Application of hybrid multi-criteria decision-making approach to analyze wastewater microalgae culture systems for bioenergy production

被引:4
|
作者
Liu, Weixing [1 ]
Liu, Aozhan [2 ]
Qin, Huan [3 ,4 ]
Yan, Yixin [2 ]
Fu, Dafang [2 ]
Singh, Rajendra Prasad [2 ]
机构
[1] Suzhou Univ Sci & Technol, Sch Civil Engn, Suzhou 215009, Peoples R China
[2] Southeast Univ, Sch Civil Engn, Nanjing 211189, Peoples R China
[3] Wuhan Univ Sci & Technol, Inst Visual Neurosci & Stem Cell Engn, Wuhan 430065, Peoples R China
[4] Wuhan Univ Sci & Technol, Coll Life Sci & Hlth, Wuhan 430065, Peoples R China
基金
中国博士后科学基金;
关键词
Microalgal biomass; Multi -criteria decision analysis; Entropy weight method; TOPSIS method; CRITIC method; Bioenergy production; STRAINS;
D O I
10.1016/j.envres.2024.119234
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:9
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