Cradle-to-grave greenhouse gas emissions from dams in the United States of America
Cradle-to-grave greenhouse gas emissions from dams in the United States of America
复制标题
美国水坝从摇篮到坟墓的温室气体排放
DOI:
10.1016/j.rser.2018.04.014
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发表时间:
2018
影响因子:
15.9
通讯作者:
Mo, Weiwei
中科院分区:
文献类型:
--
作者:
Song, Cuihong;Gardner, Kevin H.;Klein, Sharon J.W.;Souza, Simone Pereira;Mo, Weiwei
Hydropower is traditionally considered to be one type of “clean” energy, and has been heavily developed in many regions of the world. Nevertheless, this assumption is increasingly being challenged by recent findings that a large amount of methane and other greenhouse gases (GHGs) are emitted during reservoir creation, turbine operation, and dam decommissioning. Via a critical review of existing hydropower life cycle assessments and reservoir emission studies, we compared the GHG emissions of various types of dams based on their structural type, size, primary function, and geographical location during their construction, operation, and decommissioning phases. Means to improve dam performance and reduce related GHG emissions were identified. It was found that dams with reservoirs usually have much higher GHG emission rates than diversion dams. GHG emissions are mainly generated at the construction and maintenance stages for small-scale run-of-river dams, whereas decomposition of flooded biomass and organic matter in the sediment has the highest GHG emission contribution to large-scale reservoir-based dams. Generally, reservoir-based dams located in boreal and temperate regions have much lower reservoir emissions (3–70 g CO2eq./kW h) compared with dams located in tropical regions (8–6647 g CO2eq./kW h). Our analysis shows that although most hydroelectric dams have comparable GHG emissions to other types of renewable energy (e.g., solar, wind energy), electricity produced from tropical reservoir-based dams could potentially have a higher emission rate than fossil-based electricity.
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DOI:
--
发表时间:
2015
期刊:
The International Journal of Life Cycle Assessment
影响因子:
--
作者:
J. Gallagher;D. Styles;A. McNabola;A. P. Williams
通讯作者:
A. P. Williams
影响因子:
8.7
作者:
A. Pascale;T. Urmee;Andrew Moore
通讯作者:
A. Pascale;T. Urmee;Andrew Moore
影响因子:
6
作者:
Gaudard, Ludouic;Romerio, Franco
通讯作者:
Romerio, Franco
DOI:
--
发表时间:
2004
期刊:
影响因子:
--
作者:
C. Bauer;Karin Treyer;T. Heck;S. Hirschberg
通讯作者:
S. Hirschberg
DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
J. Gallagher;D. Styles;A. McNabola;A. Williams
通讯作者:
A. Williams