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

被引:12
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, Dublin 2, Ireland
关键词
North Atlantic Oscillation; Carbon dioxide emissions; Electricity; Monte Carlo analysis; Wind energy; WIND GENERATION; POWER-SYSTEM; VARIABILITY; METHODOLOGY; INCENTIVES; COMMITMENT; BENEFITS; DISPATCH; SAVINGS; INVEST;
D O I
10.1016/j.apenergy.2015.09.056
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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 wind-powered 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 time-series 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. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:487 / 496
页数:10
相关论文
共 38 条
[21]  
2-P
[22]  
Jung Thomas, 2011, GEOPHYS RES LETT, V38
[23]   Emissions Savings from Wind Power Generation in Texas [J].
Kaffine, Daniel T. ;
McBee, Brannin J. ;
Lieskovsky, Jozef .
ENERGY JOURNAL, 2013, 34 (01) :155-175
[24]   Optimization of a combined heat and power system with wind turbines [J].
Liu, Xian .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 43 (01) :1421-1426
[25]   Risk-return incentives in liberalised electricity markets [J].
Lynch, Muireann A. ;
Shortt, Aonghus ;
Tol, Richard S. J. ;
O'Malley, Mark J. .
ENERGY ECONOMICS, 2013, 40 :598-608
[26]   Valuation anomalies for interconnector transmission rights [J].
McInerney, Celine ;
Bunn, Derek .
ENERGY POLICY, 2013, 55 :565-578
[27]   Effects of the North Atlantic oscillation on the probability for climatic categories of local monthly rainfall in southern Spain [J].
Muñoz-Díaz, D ;
Rodrigo, FS .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2003, 23 (04) :381-397
[28]   European cold winter 2009-2010: How unusual in the instrumental record and how reproducible in the ARPEGE-Climat model? [J].
Ouzeau, G. ;
Cattiaux, J. ;
Douville, H. ;
Ribes, A. ;
Saint-Martin, D. .
GEOPHYSICAL RESEARCH LETTERS, 2011, 38
[29]  
Paul Deane, 2014, EC ENERGY ENV POLICY, V3
[30]   Short-term electricity planning with increase wind capacity [J].
Pereira, Sergio ;
Ferreira, Paula ;
Vaz, A. I. F. .
ENERGY, 2014, 69 :12-22