaq ◽  
Muhammad Javaid Asad ◽  
Muhammad Zeeshan Hyder ◽  
Syed Muhammad Saqlan Naqvi ◽  
Saad Imran Malik ◽  
...  

Utilization of biomass for production of second generation bioethanol was considered as a way to reduce burdens of fossil fuel in Pakistan. The materials wheat straw, rice straw, cotton stalk, corn stover, and peel wastes were used in this experiment. Various parameters, such as acidic and alkali pretreatment, enzymatic hydrolysis by cellulases, and effect of proteases inhibitors on ethanol production, were examined. Fermentation was completed by the yeasts Saccharomyces cerevisiae and Clostridium thermocellum separately, and their ethanol production were compared and maximum ethanol yield was obtained with wheat straw i.e.,11.3 g/L by S. cerevisiae and 8.5 g/L by C. thermocellum. Results indicated that a higher quantity of sugar was obtained from wheat straw (19.6 ± 1.6 g/L) followed by rice straw (17.6 ± 0.6 g/L) and corn stover (16.1 ± 0.9 g/L) compared to the other evaluated biomass samples. A higher yield of ethanol (11.3 g/L) was observed when a glucose concentration of 21.7 g/L was used, for which yeast fermentation efficiency was 92%. Results also revealed the increased in ethanol production (93%) by using celluases in combination with recombinant Serine protease inhibitors from C. thermocellum. It is expected that the use of recombinant serpins with cellulases will play a major role in the biofuel production by using agricultural biomass. This will also help in the economics of the biofuel.


2012 ◽  
Vol 47 ◽  
pp. 372-386 ◽  
Author(s):  
Zhengxi Tan ◽  
Shuguang Liu ◽  
Norman Bliss ◽  
Larry L. Tieszen

Fuel ◽  
2016 ◽  
Vol 168 ◽  
pp. 1-6 ◽  
Author(s):  
Zhengbo Yue ◽  
Ding Ma ◽  
Shuchuan Peng ◽  
Xiang Zhao ◽  
Tianhu Chen ◽  
...  

2017 ◽  
Vol 4 (4) ◽  
pp. 721-729 ◽  
Author(s):  
Jonathan Ranisau ◽  
Emmanuel Ogbe ◽  
Aaron Trainor ◽  
Mohammed Barbouti ◽  
Mohamed Elsholkami ◽  
...  

2014 ◽  
Vol 108 ◽  
pp. 248-253 ◽  
Author(s):  
Shoujie Ren ◽  
Hanwu Lei ◽  
Lu Wang ◽  
Gayatri Yadavalli ◽  
Yupeng Liu ◽  
...  

2021 ◽  
Vol 64 (1) ◽  
pp. 161-175
Author(s):  
Joshua J. Jackson ◽  
Michael D. Montross

HighlightsTotal transportation costs were reduced by 32% to 63% with distributed biobutanol depots.An 8 km distance to the depot manifested the most desirable transportation costs.Across regions, biomass transport costs from field to depot were similar at equivalent distances.Abstract. The transportation efficiencies of centralized biomass processing facilities were compared to a proposed distributed preprocessing network with centralized refining facilities. Centralized biomass processing was defined as transport of baled corn stover directly from the field to the refinery. Distributed preprocessing with centralized refining was defined as transport of baled corn stover from the field to a biobutanol preprocessing depot and transport of completely dewatered crude biobutanol solution from the depot to a centralized refinery. For both systems, the locations of the corn fields, as identified through the cropland data layer, and of the refinery were fixed. For the distributed system, the biobutanol depot locations were variable and depended on different maximum transport distances (8 to 80 km) from the field to the depot. In this case study, site-specific transportation costs and biobutanol production capacities were developed for different agricultural regions in Kentucky. The distributed system produced a 32% to 63% reduction in total transportation cost with decreased (50% to 90%) fuel use as compared to the centralized system. The GIS transportation model demonstrated that on-farm biofuel production could be an effective means of producing biofuel and reducing transportation costs. Keywords: Biomass transport, Depot, Distributed biomass collection, GIS location-allocation, Minimize facilities, Satellite facilities.


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