...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy and Buildings >Adaptive optimal control model for building cooling and heating sources
【24h】

Adaptive optimal control model for building cooling and heating sources

机译：建筑冷热源的自适应最优控制模型

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

An adaptive optimal control model for building cooling and heating sources is presented with the aim of achieving global optimization and satisfying the requirements of time and accuracy in HVAC system control. The adaptive optimal control model includes the optimal control model, parameter identification and optimization algorithm. First, the penalty function is constructed to transform constrained optimization problem into unconstrained optimization problem, and then, the fuzzy self-tuning forgetting factor method is developed for parameter identification. In the end, the genetic algorithm (GA) is used to find the optimum values for the discrete and continuous variables. Optimization is applied for the building cooling source system in a publishing house located in Changsha, China. The optimization is expected to reduce the energy consumption of the cooling source system by 7%.
机译：提出了一种用于建筑物冷热源的自适应最优控制模型，旨在实现全局最优化，并满足HVAC系统控制中时间和精度的要求。自适应最优控制模型包括最优控制模型，参数识别和优化算法。首先构造惩罚函数，将约束优化问题转化为无约束优化问题，然后发展模糊自校正遗忘因子方法进行参数辨识。最后，遗传算法（GA）用于找到离散变量和连续变量的最佳值。在中国长沙的一家出版社中，对建筑物冷却源系统进行了优化。预计优化将使冷却源系统的能耗降低7％。

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