Reducing energy consumption is one of the priorities of data center owners. First of all, by reducing the huge electric bill. But also for environmental responsibility. This explains why data centers are betting on sustainability in recent years.

Google is one of the companies that is making the most efforts in this regard. For example, its data centers incorporate highly efficient evaporative cooling techniques, have intelligent temperature and lighting controls, and apply the principles of ‘circular economy’.

Furthermore, it compensates each unit of energy it consumes with a unit of energy from renewable sources. It has been carbon neutral since 2007. On the other hand, the company adjusts its data center computing to keep it as busy as possible, trying to do more with fewer servers. Applying machine learning to increase the energy efficiency of your data centers is also being very important.

Now he is trying to get 24 × 7 carbon-free energy everywhere he has data centers. For this, it is essential to work with carbon-free energy sources, such as solar and wind. And the last step that the Mountain View company has taken goes precisely in this line.

In a post published by one of its engineers on its blog, Google explains that it has developed a new ‘carbon smart computing platform’, which is already working in its largest data centers.

Its objective is to adjust the workload and distribute it better throughout the day, taking advantage of the increase in computing tasks coinciding with the peaks of electricity production from low-carbon energy sources, such as wind and solar.

The company emphasizes that this is achieved without additional hardware and without affecting the performance of search services, Maps, or YouTube, which must respond effectively 24 hours a day. Google achieves this flexibility by modifying the time of non-urgent computing tasks, such as creating new filtering functions in Google Photos, YouTube video processing, or adding new words to your translator.

To do this, the smart platforms of each data center consult the forecasts of their partner Tomorrow, which predicts how the average hourly carbon intensity of the local electrical network will change throughout the day. At the same time, Google performs a complementary internal forecast, estimating the hourly energy resources that each data center will need to carry out its computing tasks during the day.

These two forecasts are compared and their results are used to plan the hour-by-hour shift, adjusting the computation to better take advantage of the times when there is greater availability of low-carbon electricity supply.

Additionally, Google is investigating ways to better distribute flexible computing tasks among different data centers, so that work is increased in those centers and at times when it is possible to make better use of renewable energy.
Google is launching new smart platforms in its data centers, taking advantage of peaks in renewable energy production to better distribute computing tasks and reduce its carbon footprint.

Reducing energy consumption is one of the priorities of data center owners. First of all, by reducing the huge electric bill. But also for environmental responsibility. This explains why data centers are betting on sustainability in recent years.

Google is one of the companies that is making the most efforts in this regard. For example, its data centers incorporate highly efficient evaporative cooling techniques, have intelligent temperature and lighting controls, and apply the principles of ‘circular economy’.

Furthermore, it compensates each unit of energy it consumes with a unit of energy from renewable sources. It has been carbon neutral since 2007. On the other hand, the company adjusts its data center computing to keep it as busy as possible, trying to do more with fewer servers. Applying machine learning to increase the energy efficiency of your data centers is also being very important.

Now he is trying to get 24 × 7 carbon-free energy everywhere he has data centers. For this, it is essential to work with carbon-free energy sources, such as solar and wind. And the last step that the Mountain View company has taken goes precisely in this line.

In a post published by one of its engineers on its blog, Google explains that it has developed a new ‘carbon smart computing platform’, which is already working in its largest data centers.

Its objective is to adjust the workload and distribute it better throughout the day, taking advantage of the increase in computing tasks coinciding with the peaks of electricity production from low-carbon energy sources, such as wind and solar.

The company emphasizes that this is achieved without additional hardware and without affecting the performance of search services, Maps, or YouTube, which must respond effectively 24 hours a day. Google achieves this flexibility by modifying the time of non-urgent computing tasks, such as creating new filtering functions in Google Photos, YouTube video processing, or adding new words to your translator.

To do this, the smart platforms of each data center consult the forecasts of their partner Tomorrow, which predicts how the average hourly carbon intensity of the local electrical network will change throughout the day. At the same time, Google performs a complementary internal forecast, estimating the hourly energy resources that each data center will need to carry out its computing tasks during the day.

These two forecasts are compared and their results are used to plan the hour-by-hour shift, adjusting the computation to better take advantage of the times when there is greater availability of low-carbon electricity supply.

Additionally, Google is investigating ways to better distribute flexible computing tasks among different data centers, so that work is increased in those centers and at times when it is possible to make better use of renewable energy.

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