Study on load forecasting to data centers of high power density based on power usage effectiveness

2016 International Conference on New Energy and Future Energy System

Zhou, C.C.^1 ; Zhang, F.^2 ; Yuan, Z.^1 ; Zhou, L.M.^1 ; Wang, F.M.^2 ; Li, W.^2 ; Yang, J.H.^1

College of Information and Electrical Engineering, China Agricultural University, Beijing

100083, China^1

Beijing Electric Power Economic Research Institute, Beijing

100055, China^2

关键词: Building structure;    Climatic conditions;    Group Decision Making;    High power density;    Influential factors;    Language informations;    Load forecasting;    Spatial load forecasting;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/40/1/012053/pdf
DOI  :  10.1088/1755-1315/40/1/012053

来源: IOP

【 摘 要 】

There is usually considerable energy consumption in data centers. Load forecasting to data centers is in favor of formulating regional load density indexes and of great benefit to getting regional spatial load forecasting more accurately. The building structure and the other influential factors, i.e. equipment, geographic and climatic conditions, are considered for the data centers, and a method to forecast the load of the data centers based on power usage effectiveness is proposed. The cooling capacity of a data center and the index of the power usage effectiveness are used to forecast the power load of the data center in the method. The cooling capacity is obtained by calculating the heat load of the data center. The index is estimated using the group decision-making method of mixed language information. An example is given to prove the applicability and accuracy of this method.