AspenTech

Helps refiners improve margins, respond faster to market shifts, and optimize blend quality through automated scheduling and optimization.

Accelerates upstream decisions and project analysis, reduces subsurface modeling time, and enables collaboration across disciplines.

Optimizes engineering design and operations to reduce costs, improve safety and performance, advance sustainability, and accelerate time-to-market.

Predict equipment problems earlier, plan maintenance more effectively, and improve asset reliability while reducing downtime and maintenance costs.

Unifies and contextualizes industrial data to improve enterprise visibility, simplify access to operational information, and support informed decisions.

Helps operators maintain reliable power and optimize energy costs and emissions by forecasting, scheduling, and coordinating generation, storage, and load.

Helps refining and olefins producers improve margins and energy efficiency while reducing specific emissions.

Helps refining and olefins teams reduce greenhouse gas emissions, report transparently, and use consistent data and models for sustainability decisions.

Predicts equipment downtime, reduces annual maintenance costs, and increases throughput.

Helps customers scale low-risk CCUS projects with lower costs, shorter project timelines, and faster permitting.

Improves clean hydrogen project economics by accelerating technology development, supporting lifecycle investment decisions, and reducing project risks.

Helps customers model chemical processes and improve performance, product quality, and time-to-market across design and operations.

Optimizes supply chains to improve profitability and resiliency, reduce inventory and emissions, increase throughput, and lower costs.

Helps industrial operations improve throughput and yield while reducing energy consumption.

Turns operational data into greater plant visibility, efficiency, and productivity through real-time asset analysis and monitoring.

Improves pipeline operations while supporting safe, compliant service and helping mitigate hazardous actions.

Helps utilities make faster, informed decisions while improving grid resilience, power reliability, renewable integration, and operational efficiency.

Reduces review effort and deviations while supporting consistent pharmaceutical manufacturing and regulated data integrity.

Helps pharmaceutical manufacturers monitor quality, reduce process variability, support real-time release testing, and lower costs associated with failed batches.

Helps polymer producers model polymerization, accelerate research and product development, and make informed project decisions.

Helps teams evaluate process designs and optimize plants, pipelines, and compression stations through simulation and digital twin models.

Helps organizations anticipate equipment failures, reduce unplanned downtime and maintenance costs, and improve asset availability and throughput.

Simplifies machine learning use in process engineering and supports production decisions amid variable feedstock and shifting process conditions.

Helps manufacturers improve throughput, fulfill orders on time, and respond faster to time-sensitive supply chain opportunities.

Quantifies risk through reliability modeling to help process industry teams make decisions with greater confidence.

Supports early plant design and project planning, including layout, piping design, cost estimation, and construction planning.

Helps operations engineers manage utilities, minimize energy use, track consumption, and support emissions reduction and efficient operations.

Helps energy and petrochemicals businesses optimize planning and improve margins.

Lets users explore industrial workflows and test AI-assisted recommendations to assess how industrial AI can fit their business.

Aspen Unified Scheduling

Aspen Unified Scheduling helps refiners turn optimal plans into real schedules quickly. It combines crude schedule optimization and multi-blend optimization in one platform, automates manual workflows, supports faster responses to market volatility, and optimizes blend quality in real time.

• Improve Refinery Margins
  Crude schedule optimization helps refiners improve margins by optimizing crude schedules.
• Optimize Blend Quality In Real Time
  Real-time blend quality optimization helps refiners optimize blending decisions as conditions change.
• Automate Manual Workflows
  Automating manual scheduling and blending workflows helps refiners reduce reliance on manual processes.
• Turn Plans Into Schedules Faster
  The platform helps refiners quickly convert optimal plans into real schedules.
• Respond Faster To Market Shifts
  Supports quicker responses to market volatility so refiners can adapt scheduling and blending decisions as conditions change.

