天然气低碳经济运行需求侧整合动态定价信号和用户行为建模
Ning Tian1, Bilin Shao1, Huibin Zeng2
1School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Entropy (Basel, Switzerland)
|November 26, 2025
概括
这项研究引入了一种低碳天然气调度模型,该模型平衡成本,用户行为和排放. 该模型优化了天然气系统,降低了用户的成本和碳足迹.
科学领域:
- 能源系统工程 能源系统工程
- 环境科学 环境科学
- 运营研究 运营研究
背景情况:
- 天然气对于低碳能源转型至关重要,但优化其使用需要平衡经济效率,用户行为和碳排放.
- 天然气系统的需求侧调度在整合这些复杂因素方面面临挑战.
研究的目的:
- 开发终端天然气系统的低碳经济运行模式.
- 将价格弹性,差异化用户行为和碳排放管理策略整合到需求侧调度中.
主要方法:
- 动态时间扭曲k-medoids集群被用于分析各种需求模式.
- 一个多目标优化框架,结合NSGA-III,权 (EW) 方法和VIKOR用于调度.
- 来自西安加油站的现实世界数据被用于模拟.
主要成果:
- 该模型将天然气供应成本降低了3.45% (住宅) 和6.82% (非住宅).
- 用户福利增加了4.64% (住宅) 和88.87% (非住宅).
- 碳排放量减少了115.18公斤 (住宅) 和2156.8公斤 (非住宅),非住宅用户节省了183.85日元的碳交易成本.
结论:
- 综合模型有效地平衡了天然气调度中的经济效率,用户行为和碳限制.
- 这些发现通过动态定价和用户行为建模来支持可持续和灵活的天然气系统运行.
- 这种方法在碳减排目标的背景下,为优化能源系统提供了有价值的决策支持.
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