Greenhouse Gas Laser Imaging Tomography Experiment ( Green Lite ) Email Page
Print This Page
Performer:  Exelis, Inc. Location:  Fort Wayne, Indiana
Project Duration:  10/01/2013 – 03/31/2016 Award Number:  FE0012574
Technology Area:  Monitoring, Verification, Accounting, and Assessment Total Award Value:  $2,086,635
Key Technology:  MVAA: Atmospheric Monitoring DOE Share:  $1,658,750
Performer Share:  $427,885

The baseline topology for the Green LITE MVA system
The baseline topology for the Green LITE MVA system

Project Description

This project is developing a system that can make high quality atmospheric near-surface CO2 measurements over an open area by using two prototype scanning sensors and coupling them with a series of retro-reflecting mirrors in a grid network. The prototype system will be deployed to the Zero Emissions Research and Technology (ZERT) field site for simulated leak tests of realistic scenarios expected for carbon storage sites. The ZERT test will deliver an extended data set for quantified validation of the precision and accuracy of the 2D concentration and flux maps. The system will be further refined and subsequently deployed to the Illinois Basin Decatur Program site for remote, autonomous monitoring at an active CO2 storage site.

Project Benefits

This project focuses on the development and testing of a novel system that is capable of detecting CO2 leaks over large areas being considered for underground carbon storage, up to several square kilometers. Improved surface monitoring will quickly identify where remedial measures are needed to prevent CO2 emissions to the atmosphere. Specifically, this project achieves its targets via remote active sensing technologies that quantitatively measure atmospheric CO2 and that can generate 2D concentration and flux maps over the entire carbon storage field, which, in turn, will enable CO2 leaks to be located, quantified and addressed based on real-time web interface.

Presentations, Papers, and Publications

Contact Information

Federal Project Manager William Aljoe:
Technology Manager Traci Rodosta:
Principal Investigator Jeremy Dobler: