Analysis of Energy Use for A Higher Education Institution's Data Center

Energy consumption in data centers remains a critical concern for sustainable IT operations. This study analyzes energy usage patterns in the Data Center at Montclair State University, a Higher Education Institution in United States. It uses real-time environmental and power consumption data collected by a sensor network created as part of the Green IT Project, a previously funded campus project. The dataset includes temperature, humidity, energy supply and demand, and system performance metrics. Data were ingested, stored, and processed using a combination of database technologies and data visualization tools. Graphs and queries were generated to identify trends, correlations, and potential inefficiencies in the system's energy behavior. The approach enables continuous updates and dynamic interaction with the underlying datasets. Preliminary results indicate strong correlations between environmental conditions and energy demand, with visualizations revealing specific patterns of inefficiency. These findings demonstrate the potential of data-driven monitoring to inform energy optimization strategies in institutional data centers.