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The role of decentralized generation and storage technologies in future energy systems planning for a rural agglomeration in Switzerland

机译:分布式发电和存储技术在瑞士农村集聚区未来能源系统规划中的作用

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This study presents a framework to quantitatively evaluate decentralized generation and storage technology (DGST) performance and policy impacts in a rural setting. The role of DGSTs in the future energy systems planning of a rural agglomeration in Switzerland is examined using a cost optimization modeling approach. Heat and electricity demand for major sectors are considered. Scenarios introduce DGSTs in a stepwise manner to measure incremental impacts on future capacity planning compared to a baseline scenario. Sub-scenarios also examine the impacts of carbon mitigation policies, and a sensitivity analysis is carried out for key energy carriers and conversion technologies. DGSTs enable a significant reduction in electricity grid usage for the community considered. Small hydro with a storage reservoir and photovoltaics enable the community to become largely self-sufficient with over 80% reductions in grid imports by 2050 compared to the baseline scenario. Storage enables maximum usage of the available hydro potential which also leads to network upgrade deferrals and a significant increase in photovoltaic installations. Investment decisions in small hydro are robust against cost variations, while heating technology investment decisions are sensitive to oil and grid electricity prices. Carbon pricing policies are found to be effective in mitigating local fossil fuel emissions. (C) 2016 Elsevier Ltd. All rights reserved.
机译:这项研究提供了一个框架,可以定量评估农村地区的分散式发电和存储技术(DGST)的绩效和政策影响。使用成本优化模型方法研究了DGST在瑞士农村集聚区未来能源系统规划中的作用。考虑了主要行业的热力和电力需求。方案以逐步方式引入DGST,以测量与基准方案相比对未来容量规划的增量影响。子场景还研究了碳减排政策的影响,并对关键的能源载体和转换技术进行了敏感性分析。 DGST可为所考虑的社区大幅减少电网使用。带有水库和光伏发电装置的小型水电使社区变得基本自给自足,与基准情景相比,到2050年电网进口减少了80%以上。储存可以最大程度地利用可用的水电势,这也将导致网络升级延迟,并大大增加光伏设备的安装。小型水力发电的投资决策对成本变化具有较强的抵抗力,而供热技术投资决策对石油和电网电价敏感。发现碳定价政策在减轻当地化石燃料的排放方面是有效的。 (C)2016 Elsevier Ltd.保留所有权利。

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