Fuzzy spatial decision tool to rank suitable sites for allocation of bioenergy plants based on crop residue

Abstract

Agriculture crop residues represent one of the largest and most diversified sources for producing bio-fuel. However, these resources are highly heterogeneous in terms of the physicochemical properties, spatial distribution and logistics associated costs. These factors are the major bottlenecks hindering the success of biomass energy conversion facilities that use crop residues. The purpose of this study was to develop an integrated GIS-based Fuzzy AHP methodology. This approach combines both spatial and non-spatial factors, such as the logistics factor, transport cost indicators, and technical and geographic restrictions in the study area. The identification of these factors for the actors involved in energy planning provides at a broad-scale multidimensional analysis that allows for the identification of the best sites for a bioenergy plant. This methodology was applied in the department of Santander (Colombia) due to its intense agricultural activity, reflecting the important energy potential of biomass. For three cocoa crop residues evaluated (pruning, rejected and cocoa pod husk), it was possible to identify 12 ideal places to install a bioenergy plant using this approach. The capacity of these biomass plants varies between 52,475 and 146,791 t/year, corresponding to 171 and 479 TJ/year, respectively.