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Optimization of sawmill residues collection for bioenergy production

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  • Zamar, David S.
  • Gopaluni, Bhushan
  • Sokhansanj, Shahab

Abstract

The collection of sawmill residues is an important logistic activity for the pulp and paper industry, which uses the biomass as a source of energy. We study a vehicle routing problem for a network composed of a single depot and several sawmills. The sawmills serve as potential suppliers of biomass residues to the depot, which in turn processes and distributes the residues to the pulp and paper mills. This problem consists of identifying the best daily routing schedule for a fixed number of trucks. The objective is to maximize the ratio of energy returned on energy invested, while satisfying a minimum daily amount of dried biomass residues. There are several random components in the problem, including the availability and moisture content of the biomass residues. We use a combination of scenario analysis and heuristics to solve this stochastic vehicle routing problem. A performance comparison of the proposed method reveals an estimated daily energy savings of 6 GJ over the benchmark method.

Suggested Citation

  • Zamar, David S. & Gopaluni, Bhushan & Sokhansanj, Shahab, 2017. "Optimization of sawmill residues collection for bioenergy production," Applied Energy, Elsevier, vol. 202(C), pages 487-495.
    • Handle: RePEc:eee:appene:v:202:y:2017:i:c:p:487-495
    DOI: 10.1016/j.apenergy.2017.05.156
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    1. Jokinen, Raine & Pettersson, Frank & Saxén, Henrik, 2015. "An MILP model for optimization of a small-scale LNG supply chain along a coastline," Applied Energy, Elsevier, vol. 138(C), pages 423-431.
    2. Kou, Peng & Gao, Feng & Guan, Xiaohong, 2015. "Stochastic predictive control of battery energy storage for wind farm dispatching: Using probabilistic wind power forecasts," Renewable Energy, Elsevier, vol. 80(C), pages 286-300.
    3. Carolina Osorio & Michel Bierlaire, 2013. "A Simulation-Based Optimization Framework for Urban Transportation Problems," Operations Research, INFORMS, vol. 61(6), pages 1333-1345, December.
    4. Bastian, Cock & Rinnooy Kan, Alexander H. G., 1992. "The stochastic vehicle routing problem revisited," European Journal of Operational Research, Elsevier, vol. 56(3), pages 407-412, February.
    5. Krishna Chepuri & Tito Homem-de-Mello, 2005. "Solving the Vehicle Routing Problem with Stochastic Demands using the Cross-Entropy Method," Annals of Operations Research, Springer, vol. 134(1), pages 153-181, February.
    6. Sosa, Amanda & Acuna, Mauricio & McDonnell, Kevin & Devlin, Ger, 2015. "Controlling moisture content and truck configurations to model and optimise biomass supply chain logistics in Ireland," Applied Energy, Elsevier, vol. 137(C), pages 338-351.
    7. Yagcitekin, Bunyamin & Uzunoglu, Mehmet, 2016. "A double-layer smart charging strategy of electric vehicles taking routing and charge scheduling into account," Applied Energy, Elsevier, vol. 167(C), pages 407-419.
    8. Loecher, Markus & Ropkins, Karl, 2015. "RgoogleMaps and loa: Unleashing R Graphics Power on Map Tiles," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i04).
    9. Eom, Jiyong & Schipper, Lee & Thompson, Lou, 2012. "We keep on truckin': Trends in freight energy use and carbon emissions in 11 IEA countries," Energy Policy, Elsevier, vol. 45(C), pages 327-341.
    10. Junlong Zhang & William Lam & Bi Chen, 2013. "A Stochastic Vehicle Routing Problem with Travel Time Uncertainty: Trade-Off Between Cost and Customer Service," Networks and Spatial Economics, Springer, vol. 13(4), pages 471-496, December.
    11. Michel Gendreau & Gilbert Laporte & René Séguin, 1995. "An Exact Algorithm for the Vehicle Routing Problem with Stochastic Demands and Customers," Transportation Science, INFORMS, vol. 29(2), pages 143-155, May.
    12. Gilbert Laporte & François V. Louveaux & Hélène Mercure, 1994. "A Priori Optimization of the Probabilistic Traveling Salesman Problem," Operations Research, INFORMS, vol. 42(3), pages 543-549, June.
    13. Laporte, Gilbert & Louveaux, Francois & Mercure, Helene, 1989. "Models and exact solutions for a class of stochastic location-routing problems," European Journal of Operational Research, Elsevier, vol. 39(1), pages 71-78, March.
    14. Angel Alejandro Juan & Carlos Alberto Mendez & Javier Faulin & Jesica De Armas & Scott Erwin Grasman, 2016. "Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges," Energies, MDPI, vol. 9(2), pages 1-21, January.
    15. Stewart, William R. & Golden, Bruce L., 1983. "Stochastic vehicle routing: A comprehensive approach," European Journal of Operational Research, Elsevier, vol. 14(4), pages 371-385, December.
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    6. Martínez González, Aldemar & Lesme Jaén, René & Silva Lora, Electo Eduardo, 2020. "Thermodynamic assessment of the integrated gasification-power plant operating in the sawmill industry: An energy and exergy analysis," Renewable Energy, Elsevier, vol. 147(P1), pages 1151-1163.
    7. Eliana M. A. Guerreiro & Maicon Silva & Marcio Guerreiro & Taís Carvalho & Attilio Converti & Hugo Valadares Siqueira & Cassiano Moro Piekarski, 2022. "Framework for Optimized Analysis of Waste Bioenergy Projects," Energies, MDPI, vol. 15(17), pages 1-15, August.
    8. Hugo Guzmán-Bello & Iosvani López-Díaz & Miguel Aybar-Mejía & Jose Atilio de Frias, 2022. "A Review of Trends in the Energy Use of Biomass: The Case of the Dominican Republic," Sustainability, MDPI, vol. 14(7), pages 1-27, March.

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