Data-driven organizations that embrace Digital Transformation possess immense potential for innovation and enhanced efficiency. However, it is also crucial to leverage that potential for the good of the planet and turn your sustainability ambitions into measurable and tangible results.
Feel free to share your ideas, thoughts, and insights regarding practical applications, best practices, and examples of how data can be harnessed to reduce environmental footprints. Remember, even the tiniest actions can yield a huge impact.
Let's help our precious planet by inspiring each other!
Energy Management in data centers and buildings.
Utilizing data to optimize energy consumption in buildings, factories, and other facilities, by implementing smart sensors, meters, and IoT devices to collect real-time energy data.
Through analysis of this data, it could be possible to identify areas of energy waste, optimize energy usage patterns, and make informed decisions on energy-efficient technologies and practices.
To an extent heat generated by data centers could be transferred to heat other areas of a building during cold weather times.
Indeed – one of the unique capabilities of DataMiner is to source data from pretty much any imaginable source, and the first step is to focus on collecting all possible relevant data related to the topic. That could include integrating with Power Distribution Units (PDUs), environmental systems like cooling, etc. And when the data is not available, there’s an abundance of very affordable sensors available to measure currents, voltages, temperatures, etc. But the first step is definitely to start looking at consolidating all the data in DataMiner, to unify it in the DataMiner digital twin, and then you can start working on the various use cases that can help you reduce your environmental footprint.