A decision model for prioritizing geographic regions for cellulosic renewable energy

This paper proposes a decision model for prioritizing geographic provinces in Iran to produce renewable energy from cellulosic materials by applying the Analytic Network Process (ANP). Biomass (forest residues, agricultural waste and wood) is a cellulosic material that can be used to produce thermal...

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Autores principales:	Majid Azizi, Fatemeh Rahimi, Charles D. Ray, Mehdi Faezipour, Mosen Ziaie
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2016
Materias:	biomass renewable energy prioritizing anp benefits costs opportunities and risks Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/aff9bd13f053451c897df4cda48dad4a
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spelling	oai:doaj.org-article:aff9bd13f053451c897df4cda48dad4a2021-12-02T14:35:46ZA decision model for prioritizing geographic regions for cellulosic renewable energy2331-197510.1080/23311975.2016.1249233https://doaj.org/article/aff9bd13f053451c897df4cda48dad4a2016-12-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2016.1249233https://doaj.org/toc/2331-1975This paper proposes a decision model for prioritizing geographic provinces in Iran to produce renewable energy from cellulosic materials by applying the Analytic Network Process (ANP). Biomass (forest residues, agricultural waste and wood) is a cellulosic material that can be used to produce thermal energy, electricity, and transportation fuels. The abundance, renewability, versatility, and carbon-neutrality make biomass a suitable feedstock for energy applications, and as an alternative for fossil fuels. Nine provinces in Iran are considered as possible locations for establishing renewable energy units. The ANP is used to synthesize and analyze the model. In different situations, all the decisions were affected by external factors; hence, the value-weighted competency model (benefits, costs, opportunities and risks) is calculated in the first stage with the influence of external factors on the competency model. Hierarchical designs of decisions are made for each of the competencies and their subsets. Paired comparison matrices associated with the degree of importance of each of the competencies were achieved in the second stage. In the final stage, subsets of competencies’ weighting values and their sub-options are identified through combination of the competencies and the best location is obtained. Finally, a sensitivity analysis of the model is performed and evaluated.Majid AziziFatemeh RahimiCharles D. RayMehdi FaezipourMosen ZiaieTaylor & Francis Grouparticlebiomassrenewable energyprioritizinganpbenefitscostsopportunities and risksBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 3, Iss 1 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	biomass renewable energy prioritizing anp benefits costs opportunities and risks Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	biomass renewable energy prioritizing anp benefits costs opportunities and risks Business HF5001-6182 Management. Industrial management HD28-70 Majid Azizi Fatemeh Rahimi Charles D. Ray Mehdi Faezipour Mosen Ziaie A decision model for prioritizing geographic regions for cellulosic renewable energy
description	This paper proposes a decision model for prioritizing geographic provinces in Iran to produce renewable energy from cellulosic materials by applying the Analytic Network Process (ANP). Biomass (forest residues, agricultural waste and wood) is a cellulosic material that can be used to produce thermal energy, electricity, and transportation fuels. The abundance, renewability, versatility, and carbon-neutrality make biomass a suitable feedstock for energy applications, and as an alternative for fossil fuels. Nine provinces in Iran are considered as possible locations for establishing renewable energy units. The ANP is used to synthesize and analyze the model. In different situations, all the decisions were affected by external factors; hence, the value-weighted competency model (benefits, costs, opportunities and risks) is calculated in the first stage with the influence of external factors on the competency model. Hierarchical designs of decisions are made for each of the competencies and their subsets. Paired comparison matrices associated with the degree of importance of each of the competencies were achieved in the second stage. In the final stage, subsets of competencies’ weighting values and their sub-options are identified through combination of the competencies and the best location is obtained. Finally, a sensitivity analysis of the model is performed and evaluated.
format	article
author	Majid Azizi Fatemeh Rahimi Charles D. Ray Mehdi Faezipour Mosen Ziaie
author_facet	Majid Azizi Fatemeh Rahimi Charles D. Ray Mehdi Faezipour Mosen Ziaie
author_sort	Majid Azizi
title	A decision model for prioritizing geographic regions for cellulosic renewable energy
title_short	A decision model for prioritizing geographic regions for cellulosic renewable energy
title_full	A decision model for prioritizing geographic regions for cellulosic renewable energy
title_fullStr	A decision model for prioritizing geographic regions for cellulosic renewable energy
title_full_unstemmed	A decision model for prioritizing geographic regions for cellulosic renewable energy
title_sort	decision model for prioritizing geographic regions for cellulosic renewable energy
publisher	Taylor & Francis Group
publishDate	2016
url	https://doaj.org/article/aff9bd13f053451c897df4cda48dad4a
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A decision model for prioritizing geographic regions for cellulosic renewable energy

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