多重能源资源的基本理论和相关的案例研究
1The Maritime Faculty, Ningbo University, Ningbo, 315000, Zhejiang Province, China. ajj_0321@qq.com.
Scientific reports
|July 6, 2023
概括
这项研究利用一种新的数学模型优化分布式能源. 它可视化了能源输出,经济和碳足迹,通过能量-物质转换关系实现碳中和.
科学领域:
- 可再生能源系统可再生能源系统
- 数学建模的数学建模
- 可持续的能源 可持续的能源
背景情况:
- 分布式能源资源 (DER) 对现代能源系统至关重要.
- 优化DER涉及复杂的生产,管理,利用和交易流程.
- 评估能源选择的经济和环境影响至关重要.
研究的目的:
- 为优化分布式能源资源开发一个理论数学模型.
- 为了实现关键输出函数的可视化:电力,经济和碳足迹.
- 探索能源区块链方法,以开发微电网和减少碳排放.
主要方法:
- 为3i3o转换引入了一个新的功率效用矩阵 (PUM) 模型.
- 发现了能源发电和碳排放之间的数学转换关系.
- 能源区块链方法应用于微电网的设计和开发.
主要成果:
- PUM模型可视化了三个主要的能源偏好输出:电力,经济和碳足迹.
- 证明了一种能量-物质转换关系,减少碳排放β系数.
- 通过各种案例研究,可以证明能源资源的最佳利用.
结论:
- 开发的模型为无处不在的能源资源优化提供了系统的表征.
- 能量-物质转换显著改善了碳排放,碳中和达到零.
- 能源区块链的整合促进了可持续的微电网解决方案.
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