The impact of the North Atlantic Oscillation on electricity markets: A case study on Ireland

被引:11
作者
Curtis, John [1 ,2 ]
Lynch, Muireann A. [1 ,2 ]
Zubiate, Laura [3 ]
机构
[1] Econ & Social Res Inst, Dublin, Ireland
[2] Trinity Coll Dublin, Dublin, Ireland
[3] Univ Coll Dublin, Sch Geol Sci, Dublin, Ireland
关键词
North Atlantic Oscillation; NAO; Electricity; Wind; Prices; Subsidy; WIND GENERATION; POWER VARIABILITY; CO2; EMISSIONS; PRICES; SYSTEM; METHODOLOGY; COMMITMENT; REANALYSIS; CAPACITY; BENEFITS;
D O I
10.1016/j.eneco.2016.07.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
The North Atlantic Oscillation (NAO) is a large-scale atmospheric circulation pattern driving climate variability in north-western Europe. As the deployment of wind-powered generation expands on electricity networks across Europe, the impacts of the NAO on the electricity system will be amplified. This study assesses the impact of the NAO, via wind-power generation, on the electricity market considering thermal generation costs, wholesale electricity prices and wind generation subsidies. A Monte Carlo approach is used to model NAO phases and generate hourly wind speed time-series data, electricity demand and fuel input data. A least-cost unit commitment and economic dispatch model is used to simulate an island electricity system, modelled on the all-island Irish electricity system. The impact of the NAO obviously depends on the level of wind capacity within an electricity system. Our results indicate that on average a switch from negative to positive NAO phase can reduce thermal generation costs by up to 8%, reduce wholesale electricity prices by as much as 1.5/MWh, and increase wind power generators' revenue by 12%. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:186 / 198
页数:13
相关论文
共 75 条
[1]  
[Anonymous], 1989, EUROPEAN WIND ATLAS
[2]   Coherent measures of risk [J].
Artzner, P ;
Delbaen, F ;
Eber, JM ;
Heath, D .
MATHEMATICAL FINANCE, 1999, 9 (03) :203-228
[3]   Influence of wind power on hourly electricity prices and GHG (greenhouse gas) emissions: Evidence that congestion matters from Ontario zonal data [J].
Ben Amor, Mourad ;
de Villemeur, Etienne Billette ;
Pellat, Marie ;
Pineau, Pierre-Olivier .
ENERGY, 2014, 66 :458-469
[4]   The impact of large scale atmospheric circulation patterns on wind power generation and its potential predictability: A case study over the UK [J].
Brayshaw, David James ;
Troccoli, Alberto ;
Fordham, Rachael ;
Methven, John .
RENEWABLE ENERGY, 2011, 36 (08) :2087-2096
[5]   Is the NAO winter index a reliable proxy for wind climate and storminess in northwest Europe? [J].
Burningham, Helene ;
French, Jon .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2013, 33 (08) :2036-2049
[6]  
Burton T, 2011, WIND ENERGY HDB, DOI DOI 10.1002/9781119992714
[7]   A methodology for the synthetic generation of hourly wind speed time series based on some known aggregate input data [J].
Carapellucci, Roberto ;
Giordano, Lorena .
APPLIED ENERGY, 2013, 101 :541-550
[8]  
CER NIAUR, 2013, ROUND 5 R5 SEM PLEX
[9]   Modeling Greenhouse Gas Reduction From the Australian Electricity Sector [J].
Chattopadhyay, Deb .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (02) :729-740
[10]   A sequential Monte Carlo model of the combined GB gas and electricity network [J].
Chaudry, Modassar ;
Wu, Jianzhong ;
Jenkins, Nick .
ENERGY POLICY, 2013, 62 :473-483