The indoor parameters are generally non-uniform distributed.Consequently,it is important to study the space cooling/heating load oriented to local requirements.Though the influence of indoor set point,heat sources,and...The indoor parameters are generally non-uniform distributed.Consequently,it is important to study the space cooling/heating load oriented to local requirements.Though the influence of indoor set point,heat sources,and ambient temperature of convective thermal boundary on cooling/heating load has been investigated in the uniform environment in previous research,the influence of these factors,particularly the convective heat gain/loss through a building envelope,on cooling/heating load of non-uniform environment has not yet been investigated.Therefore,based on the explicit expression of indoor temperature under the convective boundary condition,the expression of space cooling/heating load with convective heat transfer from the building envelope is derived and compared through case studies.The results can be summarized as follows.(1)The convective heat transferred through the building envelope is significantly related to the airflow patterns:the heating load in the case with ceiling supply air,where the supply air has a smaller contribution to the local zone,is 24%higher than that in the case with bottom supply air.(2)The degree of influence from each thermal boundary to the local zone of space cooling cases is close to that of a uniform environment,while the influence of each factor,particularly that of supply air,is non-uniformly distributed in space heating.(3)It is possible to enhance the influence of supply air and heat source with a reasonable airflow pattern to reduce the space heating load.In general,the findings of this study can be used to guide the energy savings of rooms with non-uniform environments for space cooling/heating.展开更多
随着新型电力系统的发展,新能源电站与多元负荷的广泛接入增加了电力系统的实时数据量,进而影响到数据中心(internet data center,IDC)的数据吞吐与供能规划。数据中心作为信息物理系统的核心组成部分,其绿色高效供能对于低碳发展具有...随着新型电力系统的发展,新能源电站与多元负荷的广泛接入增加了电力系统的实时数据量,进而影响到数据中心(internet data center,IDC)的数据吞吐与供能规划。数据中心作为信息物理系统的核心组成部分,其绿色高效供能对于低碳发展具有重要意义。该文提出了基于能量流-数据流协同规划理论的电网数据中心服务质量及其综合供能系统联合规划策略,首先针对电网数据负荷特点建立“输入-分类-处理-输出”的数据处理模式;其次利用信息层和供能层的共同能量交换介质建立信息网、冷热电综合供能网深度耦合的信息物理能量交换网络;并以提升信息服务质量和降低综合供能网供能成本为目标,建立了电网数据中心信息层-供能层联合规划模型。最后以某典型数据中心为例验证了所提策略的有效性。展开更多
基金supported by the National Natural Science Foundation of China(No.51638010 and No.51578306).
文摘The indoor parameters are generally non-uniform distributed.Consequently,it is important to study the space cooling/heating load oriented to local requirements.Though the influence of indoor set point,heat sources,and ambient temperature of convective thermal boundary on cooling/heating load has been investigated in the uniform environment in previous research,the influence of these factors,particularly the convective heat gain/loss through a building envelope,on cooling/heating load of non-uniform environment has not yet been investigated.Therefore,based on the explicit expression of indoor temperature under the convective boundary condition,the expression of space cooling/heating load with convective heat transfer from the building envelope is derived and compared through case studies.The results can be summarized as follows.(1)The convective heat transferred through the building envelope is significantly related to the airflow patterns:the heating load in the case with ceiling supply air,where the supply air has a smaller contribution to the local zone,is 24%higher than that in the case with bottom supply air.(2)The degree of influence from each thermal boundary to the local zone of space cooling cases is close to that of a uniform environment,while the influence of each factor,particularly that of supply air,is non-uniformly distributed in space heating.(3)It is possible to enhance the influence of supply air and heat source with a reasonable airflow pattern to reduce the space heating load.In general,the findings of this study can be used to guide the energy savings of rooms with non-uniform environments for space cooling/heating.
文摘随着新型电力系统的发展,新能源电站与多元负荷的广泛接入增加了电力系统的实时数据量,进而影响到数据中心(internet data center,IDC)的数据吞吐与供能规划。数据中心作为信息物理系统的核心组成部分,其绿色高效供能对于低碳发展具有重要意义。该文提出了基于能量流-数据流协同规划理论的电网数据中心服务质量及其综合供能系统联合规划策略,首先针对电网数据负荷特点建立“输入-分类-处理-输出”的数据处理模式;其次利用信息层和供能层的共同能量交换介质建立信息网、冷热电综合供能网深度耦合的信息物理能量交换网络;并以提升信息服务质量和降低综合供能网供能成本为目标,建立了电网数据中心信息层-供能层联合规划模型。最后以某典型数据中心为例验证了所提策略的有效性。
