Competition and synergy between energy technologies in municipal energy systems
Competition and synergy between energy technologies in municipal energy systems
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DOI：
10.1016/s0360-5442(97)00037-6
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发表时间：
1997-10
期刊：
影响因子：
9
通讯作者：
T. Bruckner;H. Groscurth;R. Kümmel
中科院分区：
文献类型：
--
作者：
T. Bruckner;H. Groscurth;R. Kümmel
动态能源优化模型deeco是分析合理利用能源和利用可再生能源的不同技术之间的竞争和协同作用的工具。对于给定的波动的热能和电力需求的时间序列，deeco计算出能量转换技术的最佳组合，同时考虑到当地的参数，如环境温度和日照。因此，该模型提供了一个灵活的工具，可以支持投资决策时，建设或改造城市能源系统。例如，deeco被应用于一个名为维尔茨堡的模型城市，该城市是基于位于德国南部的一个同名的真实的城市。燃气，中型热电联产机组被认为是最好的解决方案（30%的一次能源和2%的成本节约）的成本效益比较与系统提供热量从传统的燃油锅炉和接收电力从区域间的公共电网。分析了能源税对不同技术相对成本的影响。
The dynamic energy optimization model deeco is a tool for analyzing competition and synergy between different technologies of the rational use of energy and for utilizing renewable energies. For given time series of the fluctuating heat and electricity demand, deeco calculates the optimal combination of energy-conversion technologies while taking into account local parameters like ambient temperature and insolation. Thus, the model provides a flexible instrument which may support investment decisions when building or restructing municipal energy systems. As an example, deeco was applied to a model city called Würzburg which is based on a real city of the same name located in southern Germany. Gas-fired, medium-size cogeneration units are found to be the best solution (30% primary energy and 2% cost savings) in a cost-benefit comparison with a system providing heat from conventional oil-fired boilers and receiving electricity from the inter-regional public grid. The influence of energy taxes on relative costs of different technologies is analyzed.