News
SensorComm Receives DOE Funds To Predict Oil & Gas Flameout
IoT-based multi-gas sensor to identify precursors used to predict flameouts for oil & natural gas infrastructure
Albuquerque, NM – 07 August 2023 – SensorComm Technologies, Inc. (the “Company”, “SensorComm” or “SCT”) with offices in New Mexico and California (USA) is pleased to announce the U.S. Department of Energy Office of Fossil Energy & Carbon Management has awarded the Company a Phase I SBIR Grant (“Project”) for methane mitigation that focuses on “An IoT-based Multi-Gas Sensor to Identify Precursors Used to Predict Flameout Events.” SCT is working with The University of New Mexico’s Center for Micro-Engineered Materials (“UNM-CMEM”) as a technology partner.
SensorComm receives DOE funds to predict oil & gas flameout events.
Flameout Events Increase Methane Emissions: Within oil & gas, refineries are one of the larger sources of methane. When methane that is supposed to be burned off doesn’t burn efficiently, or a flameout event occurs, higher emission levels are generated. This is significant because methane’s 100-year Global Warming Potential (GWP) is ~28 times more dangerous than carbon dioxide. SCT is designing a technology that can provide an early-warning alert to signal a flameout as part of a mitigation strategy.
Can A Fundamental Emissions Signature Be Identified? The Project will identify whether a fundamental emissions signature (i.e. a precursor) can be identified prior to a flameout and will develop a multi-gas platform where flameouts can be predicted — resulting in quicker response times — or even prevention.
IoT Multi-Gas Sensor Platform: The sensor platform for the Project is based on an internet-of-things (IoT) multi-gas sensor platform that has been developed in partnership with UNM-CMEM. This system is capable of identifying and quantifying emissions. The key to the system is that it can differentiate various sources of methane (e.g., anthropogenic, wetlands and agriculture). This capability can be applied directly to determine the precursors of a flameout event and will provide the input for the Project’s early-warning alert system.
“A sensor platform that can ‘predict’ flameout events will create a measurable impact on both emissions and safety,” stated Kamil Agi, President & CEO of SensorComm Technologies. “Once the corresponding early-warning alert system has been developed, it can be combined with remote monitoring and integrated into new and existing mitigation strategies.”
Additional information will be made available in future news releases.
Source: SensorComm Technologies, Inc.
Contact: SensorComm Technologies, Inc. (USA) | office@sensorcommtech.com
+1.415.273.9188 | https://sensorcommtech.com | @sensorcommtech
Contact: Center for Micro-Engineered Materials (USA) | https://cmem.unm.edu/index.html
About SensorComm Technologies: SensorComm Technologies, Inc. (SCT) is a data-driven technology company operating in the transportation and energy markets. Our AI-powered, IoT-based climate change technologies provide emission monitoring & leak detection solutions for the oil & gas and intelligent transportation sectors. We generate data that provides real-time actionable intelligence for operational efficiencies & early-warning alert systems enabling people to make smarter decisions for themselves, and the world around them.
About The University of New Mexico Center for Micro-Engineered Materials: The Center for Micro-Engineered Materials (CMEM) is a university wide collaboration bringing world class capabilities in micro and nano science and engineering. Our focus is on “bottom up” additive approaches towards building materials and devices for energy conversion and efficiency, nanomedicine, earth & planetary sciences & environmental geochemistry. The center couples solution and colloid chemistry and physics with advanced manufacturing engineering to provide innovation. We provide multi-disciplinary theoretical, computational and experimental capabilities to solve complex problems. CMEM maintains campus wide high value characterization tools available for the use of the entire UNM research community.