首页> 外文期刊>Energy and Buildings >Optimal coordination of air conditioning system and personal fans for building energy efficiency improvement
【24h】

Optimal coordination of air conditioning system and personal fans for building energy efficiency improvement

机译:空调系统和个人风扇的最佳配合,可提高建筑物的能效

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Air temperature and speed play a critical role in the thermal sensation of comfort felt by occupants, especially in the tropics. It is of great practical interest to coordinate air conditioning and mechanical ventilation (ACMV) system and personal fans so as to enhance building demand response (DR) capability while minimizing energy cost in response to a specific electricity price signal and maintaining a thermal comfort level. In this paper, an optimization problem of coordinating ACMV and personal fans is addressed, which captures the coupling between ACMV and fans. A Lagrangian relaxation-based algorithm is developed to solve the problem by individually solving the subproblems of ACMV and personal fans with Lagrangian multipliers as the coordinated signals. This algorithm can separate the calculation of the cooling effect from the optimization procedure, so we do not have to solve the problem using a non-analytical model for evaluating the cooling effect provided by the fans. The performance of the proposed method is evaluated and validated using experimental and simulation results. Both the results show that coordinating ACMV and fans can substantially enhance building DR capability, save energy cost, and also improve customized thermal comfort microenvironment. (C) 2017 Elsevier B.V. All rights reserved.
机译:气温和速度在乘员感到舒适的热感方面起着至关重要的作用,尤其是在热带地区。协调空调和机械通风(ACMV)系统以及个人风扇,以增强建筑物需求响应(DR)能力,同时根据特定的电价信号最小化能源成本并保持热舒适水平,具有极大的实际意义。在本文中,解决了协调ACMV和个人风扇的优化问题,该问题捕获了ACMV和风扇之间的耦合。提出了一种基于拉格朗日松弛的算法,通过使用拉格朗日乘数作为协调信号分别解决ACMV和个人粉丝的子问题来解决该问题。该算法可以将冷却效果的计算与优化过程分开,因此我们不必使用非分析模型来评估风扇提供的冷却效果即可解决问题。利用实验和仿真结果对所提出方法的性能进行了评估和验证。两项结果均表明,协调ACMV和风扇可以显着增强建筑物的DR功能,节省能源成本,并改善定制的热舒适性微环境。 (C)2017 Elsevier B.V.保留所有权利。

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