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Siting analysis of farm-based centralized anaerobic digester systems for distributed generation using GIS

机译:基于GIS的基于农场的分布式集中式厌氧消化系统选址分析

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There is growing interest in installing anaerobic digesters (ADs) on farms to use animal wastes as a biomass resource for both economic value and environmental benefit. This potential expansion prompts the need for land suitability assessment. In this paper, a GIS model is proposed for land-suitability assessment of potential energy systems featuring an AD coupled with an energy generator. A variety of environmental and social constraints, as well as economic factors are integrated in the model to help determine the optimal sites for installing such systems. The analytic hierarchy process (AHP) method is employed to estimate the factors' weights in order to establish their relative importance in site selection. The model is then applied to Tompkins County, New York as a case study for demonstration. A siting suitability map was produced to identify those areas that are most suitable for distributed bio-energy systems using dairy manure. The results showed that this GIS-based model, by integrating both spatial data and non-spatial information, was capable of providing a broad-scale and multidimensional view on the potential bio-energy systems development in the area of study to account for environmental and social constraints as well as economic factors. The model can be modified for evaluating other biomass resources.
机译:在农场上安装厌氧消化池(ADs)以利用动物粪便作为生物质资源既具有经济价值又具有环境效益的兴趣越来越高。这种潜在的扩展促使需要进行土地适宜性评估。在本文中,提出了一种GIS模型,用于以AD与能量生成器耦合的潜在能源系统的土地适宜性评估。模型中集成了各种环境和社会约束以及经济因素,以帮助确定安装此类系统的最佳地点。为了确定因素在选址中的相对重要性,采用层次分析法(AHP)来估计因素的权重。然后将该模型应用于纽约汤普金斯县,作为案例研究进行演示。绘制了选址适宜性图,以识别最适合使用乳牛粪便的分布式生物能源系统的区域。结果表明,这种基于GIS的模型通过整合空间数据和非空间信息,能够为研究领域中潜在的生物能源系统发展提供广泛的多维视图,以解决环境和环境问题。社会限制以及经济因素。可以修改该模型以评估其他生物质资源。

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