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Optimizing the location of biomass energy facilities by integrating Multi-Criteria Analysis (MCA) and Geographical Information Systems (GIS)

Citation

Woo, H and Acuna, M and Moroni, M and Taskhiri, MS and Turner, P, Optimizing the location of biomass energy facilities by integrating Multi-Criteria Analysis (MCA) and Geographical Information Systems (GIS), Forests, 9, (10) Article 585. ISSN 1999-4907 (2018) [Refereed Article]


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Copyright Statement

2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.3390/f9100585

Abstract

Internationally forest biomass is considered to be a valuable renewable energy feedstock. However, utilization of forest harvesting residues is challenging because they are highly varied, generally of low quality and usually widely distributed across timber harvesting sites. Factors related to the collection, processing and transport impose constraints on the economic viability of residue utilization operations and impact their supply from dispersed feedstock locations. To optimize decision-making about suitable locations for biomass energy plants intending to use forest residues, it is essential to factor in these supply chain considerations. This study conducted in Tasmania, Australia presents an investigation into the integration of Multi-criteria analysis (MCA) and Geographical Information systems (GIS) to identify optimal locations for prospective biomass power plants. The amount of forest harvesting biomass residues was estimated based on a non-industrial private native resource model in Tasmania (NIPNF). The integration of MCA and a GIS model, including a supply chain cost analysis, allowed the identification and analysis of optimal candidate locations that balanced economic, environmental, and social criteria within the biomass supply. The study results confirm that resource availability, land use and supply chain cost data can be integrated and mapped using GIS to facilitate the determination of different sustainable criteria weightings, and to ultimately generate optimal candidate locations for biomass energy plants. It is anticipated that this paper will make a contribution to current scientific knowledge by presenting innovative approaches for the sustainable utilization of forest harvest residues as a resource for the generation of bioenergy in Tasmania.

Item Details

Item Type:Refereed Article
Keywords:biomass supply chain optimization, facility location, multi-criteria analysis, analytic hierarchy process, GIS
Research Division:Information and Computing Sciences
Research Group:Information Systems
Research Field:Information Systems Management
Objective Division:Energy
Objective Group:Renewable Energy
Objective Field:Biofuel (Biomass) Energy
UTAS Author:Woo, H (Mr Heesung Woo)
UTAS Author:Acuna, M (Mr Mauricio Acuna)
UTAS Author:Taskhiri, MS (Dr Mohammad Sadegh Taskhiri)
UTAS Author:Turner, P (Associate Professor Paul Turner)
ID Code:128424
Year Published:2018
Web of Science® Times Cited:4
Deposited By:Information and Communication Technology
Deposited On:2018-09-21
Last Modified:2019-02-26
Downloads:29 View Download Statistics

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