Personal conditioning system(PCS)is receiving considerable attention due to its energy-saving potential and the ability to satisfy individual comfort requirements.As a part of PCS,personal heating systems can maintain...Personal conditioning system(PCS)is receiving considerable attention due to its energy-saving potential and the ability to satisfy individual comfort requirements.As a part of PCS,personal heating systems can maintain human thermal comfort in cold environments,which leads to their potential role of important heating mode in cold winter,especially in the Hot Summer and Cold Winter regions of China.In order to better promote the development and application of personal heating systems,this paper reviews the published studies.Personal heating systems can be divided into four types based on the mode of heat transfer:conductive,convective,radiative and combinative type.Characteristics of each category and respective devices are introduced.Furthermore,identifying the effects of personal heating on thermal comfort and the models for predicting or evaluating thermal comfort during local heating.This paper would provide users with a guideline for choosing suitable heating equipment during winter.展开更多
The numerical modeling of the impacts of urban buildings in mesoscale meteorological models has gradually improved in recent years. Correctly representing the latent heat flux from urban surfaces is a key issue in urb...The numerical modeling of the impacts of urban buildings in mesoscale meteorological models has gradually improved in recent years. Correctly representing the latent heat flux from urban surfaces is a key issue in urban land-atmosphere coupling studies but is a common weakness in current urban canopy models. Using the surface energy balance data at a height of 140 m from a 325 m meteorological tower in Beijing, we conducted a 1-year continuous off-line simulation by using a coupled land surface model and a single-layer urban canopy model and found that this model has a relatively large systematic error for simulated latent heat flux. To improve the numerical method for modeling latent heat flux from urban surfaces, we combined observational analysis and urban land surface model to derive an oasis effect coefficient for urban green areas; to develop a temporal variation formula for water availability in urban impervious surfaces; and to specify a diurnal profile and the maximum values of anthropogenic latent heat release for four seasons. These results are directly incorporated into the urban land surface model to improve model performance. In addition, this method serves as a reference for studies in other urban areas.展开更多
基金Projects(51978661,51778625)supported by the National Natural Science Foundation of ChinaProject(ACSKL2018KT12)supported by State Key Laboratory of Air-conditioning Equipment and System Energy Conservation,China。
文摘Personal conditioning system(PCS)is receiving considerable attention due to its energy-saving potential and the ability to satisfy individual comfort requirements.As a part of PCS,personal heating systems can maintain human thermal comfort in cold environments,which leads to their potential role of important heating mode in cold winter,especially in the Hot Summer and Cold Winter regions of China.In order to better promote the development and application of personal heating systems,this paper reviews the published studies.Personal heating systems can be divided into four types based on the mode of heat transfer:conductive,convective,radiative and combinative type.Characteristics of each category and respective devices are introduced.Furthermore,identifying the effects of personal heating on thermal comfort and the models for predicting or evaluating thermal comfort during local heating.This paper would provide users with a guideline for choosing suitable heating equipment during winter.
基金supported by National Natural Science Foundation of China(Grant No.41175015)Ministry of Science and Technology of China(Grant Nos.2012BAC22B00 and GYHY200906026)
文摘The numerical modeling of the impacts of urban buildings in mesoscale meteorological models has gradually improved in recent years. Correctly representing the latent heat flux from urban surfaces is a key issue in urban land-atmosphere coupling studies but is a common weakness in current urban canopy models. Using the surface energy balance data at a height of 140 m from a 325 m meteorological tower in Beijing, we conducted a 1-year continuous off-line simulation by using a coupled land surface model and a single-layer urban canopy model and found that this model has a relatively large systematic error for simulated latent heat flux. To improve the numerical method for modeling latent heat flux from urban surfaces, we combined observational analysis and urban land surface model to derive an oasis effect coefficient for urban green areas; to develop a temporal variation formula for water availability in urban impervious surfaces; and to specify a diurnal profile and the maximum values of anthropogenic latent heat release for four seasons. These results are directly incorporated into the urban land surface model to improve model performance. In addition, this method serves as a reference for studies in other urban areas.
