Confronting the energy challenge that database is essential for a green future

One of the most important ways for the world to treat climate change is through renewable energy. However, the possibility of renewable energy sources created a sustainable future is threatened with the environmental impact of emerging technologies such as artificial intelligence. These technologies depend on data centers, whose continuous thirst for energy is the ability of renewable sources to meet the demand.

Confronting the energy challenge of the data centers is necessary to cancel the real capabilities of renewable energy. This has led to exploring some new power generation methods, such as small standard reactors-smaller nuclear reactors designed to be easier to collect and transport to sites that are needed in the additional network. But a long -term sustainable solution will require a shift in the way energy producers, distributors and consumers believe. Instead of trying to meet the energy needs that are constantly growing, the move towards a “data data perspective” would put considerations on the use of data at the core of decisions related to power generation and consumption. In other words, to ensure that renewable energy remains viable, the discourse on the transmission of energy should include focusing on highlighting, organizing and reducing the effect of the data center.

Technologies that have become part of daily life – such as large language models and automatic vehicles – require data centers to store huge amounts of information. Global data centers consume about 1 % of global electricity in 2024, or 460 hours of Terawatt, which is close to the electricity consumed by residential families worldwide. In the United States, which is estimated to have the largest number of databases in the world, the centers consumed about 4.4 % of all American electricity in 2024, a number expected to rise to 12 % by 2028.

Electricity will continue to be used by databases to rise at an increasing rate-and will be followed by a global carbon mark. One of the study 2022 found that between information communication technologies, databases lead the fastest growth in carbon fingerprint (De Times And others. J. Clean. prod. 371133633; 2022).