IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v55y2013icp68-73.html
   My bibliography  Save this article

Robust models for the synthesis of flexible palm oil-based regional bioenergy supply chain

Author

Listed:
  • Foo, Dominic C.Y.
  • Tan, Raymond R.
  • Lam, Hon Loong
  • Abdul Aziz, Mustafa Kamal
  • Klemeš, Jiří Jaromír

Abstract

EFB (Empty fruit bunch) is among the palm oil biomass residues that have been identified as the most abundant bioenergy resources in Southeast Asia. EFB has a good potential to meet the targeted share of renewable energy in this region. This work presents robust LP (linear programming) model to allow for the synthesis of EFB allocation networks that exhibit operational flexibility under multiple biomass supply scenarios. Such multiple scenarios may arise due to many uncertain factors, such as anticipated closure or expansion of mills. A MILP (mixed integer linear programming) extension of the model is then developed. Real life-based case studies of an industrial application are presented to illustrate the use of both variants of the model.

Suggested Citation

  • Foo, Dominic C.Y. & Tan, Raymond R. & Lam, Hon Loong & Abdul Aziz, Mustafa Kamal & Klemeš, Jiří Jaromír, 2013. "Robust models for the synthesis of flexible palm oil-based regional bioenergy supply chain," Energy, Elsevier, vol. 55(C), pages 68-73.
    • Handle: RePEc:eee:energy:v:55:y:2013:i:c:p:68-73
    DOI: 10.1016/j.energy.2013.01.045
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421300073X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2013.01.045?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. Sayigh, Ali, 1999. "Renewable energy -- the way forward," Applied Energy, Elsevier, vol. 64(1-4), pages 15-30, September.
    2. Perry, Simon & Klemeš, Jiří & Bulatov, Igor, 2008. "Integrating waste and renewable energy to reduce the carbon footprint of locally integrated energy sectors," Energy, Elsevier, vol. 33(10), pages 1489-1497.
    3. John M. Mulvey & Robert J. Vanderbei & Stavros A. Zenios, 1995. "Robust Optimization of Large-Scale Systems," Operations Research, INFORMS, vol. 43(2), pages 264-281, April.
    4. Tan, Raymond R., 2011. "A general source-sink model with inoperability constraints for robust energy sector planning," Applied Energy, Elsevier, vol. 88(11), pages 3759-3764.
    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. Theo, Wai Lip & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin & Muis, Zarina Abdul, 2017. "Optimisation of oil palm biomass and palm oil mill effluent (POME) utilisation pathway for palm oil mill cluster with consideration of BioCNG distribution network," Energy, Elsevier, vol. 121(C), pages 865-883.
    2. Marta Pérez-Pérez & Canan Kocabasoglu-Hillmer & Ana María Serrano-Bedia & María Concepción López-Fernández, 2019. "Manufacturing and Supply Chain Flexibility: Building an Integrative Conceptual Model Through Systematic Literature Review and Bibliometric Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 1-23, December.
    3. Li, Zhiwei & Jia, Xiaoping & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Minimizing carbon footprint using pinch analysis: The case of regional renewable electricity planning in China," Applied Energy, Elsevier, vol. 184(C), pages 1051-1062.
