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Evaluating energy efficient strategies and product quality for distillers' dried grains with solubles (DDGS) in dry-grind ethanol plants

机译:评估干磨乙醇工厂中酒糟含可溶物(DDGS)的节能策略和产品质量

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摘要

The drying of distillers dried grains with solubles (DDGS), a coproduct of dry-grind corn processing to ethanol utilizes about 30% of the total energy required for the production of a liter of fuel ethanol. Therefore, improving DDGS drying energy efficiency could have significant impact on the economics of the dry-grind corn-to-ethanol process. Drying process improvements must take account into the effects of various drying strategies on the final quality of DDGS which is primarily utilized as a feed ingredient. Previous studies in the literature have shown that physical and chemical properties of DDGS vary according to the ratio of the two primarily feed streams, wet distillers grains (WDG) and condensed distillers solubles (CDS) which make up DDGS. Extensive research using plant-scale and bench-scale experiments have been conducted on the effect of process variables (ratios of WDG, CDS and DDGS add-back) during drying on the physical and chemical properties of DDGS. However, these investigations did not correlate the product characteristics data to drying efficiency. Additionally, it cannot be clearly determined from the literature on DDGS drying that processes used in the industry are optimized for both product quality and energy efficiency.;A bench-scale rotary drum dryer heated by an electrically powered heat gun was used to investigate the effects of WDG, CDS and add-back ratios on both energy efficiency, drying performance and DDGS physical and chemical properties. A two stage drying process with the bench-scale rotary dryer was used to simulate the drying of DDGS using ICM (ICM, Inc., Colwich, KS) dry-grind process technology for DDGS drying which uses two rotary drum dryers in series. Effects of drying process variables, CDS content (0, 10, 20 and 40% by mass) and percent DDGS add-back (0, 20, 40 and 60% by mass) on energy performance and product quality were determined. Sixteen different drying strategies based on drying process variable ratios were tested and the response variables were measured which included energy performance (specific power consumption, energy efficiency, drying efficiency, drying rate), physical properties [particle size distribution (PSD), geometric mean particle size (dwg), bulk density, tapped bulk density, true density, color, compressibility index (CI), Hausner ratio (HR)], and chemical properties [acid detergent fiber (ADF), neutral detergent fiber (NDF), oil, crude protein, starch, ash, etc]. The results of the bench-scale study were also compared with data from a previous plant-scale DDGS production process investigation that used similar drying strategies.;Results from the experiments indicated that among all 16 drying strategies, the 10% CDS content and 60% DDGS add-back strategy achieved the least specific power consumption (SPC) while the 40% CDS content and 20% DDGS add-back strategy had the highest SPC. The energy efficiency and drying efficiency of the bench-scale data in both drying stage I and drying stage II presented similar trends as process parameters changed. The highest energy and drying efficiencies were achieved in strategies with 10% CDS content while the lowest were in strategies with 40% CDS content. A comparison of the energy and drying efficiencies for the