Sustainable Data Centers

Optimizing data center operations to reduce carbon emissions

DATA CENTER CONSUMPTION

Global warming is one of the most contentious international debates that have been heard in both private and public arenas. From rising sea levels and droughts to increasing temperatures and wildfire, the effects of global warming impacts livelihood at all socioeconomic levels. ​​

40% of the total energy of data centers goes to cooling IT equipment. Cooling of such facilities requires significant energy which in effect leads to increased carbon emissions.​

Prioritizing developing countries

Developing countries are particularly susceptible to human health crises, rising sea levels, changing weather patterns, risks of flooding or drought as well as a threats to natural biodiversity.

Localizing data and cloud

Cloud computing and cryptocurrency mining have seen significant increase in usage, resulting in an increase in the amount of cooling required by these expansive server farms.

Keeping emissions in check

14% of world’s emissions will come from data centers by 2040. By getting ahead of the problem now, we can avert many of the negative consequences that will come from dealing with it later.

TOWARDS SUSTAINABLE ENERGY-EFFICIENT DATA CENTERS

In line with the White House 2030 Greenhouse Gas Pollution Reduction Target, our vision is to realize 1% CO2 emission reduction over the next 5 years. To do this, we must rely on a holistic approach involving collaboration across both data center building operators and service tenants. ​ ​​

Smart Building

Our smart building technology is enabled by Digital Twins, which are virtual replicas of a real system, providing prescriptive insights about the performance of the system, in this case a data center. Flapmax is proud is be partnering with Digital Twin Consortium, the Authority in Digital Twin with more than 150 members from industry, government and academia, to help bring efficiency to Industry 4.0, including hyperscale data centers. ​​​

Usage Analytics

Using advanced AI models combined with digital twin models, we are developing usage analytics solutions to monitor, store and analyze important operational data from data centers. This usage analysis involves identifying the various user profiles of specific IT services and determining the usage patterns for those users. The information then serves a basis for estimating load conditions on the data center while enabling predictive analytics & maintenance as well as optimizing the energy consumption. ​​​​

Learn more about our work on sustainable data centers and climate

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