Potential for natural evaporation as a reliable renewable energy resource.
Potential for natural evaporation as a reliable renewable energy resource.
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DOI：
10.1038/s41467-017-00581-w
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发表时间：
2017-09-26
影响因子：
16.6
通讯作者：
Sahin O
中科院分区：
文献类型：
--
作者：
Cavusoglu AH;Chen X;Gentine P;Sahin O
地球表面吸收的大约50%的太阳能驱动蒸发，促进水循环，影响各种可再生能源，如风能和水力发电。最近的进展表明，我们有将蒸发能转化为功的新生能力，但对这种资源的潜力了解甚少。在这里，我们研究了从自然蒸发中获得的能量，以预测这种无处不在的资源的潜力。我们发现，开放水面的自然蒸发可以提供与当前风能和太阳能技术相当的功率密度，同时将蒸发水分损失减少近一半。我们估计在美国有多达325吉瓦的潜在可用电力。引人注目的是，水的巨大热容量足以在需求较低时通过储存多余的能量来控制电力输出，从而减少间歇性并提高可靠性。我们的发现激发了材料和设备的改进，这些材料和设备可以从蒸发中转换能量。水的蒸发是可再生能源的另一种来源。在以前的蒸发模型的基础上，Cavusoglu等人表明，从这种自然资源中获得的能量与风能和太阳能相当，但它不受天气条件变化的影响。
About 50% of the solar energy absorbed at the Earth’s surface drives evaporation, fueling the water cycle that affects various renewable energy resources, such as wind and hydropower. Recent advances demonstrate our nascent ability to convert evaporation energy into work, yet there is little understanding about the potential of this resource. Here we study the energy available from natural evaporation to predict the potential of this ubiquitous resource. We find that natural evaporation from open water surfaces could provide power densities comparable to current wind and solar technologies while cutting evaporative water losses by nearly half. We estimate up to 325 GW of power is potentially available in the United States. Strikingly, water’s large heat capacity is sufficient to control power output by storing excess energy when demand is low, thus reducing intermittency and improving reliability. Our findings motivate the improvement of materials and devices that convert energy from evaporation. The evaporation of water represents an alternative source of renewable energy. Building on previous models of evaporation, Cavusoglu et al. show that the power available from this natural resource is comparable to wind and solar power, yet it does not suffer as much from varying weather conditions.
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影响因子：
4.5
作者：
Downing, J. A.;Prairie, Y. T.;Middelburg, J. J.
通讯作者：
Middelburg, J. J.
DOI：
10.1126/science.1230262
发表时间：
2013-01-11
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Ma M;Guo L;Anderson DG;Langer R
通讯作者：
Langer R
影响因子：
64.8
作者：
Kalnay, E;Cai, M
通讯作者：
Cai, M
影响因子：
56.9
作者：
Laliberte, F.;Zika, J.;Doos, K.
通讯作者：
Doos, K.
影响因子：
4.9
作者：
Byrne, Michael P.;O'Gorman, Paul A.
通讯作者：
O'Gorman, Paul A.