Volume 31, Issue 1 (IJIEPR 2020)                   IJIEPR 2020, 31(1): 51-61 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Omrani K, Safaei A S, Paydar M M, Nikzad M. Pretreatment process selection in a biofuel production line. IJIEPR 2020; 31 (1) :51-61
URL: http://ijiepr.iust.ac.ir/article-1-1010-en.html
Pretreatment process selection in a biofuel production line
Kosar Omrani1 , Abdul Sattar Safaei 2, Mohammad Mahdi Paydar1 , Maryam Nikzad1
1- Babol Noshirvani University of Technology
2- Babol Noshirvani University of Technology , s.safaei@nit.ac.ir
Abstract:   (3031 Views)
Regarding population growth and prompt development in developing countries, municipal solid waste management is always a great challenge for governments. Waste to energy conversion is an efficient approach with respect to overcoming not only the challenge of municipal solid waste management but also environmental challenges related to energy consumption like global warming and fossil fuel depletion. One of the substantial problems throughout the implementation of waste to energy approach is process selection. The selected process should be technically feasible and should have a high level of compliance with environmental standards. Owing to an inevitable significance of process selection, this paper focuses on defining the best process by relying on multi-criteria decision-making tools and network analytic process. Considering the effective parameters such as cost, efficiency in material diversity, productivity rate, energy consumption, pollutant emissions, toxic substances, and process time, the result indicates that the physico-chemical process is superior process for pretreatment of material.
Keywords: Biofuel, pretreatment, Multi-criteria decision making, Analytic network process, Municipal solid waste
Full-Text [PDF 447 kb]   (1194 Downloads)    
Type of Study: Research | Subject: Decision Analysis and Methods
Received: 2020/01/3 | Accepted: 2020/01/25 | Published: 2020/03/15
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.