AspenTech Subsurface Intelligence

AspenTech Subsurface Intelligence is an AI-powered, cloud-native environment for subsurface science and engineering. It brings multidisciplinary teams together, automates workflows, and accelerates upstream decision-making. AspenTech reports reducing modeling time from days to hours and delivering 50–90% faster project analysis.

• Accelerate Subsurface Analysis
  Apply AI-powered capabilities to subsurface work to support faster upstream decisions and project analysis.
• Accelerate Project Analysis
  Speed up subsurface project analysis by 50–90%, as stated by AspenTech.
• Unite Subsurface Teams
  Bring multidisciplinary teams together in a shared cloud-native environment for subsurface work.
• Automate Subsurface Workflows
  Automate subsurface workflows to reduce modeling time from days to hours, according to AspenTech.

Performance Engineering

AspenTech Performance Engineering brings together process simulation, capital project delivery, concurrent engineering, and digital twin technology to support design and operations across the engineering lifecycle. It helps organizations reduce capital and operating costs, advance sustainability goals, improve performance and process safety, and accelerate time-to-market.

• Optimize Design And Operations
  Support optimal design and operations throughout the engineering lifecycle.
• Simulate Process Designs
  Use process simulation as part of engineering work across the lifecycle.
• Apply Digital Twin Technology
  Use digital twin technology as part of design and operations across the engineering lifecycle.
• Reduce Capital And Operating Costs
  Help reduce CAPEX and OPEX across engineering lifecycle activities.
• Improve Performance
  Improve performance through optimal design and operations across the engineering lifecycle.
• Improve Process Safety
  Support process safety improvement as part of engineering lifecycle design and operations.
• Deliver Capital Projects
  Support capital project delivery as part of engineering lifecycle activities.
• Advance Sustainability Goals
  Make progress toward sustainability goals through engineering lifecycle design and operations.
• Accelerate Time To Market
  Help improve time-to-market through engineering lifecycle design and operations.
• Maximize Profitability
  Help maximize profitability through performance engineering capabilities.
• Coordinate Engineering Work
  Apply concurrent engineering across the engineering lifecycle.
• Accelerate Innovation
  Advance innovation through continued development in process simulation, capital project delivery, and digital twin technology.

Asset Performance Management

AspenTech Asset Performance Management uses AI, machine learning, and statistical analysis to monitor assets, detect degradation, and predict equipment failures. It supports real-time monitoring and actionable insights, with asset templates that can be rapidly deployed across the enterprise. Predictions can provide weeks or months of advance notice, helping teams plan maintenance and route insights into maintenance systems to improve asset reliability and reduce unplanned downtime.

• Predict Failures Weeks Or Months Ahead
  Identify potential equipment failures and degradation in advance, giving teams time to respond before problems lead to unplanned downtime.
• Act On Actionable Failure Insights
  Gives reliability and maintenance teams actionable insights about predicted failures, supporting a proactive response to asset problems.
• Scale Asset Templates Across The Enterprise
  Deploy asset templates rapidly across the enterprise to extend asset performance management capabilities to more assets and operations.
• Monitor Assets In Real Time
  Track asset condition in real time and surface early warnings that help teams recognize potential equipment problems sooner.
• Route Insights Into Maintenance Systems
  Send asset insights into maintenance systems to connect predicted equipment issues with the systems teams use to manage maintenance.
• Plan Maintenance Before Failures Occur
  Use advance notice of potential failures to coordinate maintenance and plan downtime, helping avoid last-minute responses to unexpected breakdowns.
• Improve Asset Availability And Uptime
  Anticipate equipment problems and act before they cause disruption, helping keep assets available and production running.
• Reduce Preventive And Corrective Maintenance
  Use predictive insights to help minimize preventive and corrective maintenance and lower maintenance costs.

