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基于響應(yīng)面法的秸稈與糞便聯(lián)合制氫預(yù)混工藝優(yōu)化
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國家自然科學(xué)基金資助項目(50976029);國家高技術(shù)研究發(fā)展計劃(863計劃)資助項目(2006AA05Z119、2012AA051502)


Optimization of Premixing Process of Joint Hydrogen Production by Straw and Manure Based on Response Surface Method
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    摘要:

    借助Design-Expert(version 8.0)軟件,采用Box-Benhnken試驗設(shè)計法及響應(yīng)面分析法,對食草性牲畜糞便與秸稈利用光合微生物進行聯(lián)合制氫的預(yù)混工藝進行優(yōu)化研究。設(shè)定三因素三水平的響應(yīng)面試驗,三因素為pH值、預(yù)混溫度、預(yù)混時間,響應(yīng)值為OD值,零點試驗進行3次。使用Design-Expert軟件對響應(yīng)面試驗數(shù)據(jù)進行回歸分析,結(jié)果表明,響應(yīng)面模型中二次方模型表達最準(zhǔn)確,三因素間存在顯著相關(guān)性,通過回歸方程的修正得到優(yōu)化后的預(yù)混工藝為:時間6.3d、pH值4.9、溫度48℃,預(yù)估計最大OD值為2.6968,預(yù)測值與驗證試驗平均值接近。

    Abstract:

    In order to optimize the premixing process of the herbivorous livestock manure and straw for joint photosynthetic microorganisms hydrogen production, the method of Box-Benhnken experimental design and response surface analysis were used with Design-Expert software. The response surface experiments contained three factors, such as pH value, premixed temperature and premixed time. Response value was OD value and zero point experiments proceed three times. The response surface experiment data were analyzed by Design-Expert software, and the results showed that the quadratic model was the most accurate expression. The three factors existed significant correlation. The premixing process was optimized by the amendment of the regression equation: time of 6.3d, the pH value of 4.9, temperature of 48℃, the estimated maximum OD value of 2.6968. The predicted value was closed to the average value of the validation test. The results provided a theoretical basis for the experimental study of photosynthetic microorganism hydrogen production.

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張志萍,周雪花,馮宜鵬,王艷錦,張全國.基于響應(yīng)面法的秸稈與糞便聯(lián)合制氫預(yù)混工藝優(yōu)化[J].農(nóng)業(yè)機械學(xué)報,2013,44(9):97-101. Zhang Zhiping, Zhou Xuehua, Feng Yipeng, Wang Yanjin, Zhang Quanguo. Optimization of Premixing Process of Joint Hydrogen Production by Straw and Manure Based on Response Surface Method[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(9):97-101.

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  • 在線發(fā)布日期: 2013-09-11
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