IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v206y2023icp982-993.html
   My bibliography  Save this article

Biogascluster: A clustering algorithm to identify potential partnerships between agribusiness properties

Author

Listed:
  • Obal, Thalita Monteiro
  • de Souza, Jovani Taveira
  • de Jesus, Rômulo Henrique Gomes
  • de Francisco, Antonio Carlos

Abstract

The lack of partnerships between biomass generating producers is one of the main barriers to efficient biogas production. Partnerships can help producers properly dispose of waste, assist in the supply of biodigesters, allow the union of properties with different potential biomass generators into clusters, and optimize operating costs. In this sense, new measures must be adopted with regard to the establishment of strategic partnerships between producers. Therefore, in this paper, we propose a new clustering algorithm, BiogasCluster, to decide the optimal number of clusters for generating a renewable energy community. To test the proposed algorithm's applicability, we implemented the algorithm in R language. Experiments with real databases showed that the BiogasCluster proved to be efficient in generating stable clusters for all considered scenarios. It was also found that the filters and criteria used in the proposed algorithm have not been used in previous studies. This study provides important guidance to creating strategic partnerships within bioenergy generation in addition to obtaining a preliminary assessment of the possibility of establishing clusters of rural properties with the aim of achieving energy security and adding value to their businesses.

Suggested Citation

  • Obal, Thalita Monteiro & de Souza, Jovani Taveira & de Jesus, Rômulo Henrique Gomes & de Francisco, Antonio Carlos, 2023. "Biogascluster: A clustering algorithm to identify potential partnerships between agribusiness properties," Renewable Energy, Elsevier, vol. 206(C), pages 982-993.
    • Handle: RePEc:eee:renene:v:206:y:2023:i:c:p:982-993
    DOI: 10.1016/j.renene.2023.02.121
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123002720
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.02.121?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. Lourinho, Gonçalo & Brito, Paulo, 2015. "Assessment of biomass energy potential in a region of Portugal (Alto Alentejo)," Energy, Elsevier, vol. 81(C), pages 189-201.
    2. J. Prakash & P. K. Singh, 2018. "Hybrid Gbest-guided Artificial Bee Colony for hard partitional clustering," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(4), pages 911-928, August.
    3. Abdeshahian, Peyman & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2016. "Potential of biogas production from farm animal waste in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 714-723.
    4. Hennig, Christian, 2007. "Cluster-wise assessment of cluster stability," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 258-271, September.
    5. 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.
    6. Hakawati, Rawan & Smyth, Beatrice M. & McCullough, Geoffrey & De Rosa, Fabio & Rooney, David, 2017. "What is the most energy efficient route for biogas utilization: Heat, electricity or transport?," Applied Energy, Elsevier, vol. 206(C), pages 1076-1087.
    7. Zemo, Kahsay Haile & Termansen, Mette, 2018. "Farmers’ willingness to participate in collective biogas investment: A discrete choice experiment study," Resource and Energy Economics, Elsevier, vol. 52(C), pages 87-101.
    8. Zareei, Samira, 2018. "Evaluation of biogas potential from livestock manures and rural wastes using GIS in Iran," Renewable Energy, Elsevier, vol. 118(C), pages 351-356.
    9. Jianliang Wang & Yuru Yang & Yongmei Bentley & Xu Geng & Xiaojie Liu, 2018. "Sustainability Assessment of Bioenergy from a Global Perspective: A Review," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    10. Cong, Rong-Gang & Caro, Dario & Thomsen, Marianne, 2017. "Is it beneficial to use biogas in the Danish transport sector?–An environmental-economic analysis," MPRA Paper 112291, University Library of Munich, Germany.
    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. Obal, Thalita Monteiro & de Souza, Jovani Taveira & Florentino, Helenice de Oliveira & de Francisco, Antonio Carlos & Soler, Edilaine Martins, 2024. "A matheuristic applied to clustering rural properties and allocating plants for biogas generation," Energy, Elsevier, vol. 305(C).

