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Minimising carbon footprint of regional biomass supply chains

机译:最大限度地减少区域生物质供应链的碳足迹

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摘要

A new method for regional energy targeting and supply chain synthesis is presented. A demand-driven approach is applied to assess the feasible ways for transferring energy from renewable sources to customers in a given region. The studied region is partitioned into a number of clusters by using the developed Regional Energy Clustering (REC) algorithm. The REC targets aim at minimising the system carbon footprint (CFP). The biomass energy supply and management are targeted using new graphical representations. Regional Energy Surplus-Deficit Curves (RESDC) visualises the formation and the sizes of introduced energy clusters. Regional Resource Management Composite Curve (RRMCC) an analogy of the Process Integration approach shows the energy imbalances helping in trading-off resources management. These graphical tools provide straightforward information of how to manage the surplus resources (biomass and land use) in a region.
机译:提出了一种新的区域能源目标和供应链综合方法。以需求为导向的方法可用于评估将能源从可再生资源传输到给定区域的客户的可行方法。通过使用开发的区域能源聚类(REC)算法,将研究区域划分为多个聚类。 REC目标旨在最小化系统的碳足迹(CFP)。使用新的图形表示来确定生物质能源的供应和管理目标。区域能源盈余-赤字曲线(RESDC)可视化了引入的能源集群的形成和规模。区域资源管理综合曲线(RRMCC)与过程集成方法类似,显示了能源失衡,有助于权衡资源管理。这些图形工具提供了有关如何管理区域中剩余资源(生物质和土地使用)的直接信息。

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