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A Honey Bee Foraging approach for optimal location of a biomass power plant

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  • Vera, David
  • Carabias, Julio
  • Jurado, Francisco
  • Ruiz-Reyes, Nicolás

Abstract

Over eight million hectares of olive trees are cultivated worldwide, especially in Mediterranean countries, where more than 97% of the world's olive oil is produced. The three major olive oil producers worldwide are Spain, Italy, and Greece. Olive tree pruning residues are an autochthonous and important renewable source that, in most of cases, farmers burn through an uncontrolled manner. Besides, industrial uses have not yet been developed. The aim of this paper consists of a new calculation tool based on particles swarm (Binary Honey Bee Foraging, BHBF). Effectively, this approach will make possible to determine the optimal location, biomass supply area and power plant size that offer the best profitability for investor. Moreover, it prevents the accurate method (not feasible from computational viewpoint). In this work, Profitability Index (PI) is set as the fitness function for the BHBF approach. Results are compared with other evolutionary optimization algorithms such as Binary Particle Swarm Optimization (BPSO), and Genetic Algorithms (GA). All the experiments have shown that the optimal plant size is 2 MW, PI = 3.3122, the best location corresponds to coordinate: X = 49, Y = 97 and biomass supply area is 161.33 km2. The simulation times have been reduced to the ninth of time than the greedy (accurate) solution. Matlab® is used to run all simulations.

Suggested Citation

  • Vera, David & Carabias, Julio & Jurado, Francisco & Ruiz-Reyes, Nicolás, 2010. "A Honey Bee Foraging approach for optimal location of a biomass power plant," Applied Energy, Elsevier, vol. 87(7), pages 2119-2127, July.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:7:p:2119-2127
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    2. Steubing, Bernhard & Ballmer, Isabel & Gassner, Martin & Gerber, Léda & Pampuri, Luca & Bischof, Sandro & Thees, Oliver & Zah, Rainer, 2014. "Identifying environmentally and economically optimal bioenergy plant sizes and locations: A spatial model of wood-based SNG value chains," Renewable Energy, Elsevier, vol. 61(C), pages 57-68.
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    13. Najafi, Fatemeh & Sedaghat, Ahmad & Mostafaeipour, Ali & Issakhov, Alibek, 2021. "Location assessment for producing biodiesel fuel from Jatropha Curcas in Iran," Energy, Elsevier, vol. 236(C).
    14. Francisco J. Ruiz-Rodríguez & Jesús C. Hernández & Francisco Jurado, 2017. "Probabilistic Load-Flow Analysis of Biomass-Fuelled Gas Engines with Electrical Vehicles in Distribution Systems," Energies, MDPI, vol. 10(10), pages 1-23, October.
    15. Shabani, Nazanin & Akhtari, Shaghaygh & Sowlati, Taraneh, 2013. "Value chain optimization of forest biomass for bioenergy production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 299-311.
    16. Wu, Juanjuan & Zhang, Jian & Yi, Weiming & Cai, Hongzhen & Li, Yang & Su, Zhanpeng, 2022. "Agri-biomass supply chain optimization in north China: Model development and application," Energy, Elsevier, vol. 239(PD).
    17. 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.
    18. Shabani, Nazanin & Sowlati, Taraneh, 2013. "A mixed integer non-linear programming model for tactical value chain optimization of a wood biomass power plant," Applied Energy, Elsevier, vol. 104(C), pages 353-361.
    19. Lim, Chun Hsion & Lam, Hon Loong & Ng, Wendy Pei Qin, 2018. "A novel HAZOP approach for literature review on biomass supply chain optimisation model," Energy, Elsevier, vol. 146(C), pages 13-25.
    20. Durusut, Emrah & Tahir, Foaad & Foster, Sam & Dineen, Denis & Clancy, Matthew, 2018. "BioHEAT: A policy decision support tool in Ireland’s bioenergy and heat sectors," Applied Energy, Elsevier, vol. 213(C), pages 306-321.
    21. 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.
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    23. Mobini, Mahdi & Sowlati, Taraneh & Sokhansanj, Shahab, 2011. "Forest biomass supply logistics for a power plant using the discrete-event simulation approach," Applied Energy, Elsevier, vol. 88(4), pages 1241-1250, April.
    24. Vera, D. & Jurado, F. & de Mena, B. & Schories, G., 2011. "Comparison between externally fired gas turbine and gasifier-gas turbine system for the olive oil industry," Energy, Elsevier, vol. 36(12), pages 6720-6730.

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