Project Innovation + Advantages:
The University of Utah aims to develop and deploy a distributed carbon sensor system that is buried into the soil, capable of locally stimulating a surrounding volume of soils at multiple depths, and sensing carbon and carbon flux at ultra-low operational cost. The sensors will enable high-accuracy and real-time decision data for cost-effective carbon removal, storage, and management to promote climate change mitigation via agriculture and managed land systems. The team aims to develop (1) a UV-based non-destructive CO2 sampling technique, (2) low-cost, wideband, and high-selectivity CO2 sensors, enabling accurate quantification of CO2 among gas mixtures (3) an artificial intelligence-based auto-calibration technique by combining environmental information and infrared spectra to quantify the sensor data, (4) machine learning-based geo-statistical mapping of CO2 distribution and flux over time, with an operational cost of <$10/acre/year on a commercial scale.
Reducing the uncertainty of emissions quantification is critical to realizing the revenue potential of carbon management markets.
New technologies will maintain U.S. leadership in sustainable biofuel production and advanced carbon removal and management.