IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v178y2016icp721-735.html
   My bibliography  Save this article

Incorporating social benefits in multi-objective optimization of forest-based bioenergy and biofuel supply chains

Author

Listed:
  • Cambero, Claudia
  • Sowlati, Taraneh

Abstract

Utilization of forest and wood residues to produce bioenergy and biofuels could generate additional revenue streams for forestry companies, reduce their environmental impacts and generate new development opportunities for forest-dependent communities. Further development of forest-based biorefineries entails addressing complexities and challenges related to biomass procurement, logistics, technologies, and sustainability. Numerous optimization models have been proposed for the economic and environmental design of biomass-to-bioenergy or biofuel supply chains. A few of them also maximized the job creation potential of the supply chain through the use of employment multipliers. The use of a total job creation indicator as the social optimization objective implies that all new jobs generate the same level of social benefit. In this paper, we quantify the potential social benefit of new forest-based biorefinery supply chains considering different impacts of new jobs based on their type and location. This social benefit is incorporated into a multi-objective mixed integer linear programming model that maximizes the social benefit, net present value and greenhouse gas emission saving potential of a forest-based biorefinery supply chain. The applicability of the model is illustrated through a case study in the interior region of British Columbia, Canada where different utilization paths for available forest and wood residues are investigated. The multi-objective optimization model is solved using a Pareto-generating method. The analysis of the generated set of Pareto-optimal solutions show a trade-off between the net present value of the supply chain and the other two investigated objectives. Moreover, there is a positive correlation between the potential to generate high impact jobs in the region and its potential to generate greenhouse gas emission savings.

