IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v309y2022ics0306261921017049.html
   My bibliography  Save this article

Application of geographical information system and agent-based modeling to estimate particle-gaseous pollutantemissions and transportation cost of woody biomass supply chain

Author

Listed:
  • Zahraee, Seyed Mojib
  • Shiwakoti, Nirajan
  • Stasinopoulos, Peter

Abstract

Wood based bioenergy industry is growing rapidly due to climate change, challenging environmental and economic conditions, progress in energy conversion, and development of renewable energy policies. In this regard, an important challenge is employing woody biomass effectively and considering the lower environmental emissions, transportation, and emissions cost of the supply chain and activities needed to convert biomass into a valued energy source. Geographical scale, distribution, and the type of transportation of waste wood cause considerable challenges to meet the economic and environmental sustainability of the woody biomass supply chain (BSC). This study aims to develop an integrated Geographical Information System and Agent-based simulation modeling tool to fill this knowledge gap by investigating the particle-gaseous pollutant emissions and transportation cost of woody BSC. The two main forms of land freight, train and truck, with three sizes of capacity (light, medium, and heavy) are considered for the study. Scenario analysis is conducted to measure the particle-gaseous pollutantemissions and transportation costs of woody BSC. The developed model is tested through a case study in Victoria, Australia. Results showed that a combination of truck and train transport with increasing size and capacity of container leads to a reduction of around 60% gaseous pollutantemissions. Using 80% train transportation mode by suppliers would reduce emissions cost by 58%. Using rail transport emitted higher particulate emissions, and trucks with higher capacity reduced the particulate emissions by 55%. Results also depict that the higher capacity of containers leads to a decrease of at least 50% emissions cost. Harvesting and collection include 50% of total production costs. Finally, the sensitivity analysis results revealed that the factors with the highest impact on the overall transportation and emission costs of woody BSC are those in relation to transport network (i.e., type, capacity, and distance).

