According to media reports, Google is planning to build a massive natural gas power plant in Texas, USA, to support the operation of its large AI data centers. This move has sparked deep questioning about whether major technology companies can fulfill their "net-zero carbon" commitments.
Core Plan: 933 Megawatt "Energy Heart" Ensures AI Campus
The two parties involved in this collaboration are Google and energy company Crusoe Energy. The key details of the project are as follows:
Project Location: Located in Armstrong County, Texas, it will supply power specifically to the Goodnight Data Center campus.
Power Capacity: A natural gas power plant with a planned capacity of approximately 933 megawatts is under construction.
Construction Progress: Permit applications were submitted in January this year, and the construction has already begun.
Environmental Pressure: Annual Carbon Emissions of 45 Million Tons, Emission Reduction Goals Face "Deviation"
Although Google emphasizes that its overall goal remains to promote carbon-free energy, the "power thirst" of its data centers has already raised red flags regarding carbon emissions:
Emission Forecast: After the natural gas power plant comes into use, it is expected to emit approximately 45 million tons of carbon dioxide annually.
Surge in Data: Driven by the expansion of AI business, Google's current greenhouse gas emissions have increased by about 48% compared to 2019.
Industry Dilemma: Tech Giants Fall into "Energy Anxiety"
Google's choice is not an isolated case. As artificial intelligence drives explosive growth in computing power demand, the growth rate of clean energy has been unable to cover the power gap of data centers.
Current Compromise: Even Silicon Valley giants that have long emphasized green energy have had to turn to traditional fossil fuels like natural gas when facing the threat of "computing shutdowns."
Official Response: Google stated that although it has not signed a formal power purchase agreement and is still advancing wind power cooperation, at this stage, stable and reliable base-load power remains a necessity for the survival of AI campuses.
