评估可再生能源系统中的碳中和超级电容器,使用基于自我改进的代理分子模糊智能算法进行评估
Oscar Castillo1, Hasan Dinçer2,3,4, Serkan Yüksel2,3,4
1Division of Graduate Studies and Research, Instituto Tecnologico de Tijuana, Tijuana, Mexico. ocastillo@tectijuana.mx.
Scientific reports
|August 2, 2025
概括
可回收性是碳中和超级电容器的关键因素,影响投资决策. 基于重力的能量存储成为这些可持续能源设备的最佳投资选择.
科学领域:
- 材料科学 材料科学 材料科学
- 储能 储能 储能 储能 储能 储能
- 可持续技术 可持续技术
背景情况:
- 碳中和超级电容器对于可再生能源至关重要,可提供储能和减少碳足迹.
- 目前的投资决策缺乏对影响超级电容器性能因素的明确优先考虑.
- 这种模两可可能导致资源浪费和可持续能源的低最佳投资策略.
研究的目的:
- 开发一个原始的决策模型,以确定碳中和超级电容器投资绩效的关键因素.
- 建立一个框架,为可再生能源领域的技术和投资决策提供信息.
- 引导可持续能源投资的战略优先级.
主要方法:
- 集成应用基于Entropy游戏的专家权重,Q学习算法,分子模糊智能,贝叶斯基于网络的权重 (BANEW) 和群优化 (ACO).
- 开发一种新的决策模型,以量化各种影响绩效的变量的重要性.
- 使用多标准决策方法来评估投资策略.
主要成果:
- 可回收率被确定为最重要的因素,获得最高权重 (0.316).
- 基于重力的储能被确定为碳中和超级电容器的最有利的投资选择,达到最高的适应性值 (4.044).
- 提出的模型成功地确定了影响设备性能的关键变量的重要性水平.
结论:
- 通过拟议的决策模型,可以加强对可持续能源投资的准确和有效的技术决策.
- 优先考虑可回收性对于优化碳中和超级电容器的性能和投资潜力至关重要.
- 基于重力的能量储存为利用这些超级电容器的可再生能源系统投资提供了一个有希望的途径.
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