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Datadog > Case Studies > Charm Industrial uses Datadog to access critical data in real time as they reduce the effects of climate change
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Charm Industrial uses Datadog to access critical data in real time as they reduce the effects of climate change

Technology Category
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • Renewable Energy
Applicable Functions
  • Maintenance
  • Quality Assurance
Use Cases
  • Condition Monitoring
  • Predictive Maintenance
Services
  • Data Science Services
The Challenge
Charm Industrial’s goal is to reduce the effects of global warming and climate change. Accomplishing that goal will require Charm to sequester gigatons of carbon dioxide (CO₂) from the atmosphere annually using a fleet of fast, mobile pyrolyzers. Charm will eventually operate tens of thousands of pyrolyzers 24/7. For Edward Young, Head of Software and Electronics/Staff Scientist at Charm, this presented a significant challenge. “When you have tens of thousands of systems, you can’t have operators at every single site,” he says. “To scale the business we needed a way to simultaneously monitor numerous systems in real time remotely.” Charm's pyrolyzer systems use high temperatures to decompose agricultural and forest biomass residue and convert it into bio-oil for use in carbon removal. These systems perform various jobs and have demanding safety standards. Each system includes sensors that measure critical data—such as temperature and pressure—to ensure Charm does not exceed safety thresholds. The team needs to monitor all that data in real time.
About The Customer
Charm Industrial is an environmental company that designs, builds, and operates mobile, fast pyrolyzers that work to remove CO₂, in the atmosphere and help mitigate the effects of global climate change. The company's goal is to reduce the effects of global warming and climate change. To achieve this, Charm plans to sequester gigatons of carbon dioxide (CO₂) from the atmosphere annually using a fleet of fast, mobile pyrolyzers. The company's pyrolyzer systems use high temperatures to decompose agricultural and forest biomass residue and convert it into bio-oil for use in carbon removal. These systems perform various jobs and have demanding safety standards. Each system includes sensors that measure critical data—such as temperature and pressure—to ensure Charm does not exceed safety thresholds.
The Solution
Charm uses Datadog’s Infrastructure Monitoring solution as its primary systems monitoring interface to collect and alert on real-time metrics from all Charm's systems and build data visualizations that they can easily share with multiple stakeholders across the company. This instant access to critical data reduced analysis time from two to three days to just hours, allowing the team to easily identify trends and gather deep insights into how systems are performing. Young and his team use Python to aggregate raw data from Charm’s sensors and send it to Datadog as custom metrics, which are then displayed in real time across the company and the globe via dashboards. He was immediately impressed with how quickly he could visualize the data and glean insights using Datadog’s intuitive dashboards with drag-and-drop functionality. Today, the entire technical team of about 30 people has access to system data—including temperature, pressure, flow, and gas composition—through custom-built dashboards that enable them to conduct continuous active monitoring of the systems and alert the appropriate teams to potential problems.
Operational Impact
  • Instant access to critical data reduced analysis time from two to three days to just hours, allowing the team to easily identify trends and gather deep insights into how systems are performing.
  • The entire technical team of about 30 people has access to system data—including temperature, pressure, flow, and gas composition—through custom-built dashboards that enable them to conduct continuous active monitoring of the systems and alert the appropriate teams to potential problems.
  • The pressure gauge on an oil condenser system recently slowly rose over the course of a month. Using dashboards to plot the change alerted Charm engineers to investigate, and they were able to zoom into specific time periods and conduct side-by-side comparisons with previous tests to identify any large deviations from past results. Examining trends through this historical analysis revealed that the system had unexpected material buildup, which prompted the engineers to alert the rest of the team to discuss results and implement new maintenance procedures.
Quantitative Benefit
  • Number of team members with instant access to data visualizations, metrics, and alerts increased from 2 to over 30.
  • Time needed to conduct historical analysis and examine trends to make safety improvements reduced from 2-3 days to hours.

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