Suggested Citation

  • Zahraee, Seyed Mojib & Shiwakoti, Nirajan & Stasinopoulos, Peter, 2022. "Application of geographical information system and agent-based modeling to estimate particle-gaseous pollutantemissions and transportation cost of woody biomass supply chain," Applied Energy, Elsevier, vol. 309(C).
    • Handle: RePEc:eee:appene:v:309:y:2022:i:c:s0306261921017049
    DOI: 10.1016/j.apenergy.2021.118482
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921017049
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.118482?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. Puri, Munish & Abraham, Reinu E. & Barrow, Colin J., 2012. "Biofuel production: Prospects, challenges and feedstock in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6022-6031.
    2. Sultana, Arifa & Kumar, Amit, 2012. "Optimal siting and size of bioenergy facilities using geographic information system," Applied Energy, Elsevier, vol. 94(C), pages 192-201.
    3. Rentizelas, Athanasios A. & Tolis, Athanasios J. & Tatsiopoulos, Ilias P., 2009. "Logistics issues of biomass: The storage problem and the multi-biomass supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 887-894, May.
    4. Perpiñá, C. & Alfonso, D. & Pérez-Navarro, A. & Peñalvo, E. & Vargas, C. & Cárdenas, R., 2009. "Methodology based on Geographic Information Systems for biomass logistics and transport optimisation," Renewable Energy, Elsevier, vol. 34(3), pages 555-565.
    5. Kosinkova, Jana & Doshi, Amar & Maire, Juliette & Ristovski, Zoran & Brown, Richard & Rainey, Thomas J., 2015. "Measuring the regional availability of biomass for biofuels and the potential for microalgae," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1271-1285.
    6. Zahraee, Seyed Mojib & Rahimpour Golroudbary, Saeed & Shiwakoti, Nirajan & Stasinopoulos, Peter, 2021. "Particle-Gaseous pollutant emissions and cost of global biomass supply chain via maritime transportation: Full-scale synergy model," Applied Energy, Elsevier, vol. 303(C).
    7. Pour, Nasim & Webley, Paul A. & Cook, Peter J., 2018. "Opportunities for application of BECCS in the Australian power sector," Applied Energy, Elsevier, vol. 224(C), pages 615-635.
    8. Sfeir, Tamires de Almeida & Pécora, José Eduardo & Ruiz, Angel & LeBel, Luc, 2021. "Integrating natural wood drying and seasonal trucks’ workload restrictions into forestry transportation planning," Omega, Elsevier, vol. 98(C).
    9. Comber, Alexis & Dickie, Jennifer & Jarvis, Claire & Phillips, Martin & Tansey, Kevin, 2015. "Locating bioenergy facilities using a modified GIS-based location–allocation-algorithm: Considering the spatial distribution of resource supply," Applied Energy, Elsevier, vol. 154(C), pages 309-316.
    10. Kinoshita, Tsuguki & Inoue, Keisuke & Iwao, Koki & Kagemoto, Hiroshi & Yamagata, Yoshiki, 2009. "A spatial evaluation of forest biomass usage using GIS," Applied Energy, Elsevier, vol. 86(1), pages 1-8, January.
    11. Zhang, Fengli & Johnson, Dana M. & Johnson, Mark A., 2012. "Development of a simulation model of biomass supply chain for biofuel production," Renewable Energy, Elsevier, vol. 44(C), pages 380-391.
    12. Frombo, Francesco & Minciardi, Riccardo & Robba, Michela & Sacile, Roberto, 2009. "A decision support system for planning biomass-based energy production," Energy, Elsevier, vol. 34(3), pages 362-369.
    13. Prinz, Robert & Väätäinen, Kari & Laitila, Juha & Sikanen, Lauri & Asikainen, Antti, 2019. "Analysis of energy efficiency of forest chip supply systems using discrete-event simulation," Applied Energy, Elsevier, vol. 235(C), pages 1369-1380.
    14. Chau, J. & Sowlati, T. & Sokhansanj, S. & Preto, F. & Melin, S. & Bi, X., 2009. "Techno-economic analysis of wood biomass boilers for the greenhouse industry," Applied Energy, Elsevier, vol. 86(3), pages 364-371, March.
    15. 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.
    16. Luo, Li & O'Hehir, Jim & Regan, Courtney M. & Meng, Li & Connor, Jeffery D. & Chow, Christopher W.K., 2021. "An integrated strategic and tactical optimization model for forest supply chain planning," Forest Policy and Economics, Elsevier, vol. 131(C).
    17. Luis Miguel Fonseca & José Pedro Domingues & Maria Teresa Pereira & Florinda Figueiredo Martins & Dominik Zimon, 2018. "Assessment of Circular Economy within Portuguese Organizations," Sustainability, MDPI, vol. 10(7), pages 1-24, July.
    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. Reyes, Y.A. & Pérez, M. & Barrera, E.L. & Martínez, Y. & Cheng, K.K., 2022. "Thermochemical conversion processes of Dichrostachys cinerea as a biofuel: A review of the Cuban case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    2. Li, Dan & Li, Yijun & Wang, Chaoqun & Chen, Min & Wu, Qi, 2023. "Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks," Applied Energy, Elsevier, vol. 331(C).
    3. Seyed Mojib Zahraee & Nirajan Shiwakoti & Peter Stasinopoulos, 2024. "Metaheuristic Optimization of the Agricultural Biomass Supply Chain: Integrating Strategic, Tactical, and Operational Planning," Energies, MDPI, vol. 17(16), pages 1-35, August.