    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. Obal, Thalita Monteiro & de Souza, Jovani Taveira & Florentino, Helenice de Oliveira & de Francisco, Antonio Carlos & Soler, Edilaine Martins, 2024. "A matheuristic applied to clustering rural properties and allocating plants for biogas generation," Energy, Elsevier, vol. 305(C).
    2. Safieddin Ardebili, Seyed Mohammad, 2020. "Green electricity generation potential from biogas produced by anaerobic digestion of farm animal waste and agriculture residues in Iran," Renewable Energy, Elsevier, vol. 154(C), pages 29-37.
    3. Mohr, Lukas & Burg, Vanessa & Thees, Oliver & Trutnevyte, Evelina, 2019. "Spatial hot spots and clusters of bioenergy combined with socio-economic analysis in Switzerland," Renewable Energy, Elsevier, vol. 140(C), pages 840-851.
    4. Tsapekos, P. & Khoshnevisan, B. & Alvarado-Morales, M. & Symeonidis, A. & Kougias, P.G. & Angelidaki, Irini, 2019. "Environmental impacts of biogas production from grass: Role of co-digestion and pretreatment at harvesting time," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    5. Rodrigues Silveira, Andrei Rei & Nadaleti, Willian Cézar & Przybyla, Grzegorz & Belli Filho, Paulo, 2019. "Potential use of methane and syngas from residues generated in rice industries of Pelotas, Rio Grande do Sul: Thermal and electrical energy," Renewable Energy, Elsevier, vol. 134(C), pages 1003-1016.
    6. Soha, Tamás & Papp, Luca & Csontos, Csaba & Munkácsy, Béla, 2021. "The importance of high crop residue demand on biogas plant site selection, scaling and feedstock allocation – A regional scale concept in a Hungarian study area," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    7. Korberg, Andrei David & Skov, Iva Ridjan & Mathiesen, Brian Vad, 2020. "The role of biogas and biogas-derived fuels in a 100% renewable energy system in Denmark," Energy, Elsevier, vol. 199(C).
    8. Khoshgoftar Manesh, M.H. & Rezazadeh, A. & Kabiri, S., 2020. "A feasibility study on the potential, economic, and environmental advantages of biogas production from poultry manure in Iran," Renewable Energy, Elsevier, vol. 159(C), pages 87-106.
    9. Avinash Bharti & Kunwar Paritosh & Venkata Ravibabu Mandla & Aakash Chawade & Vivekanand Vivekanand, 2021. "GIS Application for the Estimation of Bioenergy Potential from Agriculture Residues: An Overview," Energies, MDPI, vol. 14(4), pages 1-15, February.
    10. Şenol, Halil & Ali Dereli̇, Mehmet & Özbilgin, Ferdi, 2021. "Investigation of the distribution of bovine manure-based biomethane potential using an artificial neural network in Turkey to 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    11. Diego Díaz-Vázquez & Susan Caroline Alvarado-Cummings & Demetrio Meza-Rodríguez & Carolina Senés-Guerrero & José de Anda & Misael Sebastián Gradilla-Hernández, 2020. "Evaluation of Biogas Potential from Livestock Manures and Multicriteria Site Selection for Centralized Anaerobic Digester Systems: The Case of Jalisco, México," Sustainability, MDPI, vol. 12(9), pages 1-32, April.
    12. Kolb, Sebastian & Plankenbühler, Thomas & Frank, Jonas & Dettelbacher, Johannes & Ludwig, Ralf & Karl, Jürgen & Dillig, Marius, 2021. "Scenarios for the integration of renewable gases into the German natural gas market – A simulation-based optimisation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    13. Zhilong Wei & Lei Wang & Hu Liu & Zihao Liu & Haisheng Zhen, 2021. "Numerical Investigation on the Flame Structure and CO/NO Formations of the Laminar Premixed Biogas–Hydrogen Impinging Flame in the Wall Vicinity," Energies, MDPI, vol. 14(21), pages 1-16, November.
    14. Hynek Roubík & Jana Mazancová & Phung Le Dinh & Dung Dinh Van & Jan Banout, 2018. "Biogas Quality across Small-Scale Biogas Plants: A Case of Central Vietnam," Energies, MDPI, vol. 11(7), pages 1-12, July.
    15. O’Shea, Richard & Kilgallon, Ian & Wall, David & Murphy, Jerry D., 2016. "Quantification and location of a renewable gas industry based on digestion of wastes in Ireland," Applied Energy, Elsevier, vol. 175(C), pages 229-239.
    16. Höhn, J. & Lehtonen, E. & Rasi, S. & Rintala, J., 2014. "A Geographical Information System (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland," Applied Energy, Elsevier, vol. 113(C), pages 1-10.
    17. Ana Alina Tudoran, 2022. "A machine learning approach to identifying decision-making styles for managing customer relationships," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 351-374, March.
    18. Wu, Han-Ming, 2011. "On biological validity indices for soft clustering algorithms for gene expression data," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1969-1979, May.
    19. Gaballah, Eid S. & Abdelkader, Tarek Kh & Luo, Shuai & Yuan, Qiaoxia & El-Fatah Abomohra, Abd, 2020. "Enhancement of biogas production by integrated solar heating system: A pilot study using tubular digester," Energy, Elsevier, vol. 193(C).
    20. Katinas, Vladislovas & Marčiukaitis, Mantas & Perednis, Eugenijus & Dzenajavičienė, Eugenija Farida, 2019. "Analysis of biodegradable waste use for energy generation in Lithuania," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 559-567.

    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:renene:v:206:y:2023:i:c:p:982-993. 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/renewable-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.