GE Vernova to Supply 100 MW Wind Project for Powerica in Gujarat

GE Vernova Inc. announced that it has signed an agreement with Powerica Limited to supply 28 of its 3.8 MW–154m onshore wind turbines for the Botad Wind Farm in Gujarat, India. 

The 100 MW wind project represents the first deployment of GE Vernova’s new 3.8 MW workhorse turbine in India. Under the agreement, GE Vernova will supply and install the turbines, further building on its long-standing relationship with Powerica, with this project becoming the fourth wind farm developed jointly by the two companies. Powerica obtained the project’s Power Purchase Agreement (PPA) through a competitive bidding process organized by Gujarat Urja Vikas Nigam Limited (GUVNL). Project deliveries are scheduled to commence in Q4 of 2026. In addition, GE Vernova has received certification from the Ministry of New and Renewable Energy (MNRE) and has been included in the Approved List of Models and Manufacturers of Wind Turbines (ALMM), a prerequisite for wind turbine manufacturers operating in India’s wind energy sector.

The project will be supported by GE Vernova’s manufacturing facility in Pune, India, which is expected to achieve an annual production capacity of up to 1,500 MW at full scale. This development marks GE Vernova’s fourth wind project in the state of Gujarat and the first deployment of its newly introduced 3.8 MW–154m workhorse turbine in the Indian market. Engineered to meet the evolving requirements of Indian wind energy developers, the turbine combines reliability, efficiency, and scalability. Key features include a 30-year design life, enhanced lightning protection systems, and the industry's first digital blade certification for every blade manufactured. The turbine also enables efficient project execution through the use of tubular steel towers and compatibility with 650-ton crane installations, helping reduce construction time and costs. Additionally, its major components are designed with industry-leading service factors, supporting high operational reliability and maximizing turbine availability.