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A decision model for prioritizing geographic regions for cellulosic renewable energy

Author

Listed:
  • Majid Azizi
  • Fatemeh Rahimi
  • Charles D. Ray
  • Mehdi Faezipour
  • Mosen Ziaie

Abstract

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.

Suggested Citation

  • Majid Azizi & Fatemeh Rahimi & Charles D. Ray & Mehdi Faezipour & Mosen Ziaie, 2016. "A decision model for prioritizing geographic regions for cellulosic renewable energy," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1249233-124, December.
    • Handle: RePEc:taf:oabmxx:v:3:y:2016:i:1:p:1249233
    DOI: 10.1080/23311975.2016.1249233
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    1. Zahir, Sajjad, 1999. "Geometry of decision making and the vector space formulation of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 112(2), pages 373-396, January.
    2. Saaty, Thomas L. & Cho, Yeonmin, 2001. "The decision by the US congress on China's trade status: a multicriteria analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(4), pages 243-252, December.
    3. Saaty, Thomas L., 2006. "Rank from comparisons and from ratings in the analytic hierarchy/network processes," European Journal of Operational Research, Elsevier, vol. 168(2), pages 557-570, January.
    4. Zahir, Sajjad, 1999. "Clusters in a group: Decision making in the vector space formulation of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 112(3), pages 620-634, February.
    5. Ray, Charles D. & Ma, Li & Wilson, Thomas & Wilson, Daniel & McCreery, Lew & Wiedenbeck, Janice K., 2014. "Biomass boiler conversion potential in the eastern United States," Renewable Energy, Elsevier, vol. 62(C), pages 439-453.
    6. Wang, Tsung-Cheng, 2012. "The interactive trade decision-making research: An application case of novel hybrid MCDM model," Economic Modelling, Elsevier, vol. 29(3), pages 926-935.
    7. Ulutaş, Berna Haktanırlar, 2005. "Determination of the appropriate energy policy for Turkey," Energy, Elsevier, vol. 30(7), pages 1146-1161.
    8. Chung, Shu-Hsing & Lee, Amy H. I. & Pearn, W. L., 2005. "Analytic network process (ANP) approach for product mix planning in semiconductor fabricator," International Journal of Production Economics, Elsevier, vol. 96(1), pages 15-36, April.
    9. Partovi, Fariborz Y., 2006. "An analytic model for locating facilities strategically," Omega, Elsevier, vol. 34(1), pages 41-55, January.
    10. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    11. Sayin, Cengiz & Nisa Mencet, M. & Ozkan, Burhan, 2005. "Assessing of energy policies based on Turkish agriculture:: current status and some implications," Energy Policy, Elsevier, vol. 33(18), pages 2361-2373, December.
    12. Konidari, Popi & Mavrakis, Dimitrios, 2007. "A multi-criteria evaluation method for climate change mitigation policy instruments," Energy Policy, Elsevier, vol. 35(12), pages 6235-6257, December.
    13. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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