...
首页> 外文期刊>Applied Energy >Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands
【24h】

Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands

机译:用于小型离网岛的动态,多目标最佳设计和运行水能系统

获取原文
获取原文并翻译 | 示例

摘要

Small Mediterranean islands are remote, off-grid communities characterized by carbon intensive electricity systems coupled with high energy consuming desalination technologies to produce potable water. The aim of this study is to propose a novel dynamic, multi-objective optimization approach for improving the sustainability of small islands through the introduction of renewable energy sources. The main contributions of our approach include: (i) dynamic modelling of desalination plant operations, (ii) joint optimization of system design and operations, (iii) multi-objective optimization to explore trade-offs between potentially conflicting objectives. We test our approach on the real case study of the Italian Ustica island by means of a comparative analysis with a traditional non-dynamic, least cost optimization approach. Numerical results show the effectiveness of our approach in identifying optimal system configurations, which outperform the traditional design with respect to different sustainability indicators, limiting the structural interventions, the investment costs and the environmental impacts. In particular, the optimal dynamic solutions able to satisfy the whole water demand allow high levels of penetration of renewable energy sources (up to more than 40%) to be reached, reducing the net present cost by about 2-3 M(sic) and the CO2 emissions by more than 200 tons/y.
机译:小地中海群岛是遥控器的偏远社区,其特征在于碳密集电力系统,加上高能耗的海水淡化技术,以生产饮用水。本研究的目的是提出通过引入可再生能源来提高小岛屿的可持续性的新型动态,多目标优化方法。我们方法的主要贡献包括:(i)海水淡化厂的动态建模,(ii)系统设计和运营的联合优化,(iii)多目标优化,探讨潜在冲突的目标之间的权衡。我们通过具有传统非动态,最低成本优化方法的比较分析对意大利USTICA岛的实际案例研究来测试我们的方法。数值结果表明了我们在识别最佳系统配置方面的效果,这始于传统的设计,这对不同的可持续性指标,限制了结构干预,投资成本和环境影响。特别是,能够满足整个水需求的最佳动态解决方案允许达到可再生能源(高达40%)的高水平渗透,从而将净目的成本降低约2-3米(SIC)和二氧化碳排放量超过200吨/ y。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号