...
首页> 外文期刊>Energies >Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles
【24h】

Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles

机译:基于脂肪酸特性的燃料特性,用于生物柴油生产的微藻种类选择

获取原文
           

摘要

Physical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable for biodiesel characterization and species selection through Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) and Graphical Analysis for Interactive Assistance (GAIA) analysis. Fatty acid methyl ester (FAME) profiles were used to calculate the likely key chemical and physical properties of the biodiesel [cetane number (CN), iodine value (IV), cold filter plugging point, density, kinematic viscosity, higher heating value] of nine microalgal species (this study) and twelve species from the literature, selected for their suitability for cultivation in subtropical climates. An equal-parameter weighted (PROMETHEE-GAIA) ranked Nannochloropsis oculata, Extubocellulus sp. and Biddulphia sp. highest; the only species meeting the EN14214 and ASTM D6751-02 biodiesel standards, except for the double bond limit in the EN14214. Chlorella vulgaris outranked N. oculata when the twelve microalgae were included. Culture growth phase (stationary) and, to a lesser extent, nutrient provision affected CN and IV values of N. oculata due to lower eicosapentaenoic acid (EPA) contents. Application of a polyunsaturated fatty acid (PUFA) weighting to saturation led to a lower ranking of species exceeding the double bond EN14214 thresholds. In summary, CN, IV, C18:3 and double bond limits were the strongest drivers in equal biodiesel parameter-weighted PROMETHEE analysis.
机译:生物柴油的物理和化学性质受脂肪酸结构特征的影响,例如链长,不饱和度和碳链的分支。这项研究调查了微藻脂肪酸谱是否适用于生物柴油的表征和物种富集评估的偏好排序组织方法(PROMETHEE)和交互式协助图形分析(GAIA)分析的物种选择。脂肪酸甲酯(FAME)曲线用于计算生物柴油的可能的关键化学和物理性质[十六烷值(CN),碘值(IV),冷滤塞点,密度,运动粘度,较高的热值]。选择了九种微藻种(本研究)和文献中的十二种,以选择它们适合在亚热带气候中种植。等参加权(PROMETHEE-GAIA)排序的Nannochloropsis oculata,Extubocellulus sp。和Biddulphia sp。最高;除了EN14214中的双键限制外,唯一符合EN14214和ASTM D6751-02生物柴油标准的物种。当包含十二种微藻时,小球藻的排名超过了N. oculata。由于二十碳五烯酸(EPA)的含量较低,培养物的生长期(静止期)和养分供应在较小程度上影响了N. oculata的CN和IV值。将多不饱和脂肪酸(PUFA)权重应用到饱和度会导致超过双键EN14214阈值的物种排名降低。总之,在同等生物柴油参数加权的PROMETHEE分析中,CN,IV,C18:3和双键限制是最强的驱动力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号