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Optimal Investment Decisions in Integrated Energy Systems: The Case of Power-to-Gas

机译:集成能源系统中最佳投资决策:电力到气体的情况

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Energy systems based on renewable energy sources (RES) have an increasing demand for flexibility. Beyond traditional sources of flexibility, energy systems integration (ESI), i.e. increasing integration between energy pathways that were traditionally considered in isolation and making use of the arising synergies, is a valuable but yet largely untapped source of flexibility. In this paper, we analyse the possibility to integrate the power and gas systems more strongly through power-to-gas (PtG) as one such ESI option. PtG, is a technology that converts electrical power to gas fuel. It has gained increasing attention recently but the majority of existing research focuses on the technology itself without considering system effects. Those studies that consider the system are mostly limited to analysing the system impact when adding a predefined capacity of PtG on the system. Finally, there are a small number of studies that consider PtG expansion as an endogenous optimisation variable but these studies are based on least cost optimisation models exclusively, i.e. they may find that a certain amount of PtG is beneficial for the system but shed no light on whether it proves optimal for any of the market participants to make this investment. In analysing the role of PtG in a future energy system we therefore wish to understand what level of PtG is optimal, what determines this level, and which market player(s), if any, have an incentive to invest in this technology. Thus, we develop a model which endogenises the PtG investment decision and which considers the optimisation problems of the different market participants individually.
机译:基于可再生能源(RES)的能源系统具有越来越大的灵活性需求。超越的灵活性传统光源,能量系统集成(ESI),即增加了隔离和利用而产生的协同效应被认为是传统的能源途径之间的集成,是的灵活性价值,但尚未尚未开发的来源。在本文中,我们分析了通过作为一种这样的ESI选项来更强烈地将功率和气体系统集成为一体的电力和气体系统。 PTG是一种将电力转换为燃气燃料的技术。最近它越来越高,但大多数现有研究都侧重于该技术本身而不考虑系统效应。考虑该系统的研究主要是仅限于在系统上添加PTG的预定义容量时分析系统影响。最后,存在少数研究,以考虑PTG扩展作为内源性优化变量,但这些研究基于最小的成本优化模型,即他们可能会发现一定量的PTG对系统有益,但揭示了棚屋是否证明了任何市场参与者就可以实现这一投资。在未来的能源系统的PtG分析的作用,因此,我们希望了解的PtG的水平是最优的,什么决定了这个水平,以及市场参与者(S),如果有的话,有动力投资于这项技术。因此,我们开发了一种内源性的模型,该模型是PTG投资决策,并考虑单独的不同市场参与者的优化问题。

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