The World's Most Efficient and Safest Green Propulsion System for Satellites
How Our Technology Works
Our team, along with the Indian Institute of Technology, Bombay (IIT Bombay), have indigenously developed a Hydrogen peroxide-based green propulsion technology. In satellites and spacecrafts, propulsion is achieved through a thruster. Our thruster works on the governing principles of a rocket engine. The key difference is that of the propellant, and hence the internal thruster design. Our thruster uses Hydrogen peroxide with additives to enhance the performance (HPA).
A crucial component governing the performance and life of a thruster is the catalyst. We at Manastu Space have invented a proprietary high temperature catalyst which can effectively decompose hydrogen peroxide, withstand high temperatures and thermal stresses.
The 'I-Booster' system consists of a new Hydrogen Peroxide-based fuel, a bespoke engine design, a new catalyst, and is based on deep IP. With our indigenous yet world's most efficient propulsion system, we enable;
25% Less fuel consumption,
60% Reduction in operational costs,
And a resulting 30% savings for satellite manufacturers and launchers per launch.
Our fuel mitigates the risk caused by a failed primary life support system, enabling the astronauts to fly in confidence for deep space and long duration missions. This is possible because of the highly advantageous by-products (water, oxygen, and heat out) of our fuel when undergone catalytic decomposition. Essentially serving as a secondary life support system in propelling towards viable targets such as Mars.
BESPOKE PROPULSION SYSTEM DESIGN & PROPULSION RESEARCH (TO BE)
Precise, Safe, and Sustainable
Manastu Space provides clients with an expert engineering team equipped with diverse skills to meet various challenges across the Smallsat and Lander propulsion system industry. Through Propulsion Research, we leverage our knowledge to increase efficiency, lower costs, and reduce risk. We are constantly looking for new advancements and technologies to find the smartest and most optimal solutions.