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eTransport: Investment planning in energy supply systems with multiple energy carriers

机译:电子运输:具有多个能源载体的能源供应系统的投资计划

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摘要

The need for local energy planning is not reduced after liberalization. Both integrated energy companies and local governments have to consider alternative solutions across traditional supply and demand sectors and make plans for the total integrated energy infrastructure. This situation has created a need for new improved methodologies and tools for system planning and operation that include multiple energy carriers and sufficient topological details. In this paper, a novel optimisation model 'eTransport' is presented that takes into account both the topology of multiple energy infrastructures and the technical and economic properties of different investment alternatives. The model minimises total energy system cost (investments, operation and emissions) of meeting predefined energy demands of electricity, gas, space heating and tap water heating within a geographical area over a given planning horizon, including alternative supply infrastructures for multiple energy carriers. The model employs a nested optimisation, calculating both the optimal diurnal operation of the energy system and the optimal expansion plan typically 20-30 years into the future. The model is tested on a number of real case studies, and a full graphical user interface has been implemented. A sample case study is included to demonstrate the use of the model.
机译:自由化后,对当地能源规划的需求不会减少。综合能源公司和地方政府都必须考虑跨传统供需部门的替代解决方案,并制定整体综合能源基础设施的计划。这种情况引起了对用于系统规划和操作的新的改进方法和工具的需求,这些方法和工具包括多个能量载体和足够的拓扑细节。在本文中,提出了一种新颖的优化模型“ eTransport”,该模型同时考虑了多个能源基础设施的拓扑结构以及不同投资替代方案的技术和经济特性。该模型可最大程度地降低能源系统的总成本(投资,运营和排放),以满足在给定规划范围内某个地理区域内的电,气,空间供暖和自来水供暖的预定义能源需求,包括多个能源载体的替代供应基础设施。该模型采用嵌套优化,可以计算能源系统的最佳日间运行情况和未来20-30年(通常)的最佳扩展计划。该模型已在许多实际案例研究中进行了测试,并且已实现了完整的图形用户界面。包括一个样本案例研究,以演示该模型的使用。

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