    4. Lee, Ming Kwee & Hashim, Haslenda & Lim, Jeng Shiun & Taib, Mohd Rozainee, 2019. "Spatial planning and optimisation for virtual distribution of BioCNG derived from palm oil mill effluent to meet industrial energy demand," Renewable Energy, Elsevier, vol. 141(C), pages 526-540.
    5. Tang, J.P. & Lam, H.L. & Abdul Aziz, M.K. & Morad, N.A., 2017. "Palm biomass strategic resource managment – A competitive game analysis," Energy, Elsevier, vol. 118(C), pages 456-463.
    6. Ling, Wen Choong & Verasingham, Arati Banu & Andiappan, Viknesh & Wan, Yoke Kin & Chew, Irene M.L. & Ng, Denny K.S., 2019. "An integrated mathematical optimisation approach to synthesise and analyse a bioelectricity supply chain network," Energy, Elsevier, vol. 178(C), pages 554-571.
    7. Azadeh, Ali & Vafa Arani, Hamed & Dashti, Hossein, 2014. "A stochastic programming approach towards optimization of biofuel supply chain," Energy, Elsevier, vol. 76(C), pages 513-525.
    8. Wang, Bohong & Klemeš, Jiří Jaromír & Liang, Yongtu & Yuan, Meng & Zhang, Haoran & Liu, Jiayi, 2020. "Implementing hydrogen injection in coal-dominated regions: Supply chain optimisation and reliability analysis," Energy, Elsevier, vol. 201(C).
    9. Islam Hassanin & Matjaz Knez, 2022. "Managing Supply Chain Activities in the Field of Energy Production Focusing on Renewables," Sustainability, MDPI, vol. 14(12), pages 1-33, June.
    10. Zailan, Roziah & Lim, Jeng Shiun & Manan, Zainuddin Abdul & Alwi, Sharifah Rafidah Wan & Mohammadi-ivatloo, Behnam & Jamaluddin, Khairulnadzmi, 2021. "Malaysia scenario of biomass supply chain-cogeneration system and optimization modeling development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    11. Sharifzadeh, Mahdi & Hien, Raymond Khoo Teck & Shah, Nilay, 2019. "China’s roadmap to low-carbon electricity and water: Disentangling greenhouse gas (GHG) emissions from electricity-water nexus via renewable wind and solar power generation, and carbon capture and sto," Applied Energy, Elsevier, vol. 235(C), pages 31-42.
    12. Sy, Charlle L. & Aviso, Kathleen B. & Ubando, Aristotle T. & Tan, Raymond R., 2016. "Target-oriented robust optimization of polygeneration systems under uncertainty," Energy, Elsevier, vol. 116(P2), pages 1334-1347.
    13. Tan, Yue Dian & Lim, Jeng Shiun & Wan Alwi, Sharifah Rafidah, 2020. "Multi-objective optimal design for integrated palm oil mill complex with consideration of effluent elimination," Energy, Elsevier, vol. 202(C).
    14. Hoo Poh Ying & Cassendra Bong Phun Chien & Fan Yee Van, 2020. "Operational Management Implemented in Biofuel Upstream Supply Chain and Downstream International Trading: Current Issues in Southeast Asia," Energies, MDPI, vol. 13(7), pages 1-26, April.
    15. Fumi Harahap & Sylvain Leduc & Sennai Mesfun & Dilip Khatiwada & Florian Kraxner & Semida Silveira, 2019. "Opportunities to Optimize the Palm Oil Supply Chain in Sumatra, Indonesia," Energies, MDPI, vol. 12(3), pages 1-24, January.
    16. Yılmaz Balaman, Şebnem & Selim, Hasan, 2014. "A fuzzy multiobjective linear programming model for design and management of anaerobic digestion based bioenergy supply chains," Energy, Elsevier, vol. 74(C), pages 928-940.

