Skip to main navigation Skip to search Skip to main content

Quantifying the impacts of national renewable electricity ambitions using a North-West European electricity market model

  • Economic and Social Research Institute

Research output: Contribution to journalArticlepeer-review

Abstract

This work builds a comprehensive North-West European Electricity Market model for the year 2020 and uses it to quantify the impacts of ambitious national renewable electricity targets. The geographical coverage of the model comprises Germany, France, Belgium, Netherlands, Luxemburg, Great Britain and Ireland. The model simulates the electricity market operation for the entire region at half hourly resolution and produces results in terms of electricity prices, cross border flows, emissions and associated total system costs. The impact of two carbon prices is examined within the model. Results highlight the policy challenges that arise when individual Member States formulate renewable energy plans in isolation in the absence of integrated modelling of interconnected regions as cross border power flows play a more significant role in market dynamics especially in the presence of geographically dispersed variable renewable generation sources such as wind and solar. From a policy perspective results suggest that based on these national plans, congestion will be present on a number of key lines at long periods during the year.

Original languageEnglish
Pages (from-to)604-609
Number of pages6
JournalRenewable Energy
Volume80
DOIs
Publication statusPublished - 1 Aug 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Electricity
  • European market integration
  • Market modelling

Fingerprint

Dive into the research topics of 'Quantifying the impacts of national renewable electricity ambitions using a North-West European electricity market model'. Together they form a unique fingerprint.

Cite this