Identifying decarbonisation opportunities using marginal abatement cost curves and energy system scenario ensembles

被引:28
|
作者
Yue, Xiufeng [1 ,2 ]
Deane, J. P. [1 ,2 ]
O'Gallachoir, Brian [1 ,2 ]
Rogan, Fionn [1 ,2 ]
机构
[1] Univ Coll Cork, Environm Res Inst, Cork, Ireland
[2] Univ Coll Cork, Sch Engn, Cork, Ireland
基金
爱尔兰科学基金会; 中国国家自然科学基金;
关键词
Energy systems modelling; Marginal abatement cost curve; CO2; mitigation; Carbon Price; GENERAL EQUILIBRIUM; CLIMATE MITIGATION; CO2; EMISSIONS; MAC CURVES; CONSUMPTION; FUTURE; OPTIMIZATION; IMPACTS; CHINA; PROJECTION;
D O I
10.1016/j.apenergy.2020.115456
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 European Union has a target to reduce greenhouse gas emissions to 80% below 1990 levels by 2050 to keep global warming within 2 degrees C relative to pre-industrial levels. The more recent Paris climate agreement has a more ambitious target of limiting the temperature rise to well below 2 degrees C and the EU ambition is growing to become climate-neutral by 2050. This research explores decarbonization options using an innovative analytical approach that combines energy systems analysis and marginal abatement cost curves (MACCs). System-wide MACCs are derived using scenario ensembles from Irish TIMES energy systems model. Decomposition analysis is then used to associate decarbonization options with carbon abatement costs. In addition, energy systems analysis is carried out on the underlying scenario ensembles that are used to generate the MACCs to capture more technological details and to reflect interactions among technologies. The results show that MACCs are highly dependent on model assumptions and the availabilities of bioenergy and carbon capture and storage (CCS) technologies play critical roles. The paper also shows how key mitigation measures can be ranked and classified into categories of resilient (wind energy, CCS, electric vehicles, biofuels), tipping-point (electrifying building heating, biomass plants), and niche (ocean energy) technologies.
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页数:12
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