AspenTech Inmation

AspenTech Inmation is an industrial data fabric platform for integrating, collecting, aggregating, storing, and retrieving operational data. It contextualizes data for systems, applications, and users, and supports industrial data accessibility and decision-making. The platform connects existing OT and IT data sources and users, with centralized security, data governance, and access control. It also supports OT data security, redundancy, and regulatory compliance, and can provide real-time operational data to custom business applications.

• Unify Large Volumes Of Industrial Data
  Collect, aggregate, store, and retrieve large volumes of data to help address fragmented systems and improve access to operational information.
• Make Data Relevant Across Systems
  Contextualize data for systems, applications, or users to support broader visibility and access to operational information.
• Govern Access To Industrial Data
  Centralize security, data governance, and access control to support managed access to industrial data.
• Connect Existing OT And IT Sources
  Connect existing OT and IT data sources and users to support industrial data accessibility and enterprise digitalization.
• Support Secure, Compliant OT Data
  Support OT data security, redundancy, and regulatory compliance as organizations improve industrial data accessibility and contextualization.
• Build Applications With Real-Time Data
  Use real-time operational data to develop custom business applications that support digital transformation initiatives.

AspenTech Microgrid Management System

AspenTech Microgrid Management System (MMS) provides energy management for on-site power systems and data center power islands. It delivers grid visibility, monitoring, forecasting, scheduling, optimization, and coordination across generation, storage, and load. MMS helps operators update operating plans as load, resource availability, storage, or grid conditions change, and supports dispatch in both grid-connected and islanded operation. Optimization can account for operating constraints, electricity costs, and emissions objectives.

• Optimize Energy Use
  Helps operators plan how to use available energy resources to meet load while accounting for operating constraints, electricity costs, and emissions objectives.
• Coordinate Power Resources
  Helps operators manage generation, storage, and load together rather than as separate assets.
• Plan Resource Use
  Helps operators create and update operating plans based on forecasts and changing load, generation availability, storage, and grid conditions.
• Manage Connected Or Islanded Power
  Helps operators manage on-site power resources in grid-connected and islanded operating modes.
• Dispatch Available Resources
  Enables operators to dispatch resources according to the operating plan and current system conditions.
• Monitor Power System Conditions
  Gives operators current information about system conditions and resource availability, with visualization, trending, and alarms to support operational monitoring.
• Monitor Generation Reserves
  Helps operators assess available generation reserves and coordinate resources to support reliable power delivery.
• Strengthen Cybersecurity
  Supports cybersecurity objectives for on-site generation and storage management.

Improve Production Performance for Refining and Olefins

A solution for refining and olefins operations focused on production performance, sustainability, and agility. It is presented as next-generation technology that can improve margins, reduce specific emissions, and improve energy efficiency.

• Improve Refining And Ethylene Margins
  The solution can improve margins by $1–5 per barrel of crude or $20–40 per ton of ethylene.
• Reduce Specific Emissions
  The solution can reduce specific emissions by up to 10%.
• Improve Energy Efficiency
  The solution can improve energy efficiency by 5–25%.

Emissions Management for Refining and Olefins

A solution for refining and olefins organizations that provides consistent emissions data and models to support emissions reduction, transparent financial and regulatory reporting, and sustainability decisions. AspenTech states that it can help reduce greenhouse gas emissions by up to 25%.

• Reduce Greenhouse Gas Emissions
  The solution supports emissions reduction and is stated to reduce greenhouse gas emissions by up to 25%.
• Use Consistent Sustainability Models
  Enables teams to use the same models and information across sustainability decisions.
• Report Emissions Transparently
  Supports transparent emissions reporting for financial and regulatory purposes.

Best in Class Reliability

Best in Class Reliability helps organizations predict and minimize the impact of equipment downtime. It supports reliability and maintenance teams, with the potential to reduce annual maintenance costs by 20–30% and increase throughput by 1–5%.

