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Optimal location, technology and capacity planning of biogas production and utilization plants

机译:沼气生产和利用厂的最佳位置,技术和容量规划

摘要

In December 2013, the Italian Ministry for Economic Development finally started the long-awaited incentive program for biomethane grid injection and biomethane for transportation, which opens up new opportunities for alternative applications of biogas which are expected to bring additional environmental benefits. Because of the wider range of feasible options and of the increased complexity of incentive structures, identifying most suitable alternatives becomes more and more difficult for entrepreneurs and local authorities. Biomass feedstock is a scarce resource and the profitability, environmental and social impact of biogas projects are affected by decisions on technology, location and capacity, which are interdependent. The aim of this paper is to explore the mutual links between such decisions, and their impact on sustainability indicators at the light of Italian energy policies. Mixed integer linear programming is used to develop a biomass supply chain model to deal with strategic planning issues of biogas supply chains. The model is applied to a case study of a local community including 15 municipalities in Friuli Venezia Giulia, where a number of breeding, cropping and greenhouse farms could be involved in a joint biogas project or in the development of multiple, small scale initiatives. It is found that upgrading technologies become feasible under the new support mechanism, but optimal capacity and utilization paths are very sensitive to boundary conditions such as local feedstock and land availability.
机译:2013年12月,意大利经济发展部终于启动了期待已久的激励计划,用于注入沼气和运输沼气,这为沼气的替代应用打开了新的机遇,有望带来更多的环境效益。由于可行方案的范围越来越广,激励机制的复杂性也越来越高,对于企业家和地方政府而言,确定最合适的替代方案变得越来越困难。生物质原料是一种稀缺资源,沼气项目的盈利能力,环境和社会影响受相互依赖的技术,位置和容量决定的影响。本文的目的是根据意大利的能源政策,探讨此类决策之间的相互联系及其对可持续性指标的影响。混合整数线性规划用于开发生物质供应链模型,以处理沼气供应链的战略规划问题。该模型应用于一个包括弗留利·威尼斯·朱利亚(Friuli Venezia Giulia)的15个城市的当地社区的案例研究,该地区的许多繁殖,种植和温室农场可能参与联合沼气项目或多个小型项目的开发。发现在新的支持机制下升级技术变得可行,但是最佳容量和利用路径对边界条件(例如本地原料和土地可利用性)非常敏感。

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