AspenTech Technologies, Inc. (NASDAQ: AZPN), a global leader in industrial software, announced the launch of an upgraded version of its aspenONE® software with new performance and sustainability capabilities. Aspen Technologies’ portfolio of aspenONE® asset optimization solutions covers the full life cycle of asset design, operation and maintenance to help customers accelerate their digital strategies and achieve high levels of operational excellence. These new capabilities will enable customers to drive new net-zero initiatives, provide engineers with enhanced industrial-grade AI capabilities, improve asset health and performance, and enable customers to implement integrated enterprise data management systems.

Rasha Hasaneen, Chief Product and Sustainability Officer at Aspen, said: “Aspen is committed to working with customers to innovate and develop solutions to close the gap between currently available technologies and those needed to achieve net zero emissions. Optimizing efficiency and sustainability across operations is critical, and these new features will make it easier for customers to meet this challenge.”

The new and upgraded aspenONE software enables customers to develop and implement reliable, impactful sustainability solutions faster. This update enables customers to extract insights from operational data across the enterprise, reducing costs and increasing efficiency. The highlight of this upgrade is the artificial intelligence embedded in more models and full access to operational technology (OT) data through multi-faceted integration.

Sustainability models embedded in industrial-grade AI

As customers move towards net zero, ensuring the accuracy of their sustainability solutions and their ability to solve complex problems is critical. Aspen’s modeling capabilities address both challenges with new and expanded upgrades, including:

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The Aspen Model Library currently has more than 140 sustainability sample models to accelerate the time to market of new processes and technologies. These models, embedded with industrial-grade AI, help users overcome obstacles in implementing sustainability projects and improve economic efficiency and return on investment.
New high-fidelity models improve the accuracy of hydrogen and carbon capture models, from design to operation, and can be recalibrated to changing process conditions.
An out-of-the-box electrolyser model ensures safe operation of critical equipment in the Green Hydrogen project.

Integrated enterprise data management

A comprehensive data management strategy is the foundation for successful digital transformation. Customers need flexible and scalable solutions to access and analyze the vast amounts of data being generated across their organization. To this end, the upgraded aspenONE enables customers to centrally aggregate and manage enterprise OT data, including:
AspenTech Inmation™ centralized data management system now seamlessly connects with Aspen InfoPlus.21® historical database and aspenONE Process Explorer™ (A1PE) data visualization solution, This makes it easier for customers to identify optimization opportunities, remove bottlenecks, and address production challenges across the organization.
Aspen’s Aspen Mtell® asset performance management solution is integrated with AspenTech Operational Insights™ to provide a configurable control panel to inform strategy, optimize resource allocation and improve performance.
In addition, AspenTech Inmation™ for Aspen Mtell® provides native connectivity between data and predictive maintenance applications, enabling rapid integration of predictive maintenance applications with multiple high-volume data sources to enhance asset performance management and drive customers’ high-reliability initiatives.

Peter Reynolds, Principal Analyst at ARC Advisory Group, said: “Aspen’s newly upgraded aspenONE is an example of breakthrough innovation, with several AI-powered software enhancements designed to help industrial customers achieve operational excellence. Customers can now use AspenTech’s reconciliation and accounting software to accurately and consistently track plant-wide greenhouse gas emissions, thereby reducing carbon intensity. In addition, customers will be able to take advantage of this version’s capabilities to more easily advance their sustainability initiatives through sample models such as carbon capture, hydrogen, and battery recycling.”