首页> 外文期刊>Energy >Optimal cultivation towards enhanced algae-biomass and lipid production using Dunaliella tertiolecta for biofuel application and potential CO_2 bio-fixation: Effect of nitrogen deficient fertilizer, light intensity, salinity and carbon supply strategy
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Optimal cultivation towards enhanced algae-biomass and lipid production using Dunaliella tertiolecta for biofuel application and potential CO_2 bio-fixation: Effect of nitrogen deficient fertilizer, light intensity, salinity and carbon supply strategy

机译:使用杜氏盐藻用于生物燃料和潜在的CO_2生物固定的最佳栽培,以提高藻类生物量和脂质产量:缺氮肥料,光强度,盐度和碳供应策略的影响

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Fertilizer assisted optimum culture medium was formulated to enhance the productivity of Dunaliella tertiolecta productivity for biofuel feedstock by selecting the appropriate environmental and nutrient parameters involving 100% CO2. The influences of NPK-fertilizer, NaCl and NaOH loading along with light intensity were investigated to maximize algae-biomass growth, lipid productivity and CO2 sequestration. Five-level and four-factor response surface method (RSM) was used for optimization. The optimum algal cultivation based on RSM technique was compared with simple genetic algorithm (SGA) technique and standard artificial seawater (ASW) based f/2 culture medium. Significant improvement in algae-biomass growth and lipid productivity was obtained along with the enhancement of CO2 sequestration using RSM- and SGA-oriented culture medium over standard ASW-based f/2 medium. Several multi-objective optimization problems involving conflicting objectives (algae-biomass growth, lipid productivity, CO2 sequestration and cultivation cost) were formulated and solved using the elitist non-dominated sorting genetic algorithm. The non-dominated Pareto-optimal solutions were obtained for all multi-objective optimization problem studied. The effects of fertilizer, NaCl and NaOH loading, light intensity and their interacting effects on algae-biomass growth, lipid productivity and CO2 sequestration were revealed successfully. Finally, volumetric mass transfer coefficient of CO2 was determined to link the operating variables with algae-biomass growth while cultivation. (C) 2018 Elsevier Ltd. All rights reserved.
机译:通过选择合适的环境和涉及100%CO2的营养参数,配制了肥料辅助的最佳培养基,以提高杜氏杜氏藻对生物燃料原料的生产率。研究了氮磷钾肥,氯化钠和氢氧化钠的添加量以及光强度的影响,以最大程度地提高藻类生物量的生长,脂质的生产力和二氧化碳的封存。采用五级四因素响应面法(RSM)进行优化。将基于RSM技术的最佳藻类培养与简单遗传算法(SGA)技术和基于标准人工海水(ASW)的f / 2培养基进行了比较。与标准的基于ASW的f / 2培养基相比,使用RSM和SGA导向的培养基提高了藻类生物量的生长和脂质生产率,并提高了CO2的封存水平。使用精英非支配排序遗传算法,提出并解决了涉及目标冲突(藻类生物量增长,脂质生产力,CO 2固存和培养成本)的多个多目标优化问题。针对所研究的所有多目标优化问题,获得了非支配的帕累托最优解。成功揭示了肥料,NaCl和NaOH的添加量,光照强度及其相互作用对藻类生物量生长,脂质生产力和CO 2固存的影响。最后,确定了二氧化碳的体积传质系数,以将操作变量与培养过程中藻类生物量的增长联系起来。 (C)2018 Elsevier Ltd.保留所有权利。

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