在碳贸易政策下评估煤炭供应链,采用扩展能源核算方法
Ali Roozbeh Nia1, Anjali Awasthi1, Nadia Bhuiyan2
1Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada.
Flexible services and manufacturing journal
|June 26, 2023
概括
这项研究通过使用扩展功耗会计 (EEA) 和优化算法来提高煤炭供应链的可持续性. 美国展示了最可持续的煤炭供应链,而波兰和中国显示了最高的实力.
科学领域:
- 环境科学 环境科学
- 运营研究 运营研究
- 能源经济学 能源经济学
背景情况:
- 煤炭供应链 (SCs) 在碳贸易政策和环境问题中面临可持续性挑战.
- 传统的经济指标可能无法完全捕捉到煤炭SCs的真正成本和影响.
- 需要考虑经济,环境和社会因素的整体方法至关重要.
研究的目的:
- 在主要的煤炭消费国中,应用扩展用力会计 (EEA) 方法来评估和改善煤炭用力会计的可持续性.
- 优化基于能源 (朱尔) 而不是货币价值的煤炭SC,并纳入现实世界的约束.
- 评估高级元启发算法的有效性,以优化复杂的SC模型.
主要方法:
- 采用了扩展效能会计 (EEA) 方法来分析煤炭供应链.
- 开发了一个多产品经济生产量 (EPQ) 模型,考虑单一供应商,多买方和后期订单.
- 雇佣了狮子优化器,狮子优化算法和鱼优化算法进行优化,由GAMS验证.
主要成果:
- 确定美国拥有最可持续的煤炭SC,具有最低的模糊总能.
- 确定波兰和中国表现出最高的模糊总动力,表明可持续性较低.
- 敏感性分析揭示了力参数 (资本,劳动力,补救) 对SC可持续性的影响.
结论:
- 欧洲经济区方法为评估和增强煤炭供应链的可持续性提供了一个强大的框架.
- 优化算法可以有效地解决复杂的SC挑战,从而提高能源效率和减少环境影响.
- 煤炭SC可持续性的国家特定变化凸显了针对性战略和政策的必要性.
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