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A Multi-Objective Optimization Model for the Design of Biomass Co-Firing Networks Integrating Feedstock Quality Considerations

Author

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  • Jayne Lois G. San Juan

    (Industrial Engineering Department, De La Salle University, Manila 0922, Philippines)

  • Kathleen B. Aviso

    (Chemical Engineering Department, De La Salle University, Manila 0922, Philippines
    Center for Engineering and Sustainable Development Research, De La Salle University, Manila 0922, Philippines)

  • Raymond R. Tan

    (Chemical Engineering Department, De La Salle University, Manila 0922, Philippines
    Center for Engineering and Sustainable Development Research, De La Salle University, Manila 0922, Philippines)

  • Charlle L. Sy

    (Industrial Engineering Department, De La Salle University, Manila 0922, Philippines
    Center for Engineering and Sustainable Development Research, De La Salle University, Manila 0922, Philippines)

Abstract

The growth in energy demand, coupled with declining fossil fuel resources and the onset of climate change, has resulted in increased interest in renewable energy, particularly from biomass. Co-firing, which is the joint use of coal and biomass to generate electricity, is seen to be a practical immediate solution for reducing coal use and the associated emissions. However, biomass is difficult to manage because of its seasonal availability and variable quality. This study proposes a biomass co-firing supply chain optimization model that simultaneously minimizes costs and environmental emissions through goal programming. The economic costs considered include retrofitting investment costs, together with fuel, transport, and processing costs, while environmental emissions may come from transport, treatment, and combustion activities. This model incorporates the consideration of feedstock quality and its impact on storage, transportation, and pre-treatment requirements, as well as conversion yield and equipment efficiency. These considerations are shown to be important drivers of network decisions, emphasizing the importance of managing biomass and coal blend ratios to ensure that acceptable fuel properties are obtained.

Suggested Citation

  • Jayne Lois G. San Juan & Kathleen B. Aviso & Raymond R. Tan & Charlle L. Sy, 2019. "A Multi-Objective Optimization Model for the Design of Biomass Co-Firing Networks Integrating Feedstock Quality Considerations," Energies, MDPI, vol. 12(12), pages 1-24, June.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2252-:d:239304
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    References listed on IDEAS

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    1. Hernández, Juan J. & Lapuerta, Magín & Monedero, Esperanza & Pazo, Amparo, 2018. "Biomass quality control in power plants: Technical and economical implications," Renewable Energy, Elsevier, vol. 115(C), pages 908-916.
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    5. Shafie, S.M. & Mahlia, T.M.I. & Masjuki, H.H., 2013. "Life cycle assessment of rice straw co-firing with coal power generation in Malaysia," Energy, Elsevier, vol. 57(C), pages 284-294.
    6. Yilun Shang, 2018. "Resilient Multiscale Coordination Control against Adversarial Nodes," Energies, MDPI, vol. 11(7), pages 1-17, July.
    7. Mauro, Caterina & Rentizelas, Athanasios A. & Chinese, Damiana, 2018. "International vs. domestic bioenergy supply chains for co-firing plants: The role of pre-treatment technologies," Renewable Energy, Elsevier, vol. 119(C), pages 712-730.
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    Cited by:

    1. Mohd Yahya, Nur Syahira & Ng, Lik Yin & Andiappan, Viknesh, 2021. "Optimisation and planning of biomass supply chain for new and existing power plants based on carbon reduction targets," Energy, Elsevier, vol. 237(C).
    2. Jiří Jaromír Klemeš & Petar Sabev Varbanov & Paweł Ocłoń & Hon Huin Chin, 2019. "Towards Efficient and Clean Process Integration: Utilisation of Renewable Resources and Energy-Saving Technologies," Energies, MDPI, vol. 12(21), pages 1-32, October.
    3. Iman Izadgoshasb & Yee Yan Lim & Ricardo Vasquez Padilla & Mohammadreza Sedighi & Jeremy Paul Novak, 2019. "Performance Enhancement of a Multiresonant Piezoelectric Energy Harvester for Low Frequency Vibrations," Energies, MDPI, vol. 12(14), pages 1-16, July.
    4. 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).
    5. Dan Yu & Caihong Zhang & Siyi Wang & Lan Zhang, 2023. "Evolutionary Game and Simulation Analysis of Power Plant and Government Behavior Strategies in the Coupled Power Generation Industry of Agricultural and Forestry Biomass and Coal," Energies, MDPI, vol. 16(3), pages 1-19, February.

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