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Enhanced Down-Stream Processing of Biobutanol in the ABE Fermentation Process

Costin Sorin Bildea

Anton A. Kiss
Butanol is considered a superior biofuel, as it is more energy dense and less hygroscopic than bioethanol, resulting in higher possible blending ratios with gasoline. However, the production cost of the acetone-butanol-ethanol (ABE) fermentation process is high, mainly due to the low butanol titer, yield, and productivity in bioprocesses. The classic recovery by distillation is an energy-intensive process that has largely restricted the economic production of biobutanol. Other methods based on gas stripping, liquid-liquid extraction, adsorption, and membranes are also energy intensive due to the bulk removal of water. This study proposes a novel process for the butanol recovery by enhanced distillation, using only several operating units in an optimized sequence to reduce costs. This work considers a plant capacity of 40 ktpy and purities of 99.4 %wt butanol, 99.4 %wt acetone and 91.4 %wt ethanol. The process was simulated and optimized using Aspen Plus as PSE tool. The enhanced process proposed here is cost effective and can be readily employed at large scale to improve the economics of biobutanol production.
- Universidad de Guanajuato Mexico
- University of Bucharest Romania
- AkzoNobel Netherlands
- Institute for Sustainable Process Technology Netherlands
- University of Twente Netherlands
distillation, Chemical Engineering(all), process simulation, energy efficiency, ABE fermentation, Computer Science Applications
distillation, Chemical Engineering(all), process simulation, energy efficiency, ABE fermentation, Computer Science Applications
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).13 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
