Moving Toward an Optimal and Automated Geospatial Network for CCUS Infrastructure

doi:10.2172/1296698

GSTDTAP > 地球科学

DOI	10.2172/1296698
报告编号	LA-UR-16--26056
来源ID	OSTI ID: 1296698
	Moving Toward an Optimal and Automated Geospatial Network for CCUS Infrastructure
	Hoover, Brendan Arthur
	2016-08-05
出版年	2016
页数	8
语种	英语
国家	美国
领域	地球科学
英文摘要	Modifications in the global climate are being driven by the anthropogenic release of greenhouse gases (GHG) including carbon dioxide (CO₂) (Middleton et al. 2014). CO₂ emissions have, for example, been directly linked to an increase in total global temperature (Seneviratne et al. 2016). Strategies that limit CO₂ emissionsâlike CO₂ capture, utilization, and storage (CCUS) technologyâcan greatly reduce emissions by capturing CO₂ before it is released to the atmosphere. However, to date CCUS technology has not been developed at a large commercial scale despite several promising high profile demonstration projects (Middleton et al. 2015). Current CCUS research has often focused on capturing CO₂ emissions from coal-fired power plants, but recent research at Los Alamos National Laboratory (LANL) suggests focusing CCUS CO₂ capture research upon industrial sources might better encourage CCUS deployment. To further promote industrial CCUS deployment, this project builds off current LANL research by continuing the development of a software tool called SimCCS, which estimates a regional system of transport to inject CO₂ into sedimentary basins. The goal of SimCCS, which was first developed by Middleton and Bielicki (2009), is to output an automated and optimal geospatial industrial CCUS pipeline that accounts for industrial source and sink locations by estimating a Delaunay triangle network which also minimizes topographic and social costs (Middleton and Bielicki 2009). Current development of SimCCS is focused on creating a new version that accounts for spatial arrangements that were not available in the previous version. This project specifically addresses the issue of non-unique Delaunay triangles by adding additional triangles to the network, which can affect how the CCUS network is calculated.
英文关键词	Earth Sciences
URL	查看原文
来源平台	US Department of Energy (DOE)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/7311
专题	地球科学
推荐引用方式 GB/T 7714	Hoover, Brendan Arthur. Moving Toward an Optimal and Automated Geospatial Network for CCUS Infrastructure,2016.