PMID- 33513499
OWN - NLM
STAT- MEDLINE
DCOM- 20210318
LR  - 20210318
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 770
DP  - 2021 May 20
TI  - Hybrid multi-criteria decision-making approach to select appropriate biomass 
      resources for biofuel production.
PG  - 144449
LID - S0048-9697(20)37980-8 [pii]
LID - 10.1016/j.scitotenv.2020.144449 [doi]
AB  - Biofuel generation from local biomass resources can significantly contribute to 
      greenhouse gas mitigation and cleaner energy production. In this regard, a hybrid 
      Multi-Criteria Decision-Making (MCDM) approach was employed to prioritize 
      appropriate biomass resources for biofuel production. Technique for Order 
      Preference by Similarity to Ideal Solution (TOPSIS), Additive Ratio Assessment 
      (ARAS), and Weighted Aggregates Sum Product Assessment (WASPAS) were the employed 
      MCDM approaches. Subsequently, ranking aggregation methods, i.e., Borda, 
      Copeland, and Rank Mean, were applied to integrate the rankings obtained from the 
      MCDM approaches. Guilan province of Iran was selected as a case study based on 
      its promising potential for biofuel production from first-, second-, and 
      third-generation biofuel resources. Initially, through an in-depth review of the 
      literature and the use of academic professors' expert opinions, ten criteria were 
      selected as the evaluation indices of the study: 1) creating technical side jobs, 
      2) preserving non-renewable energy resources, 3) relative advantage of biofuel 
      production, 4) complexity of biofuel production process, 5) cost of the biomass 
      conversion process, 6) biomass reusability, 7) cost of biomass supply, 8) 
      environmental impacts of biomass accumulation, 9) adaptability of the biofuel 
      production process to the size of biomass production units and the attitude and 
      knowledge of the producers, and 10) energy self-sufficiency of the biomass 
      producer. Moreover, the 11 investigated potential sources of biofuel production 
      were rice, peanut, livestock and poultry wastes, rice waste, peanut waste, tea 
      residues and its processing wastes, olive residues and its processing wastes, 
      livestock and poultry slaughter and farm-raised fish wastes, municipal solid 
      waste and sewage, forest and wood farming wastes, algae and Azolla. The results 
      indicated that "municipal solid wastes and sewage", "forest and wood farming 
      wastes" and "livestock and poultry wastes" from the second-generation biofuels 
      were identified as the most important biomass resources in the studied area.
CI  - Copyright (c) 2021 Elsevier B.V. All rights reserved.
FAU - Firouzi, Saeed
AU  - Firouzi S
AD  - Department of Agronomy, College of Agriculture, Rasht Branch, Islamic Azad 
      University, Rasht, Iran. Electronic address: firoozi@iaurasht.ac.ir.
FAU - Allahyari, Mohammad Sadegh
AU  - Allahyari MS
AD  - Department of Agricultural Management, Rasht Branch, Islamic Azad University, 
      Rasht, Iran. Electronic address: allahyari@iaurasht.ac.ir.
FAU - Isazadeh, Mohammadreza
AU  - Isazadeh M
AD  - Department of Agricultural Management, Rasht Branch, Islamic Azad University, 
      Rasht, Iran.
FAU - Nikkhah, Amin
AU  - Nikkhah A
AD  - Department of Food Technology, Safety and Health, Faculty of Bioscience 
      Engineering, Ghent University, Coupure Links 653, 9000 Ghent, Belgium; Department 
      of Environmental Technology, Food Technology and Molecular Biotechnology, Ghent 
      University Global Campus, Incheon, South Korea. Electronic address: 
      amin.nikkhah@ugent.be.
FAU - Van Haute, Sam
AU  - Van Haute S
AD  - Department of Food Technology, Safety and Health, Faculty of Bioscience 
      Engineering, Ghent University, Coupure Links 653, 9000 Ghent, Belgium; Department 
      of Environmental Technology, Food Technology and Molecular Biotechnology, Ghent 
      University Global Campus, Incheon, South Korea.
LA  - eng
PT  - Journal Article
DEP - 20210118
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
RN  - 0 (Biofuels)
RN  - 0 (Greenhouse Gases)
RN  - 0 (Solid Waste)
SB  - IM
MH  - *Biofuels/analysis
MH  - Biomass
MH  - *Greenhouse Gases
MH  - Iran
MH  - Solid Waste
OTO - NOTNLM
OT  - Biofuel
OT  - Biomass
OT  - Renewable
OT  - Waste to energy
COIS- Declaration of competing interest
EDAT- 2021/01/30 06:00
MHDA- 2021/03/19 06:00
CRDT- 2021/01/29 20:08
PHST- 2020/06/03 00:00 [received]
PHST- 2020/12/03 00:00 [revised]
PHST- 2020/12/05 00:00 [accepted]
PHST- 2021/01/30 06:00 [pubmed]
PHST- 2021/03/19 06:00 [medline]
PHST- 2021/01/29 20:08 [entrez]
AID - S0048-9697(20)37980-8 [pii]
AID - 10.1016/j.scitotenv.2020.144449 [doi]
PST - ppublish
SO  - Sci Total Environ. 2021 May 20;770:144449. doi: 10.1016/j.scitotenv.2020.144449. 
      Epub 2021 Jan 18.