    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. Jayarathna, Lasinidu & Kent, Geoff & O'Hara, Ian & Hobson, Philip, 2020. "A Geographical Information System based framework to identify optimal location and size of biomass energy plants using single or multiple biomass types," Applied Energy, Elsevier, vol. 275(C).
    2. Zahraee, Seyed Mojib & Rahimpour Golroudbary, Saeed & Shiwakoti, Nirajan & Stasinopoulos, Peter, 2021. "Particle-Gaseous pollutant emissions and cost of global biomass supply chain via maritime transportation: Full-scale synergy model," Applied Energy, Elsevier, vol. 303(C).
    3. Nunes, L.J.R. & Causer, T.P. & Ciolkosz, D., 2020. "Biomass for energy: A review on supply chain management models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    4. Jayarathna, Lasinidu & Kent, Geoff & O’Hara, Ian & Hobson, Philip, 2022. "Geographical information system based fuzzy multi criteria analysis for sustainability assessment of biomass energy plant siting: A case study in Queensland, Australia," Land Use Policy, Elsevier, vol. 114(C).
    5. Xiang Zhao & Xiaoya Ma & Kun Wang & Yuqing Long & Dongjie Zhang & Zhanchun Xiao, 2017. "A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China," Sustainability, MDPI, vol. 9(5), pages 1-19, May.
    6. Akhtari, Shaghaygh & Sowlati, Taraneh & Day, Ken, 2014. "The effects of variations in supply accessibility and amount on the economics of using regional forest biomass for generating district heat," Energy, Elsevier, vol. 67(C), pages 631-640.
    7. Angelis-Dimakis, Athanasios & Biberacher, Markus & Dominguez, Javier & Fiorese, Giulia & Gadocha, Sabine & Gnansounou, Edgard & Guariso, Giorgio & Kartalidis, Avraam & Panichelli, Luis & Pinedo, Irene, 2011. "Methods and tools to evaluate the availability of renewable energy sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1182-1200, February.
    8. De Meyer, Annelies & Cattrysse, Dirk & Rasinmäki, Jussi & Van Orshoven, Jos, 2014. "Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 657-670.
    9. Calvert, K., 2011. "Geomatics and bioenergy feasibility assessments: Taking stock and looking forward," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1117-1124, February.
    10. Leonel J. R. Nunes & Sandra Silva, 2023. "Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis," Logistics, MDPI, vol. 7(3), pages 1-21, August.
    11. Espinoza Pérez, Andrea Teresa & Camargo, Mauricio & Narváez Rincón, Paulo César & Alfaro Marchant, Miguel, 2017. "Key challenges and requirements for sustainable and industrialized biorefinery supply chain design and management: A bibliographic analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 350-359.
    12. Palander, Teijo & Haavikko, Hanna & Kärhä, Kalle, 2018. "Towards sustainable wood procurement in forest industry – The energy efficiency of larger and heavier vehicles in Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 100-118.
    13. Zhang, Xingping & Luo, Kaiyan & Tan, Qinliang, 2016. "A feedstock supply model integrating the official organization for China's biomass generation plants," Energy Policy, Elsevier, vol. 97(C), pages 276-290.
    14. Calvert, K. & Pearce, J.M. & Mabee, W.E., 2013. "Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 416-429.
    15. Costa, Fabrício Rodrigues & Ribeiro, Carlos Antonio Alvares Soares & Marcatti, Gustavo Eduardo & Lorenzon, Alexandre Simões & Teixeira, Thaisa Ribeiro & Domingues, Getulio Fonseca & Castro, Nero Lemos, 2020. "GIS applied to location of bioenergy plants in tropical agricultural areas," Renewable Energy, Elsevier, vol. 153(C), pages 911-918.
    16. Sultana, Arifa & Kumar, Amit, 2014. "Development of tortuosity factor for assessment of lignocellulosic biomass delivery cost to a biorefinery," Applied Energy, Elsevier, vol. 119(C), pages 288-295.
    17. 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.
    18. Cebi, Selcuk & Ilbahar, Esra & Atasoy, Aylin, 2016. "A fuzzy information axiom based method to determine the optimal location for a biomass power plant: A case study in Aegean Region of Turkey," Energy, Elsevier, vol. 116(P1), pages 894-907.
    19. 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.
    20. Fernando López-Rodríguez & Justo García Sanz-Calcedo & Francisco J. Moral-García, 2019. "Spatial Analysis of Residual Biomass and Location of Future Storage Centers in the Southwest of Europe," Energies, MDPI, vol. 12(10), pages 1-16, May.

    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:309:y:2022:i:c:s0306261921017049. 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.