...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Building and Environment >A Bayesian Network Approach To The Evaluation Of Building Design And Its Consequences For Employee Performance And Operational Costs
【24h】

A Bayesian Network Approach To The Evaluation Of Building Design And Its Consequences For Employee Performance And Operational Costs

机译：贝叶斯网络方法评估建筑设计及其对员工绩效和运营成本的影响

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

A Bayesian Network approach has been developed that can compare different building designs by estimating the effects of the thermal indoor environment on the mental performance of office workers. A part of this network is based on the compilation of subjective thermal sensation data and the associated objective thermal measurements from 12,000 office occupants from different parts of the world. A Performance Index (Π) is introduced that can be used to compare directly the different building designs and furthermore to assess the total economic consequences of the indoor climate with a specific building design. In this paper, focus will be on the effects of temperature on mental performance and not on other indoor climate factors. A total economic comparison of six different building designs, four located in northern Europe and two in Los Angeles, USA, was performed. The results indicate that investments in improved indoor thermal conditions can be justified economically in most cases. The Bayesian Network provides a reliable platform using probabilities for modelling the complexity while estimating the effect of indoor climate factors on human beings, due to the different ways in which humans are affected by the indoor climate.
机译：已经开发出一种贝叶斯网络方法，该方法可以通过估计室内热环境对上班族的心理表现的影响来比较不同的建筑设计。该网络的一部分基于主观热感数据的汇编以及来自世界不同地区的12,000名在职人员的相关客观热测量值。引入了性能指标（Π），可用于直接比较不同的建筑设计，并进一步评估特定建筑设计对室内气候的总体经济影响。在本文中，重点将放在温度对心理表现的影响上，而不是其他室内气候因素上。进行了六种不同建筑设计的总体经济比较，其中四种位于北欧，而两种位于美国洛杉矶。结果表明，在大多数情况下，投资改善室内热条件在经济上是合理的。贝叶斯网络提供了一个可靠的平台，该平台使用概率来对复杂性进行建模，同时估算室内气候因素对人类的影响，这是由于人类受室内气候影响的方式不同。

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