...
首页> 外文期刊>Chemical Engineering Science >Synthesis of a quantitative strategy to minimize energy used in conditioning of dry air in buildings in summer with fluctuating ambient and room occupancy rate
【24h】

Synthesis of a quantitative strategy to minimize energy used in conditioning of dry air in buildings in summer with fluctuating ambient and room occupancy rate

机译:综合定量策略,以最小化夏季楼宇干燥空气调节能量的能量,波动环境和室内占用率

获取原文
获取原文并翻译 | 示例

摘要

The conditioning of room air in summer is widely practiced. However many operators do not have an overall quantitative strategy for minimizing energy. Widespread practice is to simply use on-off, that is, have air conditioning-on when a room is occupied, and conditioning-off, when un-occupied. Here we apply the probabilistic Fr 13 risk framework (Chem. Eng. Sci. 152 (2016) 213-226) for the first time to take account of naturally occurring fluctuations in daily ambient peak temperature (T-o), occupancy rates (L-T) and room traffic inflow and outflows (n) in a typical (hotel) room fitted with heat-attenuating curtains in the hot and dry clime of South Eastern Australia (latitude -37.819708, longitude 144.959936). We use this to synthesise an extended steady-state unit-operations model and assess the two energy strategies for conditioning of the room air to a widely used auto-set bulk temperature of 22 degrees C. It was assumed the impact on overall energy demand from room lighting and refrigerator and occupant metabolism was negligible. We show incident radiative energy will be significant, and using historical ambient temperature fluctuations and occupancy rates, that adoption of the alternative on-only continuous conditioning would use less energy in 93.6% of summer days, based on an overall commercially viable L-T = 75% with the minimum possible room traffic flow of n = 1. Practically, this equates to six (6) only failures of this alternative energy strategy in the 90 days of summer. Importantly, the probabilistic Fr 13 framework permits a practical design for larger-scale quantitative testing of the proposed strategy. A preliminary 10-day 'proof-of-concept' trial showed energy savings of 18.9% (AUD $2.23 per suite (paired-room) per day) with a concomitant 20.7% reduction in GHG. Findings will be of immediate interest and benefit to operators and managers of large buildings that rely on conditioning of dry air in summer. Crown Copyright (C) 2018 Published by Elsevi
机译:夏季室内空气的调理被广泛实践。然而,许多运营商没有整体定量策略以最大限度地减少能量。广泛的实践是只要使用开关,即当房间被占用时,有空调,并且在未占用时调节。在这里,我们将概率为13风险框架(Chem.Chi。SCI。第152(2016)213-226)首次考虑日常环境峰值温度(至),占用率(LT)的天然发生的波动。房间交通流入和外流(n)在典型(Hotel)的房间里,澳大利亚东南部的炎热和干燥的Clime(Latitude -37.819708,经度144.959936)。我们使用它来合成扩展的稳态单元运算模型,并评估房间空调的两个能量策略,以广泛使用的自动设定的散装温度为22摄氏度。它是对整体能源需求的影响室内照明和冰箱和乘员代谢可忽略不计。我们展示了事件辐射能量将是显着的,并且利用历史环境温度波动和占用率,即采用替代的仅仅连续调理将在夏日的93.6%的情况下使用较少的能量,基于整体商业上可行的LT = 75%使用最低可能的房间流量为n = 1.实际上,这相当于夏季90天的这种替代能源战略的六(6)个失败。重要的是,概率FR 13框架允许实用的设计进行提出的策略的大规模定量测试。初步10天的“概念证明”试验显示节能为18.9%(每天每天223美元,每天223美元),伴随着20.7%的GHG减少。调查结果将是立即兴趣和利益的大楼的经营者和经理,依靠夏季依靠干燥空气的调理。欧姆普发布的皇冠版权(c)2018年

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