• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IFAC PapersOnLine >Study On Energy Consumption Of Sino - German Building In Uncertain Environment
【24h】

Study On Energy Consumption Of Sino - German Building In Uncertain Environment

机译：不确定环境下中德建筑能耗研究。

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

According to the experience of developed countries, with the development of the city, the construction industry will go beyond the industrial, transportation and other industries and ultimately ranked first in social energy consumption, and air conditioning energy consumption is the main part of building energy consumption, reduce its operation energy consumption is of great significance to saving energy, improving energy utilization and implementing green building strategy. This paper studies the joint control of HVACs, lights, shading blinds and natural ventilation in the Sino - German Building. This paper has developed an effective environment for integrated control of HVACs, lights, shading blinds and natural ventilation in an uncertain environment. In this paper, an easy-to-use model suitable for optimization is established, and the joint control optimization problem is transformed into a multi-stage stochastic optimization problem. Using the improved Lagrangian relaxation method, the Lagrangian multiplier is used to loosen the constraints that are coupled together by air conditioning equipment such as a common machine. A new Lagrangian relaxation is shown, which can get better gradient direction. The optimal solution can be obtained by referring to stochastic dynamic programming and heuristic rules. Finally, the simulation results of the building simulation software DeST show that the joint optimization of the building end equipment can effectively reduce the building energy consumption.
机译：根据发达国家的经验，随着城市的发展，建筑业将超越工业，交通等行业，最终在社会能源消耗方面位居第一，空调能源消耗是建筑能耗的主要部分。 ，降低其运行能耗对节约能源，提高能源利用率和实施绿色建筑战略具有重要意义。本文研究了中德大厦的HVAC，照明，遮阳百叶窗和自然通风的联合控制。本文为不确定环境下的HVAC，照明，遮阳百叶窗和自然通风的综合控制开发了一种有效的环境。本文建立了一个简单易用的优化模型，并将联合控制优化问题转化为多阶段随机优化问题。通过使用改进的拉格朗日松弛法，拉格朗日乘数用于放宽由空调设备（例如普通机器）耦合在一起的约束。显示了新的拉格朗日弛豫，它可以得到更好的梯度方向。可以通过参考随机动态规划和启发式规则来获得最佳解决方案。最后，建筑物仿真软件DeST的仿真结果表明，建筑物末端设备的联合优化可以有效降低建筑物的能耗。

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