The Sun to Power the Starliner


Reading time ( words)

Boeing will use solar energy to power the company’s CST-100 Starliner for crew missions to and from the International Space Station as part of NASA’s Commercial Crew Program. The sun’s energy offers a reliable and efficient power source for the Starliner just as it does for the space station and satellites.

The Starliner will use solar cells made of three distinct cell layers to capture different portions of the energy spectrum to convert solar energy into more than 2,900 watts of usable electricity and allow astronauts to complete their journey to the orbiting laboratory. The system also will create enough power to run the Starliner’s systems while it is docked to the station for roughly six months at a time. The solar cells will be incorporated into the micro-meteoroid debris shield located at the bottom of the spacecraft’s service module. Spectrolab in Sylmar, California, is supplying the more than 3,500 solar cells for each spacecraft.

NASA’s Commercial Crew Program has partnered with private companies, Boeing and SpaceX, to take astronauts to and from the space station. Each company is building their own unique systems to meet NASA mission and safety requirements, and will return human launch capabilities to American soil. 

Editor's note: This article was originally posted on Steven Siceloff's blog at NASA.gov.

Share

Print


Suggested Items

Enabling Revolutionary Nondestructive Inspection Capability

06/17/2019 | DARPA
X-rays and gamma rays have a wide range of applications including scanning suspicious maritime shipping containers for illicit materials, industrial inspection of materials and processes, and medical diagnostic and therapeutic procedures.

Designing Chips for Real Time Machine Learning

04/01/2019 | DARPA
DARPA’s Real Time Machine Learning (RTML) program seeks to reduce the design costs associated with developing ASICs tailored for emerging ML applications by developing a means of automatically generating novel chip designs based on ML frameworks.

Researchers Selected to Develop Novel Approaches to Lifelong Machine Learning

05/07/2018 | DARPA
Machine learning (ML) and artificial intelligence (AI) systems have significantly advanced in recent years. However, they are currently limited to executing only those tasks they are specifically designed to perform and are unable to adapt when encountering situations outside their programming or training.



Copyright © 2019 I-Connect007. All rights reserved.