基于流量网络模型的电网生命周期碳排放的动态跟踪
Chengwei Wang1, Pei Li2, Zhiyuan Yang2
1Energy Development Research Institute, CSG, Guangzhou, 510530, China. chengwei.wang@hotmail.com.
Scientific reports
|July 24, 2025
概括
本研究提出了一种新的流量网络模型,用于跟踪电网碳排放. 它显示可再生能源对排放因素有重大影响,突出了动态,碳意识的电网运营机会.
科学领域:
- 电气工程 电气工程
- 环境科学 环境科学
- 计算机科学 计算机科学
背景情况:
- 在电网中传统的碳排放跟踪是有限的.
- 动态排放分配需要先进的建模技术.
- 整合可再生能源引入了电网排放的变化.
研究的目的:
- 开发一种新的流量网络模型,用于电网中的动态碳排放跟踪.
- 分析可再生能源可变性对电网层面和负载特定排放因子的影响.
- 为可持续电网规划和碳意识运营提供见解.
主要方法:
- 一个流量网络模型,将电网表示为有虚拟下沉节点的定向图.
- 基于马尔科夫链的概率流量分析用于排放分配.
- 纳入生命周期排放和消除矩阵反转.
- 通过IEEE 30-bus系统的24小时模拟验证.
主要成果:
- 由于可再生能源发电的变化,排放因子的显著波动.
- 在可再生能源附近的负载显示,在峰值绿色发电期间,排放因子接近零.
- 电网层面的排放因子与可再生能源输出相反相关.
- 与负载相比,传输损失对总排放的贡献很小.
结论:
- 该模型允许动态的碳意识的电网运行,使消耗与可再生能源的可用性保持一致.
- 需求侧优化对于减排至关重要.
- 该框架为可持续的电网规划提供了关键的见解,包括可再生能源部署和存储集成的权衡.
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