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GeoH2模型:绿色生产的地理空间成本优化,包括储存和运输
Claire Halloran1, Alycia Leonard1, Nicholas Salmon1
1Department of Engineering Science, University of Oxford, Parks Road, OX1 3PJ, United Kingdom.
MethodsX
|March 25, 2024
概括
GeoH2是一个地理空间模型,优化绿色的生产,储存和运输成本. 它确定了绿色的最具成本效益的位置,以满足区域需求,帮助能源转型战略.
科学领域:
- 能源系统分析 能源系统分析
- 可再生能源可再生能源是可再生能源.
- 地理空间建模的应用
背景情况:
- 绿色对于脱碳至关重要,但其生产成本高度依赖于位置和基础设施.
- 优化整个价值链,从生产到最终使用,对于成本竞争力至关重要.
研究的目的:
- 介绍GeoH2,一个用于优化绿色生产,储存和运输成本的地理空间模型.
- 根据区域需求和资源可用性,确定成本最低的绿色气生产地点.
主要方法:
- 绿色生产成本的空间显式建模,考虑到可再生能源 (风能和太阳能) 的可用性.
- 从生产到需求站点优化的转化,储存和运输 (压缩,氨,液化).
- 整合成本数据与区域能源和原料价格,以评估竞争力.
主要成果:
- 该模型提供了整个地区绿色生产的成本地图.
- 确定绿色供应链的最佳位置和配置.
- 与现有能源相比,证明了成本竞争力分析.
结论:
- GeoH2为战略绿色部署规划提供了一个强大的框架.
- 该模型促进了投资绿色基础设施的知情决策.
- 纳米比亚的案例研究强调了该模型在不同地理环境中的适用性.
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