Frosting is a common phenomenon of the ASHP under the heating mode in winter,and the outdoor air flow rate flowing through the evaporator of the ASHP was always thought to be a major contributor.In order to validate i...Frosting is a common phenomenon of the ASHP under the heating mode in winter,and the outdoor air flow rate flowing through the evaporator of the ASHP was always thought to be a major contributor.In order to validate its contribution,effects of outdoor fan airflow rate on the performance of air source heat pumps(ASHPs)were investigated under the winter heating condition.The experiment was conducted in a laboratory at the standard 2℃ air dry bulb temperature(DB)/1℃ air wet bulb temperature(WB)frosting condition,which enabled the analysis of the operating performance,frosting performance,and heating performance of the ASHP unit by changing the airflow rate of the outdoor fan.Results showed that as the airflow rate of the outdoor fan reduced from 100%to 36%,the operating performance decline and the elevated frosting-defrosting loss were observed.Meanwhile,both the frosting rate and the operating efficiency during frosting-defrosting cycles showed an increasing trend then followed by decreasing tendency.The maximum frosting rate and operating efficiency were 0.92 g/m^(2).min and 2.92,respectively,which were observed at 74%airflow rate of the outdoor fan of the ASHP unit.The observation implied the existence of the“minimum frosting suppression airflow rate”.At 36%airflow rate of the outdoor fan of the ASHP unit,however,the performance of the ASHP unit was attenuated greatly,with the frosting-defrosting efficiency loss coefficient of 0.47,the heating capacity and COP reduction by 51.5 and 38.8%,respectively.These findings provided significant references to the optimization of ASHPs performance with variable airflow rate of the outdoor fan under frosting conditions.展开更多
A temperature-based method is usually applied in displacement ventilation (DV) design when overheating is the primary indoor climate concern. Different steady-state models have been developed and implemented to calcul...A temperature-based method is usually applied in displacement ventilation (DV) design when overheating is the primary indoor climate concern. Different steady-state models have been developed and implemented to calculate airflow rate in rooms with DV. However, in practical applications, the performance of DV depends on potentially dynamic parameters, such as strength, type and location of heat gains and changing heat gain schedule. In addition, thermal mass affects dynamically changing room air temperature. The selected steady-state and dynamic models were validated with the experimental results of a lecture room and an orchestra rehearsal room. Among the presented models, dynamic DV model demonstrated a capability to take into account the combination of dynamic parameters in typical applications of DV. The design airflow rate is calculated for the case studies of dynamic DV design in the modelled lecture room in both dynamic and steady-state conditions. In dynamic conditions of heavy construction in 2–4 hours occupancy periods, the actual airflow rate required could be 50% lower than the airflow rate calculated with the steady-state models. The difference between steady-state and dynamic multi-nodal model is most significant with heavyweight construction and short occupancy period (17%–28%). In cases with light construction, the dynamic DV model provides roughly the same airflow rates for four-hour occupancy period than the Mund’s model calculates. The dynamic model can significantly decrease the design airflow rate of DV, which can result in a reduction of investment costs and electrical consumption of fans.展开更多
https://www.sciencedirect.com/journal/energy-and-buildings/vol/342/suppl/C Volume 342,1 September 2025[OA](1)Experimental validation of neural network-based prediction of natural ventilation bulk airflow rate by Jo ao...https://www.sciencedirect.com/journal/energy-and-buildings/vol/342/suppl/C Volume 342,1 September 2025[OA](1)Experimental validation of neural network-based prediction of natural ventilation bulk airflow rate by Jo ao Carlos Sim oes,Guilherme Carrilho da Graca,Article115871Abstract:To fully exploit natural ventilation(NV)as an energysaving strategy in mixed-mode buildings,accurate real-time prediction of NV airflow rates is essential.Current approaches for NV airflow rates prediction often rely heavily on expertise knowledge and computationally demanding methods such as Computational Fluid Dynamics(CFD)as well as expensive and complex direct airflow measurements.展开更多
基金supported by the Shandong Provincial Natural Science Foundation with the granted number ZR2022ME148.
文摘Frosting is a common phenomenon of the ASHP under the heating mode in winter,and the outdoor air flow rate flowing through the evaporator of the ASHP was always thought to be a major contributor.In order to validate its contribution,effects of outdoor fan airflow rate on the performance of air source heat pumps(ASHPs)were investigated under the winter heating condition.The experiment was conducted in a laboratory at the standard 2℃ air dry bulb temperature(DB)/1℃ air wet bulb temperature(WB)frosting condition,which enabled the analysis of the operating performance,frosting performance,and heating performance of the ASHP unit by changing the airflow rate of the outdoor fan.Results showed that as the airflow rate of the outdoor fan reduced from 100%to 36%,the operating performance decline and the elevated frosting-defrosting loss were observed.Meanwhile,both the frosting rate and the operating efficiency during frosting-defrosting cycles showed an increasing trend then followed by decreasing tendency.The maximum frosting rate and operating efficiency were 0.92 g/m^(2).min and 2.92,respectively,which were observed at 74%airflow rate of the outdoor fan of the ASHP unit.The observation implied the existence of the“minimum frosting suppression airflow rate”.At 36%airflow rate of the outdoor fan of the ASHP unit,however,the performance of the ASHP unit was attenuated greatly,with the frosting-defrosting efficiency loss coefficient of 0.47,the heating capacity and COP reduction by 51.5 and 38.8%,respectively.These findings provided significant references to the optimization of ASHPs performance with variable airflow rate of the outdoor fan under frosting conditions.
文摘A temperature-based method is usually applied in displacement ventilation (DV) design when overheating is the primary indoor climate concern. Different steady-state models have been developed and implemented to calculate airflow rate in rooms with DV. However, in practical applications, the performance of DV depends on potentially dynamic parameters, such as strength, type and location of heat gains and changing heat gain schedule. In addition, thermal mass affects dynamically changing room air temperature. The selected steady-state and dynamic models were validated with the experimental results of a lecture room and an orchestra rehearsal room. Among the presented models, dynamic DV model demonstrated a capability to take into account the combination of dynamic parameters in typical applications of DV. The design airflow rate is calculated for the case studies of dynamic DV design in the modelled lecture room in both dynamic and steady-state conditions. In dynamic conditions of heavy construction in 2–4 hours occupancy periods, the actual airflow rate required could be 50% lower than the airflow rate calculated with the steady-state models. The difference between steady-state and dynamic multi-nodal model is most significant with heavyweight construction and short occupancy period (17%–28%). In cases with light construction, the dynamic DV model provides roughly the same airflow rates for four-hour occupancy period than the Mund’s model calculates. The dynamic model can significantly decrease the design airflow rate of DV, which can result in a reduction of investment costs and electrical consumption of fans.
文摘https://www.sciencedirect.com/journal/energy-and-buildings/vol/342/suppl/C Volume 342,1 September 2025[OA](1)Experimental validation of neural network-based prediction of natural ventilation bulk airflow rate by Jo ao Carlos Sim oes,Guilherme Carrilho da Graca,Article115871Abstract:To fully exploit natural ventilation(NV)as an energysaving strategy in mixed-mode buildings,accurate real-time prediction of NV airflow rates is essential.Current approaches for NV airflow rates prediction often rely heavily on expertise knowledge and computationally demanding methods such as Computational Fluid Dynamics(CFD)as well as expensive and complex direct airflow measurements.
