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英国NOC为政府提供海上风电环境监测路线图 快报文章
资源环境快报,2025年第5期
作者:  魏艳红
Microsoft Word(21Kb)  |  收藏  |  浏览/下载:456/1  |  提交时间:2025/03/14
NOC  Offshore Wind  Marine Environment  
Accelerated discovery of CO2 electrocatalysts using active machine learning 期刊论文
NATURE, 2020, 581 (7807) : 178-+
作者:  Lan, Jun;  Ge, Jiwan;  Yu, Jinfang;  Shan, Sisi;  Zhou, Huan;  Fan, Shilong;  Zhang, Qi;  Shi, Xuanling;  Wang, Qisheng;  Zhang, Linqi;  Wang, Xinquan
收藏  |  浏览/下载:128/0  |  提交时间:2020/07/03

The rapid increase in global energy demand and the need to replace carbon dioxide (CO2)-emitting fossil fuels with renewable sources have driven interest in chemical storage of intermittent solar and wind energy(1,2). Particularly attractive is the electrochemical reduction of CO2 to chemical feedstocks, which uses both CO2 and renewable energy(3-8). Copper has been the predominant electrocatalyst for this reaction when aiming for more valuable multi-carbon products(9-16), and process improvements have been particularly notable when targeting ethylene. However, the energy efficiency and productivity (current density) achieved so far still fall below the values required to produce ethylene at cost-competitive prices. Here we describe Cu-Al electrocatalysts, identified using density functional theory calculations in combination with active machine learning, that efficiently reduce CO2 to ethylene with the highest Faradaic efficiency reported so far. This Faradaic efficiency of over 80 per cent (compared to about 66 per cent for pure Cu) is achieved at a current density of 400 milliamperes per square centimetre (at 1.5 volts versus a reversible hydrogen electrode) and a cathodic-side (half-cell) ethylene power conversion efficiency of 55 +/- 2 per cent at 150 milliamperes per square centimetre. We perform computational studies that suggest that the Cu-Al alloys provide multiple sites and surface orientations with near-optimal CO binding for both efficient and selective CO2 reduction(17). Furthermore, in situ X-ray absorption measurements reveal that Cu and Al enable a favourable Cu coordination environment that enhances C-C dimerization. These findings illustrate the value of computation and machine learning in guiding the experimental exploration of multi-metallic systems that go beyond the limitations of conventional single-metal electrocatalysts.


  
The green flings: Norwegian oil and gas industry's engagement in offshore wind power 期刊论文
ENERGY POLICY, 2019, 127: 269-279
作者:  Makitie, Tuukka;  Normann, Hakon E.;  Thune, Taran M.;  Gonzalez, Jakoba Sraml
收藏  |  浏览/下载:17/0  |  提交时间:2019/11/26
Sustainable energy transition  Organizational environment  Oil and gas industry  Offshore wind power  Norway  
Spatial and temporal variation of the near-surface wind environment in the dune fields of northern China 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (5) : 2333-2351
作者:  Cui, Xujia;  Dong, Zhibao;  Sun, Hu;  Li, Chao;  Xiao, Fengjun;  Liu, Zhengyao;  Song, Shaopeng;  Li, Xiaolan;  Xiao, Nan;  Xiao, Weiqiang
收藏  |  浏览/下载:12/0  |  提交时间:2019/04/09
spatial variation  temporal variation  wind environment  dune fields  northern China  
A semi-empirical model for the effect of trees on the urban wind environment 期刊论文
LANDSCAPE AND URBAN PLANNING, 2017, 168
作者:  Yuan, Chao;  Norford, Leslie;  Ng, Edward
收藏  |  浏览/下载:11/0  |  提交时间:2019/04/09
Semi-empirical urban canopy model  Drag force  Urban trees  Landscape planning  Urban wind environment  
South Africa Showcase 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2010
作者:  United Nations Development Programme;  Global Environment Facility
收藏  |  浏览/下载:12/0  |  提交时间:2019/04/05
Environment  Biodiversity  Environmental Protection  Sustainable development  Wind energy  South Africa  
Promotion of Wind Energy: lessons Learned from International Experience and UNDP-GEF Projects 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2010
作者:  United Nations Development Programme;  Global Environment Facility
收藏  |  浏览/下载:12/0  |  提交时间:2019/04/05
Socio-economic benefits  Wind  Environment  Case study and lessons learned  Wind energy  - International