• Minimize Equipment Downtime
  Predict equipment downtime and minimize its impact on operations.
• Reduce Annual Maintenance Costs
  Reduce annual maintenance costs by 20–30%, according to the solution’s stated performance outcomes.
• Increase Throughput
  Increase throughput by 1–5%, according to the solution’s stated performance outcomes.
• Empower Reliability Teams
  Support reliability and maintenance teams in their work to manage equipment downtime.

Accelerate Innovation for CCUS

A solution to address challenges in scaling low-risk carbon capture, utilization, and storage (CCUS) projects. It supports reductions of 5–20% in capital expenditure and 15–30% in operating expenditure, shortens project time by 20%, and supports permit applications while helping cut permitting time by 50%.

• Reduce Project Capital Costs
  Helps lower CCUS project capital expenditure by 5–20%.
• Lower Project Operating Costs
  Helps reduce operating expenditure for CCUS projects by 15–30%.
• Shorten Project Timelines
  Helps customers complete CCUS projects in less time, with project time shortened by 20%.
• Cut Permitting Time
  Helps reduce the time required for permitting by 50%.
• Support Permit Applications
  Provides support for permit applications as customers advance CCUS projects.

Accelerate Innovation for Hydrogen

A solution to improve the economics of clean hydrogen projects. It helps organizations develop new technologies faster by reducing costs and time-to-market, evaluate lifecycle risks and costs to support investment and financial decisions, and reduce project risks by optimizing designs and accelerating delivery and execution.

• Inform Lifecycle Investment Decisions
  Assess risks and costs across the lifecycle to support and justify investment and financial decisions.
• Optimize Project Designs
  Optimize designs to reduce risks in clean hydrogen projects.
• Accelerate Technology Development
  Develop new technologies faster to help move clean hydrogen projects forward.
• Accelerate Project Delivery
  Move projects through delivery and execution faster.
• Reduce Development Costs
  Lower technology development costs to improve the economics of clean hydrogen projects.
• Shorten Time To Market
  Bring new technologies to market faster by reducing time-to-market.

Aspen Plus

Aspen Plus is process simulation software for rigorously modeling a wide range of chemical processes. It supports design and operations, helping users improve performance, product quality, and time-to-market while advancing net-zero goals. It also provides batch modeling technology for process improvement.

• Model A Wide Range Of Chemical Processes
  Rigorously modeling a wide range of chemical processes supports process design and operational work.
• Improve Process Performance
  Supports performance improvement across design and operations.
• Improve Batch Processes
  Batch modeling technology supports process improvement.
• Improve Product Quality
  Supports improvements in quality across design and operations.
• Accelerate Time To Market
  Supports time-to-market improvements across design and operations.
• Advance Net-Zero Goals
  Supports efforts to advance net-zero goals.

AspenOne Supply Chain Management

AspenOne Supply Chain Management is a comprehensive planning and scheduling solution designed to optimize supply chain networks, improve profitability, and support supply chain resiliency while meeting sustainability targets. It helps reduce inventory and emissions across manufacturing assets and uses optimal scheduling to increase throughput by 20% and reduce costs.

• Maximize Supply Chain Profitability
  Optimize the supply chain network to support profitability and build a more resilient supply chain.
• Schedule Production Optimally
  Apply optimal scheduling to help increase throughput and reduce costs.
• Reduce Inventory Across Manufacturing Assets
  Reduce inventory across manufacturing assets while pursuing supply chain resiliency and sustainability targets.
• Reduce Emissions Across Manufacturing Assets
  Reduce emissions across manufacturing assets while working toward supply chain sustainability targets.
• Increase Throughput By 20%
  Increase throughput by 20% through optimal scheduling.
• Reduce Costs With Optimal Scheduling
  Reduce costs by using optimal scheduling across the supply chain.

Aspen DMC3

Aspen DMC3 is an advanced process control solution for improving operational performance and sustainability. AspenTech highlights potential improvements of 2–5% in throughput, up to 5% in yield, and a 10% reduction in energy consumption.

