Google Teams Up with Holocene: A $10 Million Bet on Carbon Capture Technology
Engadget3 months ago
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Google Teams Up with Holocene: A $10 Million Bet on Carbon Capture Technology

Sustainability
google
holocene
sustainability
carboncapture
climatechange
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Summary:

  • Google partners with Holocene for direct-air capture technology.

  • The $10 million deal includes purchasing carbon removal credits at $100 per metric ton.

  • Direct-air capture technology aims to reduce atmospheric CO2 emissions.

  • Google plans to help capture 100,000 tons of carbon by the early 2030s.

  • Despite sustainability efforts, Google's greenhouse gas emissions have risen almost 50 percent.

Google has announced a strategic partnership with Holocene, aimed at enhancing its direct-air capture technology to effectively collect and remove carbon dioxide emissions from the atmosphere. This $10 million deal involves Google purchasing carbon removal credits from Holocene at a rate of $100 per metric ton, aligning with the US Department of Energy's goal to make direct-air capture a viable solution for reducing atmospheric CO2 emissions.

What is Direct-Air Capture?

Direct-air capture refers to the process of collecting carbon dioxide directly from the air, concentrating it, and storing it in underground reservoirs. While promising, the technology has faced challenges regarding cost and scalability. Google aims to support Holocene in capturing and storing 100,000 tons of CO2 by the early 2030s, while also helping to refine their DAC technology. For more insights, Holocene has detailed its approach on their website.

Google's Commitment to Sustainability

Sustainability is a priority for major tech companies, and Google is no exception. They have invested significantly in purchasing carbon offsets, claiming to have eliminated their entire carbon legacy and aiming for carbon neutrality by 2030. However, despite these efforts, Google's greenhouse gas emissions have reportedly increased by almost 50 percent over the past five years, largely due to the rising demands from AI-related data centers.

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