Library & Tools

The Data Center Maturity Model (DCMM) touches upon every aspect of the data center including power, cooling, compute, storage, and networking. In addition, the levels of the model outline current best practices and a 5-year roadmap for the industry. You and your colleagues can use the new tool to assess your data center and IT portfolio against the DCMM, get access to your personal DCMM equalizer, and obtain benchmarking results.*

*Time to complete assessment: 20-30 mins for summary level, 60 minutes for those unfamiliar with DCMM.

The Green Grid has developed the Data Center Maturity Model (DCMM) and supporting white paper to outline capability descriptors by area such that users can benchmark their current performance, determine their levels of maturity, and identify the ongoing steps and innovations necessary to achieve greater energy efficiency and sustainability, both today and into the future.  The maturity model touches upon every aspect of the data center including power, cooling, compute, storage and network. The levels of the model outline current best practices and a 5-year roadmap for the industry.

The Power Usage Effectiveness Estimator will allow you to enter data on the estimated power usage of the components for a data center facility in order to properly estimate the PUE™ of the facility. This tool includes the concept of physical boundaries within a data center and also reports partial PUE™ for these boundaries. Results of the PUE™ estimation can be saved as PDF or CSV files, in a URL for later reference, or emailed. All data is saved anonymously.

The Power Configuration Efficiency Estimator is an interactive online tool that The Green Grid has created as a companion to the “Quantitative Efficiency Analysis of Power Distribution Configurations for Data Centers” White Paper. The PCEE tool allows users to recreate the White Paper’s configurations and comparisons and create and compare your own configurations by using additional pre-loaded components and creating components with your own data.

Find out how to report your PUE™ to The Green Grid and better understand the different classes of reporting.

This online tool has been developed to help data center and facilities managers easily determine how much free air cooling and free evaporative cooling is available for individual data centers. Using country and city name, the tool allows users in Europe to input their specific variables - such as local energy costs, IT load, and facility load - to determine the energy savings for individual facilities.

This online tool has been developed to help data center and facilities managers easily determine how much free air cooling and free evaporative cooling is available for individual data centers. Using cities, the tool allows users in Japan to input their specific variables - such as local energy costs, IT load, and facility load - to determine the energy savings for individual facilities. Other regions will be incorporated in the future.

This online tool has been developed to help data center and facilities managers easily determine how much free air cooling and free evaporative cooling is available for individual data centers. Using cities, the tool allows users in Japan to input their specific variables - such as local energy costs, IT load, and facility load - to determine the energy savings for individual facilities. Other regions will be incorporated in the future.

This online tool has been developed to help data center and facilities managers easily determine how much free air cooling and free evaporative cooling is available for individual data centers. Using zip codes, the tool allows users in the United States and Canada to input their specific variables - such as local energy costs, IT load, and facility load - to determine the energy savings for individual facilities. Other regions will be incorporated in the future.

Spreadsheet used to plug-in power data samples and yield statistics for the PUE Scalability Metric.