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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >A comparison of the performance of a direct expansion solar assisted heat pump working with R22 and a mixture of R407C-liquefied petroleum gas
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A comparison of the performance of a direct expansion solar assisted heat pump working with R22 and a mixture of R407C-liquefied petroleum gas

机译:与R22和R407C液化石油气混合物一起使用的直接膨胀太阳能辅助热泵的性能比较

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摘要

In the present work, an experimental investigation has been made of a direct expansion solar assisted heat pump (DXSAHP) working with R22 and mixture of R407C-liquefied petroleum gas (LPG). The experiments were carried out under the meteorological conditions of Calicut (latitude of 11.15 ° N, longitude of 75.49 ° E), India. An artificial neural network model with two neurons (ambient temperature and solar intensity) in input layer and five neurons (instantaneous compressor power consumption (PC), heating capacity, energy performance ratio (equivalent to coefficient of performance), compressor discharge temperature, and solar energy input ratio (SEIPR)) in the output layer has been developed for predicting the performance of a DXSAHP based on the data acquired from the experiments. The results showed that R407C-LPG (in the ratio of 70:30, by mass) has 1.2 per cent higher instantaneous compressor PC with 1-4.5 per cent lower heating capacity compared to R22. The energy performance ratio (EPR) of the mixture was found to be lower in the range of 2-5 per cent compared to that of R22. The compressor discharge temperature was also found to be low by 2 ° C compared to R22. The SEIPR of the new mixture was found to be higher than that of R22 in the range of 7-14 per cent. Total equivalent warming impact of new refrigerant mixture was found to be low compared to R22 under leakage conditions. The results confirmed that R407C-LPG is an ozone friendly alternative option to phase out R22 in solar assisted heat pump applications. [PUBLICATION ABSTRACT]
机译:在目前的工作中,已经对与R22和R407C液化石油气(LPG)混合使用的直接膨胀太阳能辅助热泵(DXSAHP)进行了实验研究。实验是在印度Calicut(北纬11.15°N,东经75.49°E)的气象条件下进行的。一个人工神经网络模型,在输入层具有两个神经元(环境温度和太阳强度),在五个神经元中(瞬时压缩机功率消耗(PC),加热能力,能量性能比(等效于性能系数),压缩机排气温度和太阳能)已经开发出输出层中的能量输入比(SEIPR)),以根据从实验中获得的数据来预测DXSAHP的性能。结果表明,与R22相比,R407C-LPG(按质量比为70:30)的瞬时压缩机PC高1.2%,而热容量则低1-4.5%。与R22相比,发现该混合物的能量性能比(EPR)在2-5%的范围内较低。与R22相比,还发现压缩机排气温度低2°C。发现新混合物的SEIPR在7-14%的范围内高于R22。与泄漏条件下的R22相比,发现新制冷剂混合物的总当量加温影响低。结果证实,R407C-LPG是在臭氧辅助热泵应用中淘汰R22的一种臭氧友好替代选择。 [出版物摘要]

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