• Improve Throughput By 2–5%
  The solution is associated with a potential throughput improvement of 2–5%, helping operations produce more through existing processes.
• Increase Yield By Up To 5%
  The solution is associated with a potential yield increase of up to 5%, supporting greater production output from process inputs.
• Reduce Energy Consumption By 10%
  The solution is associated with a 10% reduction in energy consumption, supporting improved operational performance and sustainability.

Aspen InfoPlus.21

Aspen InfoPlus.21 is an industrial historian for storing and using operational data. It helps organizations unlock operational data value, increase efficiency and productivity, improve visibility into plant operations, and analyze and monitor assets in real time.

• Unlock Operational Data Value
  Store and use operational data to make its value available for improving plant operations.
• Improve Plant Performance Visibility
  Increase visibility into plant operations to support improvements in efficiency and productivity.
• Monitor Assets In Real Time
  Analyze and monitor assets in real time to support plant performance improvements.
• Improve Product Quality By Up To 30%
  Supports product quality improvement, with the product page citing improvement of up to 30%.

AspenTech OSI Continua Pipeline Management

AspenTech OSI Continua Pipeline Management supports safe and compliant complex fluid pipeline operations. It provides proven, stable technology for monitoring, controlling, and optimizing natural gas pipelines and storage, and helps safeguard operations by proactively mitigating hazardous actions.

• Monitor Pipelines And Storage
  Monitor natural gas pipelines and storage as part of pipeline management operations.
• Control Pipelines And Storage
  Control natural gas pipelines and storage through the pipeline management system.
• Mitigate Hazardous Actions
  Proactively mitigate hazardous actions to help safeguard pipeline operations.
• Optimize Pipeline Operations
  Optimize natural gas pipelines and storage to improve complex fluid pipeline operations.
• Support Safe, Compliant Services
  Support safe and compliant pipeline services while improving complex fluid pipeline operations.
• Use Proven, Stable Technology
  Rely on technology described as proven and stable for more than 30 years.

Digital Grid Management

AspenTech Digital Grid Management is a suite of software capabilities for utility networks. It optimizes grid control in real time using AI and data insights, supports automation from the control room to the field, and helps utilities improve resilience and power reliability. Its capabilities include integrating distributed renewables and storage, scaling as service requirements change, and protecting critical systems with advanced cybersecurity. AspenTech OSI monarch is described as an integrated platform at the core of utility operations, with DERMS, ADMS, OMS, and other capabilities extending across the network.

• Strengthen Grid Resilience And Reliability
  Help protect utility networks against disruptions and optimize power reliability while planning and managing resource security.
• Make Faster, Informed Grid Decisions
  Use real-time control, AI, and data insights to support faster, informed decisions in complex utility grid operations.
• Integrate Renewables And Storage Resources
  Integrate distributed renewable energy and storage resources into utility networks and support deployment and management of renewable capacity.
• Unify Core Utility Operations
  Use an integrated operational platform at the core of utility operations, with DERMS, ADMS, OMS, and other capabilities extending across the network.
• Automate Control Room-To-Field Operations
  Extend automation across control room and field operations to support efficient utility grid management.
• Orchestrate Supply With Flexible Loads
  Coordinate network supply and flexible load management as utilities adapt operations and integrate clean energy.
• Protect Critical Utility Systems
  Use advanced cybersecurity capabilities to help protect critical utility systems.
• Scale Capabilities As Services Change
  Expand and scale utility operations and IT capabilities to accommodate changing service requirements.
• Improve Grid Operations And Asset Availability
  Drive usability and efficiency across grid operations and optimize asset availability with advanced technologies such as AI.
• Manage Compliance And Improve Safety
  Help manage regulatory compliance and improve safety for utility employees and consumers.

Manufacturing Execution Systems for Pharma

AspenTech’s Manufacturing Execution Systems for Pharma support efficient and consistent pharmaceutical manufacturing. The solution helps reduce cross-checking hours and batch review deviations, while supporting data integrity in accordance with FDA 21 CFR Part 11 and EU Annex 11.

