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Optimal running and planning of a biomass-based energy production process

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  • Bruglieri, Maurizio
  • Liberti, Leo
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    Abstract

    We propose mathematical programming models for solving problems arising from planning and running an energy production process based on burning biomasses. The models take into account different aspects of the problem: determination of the biomasses to produce and/or buy, transportation decisions to convey the materials to the respective plants, and plant site locations. Whereas the "running model" is linear, we propose two "planning models", both of which are mixed-integer nonlinear programming problems. We show that a spatial branch-and-bound type algorithm applied to them is guaranteed to converge to an exact optimum in a finite number of steps.

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    File URL: http://www.sciencedirect.com/science/article/B6V2W-4S02874-2/1/e02e3571bc4727cd7fb1b1988d32ae35
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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 36 (2008)
    Issue (Month): 7 (July)
    Pages: 2430-2438

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    Handle: RePEc:eee:enepol:v:36:y:2008:i:7:p:2430-2438

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    Web page: http://www.elsevier.com/locate/enpol

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    1. Soylu, Ahu & Oruc, Cihan & Turkay, Metin & Fujita, Kaoru & Asakura, Tatsuyuki, 2006. "Synergy analysis of collaborative supply chain management in energy systems using multi-period MILP," European Journal of Operational Research, Elsevier, vol. 174(1), pages 387-403, October.
    2. Hansen, Pierre & Mladenovic, Nenad, 2001. "Variable neighborhood search: Principles and applications," European Journal of Operational Research, Elsevier, vol. 130(3), pages 449-467, May.
    3. Lund, Henrik & Munster, Ebbe, 2006. "Integrated energy systems and local energy markets," Energy Policy, Elsevier, vol. 34(10), pages 1152-1160, July.
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    Cited by:
    1. Nasiri, Fuzhan & Zaccour, Georges, 2009. "An exploratory game-theoretic analysis of biomass electricity generation supply chain," Energy Policy, Elsevier, vol. 37(11), pages 4514-4522, November.
    2. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Tan, Q., 2009. "Identification of optimal strategies for energy management systems planning under multiple uncertainties," Applied Energy, Elsevier, vol. 86(4), pages 480-495, April.

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