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首页> 外文期刊>Waste and biomass valorization >The Determination of the Trace Element Effects on Basal Medium by Using the Statistical Optimization Approach for Biogas Production from Chicken Manure
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The Determination of the Trace Element Effects on Basal Medium by Using the Statistical Optimization Approach for Biogas Production from Chicken Manure

机译:统计优化法测定鸡粪沼气中微量元素对基础培养基的影响

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Apart from other operational parameters such as temperature, pH, organic loading rate, the availability and concentrations of trace elements seem to be crucial for the successful operation of biogas plants, especially for the anaerobic digestion of chicken manure. In this study, the optimum basal medium composition was designed by using Taguchi Statistical Analysis, and the effects of the main trace elements for anaerobic digestion were also determined. The L 27(3*13) Taguchi design was performed for three levels of 13 parameters. Biochemical Methane Potential (BMP) assay was used to determine the effect of the trace elements on the biogas production from chicken manure. 27 runs with two replicates were carried out over 140 days. The biogas production between 161 and 628 mL CH4/g dry matter was measured from the BMP tests. The statistical model was significant with R-2 = 0.9999 and the Fe, Ag Co, Mn, Mo, Se and W were suggested as the significant trace elements. A comparison study was performed with the optimum basal medium composition suggested by the Taguchi Statistical Analysis and Vanderbilt Media. The results were 188 and 140 mL CH4/g DM for the optimum medium composition and Vanderbilt media respectively. These results showed that the biogas production was enhanced by the optimum composition. Instead of time and material consuming factorial screening studies Taguchi Statistical Analysis is an effective alternative for trace element concentration of basal medium. This optimized basal medium composition can be used in laboratory scale or pilot scale experiments.
机译:除了其他操作参数(例如温度,pH,有机负载率)外,微量元素的有效性和浓度对于沼气厂的成功运行至关重要,尤其是对鸡粪的厌氧消化而言。在本研究中,使用田口统计分析法设计了最佳的基础培养基组成,并确定了主要微量元素对厌氧消化的影响。对三个级别的13个参数执行了L 27(3 * 13)Taguchi设计。生化甲烷潜力(BMP)测定法用于确定微量元素对鸡粪沼气生产的影响。在140天内进行了27次重复运行,重复两次。通过BMP测试测得的沼气产量为161至628 mL CH4 / g干物质。统计模型具有显着性,R-2 = 0.9999,建议使用Fe,Ag Co,Mn,Mo,Se和W作为重要的痕量元素。用Taguchi统计分析和Vanderbilt培养基建议的最佳基础培养基组成进行了比较研究。对于最佳培养基组成和范德比尔特培养基,结果分别为188和140 mL CH4 / g DM。这些结果表明,通过最佳组成可以提高沼气产量。 Taguchi统计分析代替了费时和费力的因子筛选研究,是基础培养基中微量元素浓度的有效替代方法。这种优化的基础培养基成分可用于实验室规模或中试规模的实验。

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