Abstract
Optimizing a biomass facility site is a critical concern that is currently receiving an increased attention because of geographically spread biomass feedstock. This research presents a multicriteria GIS assessment with Weighted Linear Combination (WLC) (most suitable areas) and a sensitivity analysis (implementation strategies) applied to various disciplines using suitable criteria to optimize a biomass facility location in the context of renewable energies respecting the environment. The analyses of results with twelve criteria show the most suitable areas (9.25%) and constraints in a case study in Extremadura (Spain), where forest and agriculture are typical for land uses. Thus, the sensitivity analysis demonstrates the insight of the most influential criteria for supporting energy planning decisions. Therefore, this assessment could be used in studies to verify suitable biomass plants sites with corresponding geographical and spatial circumstances and available spatial data necessary in various governmental and industrial sectors.
Highlights
Numerous researchers have studied on the suitability of the location of biomass facilities at different regional, national and international levels as part of the handling problems [1,2,3,4]
With the combination of Multicriteria Decision Analysis (MCDA), decision-makers can distinguish the present state of matters and some notion of future settings in energy management [12,13,14]
The analyses of results with twelve criteria conclude that the most suitable locations are close to forest and agricultural areas with 9.25% of the case study area with the most influential criteria: vegetation type under environmental criteria
Summary
Numerous researchers have studied on the suitability of the location of biomass facilities at different regional, national and international levels as part of the handling problems [1,2,3,4]. To assess the potentials of a biomass facility, its geographic and spatial distribution and dissemination is a vital feature to be investigated [1,5]. The Geographic Information System (GIS) is considered as an important tool of methods applied in the process of location optimization [6,7]. The GIS can investigate the location in depth enabling to analyze large spatial data volumes in order to visualize geographical expression of different societies’ activities [8,9,10,11]. According to Herrea-Seara et al [15], MCDA was used to select the optimal biomass power facility location and the method of Analytic Hierarchy Process (AHP)
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