Abstract：
Bioenergy generation from microalgae can significantly contribute to climate mitigation and renewable energy production. In this regard, several multi-criteria decision-making method were employed to prioritize appropriate microalgae culture system for bioenergy production. Entropy weight, Criteria Importance Through Intercriteria Correlation (CRITIC) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) were the employed MCDA method. Fourteen microalgae culture systems were selected as a case study, which contain teen monoculture and four dual-culture. Initially, through ans in-depth review of the literature and expert views, four categories total eight indicators were selected as the evaluation indices of the study, namely 1) Proliferation: Half growth cycle and Max growth rate,2) Biomass output: Bio-crude yield and Lipid yield, 3) Nutrient utilization: residual concentration of total Nitrogen and total Phosphorus, and, 4) Stability: coefficient of variation of Bio-crude yield and Lipid yield. The result indicated that \"Pediastrum sp. & Micractinium sp.\" was identified as the most bioenergy potential microalgae culture system, and the evaluation results of entropy weight method and CRITIC method are similar. It is pertinent to note that 1)the entropy weight method exhibits lower sample size requirements, 2) the critic method excels when dealing with larger sample sizes, and 3) the TOPSIS method necessitates the incorporation of appropriate weighting methods to ensure credible results. In the application stage, the key indicators related to cost can be further included in the evaluation indices.
摘要：
微藻产生的生物能源可以显著促进气候减缓和可再生能源生产。在这方面,采用了几种多准则决策方法来确定适合生物能源生产的微藻培养系统的优先级。熵权,采用的MCDA方法是通过标准间相关性（CRITIC）和通过与理想解决方案相似度的偏好顺序技术（TOPSIS）的标准重要性。选取了14个微藻培养系统作为案例研究，其中包含青少年单一文化和四种双重文化。最初，通过对文献和专家观点的深入审查，四类共8项指标作为本研究的评价指标,即1)增殖：半增长周期和最大增长率，2)生物质产量:生物原油产量和脂质产量,3)养分利用率:总氮、总磷的剩余浓度,and,4)稳定性:生物粗产量和脂质产量的变异系数。结果表明，“Pediastrumsp。&Micractiniumsp.“被确定为最具生物能源潜力的微藻培养系统，熵权法和CRITIC法的评价结果相似。值得注意的是，1)熵权法对样本量的要求较低，2)评论家方法在处理较大的样本量时表现出色，和3）TOPSIS方法需要结合适当的加权方法，以确保可靠的结果。在应用阶段,与成本相关的关键指标可以进一步纳入评价指标。