Suggested Citation

  • Cambero, Claudia & Sowlati, Taraneh, 2016. "Incorporating social benefits in multi-objective optimization of forest-based bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 178(C), pages 721-735.
    • Handle: RePEc:eee:appene:v:178:y:2016:i:c:p:721-735
    DOI: 10.1016/j.apenergy.2016.06.079
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916308546
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.06.079?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. Mafakheri, Fereshteh & Nasiri, Fuzhan, 2014. "Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions," Energy Policy, Elsevier, vol. 67(C), pages 116-126.
    2. Awudu, Iddrisu & Zhang, Jun, 2012. "Uncertainties and sustainability concepts in biofuel supply chain management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1359-1368.
    3. Čuček, Lidija & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Kravanja, Zdravko, 2012. "Total footprints-based multi-criteria optimisation of regional biomass energy supply chains," Energy, Elsevier, vol. 44(1), pages 135-145.
    4. Shabani, Nazanin & Akhtari, Shaghaygh & Sowlati, Taraneh, 2013. "Value chain optimization of forest biomass for bioenergy production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 299-311.
    5. Patriquin, Mike N. & Wellstead, Adam M. & White, William A., 2007. "Beetles, trees, and people: Regional economic impact sensitivity and policy considerations related to the mountain pine beetle infestation in British Columbia, Canada," Forest Policy and Economics, Elsevier, vol. 9(8), pages 938-946, May.
    6. Liu, Zhexuan & Qiu, Tong & Chen, Bingzhen, 2014. "A study of the LCA based biofuel supply chain multi-objective optimization model with multi-conversion paths in China," Applied Energy, Elsevier, vol. 126(C), pages 221-234.
    7. Cambero, Claudia & Sowlati, Taraneh, 2014. "Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 62-73.
    8. Thornley, Patricia & Rogers, John & Huang, Ye, 2008. "Quantification of employment from biomass power plants," Renewable Energy, Elsevier, vol. 33(8), pages 1922-1927.
    9. Sharma, B. & Ingalls, R.G. & Jones, C.L. & Khanchi, A., 2013. "Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 608-627.
    10. Feijoo, Felipe & Das, Tapas K., 2014. "Design of Pareto optimal CO2 cap-and-trade policies for deregulated electricity networks," Applied Energy, Elsevier, vol. 119(C), pages 371-383.
    11. Ralph Sims, 2003. "Bioenergy to mitigate for climate change and meet the needs of society, the economy and the environment," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 8(4), pages 349-370, December.
    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. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    2. Cambero, Claudia & Sowlati, Taraneh, 2014. "Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 62-73.
    3. Mirkouei, Amin & Haapala, Karl R. & Sessions, John & Murthy, Ganti S., 2017. "A review and future directions in techno-economic modeling and optimization of upstream forest biomass to bio-oil supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 15-35.
    4. Malladi, Krishna Teja & Sowlati, Taraneh, 2018. "Biomass logistics: A review of important features, optimization modeling and the new trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 587-599.
    5. Martinez-Valencia, Lina & Garcia-Perez, Manuel & Wolcott, Michael P., 2021. "Supply chain configuration of sustainable aviation fuel: Review, challenges, and pathways for including environmental and social benefits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    6. Mayerle, Sérgio Fernando & Neiva de Figueiredo, João, 2016. "Designing optimal supply chains for anaerobic bio-digestion/energy generation complexes with distributed small farm feedstock sourcing," Renewable Energy, Elsevier, vol. 90(C), pages 46-54.
    7. Deboni, Tamires Liza & Simioni, Flávio José & Brand, Martha Andreia & Costa, Valdeci José, 2019. "Models for estimating the price of forest biomass used as an energy source: A Brazilian case," Energy Policy, Elsevier, vol. 127(C), pages 382-391.
    8. Benedek, József & Sebestyén, Tihamér-Tibor & Bartók, Blanka, 2018. "Evaluation of renewable energy sources in peripheral areas and renewable energy-based rural development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 516-535.
    9. Mosayeb Dashtpeyma & Reza Ghodsi, 2021. "Forest Biomass and Bioenergy Supply Chain Resilience: A Systematic Literature Review on the Barriers and Enablers," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    10. Ghadge, Abhijeet & van der Werf, Sjoerd & Er Kara, Merve & Goswami, Mohit & Kumar, Pankaj & Bourlakis, Michael, 2020. "Modelling the impact of climate change risk on bioethanol supply chains," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    11. 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).
    12. Wu, Juanjuan & Zhang, Jian & Yi, Weiming & Cai, Hongzhen & Li, Yang & Su, Zhanpeng, 2022. "Agri-biomass supply chain optimization in north China: Model development and application," Energy, Elsevier, vol. 239(PD).
    13. Lo, Shirleen Lee Yuen & How, Bing Shen & Leong, Wei Dong & Teng, Sin Yong & Rhamdhani, Muhammad Akbar & Sunarso, Jaka, 2021. "Techno-economic analysis for biomass supply chain: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    14. Mansuy, Nicolas & Thiffault, Evelyne & Lemieux, Sébastien & Manka, Francis & Paré, David & Lebel, Luc, 2015. "Sustainable biomass supply chains from salvage logging of fire-killed stands: A case study for wood pellet production in eastern Canada," Applied Energy, Elsevier, vol. 154(C), pages 62-73.
    15. Fattahi, Mohammad & Govindan, Kannan, 2018. "A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 534-567.
    16. Tatiana M. Pinho & João Paulo Coelho & Germano Veiga & A. Paulo Moreira & José Boaventura-Cunha, 2017. "A Multilayer Model Predictive Control Methodology Applied to a Biomass Supply Chain Operational Level," Complexity, Hindawi, vol. 2017, pages 1-10, July.
    17. Sam Van Holsbeeck & Mark Brown & Sanjeev Kumar Srivastava & Mohammad Reza Ghaffariyan, 2020. "A Review on the Potential of Forest Biomass for Bioenergy in Australia," Energies, MDPI, vol. 13(5), pages 1-19, March.
    18. Tan, Qinliang & Wang, Tingran & Zhang, Yimei & Miao, Xinyan & Zhu, Jun, 2017. "Nonlinear multi-objective optimization model for a biomass direct-fired power generation supply chain using a case study in China," Energy, Elsevier, vol. 139(C), pages 1066-1079.
    19. Faissal Jelti & Amine Allouhi & Mahmut Sami Büker & Rachid Saadani & Abdelmajid Jamil, 2021. "Renewable Power Generation: A Supply Chain Perspective," Sustainability, MDPI, vol. 13(3), pages 1-22, January.
    20. Sarker, Bhaba R. & Wu, Bingqing & Paudel, Krishna P., 2019. "Modeling and optimization of a supply chain of renewable biomass and biogas: Processing plant location," Applied Energy, Elsevier, vol. 239(C), pages 343-355.

    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:appene:v:178:y:2016:i:c:p:721-735. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.