通过基于人工智能的动态定价优化可再生基础设施的技术经济效益
在PubMed上查看摘要
概括
此摘要是机器生成的。澳大利亚
科学领域
- 可再生能源系统
- 技术经济分析
- 的生产
背景情况
- 澳大利亚拥有重要的绿色气潜力.
- 脱碳气生产对于能源转型至关重要.
- 混合可再生能源系统提供了一个可行的解决方案.
研究的目的
- 在6个澳大利亚城市使用混合风能系统进行气生产的技术经济优化.
- 确定最优的系统配置和位置,以实现经济高效的绿色气发电.
- 评估先进算法和需求侧管理对系统性能的影响.
主要方法
- 混合光伏-风电解析器-箱系统的技术经济建模.
- 使用元启发算法的优化 (五月,灰狼,鱼优化).
- 包含区块链和强化学习策略的敏感性分析.
主要成果
- 澳大利亚的珀斯在0.582美元/公斤的水平化 (LCH) 成本最低.
- 所有研究的地点都实现了100%的可再生生产.
- 与标准模型相比,元启发式算法提高了3-8%的技术经济指标.
- 区块链和人工智能驱动的需求响应可以节省8-10%的成本.
结论
- 珀斯被认为是澳大利亚绿色生产的最佳中心.
- 区域资源的可用性和城市化显著影响生产成本.
- 为出口市场推进一步投资先进材料和海上平台.
- 人工智能增强的特定区域系统是实现澳大利亚经济目标的关键.
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