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全球各类发电能源的大规模电能的空间能量密度。

Spatial energy density of large-scale electricity generation from power sources worldwide.

机构信息

Department of Electric Power Engineering (IEL), Norwegian University of Science and Technology (NTNU), O. S. Bragstads plass 2E, 7034, Trondheim, Norway.

Grenoble Institute of Technology (Grenoble INP), Grenoble, 38031, France.

出版信息

Sci Rep. 2022 Dec 8;12(1):21280. doi: 10.1038/s41598-022-25341-9.

Abstract

This paper introduces the annual energy density concept for electric power generation, which is proposed as an informative metric to capture the impacts on the environmental footprint. Our investigation covers a wide range of sources classified by rated power and compares different regions to establish typical spatial flows of energy and evaluate the corresponding scalability to meet future net-zero emission (NZE) goals. Our analysis is conducted based on publicly available information pertaining to different regions and remote satellite image data. The results of our systematic analysis indicate that the spatial extent of electric power generation toward 2050 will increase approximately sixfold, from approximately 0.5% to nearly 3.0% of the world's land area, based on International Energy Agency (IEA) NZE 2050 targets. We investigate the worldwide energy density for ten types of power generation facilities, two involving nonrenewable sources (i.e., nuclear power and natural gas) and eight involving renewable sources (i.e., hydropower, concentrated solar power (CSP), solar photovoltaic (PV) power, onshore wind power, geothermal power, offshore wind power, tidal power, and wave power). In total, our study covers 870 electric power plants worldwide, where not only the energy density but also the resulting land or sea area requirements to power the world are estimated. Based on the provided meta-analysis results, this paper challenges the common notion that solar power is the most energy-dense renewable fuel source by demonstrating that hydropower supersedes solar power in terms of land use in certain regions of the world, depending on the topography.

摘要

本文引入了年度能源密度概念用于发电,该概念被提议作为一个信息指标,以捕捉对环境足迹的影响。我们的研究涵盖了按额定功率分类的多种能源,并比较了不同地区,以建立典型的能源空间流并评估相应的可扩展性,以实现未来的净零排放 (NZE) 目标。我们的分析基于与不同地区和远程卫星图像数据相关的公开信息进行。我们系统分析的结果表明,根据国际能源署 (IEA) 2050 年 NZE 目标,到 2050 年,电力发电的空间范围将增加约六倍,从世界土地面积的约 0.5%增加到近 3.0%。我们研究了全球十种发电设施的能源密度,其中两种涉及不可再生能源(即核能和天然气),八种涉及可再生能源(即水电、集中太阳能发电 (CSP)、太阳能光伏 (PV) 电力、陆上风力发电、地热能、海上风力发电、潮汐能和波浪能)。总的来说,我们的研究涵盖了全球 870 个发电厂,不仅估计了能源密度,还估计了为世界供电所需的土地或海域面积。基于提供的荟萃分析结果,本文通过展示在世界某些地区,取决于地形,水电在土地利用方面优于太阳能,从而挑战了太阳能是最具能源密度的可再生燃料来源的普遍观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dd5/9732281/357a7914f08f/41598_2022_25341_Fig1_HTML.jpg

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