Modeling the process and costs of fuel ethanol production by the corn dry-grind process

Kwiatkowski, Jason; McAloon, Andrew J.; Taylor, Frank; Johnston, David B.

doi:10.1016/j.indcrop.2005.08.004

Cited by 417 publications

(344 citation statements)

References 4 publications

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“…Table 3 summarizes these comparisons. The studies by McAloon et al (2000), and Kwiatkowski et al (2006) are original process engineering economic studies. They reveal a considerable improvement in plant efficiency between 2000 and 2006, at least as that is understood from the engineering economic perspective.…”

Section: Technical Efficiencies Of Surveyed Plants Versus Previous Esmentioning

confidence: 99%

“…As with technical efficiencies, we compared the average costs from our survey to some previously published estimates, namely those of Shapouri and Gallagher (2005), Kwiatkowski et al (2006), Eidman (2007), and Plevin and Mueller (2008, cit-ing the spreadsheet program, BEACCON). The results of this comparison are shown in Table 5.…”

Section: Reported Costs Of Surveyed Plants Versus Previous Estimatesmentioning

confidence: 99%

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Efficiency in Midwest US corn ethanol plants: A plant survey

2009

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Section: Technical Efficiencies Of Surveyed Plants Versus Previous Esmentioning

confidence: 99%

Section: Reported Costs Of Surveyed Plants Versus Previous Estimatesmentioning

confidence: 99%

Efficiency in Midwest US corn ethanol plants: A plant survey

2009

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“…In distillation, the mixture was heated to boiling (78.4 ºC) and the vapors were cooled until condensation. Based on the quantification of distilled ethanol, ethanol yield was determined for each tonne of maize grains (KWIATKOWSKI et al, 2006).…”

Section: Methodsmentioning

confidence: 99%

Drying and storage of corn grains for ethanol production in Brazil

et al. 2016

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ABSTRACT:The aim of the present research was to evaluate the effects of drying air temperature and storage conditions used in Brazil on the quality of corn grains (Zea mays L.) for ethanol production. The experiment was set up in a completely randomized design in a (3x2x2) factorial arrangement (drying air temperatures of 80, 100 and 120 ºC vs. ambient storage conditions of 23 ºC / 60% RH and cooled to 10 ºC / 40% RH vs. storage time of zero and six months). The corn grains were harvested with a water content of 18.0% (w.b.). Then, they were dried in a convection/forced-air oven at different temperatures, until water content reached 12% (w.b.). After that, the grains were stored. It was concluded that the increase in drying air temperature reduced lipid content and starch percentage, decreasing ethanol yield to 38.74 L ton -1 of grains. Storage under refrigeration at 10 °C was favorable for the maintenance of lipid levels (+2%), starch percentage (6%) and ethanol yield (33 L ton -1 of grains). Thus, considering production conditions and weather in Brazil, grains should be dried at air temperatures up to 80 °C, and storage must be performed under refrigerated air up to 10 °C for quality assurance of maize grains in the dry season and, therefore, increased ethanol production in the industry.

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“…The bio-butanol production process is simulated by using the Aspen Plus ® model. We approximated the other process steps (grain feed handling, cooking, and DDGS drying) on the basis of a corn dry mill cost model from USDA (Kwiatkowski et al 2006;McAloon 2006) and results from a recent study (Mueller and Cuttia 2006). Data from these sources and Aspen Plus ® simulations were then integrated and scaled to obtain the entire bio-butanol plant mass and energy flow.…”

Section: Analysis Casesmentioning

confidence: 99%

“…The study examined corn-based butanol used as 10% butanol in a gasoline blend to fuel light-duty vehicles. Simulation results for fuel ethanol produced from corn via dry milling, such as those obtained by using USDA's dry mill model (Kwiatkowski et al 2006;McAloon 2006) -based multidimensional spreadsheet model that addresses the well-to-wheels (WTW) analytical challenges associated with transportation fuels (including ethanol) and vehicle technologies. The latest version -GREET 1.7 -is capable of analyzing more than 100 transportation fuel pathways and 75 vehicle/fuel systems (Brinkman et al 2005).…”

Section: Introductionmentioning

confidence: 99%