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

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  • 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).

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  • 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
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    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    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.
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    5. Jiaqing Chen & Dongpeng Peng & Zhiwei Liu & Lingzhi Wu & Ming Jiang, 2024. "A Sustainable Model for Forecasting Carbon Emission Trading Prices," Sustainability, MDPI, vol. 16(19), pages 1-16, September.

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