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Results from a commercial-scale experimental validation 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:具有定量策略的商业规模实验验证,以最小化夏季在建筑物中的干燥空气调节能源的能量验证,波动环境和房间占用率

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Conditioning of room air in summer is important globally. Many building however do not have an energy strategy predicated on quantitative unit-operations principles. To address this, a new probabilistic model was synthesised (Chem. Eng. Sci. XXX (2017) xxx-xxx) and a quantitative on-only strategy proposed to minimize electrical energy used. Here for the first time we report an extensive commercial-scale test of this strategy over 77 contiguous days of summer (Jan. to Mar.) in a large hotel (169 rooms) in S-E Australia (latitude -37.819708, longitude 144.959936) - a hot and dry clime. Two, dimensionally-identical suites (each of two rooms), with the same fit-out and (S-E) aspect, together with identical air conditioner (8.1 kW) and 'smart' (National Meter Identification) meters to automatically transmit contiguous (24-7) electrical use (at 30 min intervals) (n = 3696). Each suite (10.164 x 9.675 m floor plan) was auto-set to a bulk interior air temperature of 22 degrees C. In one (treated) the air conditioner was operated continuously (on-only), whilst in the other (control) it was left to wide-spread industry practice of switching on whilst the room is occupied, and off, when un-occupied (on-off). The suites had standard, single-glazed pane windows or curtain wall with heat-attenuating (fabric) internal curtains. Ambient peak temperature ranged from 17.8 to 39.1 degrees C. There were 32 days with recorded rainfall. Overall occupancy rate of both suites was almost identical at 69.6 and 71.2% respectively for the treated and control suite. This coincided with a typical business period for the hotel. Based on independent electrical energy invoices, results showed the treated suite used less energy on 47 days (61%) of the experimental period. Greenhouse gases were reduced by 12%. Savings in electrical energy cost of AUD $0.75 per day (9%), averaged over the period, were found for the treated suite adopting the alternative on-only strategy. Experimental findings overall
机译:在夏天的房间空气调节是重要的。然而,许多建筑物没有关于定量单位运营原则的能源策略。为了解决这一点,合成了一个新的概率模型(Chem.Eng.SCI。XXX(2017)XXX-XXX)和建议最小化所用电能的定量策略。在这里,我们首次报告了在SE澳大利亚的一个大型酒店(169间客房)的大型酒店(1月至3月)在Se Australia(纬度-37.819708)的大型酒店(1月至377.819708)中提供了广泛的商业规模测试。a热和干燥的水流。两种,尺寸相同的套房(每个房间中的每一个),具有相同的装配和(SE)方面,以及相同的空调(8.1kW)和“智能”(国家仪表识别)仪表,以自动传输连续(24 -7)电气使用(30分钟间隔)(n = 3696)。每套套房(10.164 x 9.675 m平面图)自动设置为22℃的散装内部空气温度。在一个(处理)中,空调连续操作(仅在一起),而另一个(控制)留在宽阔的行业练习的同时在房间被占用,休息时(开关)。套件有标准,单釉窗帘或带有热衰减(织物)内窗帘的窗帘墙。环境峰值温度为17.8至39.1摄氏度。降雨量有32天。对于治疗和控制套件,两套套房的总体占用率几乎与69.6和71.2%相同。这恰逢酒店的典型业务期。基于独立电能发票,结果显示治疗后的套件在47天(61%)的实验期内使用的能量较少。温室气体减少了12%。在经过处理的套件中,每天每天每天的电能成本(9%)的电能成本节省每天的储蓄实验结果整体

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