首页> 外文会议>European biomass conference and exhibition >A GIS-BASED MULTI-CRITERIA APPROACH TO IDENTIFY SUITABLE LOCATIONS FOR BIOMASS ENERGY-FACILITIES. THE CASE STUDY OF THE FOGGIA PROVINCE.
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A GIS-BASED MULTI-CRITERIA APPROACH TO IDENTIFY SUITABLE LOCATIONS FOR BIOMASS ENERGY-FACILITIES. THE CASE STUDY OF THE FOGGIA PROVINCE.

机译:基于GIS的多准则方法来确定生物质能设施的合适位置。 FOGGIA省的案例研究。

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a wide set of multiple economic, social and environmental factors are generally involved in the choiceof suitable locations for biomass energy plants. Feasible alternatives with respect to specific issues should beproposed and evaluated. The purpose of this work is to point out a methodology that, according to a specific set ofcriteria, identifies and delimits the most suitable geographic areas to be addressed as proper location of a bio-energyplant. A case study was developed with specific reference to the Foggia Province, a large agricultural district in theApulia region (South East of Italy). Residues from winter cereal crops, olive grove and vineyard pruning were thebiomass feedstock considered. This kind of biomass resources is largely available in the area, showing quite highaverage values of spatial density (approximately 30-70 t km-2) but considerably variable among different areas of thesame district. An Analytic Hierarchy Process-Ordered Weighted Averaging (AHP-OWA) was applied through theuse of the FLOWA software (Fuzzy Linguistic-OWA). This tool applies fuzzy quantifiers within ArcGIS, allowing amulti-criteria decision analysis, a land clustering procedure useful to decide the location of energy plants, asupporting land information system for energy planning.
机译:选择通常涉及多种多样的经济,社会和环境因素 生物质能发电厂的合适位置。关于具体问题的可行替代方案应是 提出并评估。这项工作的目的是指出一种方法,根据一组特定的 标准,确定并划定最合适的地理区域,作为生物能源的正确位置 植物。专门针对福贾省(该省的一个农业大区)进行了案例研究。 普利亚地区(意大利东南部)。来自冬季谷物作物,橄榄树和葡萄园修剪的残留物是 考虑生物质原料。这种生物质资源在该地区大部分可用,显示出很高的水平。 空间密度的平均值(大约30-70 t km-2),但在不同区域之间差异很大 同一地区。通过层次分析法应用层次分析法排序的加权平均(AHP-OWA) 使用FLOWA软件(Fuzzy Linguistic-OWA)。该工具可在ArcGIS中应用模糊量词,从而可以 多标准决策分析,可用于确定能源工厂位置的土地聚类程序, 支持土地信息系统进行能源规划。

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