globalchange  > 气候变化与战略
DOI: 10.1016/j.energy.2019.116630
论文题名:
A geographic information system-based global variable renewable potential assessment using spatially resolved simulation
作者: Chu C.-T.; Hawkes A.D.
刊名: Energy
ISSN: 3605442
出版年: 2020
卷: 193
语种: 英语
英文关键词: Energy potential ; GIS ; Global ; Intermittency ; OpenStreetMap ; Renewables
Scopus关键词: Geographic information systems ; Land use ; NASA ; Offshore oil well production ; Potential energy ; Global ; Global energy system models ; Intermittency ; Meteorological datasets ; OpenStreetMap ; Renewables ; Spatial and temporal resolutions ; Variable renewable energies ; Renewable energy resources ; alternative energy ; assessment method ; data set ; GIS ; global change ; simulation ; spatial resolution
英文摘要: Variable renewable energy is set to become a key energy source worldwide, but there is concern regarding the impact of the intermittency of its output when penetration is high. Energy system models need to tackle this issue by improving modelling resolution and scope. To allow for such modelling, more and better input datasets are needed on variable renewable energy potentials and yields. These need to be of global scope, of sufficient spatial and temporal resolution, and generated with transparent, consistent methods. This study develops the methods and applies it to generate these datasets at subnational and hourly resolution. The assessment is carried out for wind and solar technologies with consistent constraints including geographical, social and economic aspects. Features from the OpenStreetMap are converted into land cover and land use datasets and applied. Hourly energy output is simulated using NASA MERRA-2 meteorological datasets, reconciled with resource maps from the Global Wind Atlas and Global Solar Atlas platforms. Capacity supply curves are provided for 731 terrestrial zones and 339 offshore zones worldwide, along with corresponding hourly output profiles over a 10-year simulation period. The proposed energy potentials are relative conservative compared with other studies. The datasets can serve as input for regional or global energy system models when analyzing high variable renewable energy shares. © 2019 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159270
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作者单位: Department of Chemical Engineering, Imperial College London, London, SW7 2AZ, United Kingdom

Recommended Citation:
Chu C.-T.,Hawkes A.D.. A geographic information system-based global variable renewable potential assessment using spatially resolved simulation[J]. Energy,2020-01-01,193
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