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GIS applied to location of bioenergy plants in tropical agricultural areas

Author

Listed:
  • Costa, Fabrício Rodrigues
  • Ribeiro, Carlos Antonio Alvares Soares
  • Marcatti, Gustavo Eduardo
  • Lorenzon, Alexandre Simões
  • Teixeira, Thaisa Ribeiro
  • Domingues, Getulio Fonseca
  • Castro, Nero Lemos Martins de
  • Santos, Alexandre Rosa dos
  • Soares, Vicente Paulo
  • Menezes, Sady Júnior Martins da Costa de
  • Mota, Pedro Henrique Santos
  • Telles, Lucas Arthur de Almeida
  • Carvalho, José Romário de

Abstract

This study aimed to develop an optimal set and size model of bioenergy facilities using a GIS framework. Data from sugarcane plantations were used to create case scenarios. Spatial analysis was accomplished by applying a two-phase approach: identification of suitable zones to locate bioenergy facilities and identification of ideal areas. These analyses led to a location-allocation model, using Maximize Capacitated Coverage option, in order to assign sugarcane supply areas to potential bioenergy facilities. Nine themes, as well their respective weights, generated by AHP, were used to create a visual depiction of potential sites. This layer was reclassified into five categories, using Natural Breaks (Jenks) method. Various scenarios of bioenergy plants installation were simulated. Around 50% of the area is unsuitable for bioenergy plants. A total of 1,737 potential sites were detected for implanting bioenergy plants. The best regions to locate bioenergy plants were peripheral areas. Cumulative biomass transportation distances dramatically reduce as the number of facilities increases. There is a reduction of 31% in total and average distances when comparing a 4-plant scenario with a single plant scenario. Proposed scenarios can support decision making with different numbers of bioenergy plants. Proposed methodology can be adapted to areas of other countries.

Suggested Citation

  • Costa, Fabrício Rodrigues & Ribeiro, Carlos Antonio Alvares Soares & Marcatti, Gustavo Eduardo & Lorenzon, Alexandre Simões & Teixeira, Thaisa Ribeiro & Domingues, Getulio Fonseca & Castro, Nero Lemos, 2020. "GIS applied to location of bioenergy plants in tropical agricultural areas," Renewable Energy, Elsevier, vol. 153(C), pages 911-918.
    • Handle: RePEc:eee:renene:v:153:y:2020:i:c:p:911-918
    DOI: 10.1016/j.renene.2020.01.050
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    2. Francesco Latterini & Walter Stefanoni & Alessandro Suardi & Vincenzo Alfano & Simone Bergonzoli & Nadia Palmieri & Luigi Pari, 2020. "A GIS Approach to Locate a Small Size Biomass Plant Powered by Olive Pruning and to Estimate Supply Chain Costs," Energies, MDPI, vol. 13(13), pages 1-17, July.

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