Standard

Bioethanol facility location selection using best-worst method. / Kheybari, Siamak; Kazemi, Mostafa; Rezaei, Jafar.

In: Applied Energy, Vol. 242, 15.05.2019, p. 612-623.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

APA

Vancouver

Author

Kheybari, Siamak ; Kazemi, Mostafa ; Rezaei, Jafar. / Bioethanol facility location selection using best-worst method. In: Applied Energy. 2019 ; Vol. 242. pp. 612-623.

BibTeX

@article{530ddd1089b44845a7a66ac3080013a8,
title = "Bioethanol facility location selection using best-worst method",
abstract = "One of the major factors in the success of renewable energy is finding a proper location for production facilities. At a national level, different parts of a country (e.g. provinces) can be seen as alternatives that can be assessed based on a set of criteria, and ranking them to identify the best location. The focus in this paper is on identifying the best location for the production of bioethanol. After a comprehensive literature review, an evaluation framework is proposed based on the three dimensions of sustainability (economic, environmental and social). Using data provided by a sample of experts in a developing country – Iran – and applying the best-worst method (BWM), a number of decision-making criteria are evaluated. Performance data involving the various provinces of Iran are collected from different sources. The performance data and the weights identified through BWM are used to calculate an overall score for each province, which is then used to rank the provinces, with the province of Khuzestan (closely followed by Tehran) being identified as the most suitable province for bioethanol production in Iran.",
keywords = "Best worst method, Bioethanol, BWM, Facility location selection, Renewable energy, Sustainability",
author = "Siamak Kheybari and Mostafa Kazemi and Jafar Rezaei",
year = "2019",
month = "5",
day = "15",
doi = "10.1016/j.apenergy.2019.03.054",
language = "English",
volume = "242",
pages = "612--623",
journal = "Applied Energy",
issn = "0306-2619",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Bioethanol facility location selection using best-worst method

AU - Kheybari, Siamak

AU - Kazemi, Mostafa

AU - Rezaei, Jafar

PY - 2019/5/15

Y1 - 2019/5/15

N2 - One of the major factors in the success of renewable energy is finding a proper location for production facilities. At a national level, different parts of a country (e.g. provinces) can be seen as alternatives that can be assessed based on a set of criteria, and ranking them to identify the best location. The focus in this paper is on identifying the best location for the production of bioethanol. After a comprehensive literature review, an evaluation framework is proposed based on the three dimensions of sustainability (economic, environmental and social). Using data provided by a sample of experts in a developing country – Iran – and applying the best-worst method (BWM), a number of decision-making criteria are evaluated. Performance data involving the various provinces of Iran are collected from different sources. The performance data and the weights identified through BWM are used to calculate an overall score for each province, which is then used to rank the provinces, with the province of Khuzestan (closely followed by Tehran) being identified as the most suitable province for bioethanol production in Iran.

AB - One of the major factors in the success of renewable energy is finding a proper location for production facilities. At a national level, different parts of a country (e.g. provinces) can be seen as alternatives that can be assessed based on a set of criteria, and ranking them to identify the best location. The focus in this paper is on identifying the best location for the production of bioethanol. After a comprehensive literature review, an evaluation framework is proposed based on the three dimensions of sustainability (economic, environmental and social). Using data provided by a sample of experts in a developing country – Iran – and applying the best-worst method (BWM), a number of decision-making criteria are evaluated. Performance data involving the various provinces of Iran are collected from different sources. The performance data and the weights identified through BWM are used to calculate an overall score for each province, which is then used to rank the provinces, with the province of Khuzestan (closely followed by Tehran) being identified as the most suitable province for bioethanol production in Iran.

KW - Best worst method

KW - Bioethanol

KW - BWM

KW - Facility location selection

KW - Renewable energy

KW - Sustainability

UR - http://www.scopus.com/inward/record.url?scp=85063064343&partnerID=8YFLogxK

U2 - 10.1016/j.apenergy.2019.03.054

DO - 10.1016/j.apenergy.2019.03.054

M3 - Article

VL - 242

SP - 612

EP - 623

JO - Applied Energy

T2 - Applied Energy

JF - Applied Energy

SN - 0306-2619

ER -

ID: 52763985