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Dynamic Simulation and Comparison of Different Configurations for a Coupled Energy System with 100Renewables

机译:100%可再生能源耦合能源系统不同配置的动态仿真与比较

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For the successful transition to a renewable energy source powered society, coupling of different energy sectors is inevitable. The extreme case of a future German energy system consisting of power, heat and gas consumers supplied with 100%renewables is analyzed here. To find the most cost-effective system configuration, different combinations of storage and conversion technologies are compared by performing dynamic simulations and evaluating the average costs over the period of one year. Renewable power production is modeled by using actual power-generation curves and extrapolating the installed power for each technology according to the German energy system framework. Final energy curves for power, heat and gas demand are created as a result of the study. The gas demand only arises from industries using hydrocarbons as a product in processes and for high temperature process heat. The components of the energy system, e.g. storage and conversion technologies are modeled using the equation-based open-source TransiEnt Library based on Modelica. To obtain the boundaries of the solution scope, the comparison is started by analyzing homogeneous scenarios, e.g. All-Electric or All-Gas with Power-to-Gas with reconversion to power and heat. To find the optimal configuration within this scope, different combinations of power (adiabatic compressed air energy storage (A-CAES), lithium-ion battery, pumped hydro storage), heat storage (hot water storage) and gas storage (underground storage) technologies as well as conversion technologies, i.e. Power-to-Gas (electrolyzer with methanation), Power-to-Heat (electric heat pump, electric boiler), Gas-to-Heat (gas boiler, gas heat pump), and Gas-to-Power (gas turbine, combined cycle gas turbine) are simulated. The results show that a homogeneous energy system configuration where all services are supplied by either power or gas are technically possible but not economic. Due to the limited technical potential of renewables, ecological feasibility of All-Gas systems is limited. A combination of Power-to-Gas with combined cycle gas turbines, electric heat pumps, a lithium-ion battery and pumped hydro storage is the option with the lowest cost. Using an A-CAES instead of the battery or adding an A-CAES to the battery does not lower the cost.
机译:为了成功过渡到可再生能源动力社会,不同能源部门的耦合是不可避免的。这里分析了由100%可再生能源提供的电力,热量和燃气消费者组成的未来德国能源系统的极端情况。为了找到最具成本效益的系统配置,通过执行动态仿真和评估一年的平均成本,比较不同的存储和转换技术的不同组合。可再生电力生产是通过使用实际发电曲线建模的,并根据德国能源系统框架使用实际的发电曲线并推断为每种技术的安装功率。由于该研究产生的电力,热量和气体需求的最终能量曲线。燃气需求仅由使用碳氢化合物作为工艺中的产品和高温工艺热量的产业。能量系统的组件,例如,使用基于Modelica的公式的开源瞬态库进行建模存储和转换技术。为了获得解决方案范围的边界,通过分析均匀场景,例如,开始比较。全电气或全体气体,带有电力 - 气体,重新转化为电力和热量。为了在此范围内找到最佳配置,不同的电源组合(绝热压缩空气储能(A-CAES),锂离子电池,泵送水力储存),蓄热(热水储存)和储气(地下储存)技术以及转换技术,即电力 - 天然气(电解器,带甲烷化),电热(电热泵,电锅炉),气体热(燃气锅炉,气体热泵)和气体到 - 模拟 - 功率(燃气轮机,组合循环燃气轮机)进行了模拟。结果表明,通过任何服务或天然气提供所有服务的均匀能量系统配置在技术上是可能的,但不经济。由于可再生能源的技术潜力有限,所有气体系统的生态可行性有限。具有组合循环燃气轮机,电热泵,锂离子电池和泵送水电储存的能量与气体的组合是具有最低成本的选项。使用A-CAES而不是电池或向电池添加A-CAES不会降低成本。

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