Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/aa8f18 |
Exploring the meteorological potential for planning a high performance European electricity super-grid: optimal power capacity distribution among countries | |
Santos-Alamillos, Francisco J.1,2; Brayshaw, David J.1,3; Methven, John1; Thomaidis, Nikolaos S.4; Ruiz-Arias, Jose A.2; Pozo-Vazquez, David2 | |
2017-11-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS
![]() |
ISSN | 1748-9326 |
出版年 | 2017 |
卷号 | 12期号:11 |
文章类型 | Article |
语种 | 英语 |
国家 | England; Spain; Greece |
英文摘要 | The concept of a European super-grid for electricity presents clear advantages for a reliable and affordable renewable power production (photovoltaics and wind). Based on the mean-variance portfolio optimization analysis, we explore optimal scenarios for the allocation of new renewable capacity at national level in order to provide to energy decision-makers guidance about which regions should be mostly targeted to either maximize total production or reduce its day-to-day variability. The results show that the existing distribution of renewable generation capacity across Europe is far from optimal: i.e. a 'better' spatial distribution of resources could have been achieved with either a similar to 31 % increase in mean power supply (for the same level of day-to-day variability) or a similar to 37.5% reduction in day-to-day variability (for the same level of mean productivity). Careful planning of additional increments in renewable capacity at the European level could, however, act to significantly ameliorate this deficiency. The choice of where to deploy resources depends, however, on the objective being pursued-if the goal is to maximize average output, then new capacity is best allocated in the countries with highest resources, whereas investment in additional capacity in a north/south dipole pattern across Europe would act to most reduce daily variations and thus decrease the day-to-day volatility of renewable power supply. |
英文关键词 | European electricity super-grid wind power PV mean-variance portfolio capacity allocation |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000415209900001 |
WOS关键词 | NORTH-ATLANTIC OSCILLATION ; ENERGY-RESOURCES ; RENEWABLE POWER ; WIND FARMS ; PORTFOLIOS ; REANALYSIS ; GENERATION ; IMPACT |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32055 |
专题 | 气候变化 |
作者单位 | 1.Univ Reading, Dept Meteorol, Reading, Berks, England; 2.Univ Jaen, Dept Phys, Campus Lagunillas S-N,A3-066, E-23071 Jaen, Spain; 3.Natl Ctr Atmospher Sci, Reading, Berks, England; 4.Aristotle Univ Thessaloniki, Sch Econ, Thessaloniki, Greece |
推荐引用方式 GB/T 7714 | Santos-Alamillos, Francisco J.,Brayshaw, David J.,Methven, John,et al. Exploring the meteorological potential for planning a high performance European electricity super-grid: optimal power capacity distribution among countries[J]. ENVIRONMENTAL RESEARCH LETTERS,2017,12(11). |
APA | Santos-Alamillos, Francisco J.,Brayshaw, David J.,Methven, John,Thomaidis, Nikolaos S.,Ruiz-Arias, Jose A.,&Pozo-Vazquez, David.(2017).Exploring the meteorological potential for planning a high performance European electricity super-grid: optimal power capacity distribution among countries.ENVIRONMENTAL RESEARCH LETTERS,12(11). |
MLA | Santos-Alamillos, Francisco J.,et al."Exploring the meteorological potential for planning a high performance European electricity super-grid: optimal power capacity distribution among countries".ENVIRONMENTAL RESEARCH LETTERS 12.11(2017). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论