• Support Regulated Data Integrity
  Support pharmaceutical manufacturing data integrity requirements under FDA 21 CFR Part 11 and EU Annex 11.
• Reduce Cross-Checking Hours
  Reduce cross-checking hours by 52%, streamlining review work in pharmaceutical manufacturing.
• Decrease Batch Review Deviations
  Decrease batch review deviations by 14% to support more consistent pharmaceutical manufacturing processes.
• Support Consistent Manufacturing
  Support efficient and consistent manufacturing processes in pharmaceutical production.

Aspen Process Pulse

Aspen Process Pulse monitors and predicts product and process quality in pharmaceutical manufacturing. It helps minimize process variability and enable real-time release testing. AspenTech states that avoiding failed batches can save up to $500,000 per batch and that the solution can reduce cost of goods sold by 25%.

• Monitor Product And Process Quality
  Provides monitoring of product and process quality, helping pharmaceutical manufacturers keep quality in view during production.
• Avoid Failed Batch Costs
  AspenTech states that each failed batch avoided can save up to $500,000.
• Minimize Process Variability
  Helps reduce process variability, supporting consistent manufacturing and product quality.
• Enable Real-Time Release Testing
  Supports real-time release testing by providing monitoring and prediction of product and process quality.
• Reduce Cost Of Goods Sold
  Can reduce cost of goods sold by 25%, according to AspenTech.

Aspen Polymers

Aspen Polymers is polymer modeling software used to create custom polymerization models. In a Daicel project addressing the development of polymers with a narrow molecular weight distribution, the model helped reduce the research period from 22 days to 3 days, streamline product development, and provide insights for key decisions.

• Build Tailored Polymerization Models
  Create a custom polymerization model for a specific polymer development challenge.
• Accelerate Polymer Research
  Shorten the research period; Daicel reduced its project period from 22 days to 3 days.
• Streamline Product Development
  Support a more streamlined polymer product development process.
• Inform Key Project Decisions
  Provide insights to support key decision-making during polymer development projects.

Aspen HYSYS

Aspen HYSYS supports process simulation and digital twin modeling for energy and process operations. It has been used to assess the feasibility of refinery reconfiguration plans by developing digital twins of multiple plant units, and to model processing plants, pipelines, and compression stations for optimization. The product is also used to simulate gas processing plant design and operations, and includes Sulsim sulfur recovery functionality.

• Model Plant Operations
  Develop digital twin models of plant units and facilities to support analysis and optimization of energy and process operations.
• Assess Refinery Configurations
  Evaluate refinery reconfiguration plans using plant digital twins to support decisions about changes to refinery operations.
• Optimize Processing Facilities
  Use an integrated digital twin model to optimize processing plants, pipelines, and compression stations.
• Simulate Gas Processing
  Accurately simulate gas processing plant design and operations to help teams evaluate ways to improve plant operations.
• Model Sulfur Recovery
  Use the incorporated Sulsim sulfur recovery technology and its functionality within Aspen HYSYS.

Aspen Mtell

Aspen Mtell is a prescriptive maintenance solution that uses Agents to recognize asset failures earlier and with greater accuracy. It provides actionable, real-time insights and can identify potential failures weeks or months in advance. Pre-populated asset templates help organizations scale and deploy prescriptive maintenance solutions. Customer examples describe improved asset availability and throughput, lower maintenance costs, and advance warning that can help avoid operational shutdowns.

