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The School carries out applied research with the purpose of developing economically, legally, and socially-sound regulation and policy, using a multidisciplinary approach.

Cross-border solidarity versus national capacity markets : risk of inadequate capacity procurement

In Europe, capacity markets are currently designed and operated at the national level, which can give rise to non-cooperative behavior. Member States may strategically...

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Reflections on climate resilient tourism : evidence for the EU ETS-2 and voluntary carbon markets
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Research on the impact of urban rail transit on the financing constraints of enterprises from the perspective of sustainability
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Technical Report

The EU electricity network codes (2019 ed.)

The EU network codes and guidelines are a detailed set of rules pushing for the harmonisation of national electricity markets and regulations. A total of eight network codes and guidelines entered into force by the end of 2017: three grid connection codes (RfG NC, DC NC and HVDC NC), three market codes (FCA GL, CACM GL and EB GL), and two operation codes (SO GL and ER NC). The major part of this text covers the market codes. The reader is guided through the sequence of electricity markets in place in the EU: forward markets, the day-ahead market, the intraday market and finally the balancing markets. The establishment of these different markets in a national context is discussed and their integration. Additionally, also two connection codes (RfG NC and DC NC) are discussed; the scope of theses codes is described and technical requirements are clarified. Where relevant, the link between the system operation guideline (SO GL) and the market or connection codes is made. In each section, basic market design or more technical concepts are explained, we highlight what is in the codes, and we also refer to some of the relevant academic literature.

SCHITTEKATTE, Tim; REIF, Valerie; MEEUS, Leonardo, The EU electricity network codes (2019 ed.) - hdl.handle.net

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Tim Schittekatte KB ZB
Nicolò Rossetto TJ ML LS AS
ECSM
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