Arbeitspapier

Carbon dioxide (CO2) emissions from electricity: The influence of the North Atlantic Oscillation

The North Atlantic Oscillation (NAO) is a large-scale circulation pattern driving climate variability in north-western Europe. In recent years there has been an increasing deployment of wind-powered generation technology, i.e. wind farms, on electricity networks across Europe. As this deployment increases it is important to understand how climate variability will affect both windpowered and non-renewable power generation. This study extends the literature by assessing the impact of NAO, via wind-power generation, on carbon dioxide emissions from the wider electricity system. A Monte Carlo approach is used to model NAO phases, generate hourly wind speed timeseries data, electricity demand and fuel input data. A unit commitment, least-cost economic dispatch model is used to simulate an entire electricity system, modelled on the all-island Irish electricity system. Our results confirm that the NAO has a significant impact on monthly mean wind speeds, wind power output, and carbon dioxide emissions from the entire electricity system. The impact of NAO on emissions obviously depends on the level of wind penetration within an electricity system but our results indicate that emissions intensity within the Irish electricity system could vary by as much as 10% depending on the NAO phase within the next few years. The emissions intensity of the electricity system will vary with the NAO phase.

Sprache
Englisch

Erschienen in
Series: ESRI Working Paper ; No. 510

Klassifikation
Wirtschaft
Thema
North Atlantic Oscillation
Carbon dioxide emissions
Electricity
Monte Carlo analysis
Wind energy

Ereignis
Geistige Schöpfung
(wer)
Curtis, John A.
Lynch, Muireann Á.
Zubiate, Laura
Ereignis
Veröffentlichung
(wer)
The Economic and Social Research Institute (ESRI)
(wo)
Dublin
(wann)
2015

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Curtis, John A.
  • Lynch, Muireann Á.
  • Zubiate, Laura
  • The Economic and Social Research Institute (ESRI)

Entstanden

  • 2015

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