IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v190y2020ics0360544219320729.html
   My bibliography  Save this article

Multicriterial model for selecting a charcoal kiln

Author

Listed:
  • Zola, Fernanda Cavicchioli
  • Colmenero, João Carlos
  • Aragão, Franciely Velozo
  • Rodrigues, Thaisa
  • Junior, Aldo Braghini

Abstract

Finding renewable sources of energy is a burgeoning field of research and an important political challenge. Charcoal is the foremost important material to substitute coal. Up until now, not many studies have been conducted to assist decision-makers to select the proper kiln to produce charcoal. Herein, we present multiple criteria decision-making (MCDM) method to select a proper charcoal kiln by taking into consideration the industry’s know-how and needs. To solve this problem with the influence of the decision-maker, the Analytic Hierarchy Process (AHP) method was chosen to evaluate the criteria’s weight. Furthermore, to allow the decision-maker to analyze both, quantitative and qualitative criteria, the best alternative was chosen by using the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Finally, the proposed method allows the decision maker to play a crucial role in the process. Combined with the AHP, the fuzzy TOPSIS method made it possible to list the most suitable alternative within the considered industry conditions. Conclusively, the method generates different results for each case and each decision maker, showing itself to be a successful tool for the charcoal industry selects the best kiln, thus boosting the production of renewable energy.

Suggested Citation

  • Zola, Fernanda Cavicchioli & Colmenero, João Carlos & Aragão, Franciely Velozo & Rodrigues, Thaisa & Junior, Aldo Braghini, 2020. "Multicriterial model for selecting a charcoal kiln," Energy, Elsevier, vol. 190(C).
    • Handle: RePEc:eee:energy:v:190:y:2020:i:c:s0360544219320729
    DOI: 10.1016/j.energy.2019.116377
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219320729
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.116377?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. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Pinto, Raphael Guimarães D. & Szklo, Alexandre S. & Rathmann, Regis, 2018. "CO2 emissions mitigation strategy in the Brazilian iron and steel sector–From structural to intensity effects," Energy Policy, Elsevier, vol. 114(C), pages 380-393.
    3. Mousa, Elsayed & Wang, Chuan & Riesbeck, Johan & Larsson, Mikael, 2016. "Biomass applications in iron and steel industry: An overview of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1247-1266.
    4. Troncoso, Karin & Soares da Silva, Agnes, 2017. "LPG fuel subsidies in Latin America and the use of solid fuels to cook," Energy Policy, Elsevier, vol. 107(C), pages 188-196.
    5. Merigó, José M. & Palacios-Marqués, Daniel & Zeng, Shouzhen, 2016. "Subjective and objective information in linguistic multi-criteria group decision making," European Journal of Operational Research, Elsevier, vol. 248(2), pages 522-531.
    6. Chidumayo, Emmanuel N., 1993. "Zambian charcoal production," Energy Policy, Elsevier, vol. 21(5), pages 586-597, May.
    7. Peláez-Samaniego, M.R. & Garcia-Perez, M. & Cortez, L.B. & Rosillo-Calle, F. & Mesa, J., 2008. "Improvements of Brazilian carbonization industry as part of the creation of a global biomass economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(4), pages 1063-1086, May.
    8. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    9. Adam, J.C., 2009. "Improved and more environmentally friendly charcoal production system using a low-cost retort–kiln (Eco-charcoal)," Renewable Energy, Elsevier, vol. 34(8), pages 1923-1925.
    10. Coelho, Suani Teixeira & Sanches-Pereira, Alessandro & Tudeschini, Luís Gustavo & Goldemberg, José, 2018. "The energy transition history of fuelwood replacement for liquefied petroleum gas in Brazilian households from 1920 to 2016," Energy Policy, Elsevier, vol. 123(C), pages 41-52.
    11. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    12. Henriques Jr., Mauricio F. & Dantas, Fabrício & Schaeffer, Roberto, 2010. "Potential for reduction of CO2 emissions and a low-carbon scenario for the Brazilian industrial sector," Energy Policy, Elsevier, vol. 38(4), pages 1946-1961, April.
    13. Rodrigues, Thaisa & Braghini Junior, Aldo, 2019. "Technological prospecting in the production of charcoal: A patent study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 170-183.
    14. Wei, Rufei & Zhang, Lingling & Cang, Daqiang & Li, Jiaxin & Li, Xianwei & Xu, Chunbao Charles, 2017. "Current status and potential of biomass utilization in ferrous metallurgical industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 511-524.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Masala, Fabiana & Groppi, Daniele & Nastasi, Benedetto & Piras, Giuseppe & Astiaso Garcia, Davide, 2022. "Techno-economic analysis of biogas production and use scenarios in a small island energy system," Energy, Elsevier, vol. 258(C).
    2. Franciely Velozo Aragão & Daiane Maria de Genaro Chiroli & Fernanda Cavicchioli Zola & Emanuely Velozo Aragão & Luis Henrique Nogueira Marinho & Ana Lidia Cascales Correa & João Carlos Colmenero, 2023. "Smart Cities Maturity Model—A Multicriteria Approach," Sustainability, MDPI, vol. 15(8), pages 1-20, April.