bench-scale strategies conducted in this study with those of similar plant-scale strategies from a previous study showed a similar trend in the data for drying stage 1, even though the actual numbers were quite different for the two experimental scales. On average, the energy and drying efficiencies for the bench-scale study was 40% less than the corresponding plant-scale strategy. CDS content had the most influence on the energy performance during DDGS drying, while percent DDGS add-back had more impact on the SPC given a constant CDS content level. By comparing both the physical properties, bulk density in particular which relates to logistics, and energy performance data, the drying strategy with 20% CDS and 60% add-back performed the best. Therefore, it is not surprising why this is the strategy used by ICM drying process technology for DDGS. The particle size (dwg) and particle size distribution (PSD) of DDGS varied with the drying strategies; by varying CDS content and percent DDGS add-back. It was determined that the percent DDGS add-back had no effect on either PSD or dgw. Under the same drying strategy, drying stage I always had a higher drying rate than stage II. Also, the drying curves under the same CDS content showed similar shapes.;As CDS content increased, the color of DDGS became darker; both DDGS bulk density and tapped bulk density increased. In addition, CI and HR values decreased, ADF and NDF contents decreased and oil and ash contents increased with increased CDS content. Changes in percent DDGS add-back had a negligible effect on the DDGS chemical composition. Overall, the physical and chemical composition analysis of DDGS for both bench-scale and plant-scale studies followed similar trends.
机译:酒糟用可溶物(DDGS)进行的酒糟的干燥,即干磨玉米加工成乙醇的副产品,其消耗的能源约占生产一升燃料乙醇所需的总能量的30%。因此,提高DDGS的干燥能效可能对干磨玉米制乙醇工艺的经济性产生重大影响。干燥工艺的改进必须考虑各种干燥策略对DDGS最终质量的影响,DDGS的最终质量主要用作饲料成分。文献中的先前研究表明,DDGS的物理和化学性质会根据构成DDGS的两种主要进料流,湿蒸馏酒糟(WDG)和浓缩蒸馏酒可溶物(CDS)的比率而变化。已经对干燥过程中工艺变量(WDG,CDS和DDGS添加的比率)对DDGS的物理和化学性质的影响进行了广泛的研究,使用工厂规模和基准规模的实验。但是,这些研究并未将产品特性数据与干燥效率相关联。此外,从DDGS干燥的文献中无法明确确定行业中使用的工艺已针对产品质量和能源效率进行了优化。;使用电动热风枪加热的台式旋转鼓式干燥机来研究其效果WDG,CDS和添加比例对能量效率,干燥性能以及DDGS物理和化学性能的影响。使用台式旋转干燥机的两阶段干燥过程用于模拟DDGS的干燥,该干燥过程使用ICM(ICM,Inc.,Colwich,KS)干磨工艺技术进行DDGS干燥,该技术使用两个串联的旋转鼓式干燥机。确定了干燥工艺变量,CDS含量(0、10、20和40质量%)和DDGS添加百分比(0、20、40和60质量%)对能量性能和产品质量的影响。测试了基于干燥过程变量比率的十六种不同干燥策略,并测量了响应变量,包括能量性能(比功率消耗,能量效率,干燥效率,干燥速率),物理性质[粒度分布(PSD),几何平均颗粒尺寸(dwg),堆积密度,堆积堆积密度,真实密度,颜色,可压缩指数(CI),Hausner比(HR)]和化学性质[酸性洗涤剂纤维(ADF),中性洗涤剂纤维(NDF),油,粗蛋白,淀粉,灰分等]。基准规模研究的结果也与之前采用类似干燥策略的工厂规模DDGS生产过程调查的数据进行了比较;实验结果表明,在所有16种干燥策略中,CDS含量为10%,干燥策略为60% DDGS添加策略实现了最低的单位功耗(SPC),而40%的CDS含量和20%DDGS添加策略实现了最高的SPC。干燥阶段I和干燥阶段II的台式数据的能量效率和干燥效率随着工艺参数的变化呈现出相似的趋势。 CDS含量为10%的策略最高的能量和干燥效率,而CDS含量为40%的策略最低。本研究中进行的台式规模策略的能量和干燥效率与先前研究中类似的工厂规模策略的能量和干燥效率的比较显示,干燥阶段1的数据趋势相似,即使实际数字差异很大用于两个实验量表。平均而言,基准规模研究的能量和干燥效率比相应的工厂规模策略低40%。在恒定的CDS含量水平下,CDS含量对DDGS干燥过程中的能量性能影响最大,而DDGS添加百分比对SPC的影响更大。通过比较物理性能,特别是与物流相关的堆积密度和能源绩效数据,采用20%CDS和60%添加量的干燥策略效果最佳。因此,毫不奇怪,为什么这是ICM干燥工艺技术用于DDGS的策略。 DDGS的粒径(dwg)和粒径分布(PSD)随干燥策略的不同而变化。通过改变CDS含量和DDGS回填百分比。已确定DDGS添加百分比对PSD或dgw均无影响。在相同的干燥策略下,干燥阶段I始终比阶段II具有更高的干燥速率。同样,在相同的CDS含量下,干燥曲线显示出相似的形状。随着CDS含量的增加,DDGS的颜色变深。 DDGS堆积密度和堆积堆积密度均增加。另外,随着CDS含量的增加,CI和HR值降低,ADF和NDF含量降低,油和灰分含量增加。 DDGS添加百分比的变化对DDGS化学成分的影响可忽略不计。总体DDGS的物理和化学组成分析在实验室规模和工厂规模研究中都遵循相似的趋势。

著录项

  • 作者

    Lan, Tian.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Agricultural engineering.;Energy.
  • 学位 M.S.
  • 年度 2011
  • 页码 183 p.
  • 总页数 183
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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