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A global energy technology firm that operates at the intersection of digital and industrial solutions partnered with Zemoso to launch a new solution that would help industrial manufacturing companies manage greenhouse gas (GHG) emissions more efficiently. Their customers needed a more robust, scalable, and accurate emissions tracking system for their decarbonization efforts. This was a result of increased regulatory scrutiny, corporate pledges to net-zero, and the need for operational efficiencies.
The energy sector is one of the largest contributors to global GHG emissions. As of November 2024, Global Carbon projected that the total carbon dioxide (CO₂) emissions will be 41.6 billion tonnes in 2024. This is up from 40.6 billion in 2023. Fossil CO₂ emissions were estimated to contribute 37.4 billion to this. Advancements in remote sensing and analytics capabilities have improved emissions tracking. Accurate and real-time reporting can make large-scale, complex deployments more efficient. If companies don’t address this, they risk non-compliance, damage to their reputation, and cost escalations.
Zemoso was tasked with building a solution that took on this challenge. The solution has to be excellent at processing high-frequency operational data across different instruments, assets, and locations. This data varied in formats. The solution needs to aggregate emissions equivalents using complex chemistry-based expressions. It needs to detect anomalies, send the right alerts, and reduce false alarms. This solution also had to easily integrate into the existing workflows for other maintenance and monitoring solutions for holistic overviews.
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Zemoso brought domain and phygital product development expertise to launch this solution. Agile, outcome-based pods delivered key functionalities incrementally. The team brought expertise in data engineering, microservices-based architecture, and real-time analytics to create a scalable and modular platform.
Zemoso, in partnership with the customer’s internal team, created a solution that was capable of processing and visualizing large amounts of emissions data. It was an automated, data-driven emissions management platform that tracked emissions across several standards. It also provided real-time reporting and visualization capabilities. The platform used operational data and pre-set chemical equations to calculate emission equivalents for various equipment and devices.
Improve data ingestion: The platform automated data ingestion so that users can upload instrument-specific expressions, asset information, and high-frequency operational time-series data. While this upload was still manual in the early stages of the product build, the system would automatically throw an error if it did not meet the value/format requirements. Later on, a configurator was built to automate the entire process as part of a separate project.
Emissions estimations: The system uses scientific chemical equations and principles to determine how much of one substance is equivalent to another in terms of emissions. They include chemical reactions, molecular weights, and conversion factors to translate raw data into standardized emission metrics like CO₂ equivalents (CO₂e). It aggregates data across several plants and equipment.
Anomaly detection: A rule-based engine compared expected emissions thresholds against the actual time-series data input to flag discrepancies for further inquiry.
Performance monitoring: The solution had interactive dashboards for plant operators with actionable insights into emission trends to optimize operations.
Data export and compliance reporting: Users of this solution could then generate plant-level reports to add to compliance and internal audit reports.
Cross-product integrations: This emissions monitoring and reporting solution works in tandem with other emission control components used in industrial operations. One example of such a component was for a system that uses flare gas as a power source, and this control component was responsible for avoiding direct flaring while also upgrading existing equipment function for increased efficiency. These systems maximize energy recovery from waste gases, reducing emissions and increasing output. However, it is challenging to determine the exact impact without a centralized system for tracking and quantifying emission reductions. The greenhouse gas emissions monitoring and reporting solution complements these efforts. It made it easier to track things in real time, measure emissions, and find problems. This made sure that the efficiency gains from reducing flares were accurately proven.
Scalability with new equipment: This solution was also built to evolve and scale easily. For example, as natural gas operations were being retrofitted with new valves to reduce methane leaks, this system was able to ingest that data and deliver the right level of diligence.
This emissions monitoring platform enabled energy companies to automate emissions tracking, enhance regulatory compliance, and improve operational efficiency. By combining advanced data processing, real-time analytics, and seamless integrations, the solution provided a scalable approach to emissions management in the oil and gas sector.
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