IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13418-d946108.html
   My bibliography  Save this article

Feasibility Analysis of Biogas Production by Using GIS and Multicriteria Decision Aid Methods in the Central African Republic

Author

Listed:
  • Francis Auguste Fleury Junior Dima

    (School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, International Science and Technology Cooperation Base for Environmental and Energy Technology of MOST, Beijing 100083, China
    Nanjing Academy of Resources and Ecology Sciences, Jiangbeixinqu, Nanjing 211500, China)

  • Zifu Li

    (School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, International Science and Technology Cooperation Base for Environmental and Energy Technology of MOST, Beijing 100083, China
    Nanjing Academy of Resources and Ecology Sciences, Jiangbeixinqu, Nanjing 211500, China)

  • Heinz-Peter Mang

    (School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, International Science and Technology Cooperation Base for Environmental and Energy Technology of MOST, Beijing 100083, China)

  • Lixin Zhu

    (Nanjing Academy of Resources and Ecology Sciences, Jiangbeixinqu, Nanjing 211500, China)

Abstract

Organic waste-derived biogas production is an effective way to transform biowaste into renewable energy for the electricity supply in developed and developing countries. This study analyzes the feasibility of biogas production as a solution to waste management and electricity supply in Bangui, the capital city of the Central African Republic. The selection of the biogas plant site in an urban area is a complex process due to the area availability and different factors. The GIS, combined with the MCDA, could analyze the environmental, social, and economic factors and criteria such as slope, settlement, rivers, land, urban growth, and local and major roads. Applying the ELECTRE TRI as the MCDA method enhanced the techniques to determine the suitable biogas plant site. The biowaste amount and distance from the suitable site were determined using the ArcGIS distance toolset. The biogas plant’s economic and environmental benefits, such as the electricity production capacity and CO 2 reduction, were analyzed based on the population growth and the biogas production per year. The analyzed results obtain an area of 3.5 km 2 for a large-scale biogas plant construction, with a potential production of 2,126,799.68 kW per year using combined heat and power and 2,303,100.23 kW by converting the thermal energy to electricity. This large-scale biogas plant could treat 20% of the organic waste per year, cover 60% of the city’s electricity demand, and reduce 946,200 kg of CO 2 equivalent per year.

Suggested Citation

  • Francis Auguste Fleury Junior Dima & Zifu Li & Heinz-Peter Mang & Lixin Zhu, 2022. "Feasibility Analysis of Biogas Production by Using GIS and Multicriteria Decision Aid Methods in the Central African Republic," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13418-:d:946108
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13418/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/13418/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tricase, C. & Lombardi, M., 2009. "State of the art and prospects of Italian biogas production from animal sewage: Technical-economic considerations," Renewable Energy, Elsevier, vol. 34(3), pages 477-485.
    2. Madlener, Reinhard & Antunes, Carlos Henggeler & Dias, Luis C., 2009. "Assessing the performance of biogas plants with multi-criteria and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1084-1094, September.
    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. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    2. Nakamoto, Yuya & Eguchi, Shogo & Takayabu, Hirotaka, 2024. "Efficiency and benchmarks for photovoltaic power generation amid uncertain conditions," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    3. Karasakal, Esra & Aker, Pınar, 2017. "A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem," Omega, Elsevier, vol. 73(C), pages 79-92.
    4. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    5. Talibi, Midhat & Hellier, Paul & Ladommatos, Nicos, 2017. "Combustion and exhaust emission characteristics, and in-cylinder gas composition, of hydrogen enriched biogas mixtures in a diesel engine," Energy, Elsevier, vol. 124(C), pages 397-412.
    6. Andreas Eder & Bernhard Mahlberg, 2018. "Size, Subsidies and Technical Efficiency in Renewable Energy Production: The Case of Austrian Biogas Plants," The Energy Journal, , vol. 39(1), pages 185-210, January.
    7. Mariarosaria Lombardi & Marco Costantino, 2021. "A Hierarchical Pyramid for Food Waste Based on a Social Innovation Perspective," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    8. De Clercq, Djavan & Wen, Zongguo & Caicedo, Luis & Cao, Xin & Fan, Fei & Xu, Ruifei, 2017. "Application of DEA and statistical inference to model the determinants of biomethane production efficiency: A case study in south China," Applied Energy, Elsevier, vol. 205(C), pages 1231-1243.
    9. Oniszk-Popławska, Anna & Matyka, Mariusz & Ryńska, Elżbieta Dagny, 2014. "Evaluation of a long-term potential for the development of agricultural biogas plants: A case study for the Lubelskie Province, Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 329-349.
    10. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    11. Strzalka, Rafal & Schneider, Dietrich & Eicker, Ursula, 2017. "Current status of bioenergy technologies in Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 801-820.
    12. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    13. Andreas Eder & Bernhard Mahlberg & Bernhard Stürmer, 2021. "Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 37-63, February.
    14. Nogueira, Carlos Eduardo Camargo & de Souza, Samuel Nelson Melegari & Micuanski, Viviane Cavaler & Azevedo, Ricardo Lessa, 2015. "Exploring possibilities of energy insertion from vinasse biogas in the energy matrix of Paraná State, Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 300-305.
    15. Doukas, Haris, 2013. "Modelling of linguistic variables in multicriteria energy policy support," European Journal of Operational Research, Elsevier, vol. 227(2), pages 227-238.
    16. Zubaryeva, Alyona & Zaccarelli, Nicola & Del Giudice, Cecilia & Zurlini, Giovanni, 2012. "Spatially explicit assessment of local biomass availability for distributed biogas production via anaerobic co-digestion – Mediterranean case study," Renewable Energy, Elsevier, vol. 39(1), pages 261-270.
    17. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
    18. Debdip Khan & Ranjan Kumar Gupta, 2024. "Production optimization with the maintenance of environmental sustainability based on multi-criteria decision analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19425-19442, August.
    19. Trumbo, Jennifer L. & Tonn, Bruce E., 2016. "Biofuels: A sustainable choice for the United States' energy future?," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 147-161.
    20. Stürmer, Bernhard & Novakovits, Philipp & Luidolt, Alexander & Zweiler, Richard, 2019. "Potential of renewable methane by anaerobic digestion from existing plant stock – An economic reflection of an Austrian region," Renewable Energy, Elsevier, vol. 130(C), pages 920-929.

    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:gam:jsusta:v:14:y:2022:i:20:p:13418-:d:946108. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.