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The role of photovoltaics in a sustainable European energy system under variable CO2 emissions targets, transmission capacities, and costs assumptions
Progress in Photovoltaics ( IF 8.0 ) Pub Date : 2019-11-14 , DOI: 10.1002/pip.3198
Marta Victoria 1, 2 , Kun Zhu 1 , Tom Brown 3 , Gorm B. Andresen 1, 2 , Martin Greiner 1, 2
Affiliation  

PyPSA‐Eur‐Sec‐30 is an open‐source, hourly resolved, networked model of the European energy system that includes one node per country as well as electricity, heating, and transport sectors. The capacity and dispatch of generation and storage technologies in every country can be cost optimized under different CO2 emissions constraints. This paper presents an overview of the most relevant results previously obtained with the model, highlighting the influence of solar photovoltaic (PV) generation on them. For 95% CO2 emissions reduction, relative to 1990 level, PV generation supplies in average 33% of the electricity demand. Southern European countries install large PV capacities together with electric batteries, while northern countries install onshore and offshore wind capacities and use hydrogen storage and reinforced interconnections to deal with wind fluctuations. The strong daily generation profile of solar PV heavily impacts the dispatch time series of backup generation and storage technologies. The optimal PV and wind capacities are investigated for variable CO2 emissions, transmission interconnection among neighbouring countries, and cost assumptions.

中文翻译:

在可变的CO2排放目标,传输能力和成本假设下,光伏在可持续欧洲能源系统中的作用

PyPSA‐Eur‐Sec‐30是欧洲能源系统的开放源代码,按小时解决的联网模型,每个国家/地区以及电力,供热和运输部门均包含一个节点。在不同的CO 2排放限制条件下,可以优化每个国家的发电和存储技术的能力和调度。本文概述了先前通过该模型获得的最相关结果,重点介绍了太阳能光伏(PV)发电对其的影响。对于95%CO 2相对于1990年的排放量减少,光伏发电平均满足电力需求的33%。南欧国家与光伏电池一起安装大型光伏发电容量,而北欧国家则在陆上和海上安装风力发电容量,并使用储氢和加强互连来应对风的波动。太阳能光伏强大的日发电特性极大地影响了备用发电和存储技术的调度时间序列。针对可变的CO 2排放,邻国之间的输电互连以及成本假设,研究了最佳的光伏和风能。
更新日期:2019-11-14
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