Selection of Iron-based Additives for Enhanced Anaerobic Digestion of Sludge using the Multicriteria Decision-Making Approach

被引:3
|
作者
Ugwu, Samson [1 ]
Enweremadu, Christopher [2 ]
机构
[1] Univ Nigeria, Dept Agr & Bioresources Engn, Nsukka 410001, Nigeria
[2] Univ South Africa, Dept Mech Engn, Sci Campus, ZA-1709 Florida, South Africa
基金
芬兰科学院; 新加坡国家研究基金会;
关键词
Additives; entropy method; iron-based; MADM; TOPSIS; WASTE-ACTIVATED-SLUDGE; ZERO VALENT IRON; METHANE PRODUCTION; BIOGAS PRODUCTION; OXIDE NANOPARTICLES; FE3O4; NANOPARTICLES; FOOD WASTE; IMPACT; OPTIMIZATION; MECHANISMS;
D O I
10.2478/rtuect-2021-0031
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Enhancement of anaerobic digestion is vital for substrate solubilization and increased biogas production at a reduced cost. The use of several iron-based additives has proven effective in improving overall bio-digester performance during anaerobic digestion sludge. This study evaluates different iron-based additives for the selection of the best additive from the alternatives using a multi-attribute decision making (MADM) approach. The weights of the attributes were computed with the entropy weight technique and the ranking of the alternatives were performed using order preference by similarity to ideal solution (TOPSIS) method. Five attributes and thirteen frequently used alternatives were selected for evaluation. The result showed that additive cost and dosages were assigned the highest weight of 62.37 % and 27.46 %, respectively. Based on the performance scores of 99.15 %, 20 mg/L of Fe3O4 nanoparticles (Fe(3)O(4)NPs-20) ranked best (number 1) among considered alternatives for enhancement of anaerobic digestion of sludge. The outcome of this evaluation agrees with previous experimental results and suggests that the choice of an effective iron-based additive should be based on its biogas enhancement potential and cost-effectiveness (low dosage requirement and low price).
引用
收藏
页码:422 / 435
页数:14
相关论文
共 50 条
  • [1] A FUZZY MULTICRITERIA DECISION-MAKING APPROACH FOR ROBOT SELECTION
    LIANG, GS
    WANG, MJJ
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 1993, 10 (04) : 267 - 274
  • [2] Contractor Selection Using Multicriteria Decision-Making Methods
    Ramon San Cristobal, Jose
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2012, 138 (06) : 751 - 758
  • [3] Supplier selection using hybrid multicriteria decision-making methods
    Tusnial, Anirudh
    Sharma, Satyendra Kumar
    Dhingra, Parth
    Routroy, Srikanta
    INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT, 2021, 70 (06) : 1393 - 1418
  • [4] Selection of hydrothermal pre-treatment conditions of waste sludge destruction using multicriteria decision-making
    Khalil, WAS
    Shanableh, A
    Rigby, P
    Kokot, S
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2005, 75 (01) : 53 - 64
  • [5] COMPARATIVE STUDIES ON THE EFFECT OF SELECTED IRON-BASED ADDITIVES ON ANAEROBIC DIGESTION OF OKRA WASTE
    Ugwu, Samson N.
    Enweremadu, Christopher C.
    PROCEEDINGS OF THE ASME 13TH INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, 2019, 2019,
  • [6] Woven fabric selection and grading for ladies' winter shawls using multicriteria decision-making approach
    Yousaf, Faryal
    Sajjad, Shabana
    Tauqeer, Faiza
    Hussain, Tanveer
    Khattak, Shahnaz
    Iftikhar, Fatima
    RESEARCH JOURNAL OF TEXTILE AND APPAREL, 2024,
  • [7] Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence
    Hamurcu, Mustafa
    Eren, Tamer
    JOURNAL OF MATHEMATICS, 2020, 2020
  • [8] Typology Selection of Retaining Walls Based on Multicriteria Decision-Making Methods
    Munoz-Medina, Belen
    Ordonez, Javier
    Romana, Manuel G.
    Lara-Galera, Antonio
    APPLIED SCIENCES-BASEL, 2021, 11 (04): : 1 - 14
  • [9] Using the fuzzy majority approach for GIS-based multicriteria group decision-making
    Boroushaki, Soheil
    Malczewski, Jacek
    COMPUTERS & GEOSCIENCES, 2010, 36 (03) : 302 - 312
  • [10] Research Progress on the Efficiency and Mechanism of Iron-based Materials for Enhancing Anaerobic Digestion of Municipal Sludge
    Lü, Long-Yi
    Jin, Meng-Ting
    Wei, Zi-Yin
    Gao, Wen-Fang
    Sun, Li
    Huanjing Kexue/Environmental Science, 2024, 45 (11): : 6713 - 6722