Utilizing your GE Vernova Asset Performance Management (APM) for Emissions Monitoring

Energy organizations could be getting more out of their cloud software. GE Vernova’s Asset Performance Managment (APM) software is built on a microservices-based architecture that can make integration of other software systems (IT/OT/ET) easier than on-premises. What’s more, this architecture can help scale APM to use cases such as emissions management. This extension of APM capabilities is a continued ask from the market and our customers. Enabling a more interoperable approach to asset performance and emissions reduction is a strong focus for the future of GE Vernova’s software offerings.

Today, organizations can take advantage of SaaS architecture to:

Now, let’s take a look at the value of scaling an APM tenant to include an emissions management use case leveraging GE Vernova’s CERiusTM Emissions Management Software.

Before we get too deep into the data elements to include emissions management, it’s important to understand the general value of leveraging a SaaS instance for more use cases.

Improving asset performance and emissions management can provide bi-directional value, delivering better visibility into an enterprise level of scope 1, 2, and 3 emissions. This enables various users across organizations to accomplish diverse tasks using a more accurate dataset:

Let’s discuss.

APM is designed to use near real-time data, sensors, and predictive analytics to detect anomalies and deviations from normal operating conditions in assets. By identifying early signs of inefficiencies or malfunctions, APM helps teams address issues before they escalate, helping prevent breakdowns that can be emissions-intensive. Within APM, users can use features such as Digital Twin comparison to support assets are operating within expected thresholds. This detection also helps maintenance teams optimize performance, which can impact fuel consumption and output.

One of the primary goals of APM is to enable maintenance interventions based on the actual condition of assets rather than pre-set schedules. By shifting to a preventative or predictive model, asset anomalies can be mitigated far in advance, again impacting overall performance. You can also avoid expending resources on unnecessary maintenance.

APM is designed to help optimize the efficiency of assets. Efficiently operating assets consume fewer resources, such as energy and raw materials, to achieve the same output. This can translate to reduced emissions associated with resource consumption and energy use. Using an APM that is engineered with industry expertise, organizations can deploy strategies that are developed to help get the most out of each asset. This enables the digitalization of associated work and helps organizations improve efficiency.

Unexpected process upsets and equipment failures can lead to emissions spikes. APM's near real-time monitoring and predictive capabilities help identify factors that could lead to upsets, enabling operators to take preventive actions and maintain stable operations. Imagine if you knew an asset would require maintenance weeks in advance and could align current maintenance strategies to include that asset. Rather than waiting for the asset to fail and re-dispatching maintenance teams, the work can be done in the same process. This saves you and your employees time and resources, as well as potential travel and other elements that add to emissions output.

APM helps identify opportunities for reducing energy consumption by monitoring asset performance and identifying areas where energy efficiency can be improved. One area that APM can help reduce consumption is by monitoring the heat rate of gas turbines for power generators. Using asset reliability software in conjunction with performance monitoring can help power generators improve maintenance schedules to reduce heat rate and fuel consumption.

APM is designed to provide decision-makers with insights into asset performance, health, and efficiency. This enables more informed decisions about equipment upgrades and operational changes that can impact emissions. APM can also consolidate data from across applications in a single pane of glass to achieve a common goal. In the case of emissions, relevant data can be aggregated from across systems and used to generate insights to achieve decarbonization goals.

APM involves continuous monitoring, analysis, and improvement of asset performance. By continually improving operations, APM can align how assets are operated, maintained, commissioned, and decommissioned — leading to more efficient, scalable operations.

Autonomous Inspection is a computer-vision-based application that uses fixed cameras or robotics to ingest and analyze image data, thermography, gauge readings, or even leak detection to translate into time series data within APM. Autonomous Inspection expands the reach of APM and can help monitor potential leaks, increased temperatures, or other use cases that can impact an organization’s overall emissions profile. At the same time, it decreases the need for employees to travel to remote or potentially harmful sites.

GE Vernova’s CERius™ is an emissions management solution engineered to help measure, manage, and operationalize your decarbonization strategy using the power of AI-validated emissions data. As the carbon accounting system of record, CERius provides energy and heavy industrial companies the ability to measure the impact of their current decarbonization programs and unlock meaningful investment strategies.

CERius helps achieve an efficient approach to emissions management through data automation, deeper visibility, and precision into carbon intensity — freeing valuable resources to channel efforts into effective decarbonization strategies. The near real-time insights and reporting capabilities empower companies to make impactful, data-driven decisions to help achieve their lower-carbon commitment goals and help meet regulatory and auditing requirements.

Scope 1, 2, and 3 emissions data is automatically aggregated across various sources to deliver near real-time data synchronization and help minimize the risks associated with manual data entry. Automation not only helps improve efficiency, but aims to help meet the data accuracy and validity requirements for stakeholder reporting.

CERius supports a proactive emissions management approach with visibility into emissions levels across assets and operations. With its near real-time monitoring and alerts capabilities, teams can detect issues early and make informed adjustments before they escalate impacting emissions targets. Automated alerts notify sustainability teams of data discrepancies or potential regulatory risks. This provides them time to deliver corrective action and reduce the likelihood of audit failures.

Pre-configured and self-service reports can help align key stakeholders on decarbonization strategy and verified data to make informed decisions to reach emissions targets. Furthermore, with a constantly evolving regulatory landscape, the software is designed to support multiple reporting standards including GHGRP, CSRD, EU ETS, CDP, and TCFD using pre-built report templates.

Forecast and strategize on future sustainability investments and planning using predictive analytics. Whether its equipment upgrades to operational changes, CERius allow organizations to model different emissions reduction strategies and identify cost-effective reduction levers. Through advanced visualization and measurement capabilities, teams can use data insights to map a net-zero path and track emissions reduction projects.

Today, an integrated data pipeline from APM to CERius allows organizations to compare asset operating parameters in APM to the emissions performance in CERius. This asset-to-enterprise visibility helps ensure critical assets are keeping pace with market demands, while also progressing towards emissions reduction commitments.

CERius and APM connectivity provides data insights and user access from the boardroom to the operating floor. Based on user roles and scalable credentials, users have access to emissions management data via APM. This is important for leadership to align with each site to monitor and manage emissions targets.

with APM’s advanced visualization dashboards, users can effectively contextualize data from CERius alongside APM KPIs. This unified view provides a lens of cost-effectiveness of maintenance programs and the emissions being generated.

GE Vernova is working to empower energy and heavy industrial enterprises with technology that helps optimize asset performance and accelerate decarbonization.

With an open, microservices-based APM, organizations can efficiently scale predictive maintenance and reliability initiatives across their fleet, helping to reduce unplanned downtime, emissions, and operational costs.

On top of this, GE Vernova’s CERius solution provides advanced emissions tracking and analytics, enabling organizations to meet regulatory requirements and drive sustainability goals with a clear picture of their progress.

Together, these innovations offer a digital foundation that helps energy companies improve operational efficiency while advancing their carbon reduction strategies.

And, as the energy transition accelerates, GE Vernova remains committed to delivering scalable, AI-powered solutions that bridge the gap between reliability and sustainability — ensuring that businesses can thrive in a low-carbon future.