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Bioenergy Systems Planning Using Location–Allocation and Landscape Ecology Design Principles

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  • Henry Venema
  • Paul Calamai

Abstract

Rural energy planning is a nexus of sustainable development issues, particularly the sustainable utilization of biomass resources, on which rural parts of the developing world remain critically dependent. A landscape based rural bioenergy planning framework is presented, which is based on location–allocation and landscape ecology principles and considers both domestic and commercial energy demands and energy flows, as well as the landscape impact of the required bioenergy production zones. p-median modelling principles underly the location–allocation formulation. Optimized bioenergy landscape designs are presented, which illustrate both accessibility and landscape ecology objectives. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • Henry Venema & Paul Calamai, 2003. "Bioenergy Systems Planning Using Location–Allocation and Landscape Ecology Design Principles," Annals of Operations Research, Springer, vol. 123(1), pages 241-264, October.
    • Handle: RePEc:spr:annopr:v:123:y:2003:i:1:p:241-264:10.1023/a:1026135632158
    DOI: 10.1023/A:1026135632158
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    Citations

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    Cited by:

    1. 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.
    2. Dimitris Fotakis & Epameinondas Sidiropoulos, 2014. "Combined land-use and water allocation planning," Annals of Operations Research, Springer, vol. 219(1), pages 169-185, August.
    3. Nogueira, Luiz Augusto Horta & Antonio de Souza, Luiz Gustavo & Cortez, Luís Augusto Barbosa & Leal, Manoel Regis Lima Verde, 2017. "Sustainable and Integrated Bioenergy Assessment for Latin America, Caribbean and Africa (SIByl-LACAf): The path from feasibility to acceptability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 292-308.
    4. Leilei Zhang & Guping Hu & Lizhi Wang & Yihsu Chen, 2016. "A bottom-up biofuel market equilibrium model for policy analysis," Annals of Operations Research, Springer, vol. 236(1), pages 75-101, January.
    5. Krystel K. Castillo-Villar, 2014. "Metaheuristic Algorithms Applied to Bioenergy Supply Chain Problems: Theory, Review, Challenges, and Future," Energies, MDPI, vol. 7(11), pages 1-33, November.
    6. 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.
    7. Papapostolou, Christiana & Kondili, Emilia & Kaldellis, John K., 2011. "Development and implementation of an optimisation model for biofuels supply chain," Energy, Elsevier, vol. 36(10), pages 6019-6026.
    8. Dale, Virginia H. & Kline, Keith L. & Buford, Marilyn A. & Volk, Timothy A. & Tattersall Smith, C. & Stupak, Inge, 2016. "Incorporating bioenergy into sustainable landscape designs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1158-1171.
    9. Leilei Zhang & Guping Hu & Lizhi Wang & Yihsu Chen, 2016. "A bottom-up biofuel market equilibrium model for policy analysis," Annals of Operations Research, Springer, vol. 236(1), pages 75-101, January.
    10. Vassiliki Kazana & Angelos Kazaklis & Dimitrios Raptis & Christos Stamatiou, 2020. "A combined multi-criteria approach to assess forest management sustainability: an application to the forests of Eastern Macedonia & Thrace Region in Greece," Annals of Operations Research, Springer, vol. 294(1), pages 321-343, November.

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