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Geographical information system based fuzzy multi criteria analysis for sustainability assessment of biomass energy plant siting: A case study in Queensland, Australia

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  • Jayarathna, Lasinidu
  • Kent, Geoff
  • O’Hara, Ian
  • Hobson, Philip

Abstract

Biomass energy has huge potential in helping to achieve a renewable energy target to combat climate change. Many countries like Australia have huge potential for biomass energy supply from second generation biomass resources, however, the limited knowledge on the potential of these biomass resources could be a barrier to its uptake. This study developed a geographical information system based fuzzy multi criteria analysis (GIS based Fuzzy-MCA) to identify and prioritise the suitability of biomass energy plant sites for the sustainable use of biomass. The analysis was carried out in Queensland, Australia as a case study, demonstrating the potential of multiple biomass types for multiple products (thermal energy and bioelectricity supply). Using local sustainability constraints and criteria, the study identified potential biomass energy plant (57) sites in the East, South-East and North-West regions of the state where there are vacant lands and required infrastructure. Moreover, the high-resolution assessment of sustainably available biomass can have a significant impact on suitability of the location and the plant capacity. The potential biomass energy plants could generate electricity satisfying a substantial portion of Australian bioelectricity goals and mandates. The methodology could further be used in national-scale assessment, considering biomass incentive programs and government policies to maximise public benefit and private investment.

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  • Jayarathna, Lasinidu & Kent, Geoff & O’Hara, Ian & Hobson, Philip, 2022. "Geographical information system based fuzzy multi criteria analysis for sustainability assessment of biomass energy plant siting: A case study in Queensland, Australia," Land Use Policy, Elsevier, vol. 114(C).
    • Handle: RePEc:eee:lauspo:v:114:y:2022:i:c:s0264837722000138
    DOI: 10.1016/j.landusepol.2022.105986
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