• A simple simulation tool for world-wide analysis of data center infrastructure energy efficiency (power usage effectiveness);

• A robust simulation tool for large-scale global analysis, low demanding on computational resource, without sacrificing prediction accuracy;

• Physics-based model supporting national-level scenario analysis;

• Support effective PUE target-setting according to Climate Zone.

• Hyperscale data centers with airside economizer + adiabatic cooling: PUE_AE_Chiller(w_aech,*data)
• Hyperscale data centers utilizing evaporative cooling capability of cooling towers (waterside economizer): PUE_WEC_Chiller(w_wech,*data)
• Hyperscale data centers with seawater cooling (waterside economizer): PUE_WES_Chiller(w_wech,*data)
• Examples of using the PUE simulation tool can be found at: Simple examples for using the PUE simulation tool.ipynb

• Climate condition
• Hyperscale data center energy system parameters (equipment specifications, system operational efficiency metrics, and indoor environment set points)
• Inputs for sensitivity analysis: please refer to Table A.1. Model input values and ranges in the Energy paper: https://doi.org/10.1016/j.energy.2020.117556
• Inputs for uncertainty quantification: based on location-specific climate data and calibriated system parameters described in the Energy paper: https://doi.org/10.1016/j.energy.2020.117556

• Hyperscale data centers with airside economizer + adiabatic cooling: See Jupyter Notebook F.1.1_AE_sensitivity analysis.ipynb
• Hyperscale data centers utilizing evaporative cooling capability of cooling towers (waterside economizer): See Jupyter Notebook F.1.2_WEC_sensitivity analysis.ipynb
• Hyperscale data centers with seawater cooling (waterside economizer): See Jupyter Notebook F.1.3_WES_sensitivity analysis.ipynb

• Lei, Nuoa, and Eric Masanet. "Statistical analysis for predicting location-specific data center PUE and its improvement potential." Energy (2020): 117556. https://doi.org/10.1016/j.energy.2020.117556

Author: Nuoa Lei ([email protected]）