| Title |
Development of Row-based Energy Evaluation Methodology for Legacy Data Centers and M&V Baseline Models based on PUE |
| Authors |
Jinkyun Cho ; Won-Pyo Hong |
| DOI |
https://doi.org/10.6110/KJACR.2020.32.2.088 |
| Keywords |
데이터센터; 측정 및 검증; 구역단위 에너지평가; 전력사용효율화; 베이스라인 Data center; M&V; Row-based energy evaluation; PUE; Energy baseline |
| Abstract |
Data centers usually operate 24/7 year round and are very energy intensive. A data center sometimes uses up to 50 times more energy than a typical office building. High energy consumption can be attributed primarily to the IT demands and cooling equipment, power distribution. M&V (Measurement and Verification) is practical for all building types. An accurate determination of the energy baseline provides valuable feedback on the ECMs (energy conservation measures). As an alternative to the existing baseline method for normal buildings, we developed an energy baseline model for the M&V based on prediction models with the PUE index. This paper specifies a methodology of developing the PUE-based baseline for energy savings from the installation of mechanical and electrical systems in the data centers. In applying the PUE-based energy baseline, we derived the non-IT reference model and the baseline PUE for the IT server room area of large data centers in operation. This paper presents the standardized M&V approaches which target the minimizing of variations in quality across the analyses, and energy baseline requirements for data center projects and identifies energy prediction rules. |