...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Building and Environment >Dynamic setpoint control for museum indoor climate conditioning integrating collection and comfort requirements: Development and energy impact for Europe
【24h】

Dynamic setpoint control for museum indoor climate conditioning integrating collection and comfort requirements: Development and energy impact for Europe

机译：集成了收藏和舒适要求的博物馆室内气候条件的动态设定点控制：对欧洲的发展和能源影响

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

This study presents a seven-step algorithm for hourly setpoint calculation of museums' indoor temperature (T-i) and relative humidity (RHi) integrating collection requirements (ASHRAE) and thermal comfort requirements. Moreover, building energy simulation results provide insight into the energy impact of five levels of museum indoor climate conditioning applied to four building quality levels (ranging from a historical building to a purpose-built museum building) using weather data from twenty locations throughout Europe. The five levels of indoor climate conditioning were calculated using the presented setpoint algorithm, a validated simulation model of museum Hermitage Amsterdam was adjusted to represent the four building quality levels, and technical-reference-year (TRY) weather data of twenty locations were used. The conclusions: The setpoint algorithm enables smooth control of seasonal adjustments, integrated with permissible short fluctuations of T and RH (according to ASHRAE classes); improving the building quality quickly follows the law of diminishing returns; supposing to result in the same collection risk, subclass A(d) (no seasonal adjustments, but larger hourly fluctuations) is more energy efficient than subclass A, (with seasonal adjustments, but smaller hourly fluctuations) for most locations; although class AA is more stringent than subclass A(s), class AA appears to require less energy than subclass A(s) for some locations, due to efficiency differences of the humidification and dehumidification processes. (C) 2017 The Author(s). Published by Elsevier Ltd.
机译：这项研究提出了一个七步算法，用于每小时计算博物馆的室内温度（T-i）和相对湿度（RHi）的设定点，并结合了收集要求（ASHRAE）和热舒适性要求。此外，建筑能耗模拟结果可利用来自欧洲20个地点的天气数据，深入了解将五个室内博物馆级别的气候条件应用于四个建筑质量等级（从历史建筑到专用博物馆建筑）的能源影响。使用提出的设定点算法计算了五个级别的室内气候条件，调整了阿姆斯特丹冬宫博物馆的经过验证的仿真模型，以代表四个建筑质量级别，并使用了二十个地点的技术参考年（TRY）天气数据。结论：设定点算法可以平稳控制季节性调整，并结合允许的T和RH短暂波动（根据ASHRAE类别）；迅速遵循收益递减法则来提高建筑质量；假设会导致相同的收货风险，对于大多数地点，A（d）类（无季节性调整，但每小时波动较大）比A类（具有季节性调整，但小时波动较小）更节能；尽管AA类比A类更严格，但由于加湿和除湿过程的效率差异，AA类似乎在某些位置比A类需要更少的能量。 （C）2017作者。由Elsevier Ltd.发布

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