    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. Lam, Hon Loong & Varbanov, Petar Sabev & Klemes, Jirí Jaromír, 2011. "Regional renewable energy and resource planning," Applied Energy, Elsevier, vol. 88(2), pages 545-550, February.
    2. Aristotle T. Ubando & Isidro Antonio V. Marfori & Kathleen B. Aviso & Raymond R. Tan, 2019. "Optimal Operational Adjustment of a Community-Based Off-Grid Polygeneration Plant using a Fuzzy Mixed Integer Linear Programming Model," Energies, MDPI, vol. 12(4), pages 1-17, February.
    3. Lam, Hon Loong & Varbanov, Petar & Klemeš, Jiří, 2010. "Minimising carbon footprint of regional biomass supply chains," Resources, Conservation & Recycling, Elsevier, vol. 54(5), pages 303-309.
    4. Donghai Wang & Qiuhong Zhao, 2020. "A Simultaneous Optimization Model for Airport Network Slot Allocation under Uncertain Capacity," Sustainability, MDPI, vol. 12(14), pages 1-14, July.
    5. Matsuda, Kazuo & Hirochi, Yoshiichi & Tatsumi, Hiroyuki & Shire, Tim, 2009. "Applying heat integration total site based pinch technology to a large industrial area in Japan to further improve performance of highly efficient process plants," Energy, Elsevier, vol. 34(10), pages 1687-1692.
    6. Shan Lan & John-Paul Clarke & Cynthia Barnhart, 2006. "Planning for Robust Airline Operations: Optimizing Aircraft Routings and Flight Departure Times to Minimize Passenger Disruptions," Transportation Science, INFORMS, vol. 40(1), pages 15-28, February.
    7. Khaled, Oumaima & Minoux, Michel & Mousseau, Vincent & Michel, Stéphane & Ceugniet, Xavier, 2018. "A multi-criteria repair/recovery framework for the tail assignment problem in airlines," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 137-151.
    8. Irawan, Chandra Ade & Jones, Dylan & Hofman, Peter S. & Zhang, Lina, 2023. "Integrated strategic energy mix and energy generation planning with multiple sustainability criteria and hierarchical stakeholders," European Journal of Operational Research, Elsevier, vol. 308(2), pages 864-883.
    9. Hashem Omrani & Farzane Adabi & Narges Adabi, 2017. "Designing an efficient supply chain network with uncertain data: a robust optimization—data envelopment analysis approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(7), pages 816-828, July.
    10. Varbanov, Petar Sabev & Fodor, Zsófia & Klemeš, Jiří Jaromír, 2012. "Total Site targeting with process specific minimum temperature difference (ΔTmin)," Energy, Elsevier, vol. 44(1), pages 20-28.
    11. Jihee Han & KwangSup Shin, 2016. "Evaluation mechanism for structural robustness of supply chain considering disruption propagation," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 135-151, January.
    12. Yasser Maklad, 2014. "Quantification and Costing of Domestic Electricity Generation for Armidale, New South Wales, Australia Utilising Micro Wind Turbines," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 208-219.
    13. Gassner, Martin & Maréchal, François, 2009. "Thermodynamic comparison of the FICFB and Viking gasification concepts," Energy, Elsevier, vol. 34(10), pages 1744-1753.
    14. Tsai, Jung-Fa, 2007. "An optimization approach for supply chain management models with quantity discount policy," European Journal of Operational Research, Elsevier, vol. 177(2), pages 982-994, March.
    15. Xuejie Bai & Yankui Liu, 2016. "Robust optimization of supply chain network design in fuzzy decision system," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1131-1149, December.
    16. Schönlein, Michael & Makuschewitz, Thomas & Wirth, Fabian & Scholz-Reiter, Bernd, 2013. "Measurement and optimization of robust stability of multiclass queueing networks: Applications in dynamic supply chains," European Journal of Operational Research, Elsevier, vol. 229(1), pages 179-189.
    17. Baharoon, Dhyia Aidroos & Rahman, Hasimah Abdul & Fadhl, Saeed Obaid, 2016. "Publics׳ knowledge, attitudes and behavioral toward the use of solar energy in Yemen power sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 498-515.
    18. Liu, H. & Jiang, G.M. & Zhuang, H.Y. & Wang, K.J., 2008. "Distribution, utilization structure and potential of biomass resources in rural China: With special references of crop residues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1402-1418, June.
    19. Cui, Guodong & Zhang, Liang & Ren, Bo & Enechukwu, Chioma & Liu, Yanmin & Ren, Shaoran, 2016. "Geothermal exploitation from depleted high temperature gas reservoirs via recycling supercritical CO2: Heat mining rate and salt precipitation effects," Applied Energy, Elsevier, vol. 183(C), pages 837-852.
    20. Antonio G. Martín & Manuel Díaz-Madroñero & Josefa Mula, 2020. "Master production schedule using robust optimization approaches in an automobile second-tier supplier," 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. 28(1), pages 143-166, March.

    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:55:y:2013:i:c:p:68-73. 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.