Evaluating the EU ETS impacts on profits, investments and prices of the Italian electricity market
Evaluating the EU ETS impacts on profits, investments and prices of the Italian electricity market
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DOI：
10.1016/j.enpol.2013.03.026
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发表时间：
2013-08
期刊：
影响因子：
9
通讯作者：
F. Bonenti;G. Oggioni;E. Allevi;G. Marangoni
中科院分区：
文献类型：
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作者：
F. Bonenti;G. Oggioni;E. Allevi;G. Marangoni
气候变化是一个全球性问题，但减缓其发展的行动是区域性的。欧洲通过引入排放交易计划（EU ETS）在碳排放政策方面处于领先地位，该计划以前由2003/87/EC指令监管，自2013年以来由2009/29/EC指令监管。该新指令规定了一个完整的拍卖系统，用于向电力部门分配二氧化碳配额，并鼓励使用可再生能源。我们调查的经济影响，欧盟排放交易体系对意大利电力市场的发电扩张模型。我们采用了能源市场的技术代表，也考虑到与外国的电力交换，我们假设发电机在不同的区域运行，这些区域通过有限容量的互连连接。我们研究了意大利发电商的寡头垄断和完全竞争行为，并比较了不同欧盟ETS方案下的相应结果。我们的分析表明，在完全竞争的情况下，发电商的投资一般会高于寡头垄断框架下的投资，但在这两种市场配置下，意大利的投资主要集中在化石燃料发电厂，尤其是在2020年。当对可再生能源给予激励时，也会发生这种情况。开发的模型实现互补问题，并解决GAMS使用路径求解器。
Climate change is a global issue, but actions to mitigate its development are regional. Europe has taken the leadership in the carbon emission policy by introducing the Emissions Trading Scheme (EU ETS), formerly regulated by Directive 2003/87/EC and since 2013 by Directive 2009/29/EC. This new Directive imposes a full auctioning system for allocating CO2allowances to the power sector and encourages the use of renewable energy sources. We investigate the economic impacts of the EU ETS on the Italian electricity market using a power generation expansion model. We adopt a technological representation of the energy market that also accounts for power exchanges with foreign countries and we assume that generators operate in different zones connected by interconnections with limited capacity. We study both an oligopolistic and a perfectly competitive behavior of Italian generators and we compare the corresponding outcomes under different EU ETS scenarios. Our analysis shows that, in perfect competition, generators generally invest more than in an oligopolistic framework, but in both market configurations, investments in Italy are mainly concentrated in fossil-fired plants, especially in 2020. This happens also when incentives are given to renewables. The developed models are implemented as complementarity problems and solved in GAMS using the PATH solver.