Measuring the Importance of Decision-Making Criteria in Biofuel Production Technology Selection

被引:35
作者
Kheybari, Siamak [1 ]
Mahdi Rezaie, Fariba [1 ]
Rezaei, Jafar [2 ]
机构
[1] Ferdowsi Univ Mashhad, Dept Management, Mashhad 9177948974, Razavi Khorasan, Iran
[2] Delft Univ Technol, Fac Technol Policy & Management, NL-2628 BX Delft, Netherlands
关键词
Production; Biomass; Biofuels; Economics; Decision making; Fossil fuels; Best-worst method (BWM); biofuel production technology; biomass; renewable energy; sustainability assessment framework; RENEWABLE ENERGY TECHNOLOGIES; SUPPLIER SELECTION; LOGISTICS ISSUES; AIR-POLLUTION; BIOMASS; IRAN; SUSTAINABILITY; OPTIMIZATION; EFFICIENCY; MODEL;
D O I
10.1109/TEM.2019.2908037
中图分类号
F [经济];
学科分类号
02 ;
摘要
Environmental problems, combined with a finite supply of fossil fuels, have made the use of renewable energy sources necessary. Biomass is a renewable source of energy that has played a very important role in energy production in recent years. Because there are a number of technologies that can be used to convert biomass into energy, it is important to select the best option. The fact that multiple options are available that need to be evaluated based on a set of decision-making criteria makes this a multicriteria decision-making problem. This paper takes the first step in proposing an evaluation framework and identifying the importance of the relevant decision-making criteria in biofuel production technology selection. To determine the importance of the selection criteria, experts were asked to respond to an online questionnaire based on the best-worst method. The results indicate that air pollution, land use change, and human expertise are the three most important criteria for selecting the best biofuel production technology in our case country, Iran.
引用
收藏
页码:483 / 497
页数:15
相关论文
共 99 条
[1]   Sustainable energy planning decision using the intuitionistic fuzzy analytic hierarchy process: choosing energy technology in Malaysia [J].
Abdullah, Lazim ;
Najib, Liana .
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2016, 35 (04) :360-377
[2]   Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives [J].
Afsordegan, A. ;
Sanchez, M. ;
Agell, N. ;
Zahedi, S. ;
Cremades, L. V. .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2016, 13 (06) :1419-1432
[3]  
Ali G., 2010, WorldAcademy o fScience, Engineering and Technology, V64, P251
[4]   Selection of renewable energy technologies for a developing county: A case of Pakistan [J].
Amer, Muhammad ;
Daim, Tugrul U. .
ENERGY FOR SUSTAINABLE DEVELOPMENT, 2011, 15 (04) :420-435
[5]   Selection of lean manufacturing systems using the PROMETHEE [J].
Anand, G. ;
Kodali, Rambabu .
JOURNAL OF MODELLING IN MANAGEMENT, 2008, 3 (01) :40-70
[6]  
[Anonymous], 2013, RES J APPL SCI ENG T
[7]   Biodiesel production potential from edible oil seeds in Iran [J].
Ardebili, M. Safieddin ;
Ghobadian, B. ;
Najafi, G. ;
Chegeni, A. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2011, 15 (06) :3041-3044
[8]   Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective [J].
Ba, Birome Holo ;
Prins, Christian ;
Prodhon, Caroline .
RENEWABLE ENERGY, 2016, 87 :977-989
[9]   Current technologies for analysis of biomass thermochemical processing: A review [J].
Bahng, Mi-Kyung ;
Mukarakate, Calvin ;
Robichaud, David J. ;
Nimlos, Mark R. .
ANALYTICA CHIMICA ACTA, 2009, 651 (02) :117-138
[10]   Energy production trend in Iran and its effect on sustainable development [J].
Bakhoda, Hossein ;
Almassi, Morteza ;
Moharamnejad, Naser ;
Moghaddasi, Reza ;
Azkia, Mostafa .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (02) :1335-1339