The explosive growth of artificial intelligence is creating an unprecedented energy crisis as tech companies scramble to power resource-intensive data centres optics articles. To bypass long grid connection delays and massive infrastructure shortfalls, companies are turning to unconventional power sources like second-hand gas turbines and retired aircraft jet engines.
Global turbine manufacturing capacity sits at roughly 60 to 70 gigawatts annually, while surging orders have crossed 100 gigawatts, creating a widening supply deficit. Major turbine manufacturers like Siemens Energy, GE Vernova, and Mitsubishi Heavy Industries are facing overwhelming backlogs that stretch delivery times up to six years in the United States.
The Rising Demand for Alternative Power Solutions
This severe imbalance has triggered a booming market for pre-owned and refurbished power-generation machinery optics news. Used gas turbines are currently fetching between $1.5 million and $1.7 million per megawatt, while refurbished units sell for roughly $1.3 million per megawatt.
Economics and Speed of Secondary Machinery
In comparison, brand-new equipment can cost between $2 million and $2.5 million per megawatt and take years to arrive. On-site power generation via these turbines allows developers to produce electricity directly at data centre locations, reducing reliance on public electrical grids.
Consequently, a specialized secondary market is flourishing as firms race to source, repair, and resell older machinery to keep AI expansion plans alive. With global demand projected to climb significantly higher over the next few years, the reliance on aging infrastructure underscores the immediate physical constraints facing the tech industry.
Here is the source article for this story: AI’s growing energy appetite revives market for ageing turbines, jet engines