    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. Antão Rodrigo Valentim & Jhon Ramírez Behainne & Aldo Braghini Junior, 2022. "Thermal Performance Analysis of Materials and Configurations for Cylindrical Sidewalls of Charcoal Kilns," Energies, MDPI, vol. 15(16), pages 1-21, August.
    2. Meng, Fan & Rong, Guoqiang & Zhao, Ruiji & Chen, Bo & Xu, Xiaoyun & Qiu, Hao & Cao, Xinde & Zhao, Ling, 2024. "Incorporating biochar into fuels system of iron and steel industry: carbon emission reduction potential and economic analysis," Applied Energy, Elsevier, vol. 356(C).
    3. Suopajärvi, Hannu & Umeki, Kentaro & Mousa, Elsayed & Hedayati, Ali & Romar, Henrik & Kemppainen, Antti & Wang, Chuan & Phounglamcheik, Aekjuthon & Tuomikoski, Sari & Norberg, Nicklas & Andefors, Alf , 2018. "Use of biomass in integrated steelmaking – Status quo, future needs and comparison to other low-CO2 steel production technologies," Applied Energy, Elsevier, vol. 213(C), pages 384-407.
    4. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    5. Kun Chen & Gang Kou & J. Michael Tarn & Yan Song, 2015. "Bridging the gap between missing and inconsistent values in eliciting preference from pairwise comparison matrices," Annals of Operations Research, Springer, vol. 235(1), pages 155-175, December.
    6. 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.
    7. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    8. Fabio Blanco-Mesa & Anna M. Gil-Lafuente & José M. Merigó, 2018. "Subjective stakeholder dynamics relationships treatment: a methodological approach using fuzzy decision-making," Computational and Mathematical Organization Theory, Springer, vol. 24(4), pages 441-472, December.
    9. A. Nureize & J. Watada & S. Wang, 2014. "Fuzzy random regression based multi-attribute evaluation and its application to oil palm fruit grading," Annals of Operations Research, Springer, vol. 219(1), pages 299-315, August.
    10. József Temesi, 2019. "An interactive approach to determine the elements of a pairwise comparison matrix," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(2), pages 533-549, June.
    11. Zhu, Bin & Xu, Zeshui & Zhang, Ren & Hong, Mei, 2016. "Hesitant analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 250(2), pages 602-614.
    12. AlSabbagh, Maha & Siu, Yim Ling & Guehnemann, Astrid & Barrett, John, 2017. "Integrated approach to the assessment of CO2e-mitigation measures for the road passenger transport sector in Bahrain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 203-215.
    13. Daji Ergu & Gang Kou, 2012. "Questionnaire design improvement and missing item scores estimation for rapid and efficient decision making," Annals of Operations Research, Springer, vol. 197(1), pages 5-23, August.
    14. Tseng, Fang-Mei & Chiu, Yu-Jing & Chen, Ja-Shen, 2009. "Measuring business performance in the high-tech manufacturing industry: A case study of Taiwan's large-sized TFT-LCD panel companies," Omega, Elsevier, vol. 37(3), pages 686-697, June.
    15. Wu, Zhibin & Huang, Shuai & Xu, Jiuping, 2019. "Multi-stage optimization models for individual consistency and group consensus with preference relations," European Journal of Operational Research, Elsevier, vol. 275(1), pages 182-194.
    16. Chen, Qianqian & Gu, Yu & Tang, Zhiyong & Wei, Wei & Sun, Yuhan, 2018. "Assessment of low-carbon iron and steel production with CO2 recycling and utilization technologies: A case study in China," Applied Energy, Elsevier, vol. 220(C), pages 192-207.
    17. Mohamed Hanine & Omar Boutkhoum & Abderrafie El Maknissi & Abdessadek Tikniouine & Tarik Agouti, 2016. "Decision making under uncertainty using PEES–fuzzy AHP–fuzzy TOPSIS methodology for landfill location selection," Environment Systems and Decisions, Springer, vol. 36(4), pages 351-367, December.
    18. Jha, Gaurav & Soren, S., 2017. "Study on applicability of biomass in iron ore sintering process," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 399-407.
    19. Amelia Bilbao-Terol & Mar Arenas-Parra & Raquel Quiroga-García & Celia Bilbao-Terol, 2022. "An extended best–worst multiple reference point method: application in the assessment of non-life insurance companies," Operational Research, Springer, vol. 22(5), pages 5323-5362, November.
    20. Dong, Yucheng & Xu, Yinfeng & Li, Hongyi & Dai, Min, 2008. "A comparative study of the numerical scales and the prioritization methods in AHP," European Journal of Operational Research, Elsevier, vol. 186(1), pages 229-242, April.

    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:eee:energy:v:190:y:2020:i:c:s0360544219320729. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.