...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy >Optimal chilled water temperature calculation of multiple chiller systems using Hopfield neural network for saving energy
【24h】

Optimal chilled water temperature calculation of multiple chiller systems using Hopfield neural network for saving energy

机译：基于Hopfield神经网络的多个机组冷水温度最优计算。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The values of chilled water supply temperatures in chillers indicate the load distributions as the chilled water return temperatures in all chillers are the same in a decoupled air-conditioning system. This study employs the Hopfield neural network (HNN) to determine the chilled water supply temperatures in chillers, which are used to solve the optimal chiller loading (OCL) problem. A linear input-output model is utilized as a substitute for the sigmoid function, which eliminates the shortcoming of the conventional HNN method. Notably, HNN overcomes the flaw in the Lagrangian method in that the latter cannot be utilized for solving the OCL problem as its power-consumption models include non-convex functions. The chilled water supply temperatures are used as variables to be solved for a decoupled air-conditioning system and solve the problem using the HNN method to overcome the defect in the Lagrangian method. After analysis of the case study and comparison of results using these two methods, we conclude that the HNN method solves the problem of the Lagrangian method, and produces highly accurate results. The HNN method can be applied to the operation of air-conditioning systems.
机译：冷水机中的冷水供应温度值表示负荷分布，因为在分离的空调系统中，所有冷水机中的冷水回流温度均相同。这项研究利用Hopfield神经网络（HNN）确定冷水机中的冷水供应温度，用于解决最佳冷水机负荷（OCL）问题。线性输入输出模型被用来代替S形函数，从而消除了传统HNN方法的缺点。值得注意的是，HNN克服了拉格朗日方法的缺陷，因为拉格朗日方法的功耗模型包含非凸函数，因此无法用于解决OCL问题。将冷水供应温度用作要解耦的空调系统要解决的变量，并使用HNN方法解决该问题以克服Lagrangian方法的缺陷。在对案例研究进行分析并使用这两种方法进行结果比较之后，我们得出结论：HNN方法解决了拉格朗日方法的问题，并产生了高度准确的结果。 HNN方法可以应用于空调系统的运行。

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