OpenData® Cooling Module
OpenData® Cooling Module
The OpenData Cooling Module uses data collected from environmental sensors for operational analysis of cooling distribution and efficiency as well as compliance with SLAs and industry standards.
SLA, business requirements, and government regulations have increased the pressure to reduce operational costs. This has forced data center managers to find ways to improve the efficiency of their cooling technology without risking heat-related failures or reductions in the equipment’s useful life.
The key to maximizing cooling efficiency is the availability of robust, real-time environmental monitoring, providing the granular data needed to make informed decisions about the costs and risks associated with your cooling strategy. It also allows for proactive steps to be taken where you have opportunities for improvement.
Module Highlights
- Improved operational efficiency, reducing energy consumption
- Risk reduction (Unplanned Outages)
- Extended equipment life
- Represent environmental data in several formats including thermal distribution charts and psychrometric
- Zone-level analysis and monitoring of thermal gradients for better identification of hot/cold spots and cooling capacity
- Provides insightful representations from a complex array of sensor array of real-time environmental data including temperature, humidity, and pressure.
Granular levels of environmental monitoring at the device, rack, room, pod, zone, etc. - User-friendly data transformation algorithms to build environmental performance metrics for analysis and improvement
- Visual trending and alarm/alert escalation to reduce the risk of heat related downtime
- Normalized integration interface to environmental control systems (BMS)
