IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v3y2016i1p1249233.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2016.1249233
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23311975.2016.1249233?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Ulutaş, Berna Haktanırlar, 2005. "Determination of the appropriate energy policy for Turkey," Energy, Elsevier, vol. 30(7), pages 1146-1161.
    3. 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.
    4. 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.
    5. Partovi, Fariborz Y., 2006. "An analytic model for locating facilities strategically," Omega, Elsevier, vol. 34(1), pages 41-55, January.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Azizi, Majid & Ray, Charles, 2015. "Introducing a status of access to raw material resources for manufacturers of cellulosic industries," Forest Policy and Economics, Elsevier, vol. 51(C), pages 17-28.
    2. Majid Azizi & Charles Ray, 2016. "Proposing a decision model for privatization of newsprint paper industry by applying ANP," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1197088-119, December.
    3. Büyüközkan, Gülçin & Güleryüz, Sezin, 2016. "An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey," International Journal of Production Economics, Elsevier, vol. 182(C), pages 435-448.
    4. Çelikbilek, Yakup & Tüysüz, Fatih, 2016. "An integrated grey based multi-criteria decision making approach for the evaluation of renewable energy sources," Energy, Elsevier, vol. 115(P1), pages 1246-1258.
    5. Aragonés-Beltrán, P. & Chaparro-González, F. & Pastor-Ferrando, J.P. & Rodríguez-Pozo, F., 2010. "An ANP-based approach for the selection of photovoltaic solar power plant investment projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 249-264, January.
    6. Sudhakar Yedla & Ram M. Shrestha, 2007. "Application of Analytic Hierarchy Process to Prioritize Urban Transport Options - Comparative Analysis of Group Aggregation Methods," Microeconomics Working Papers 22400, East Asian Bureau of Economic Research.
    7. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    8. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    9. Bolloju, N., 2001. "Aggregation of analytic hierarchy process models based on similarities in decision makers' preferences," European Journal of Operational Research, Elsevier, vol. 128(3), pages 499-508, February.
    10. Meng-Shiunn LEE, 2012. "Critical success factors influencing the transformation of the agricultural biotechnology industry in Taiwan," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 58(6), pages 249-263.
    11. Assoc. Prof.Dr Filloreta Madani & Bazini Evelina, 2021. "Development of the Life Insurance Market in Albania," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 3, May - Aug.
    12. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2014. "Identification and selection of potential sites for onshore wind farms development in Region of Murcia, Spain," Energy, Elsevier, vol. 73(C), pages 311-324.
    13. Xing Gao & Cheng Shi & Keyu Zhai, 2018. "An Evaluation of Environmental Governance in Urban China Based on a Hesitant Fuzzy Linguistic Analytic Network Process," IJERPH, MDPI, vol. 15(11), pages 1-20, November.
    14. Cortés-Aldana, Félix Antonio & García-Melón, Mónica & Fernández-de-Lucio, Ignacio & Aragonés-Beltrán, Pablo & Poveda-Bautista, Rocío, 2009. "University objectives and socioeconomic results: A multicriteria measuring of alignment," European Journal of Operational Research, Elsevier, vol. 199(3), pages 811-822, December.
    15. Gitinavard, Hossein & Mousavi, S. Meysam & Vahdani, Behnam, 2017. "Soft computing based on hierarchical evaluation approach and criteria interdependencies for energy decision-making problems: A case study," Energy, Elsevier, vol. 118(C), pages 556-577.
    16. Kirytopoulos, Konstantinos & Voulgaridou, Dimitra & Platis, Agapios & Leopoulos, Vrassidas, 2011. "An effective Markov based approach for calculating the Limit Matrix in the analytic network process," European Journal of Operational Research, Elsevier, vol. 214(1), pages 85-90, October.
    17. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    18. Esra Karaka & Ozan Veli Y ld ran, 2019. "Evaluation of Renewable Energy Alternatives for Turkey via Modified Fuzzy AHP," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 31-39.
    19. Govindan, Kannan & Shankar, Madan & Kannan, Devika, 2018. "Supplier selection based on corporate social responsibility practices," International Journal of Production Economics, Elsevier, vol. 200(C), pages 353-379.
    20. Büyüközkan, Gülçin & Güleryüz, Sezin, 2017. "Evaluation of Renewable Energy Resources in Turkey using an integrated MCDM approach with linguistic interval fuzzy preference relations," Energy, Elsevier, vol. 123(C), pages 149-163.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:oabmxx:v:3:y:2016:i:1:p:1249233. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://cogentoa.tandfonline.com/OABM20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.