...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy and Buildings >Development of the adaptive PMV model for improving prediction performances
【24h】

Development of the adaptive PMV model for improving prediction performances

机译：开发自适应PMV模型以提高预测性能

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

Predicted mean vote (PMV) is widely used in order to evaluate thermal comfort conditions of indoor spaces. However, recent studies show that there are discrepancies between PMV prediction and the actual mean vote (AMV) of occupants in buildings. This study has an aim to develop two types of adaptive PMV models considering physical stimulus on the human's thermal sensation and adaptive behavior. A field measurement was conducted to reveal occupant perception on and responses to indoor thermal environments and to assess the applicability of the original PMV model. We have developed two types of Adaptive PMV models based on the black-box theory and the adaptive thermal comfort theory in air-conditioned buildings. The adaptive PMV (aPMV) model based on the black-box theory shows good prediction performance only when the original PMV value ranges from -1.5 to +1.5. On the other hand, the prediction results from New PMV(nPMV) based on the adaptive comfort theory are in good agreement with actual thermal sensation of people and are reliable. Our results imply that the nPMV model could increase the prediction performance of the original PMV model and play an important role in reducing the cooling energy of air-conditioned buildings. (C) 2014 Elsevier B.V. All rights reserved.
机译：预测平均投票（PMV）被广泛用于评估室内空间的热舒适条件。但是，最近的研究表明，PMV预测与建筑物中居住者的实际平均投票（AMV）之间存在差异。这项研究旨在开发两种类型的自适应PMV模型，其中考虑了对人类热感觉和适应行为的物理刺激。进行了现场测量，以揭示乘员对室内热环境的感知和响应，并评估原始PMV模型的适用性。我们已经基于黑盒理论和自适应热舒适性理论开发了两种类型的自适应PMV模型。仅当原始PMV值在-1.5到+1.5范围内时，基于黑盒理论的自适应PMV（aPMV）模型才显示出良好的预测性能。另一方面，基于自适应舒适度理论的New PMV（nPMV）的预测结果与人们的实际热感非常吻合，并且是可靠的。我们的结果表明，nPMV模型可以提高原始PMV模型的预测性能，并在降低空调建筑物的冷却能方面发挥重要作用。 （C）2014 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