一种用于电力系统规划的线性编程模型,其中包含集成
Issa Zaiter1, Andrei Sleptchenko2, Ahmad Mayyas2
1College of Engineering, Department of Management Science and Engineering, Khalifa University of Science and Technology, Abu Dhabi, UAE. issa.mzaiter@ku.ac.ae.
Scientific reports
|February 3, 2026
概括
阿拉伯联合长国可以以经济有效的方式将气整合到其电力系统中,用于储能和工业用途. 这一清洁燃料战略支持脱碳目标,利用丰富的太阳能资源为可持续能源未来提供支持.
科学领域:
- 能源系统工程 能源系统工程
- 整合可再生能源的整合
- 经济 经济
背景情况:
- 脱碳需要为具有挑战性的行业提供清洁燃料和可再生能源缓冲.
- 阿拉伯联合长国 (UAE) 拥有重要的太阳能潜力,但在其电力系统中的作用尚未完全理解.
研究的目的:
- 评估将气纳入阿联电力系统的经济和环境优势.
- 模拟作为一种储能解决方案和工业商品.
主要方法:
- 开发了一个每小时分辨率线性编程优化模型.
- 优化了太阳能光伏,风能,核能和天然气发电的组合,以及电池和具有地下存储的子系统.
- 利用Python和Gurobi解决方案来满足2030年预计的电力和需求.
主要成果:
- 确定了一个成本最优的系统,电力成本为0.065美元/千瓦时,气成本为2.56美元/千克.
- 证明了气在储能和满足需求方面的成本效益.
- 突出了系统对碳税和天然气价格波动的脆弱性.
结论:
- 集成对阿联的电力部门和工业需求来说是经济可行的.
- 该研究证实了在支持可再生能源和实现脱碳目标方面的作用.
- 关于碳定价和天然气市场稳定的政策考虑对于成功部署气至关重要.
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