• Predict Failures Weeks Or Months In Advance
  Receive advance notice of predicted equipment failures, sometimes weeks or months before they occur. The warning can give teams time to change operating conditions and help avoid unplanned downtime or operational shutdowns.
• Recognize Asset Failures Earlier And More Accurately
  Use Agents to recognize asset failures earlier and with greater accuracy, helping teams identify potential problems before they disrupt operations.
• Monitor Assets And Deliver Actionable Insights
  Monitor equipment and provide actionable, real-time insights to help operations teams respond to predicted problems. Website content describes monitoring haul fleets, excavators, and other heavy mobile equipment.
• Scale Prescriptive Maintenance With Asset Templates
  Use pre-populated templates to set up sensor groups and scale and deploy prescriptive maintenance solutions more quickly.
• Improve Asset Availability And Throughput
  Support improved asset availability and throughput while reducing maintenance costs, as described in Aspen Mtell customer examples.

Aspen Hybrid Models

Aspen Hybrid Models simplifies the use of machine learning in process engineering. It supports production decisions when feedstock varies and process conditions shift. In a DuPont case study, AI-driven Aspen Hybrid Models improved polymer quality by 10%.

• Simplify Machine Learning Use
  Make machine learning easier to use in process engineering.
• Support Production Decisions
  Help process engineers make production decisions when feedstock varies and process conditions shift.
• Improve Polymer Quality
  In a DuPont case study, AI-driven Aspen Hybrid Models improved polymer quality by 10%.

Aspen Plant Scheduler

Aspen Plant Scheduler supports production scheduling for polymer manufacturers. It can improve throughput, reduce the number of production transitions, and help achieve high on-time order fulfillment rates. Westlake Chemical used it to assess a time-sensitive supply chain opportunity, such as accepting a modified customer order, in minutes rather than the four hours previously required.

• Improve Throughput
  The product supports scheduling that can improve throughput for polymer manufacturers.
• Reduce Production Transitions
  Reducing production transitions can help polymer manufacturers improve throughput while maintaining high on-time order fulfillment rates.
• Fulfill Orders On Time
  The product supports production schedules designed to achieve high rates of on-time order fulfillment.
• Assess Opportunities Faster
  Users can assess time-sensitive supply chain opportunities, such as a modified customer order, in minutes rather than four hours, according to the Westlake Chemical case study.

Aspen Fidelis Reliability

Aspen Fidelis Reliability provides reliability modeling for process industries, helping users quantify risk and eliminate guesswork.

• Quantify Operational Risk
  Reliability modeling quantifies risk so users can assess operations with less guesswork.

Aspen OptiPlant 3D Layout

Aspen OptiPlant 3D Layout supports early plant design, equipment layout, piping design, cost estimation, and construction planning.

• Optimize Early Plant Design
  Supports early plant design workflows, helping teams optimize plant design at an early project stage.
• Plan Plant And Equipment Layout
  Supports plant and equipment layout as part of early plant design.
• Support Piping Design
  Supports piping design workflows within early plant design.
• Support Cost Estimation
  Supports cost estimation as part of early plant design and project planning.
• Support Construction Planning
  Supports construction planning as part of early plant design and project planning.

Aspen Utilities Planner

Aspen Utilities Planner supports utilities management by helping operations engineers track consumption patterns and develop strategies to minimize energy use. In a SABIC case study, its use also helped reduce greenhouse gas emissions while improving operating efficiency.

• Minimize Energy Use
  Helps operations engineers develop utilities management strategies aimed at minimizing energy use.
• Track Utility Consumption
  Enables operations engineers to follow utility consumption patterns as part of utilities management.
• Develop Utilities Strategies
  Supports developing a utilities management strategy to help guide operations.
• Reduce Greenhouse Gas Emissions
  In the SABIC case study, use of Aspen Utilities Planner supported efforts to reduce greenhouse gas emissions.
• Improve Operating Efficiency
  The SABIC case study reports greater operating efficiency while using Aspen Utilities Planner to manage utilities and minimize energy use.

Aspen PIMS-AO

Aspen PIMS-AO is referenced in a Shell case study about planning and margin optimization. Shell’s Manufacturing Margin Optimization team uses AspenTech solutions, including planning and scheduling applications, to optimize its energy and petrochemicals business. The case study describes Aspen PIMS-AO in the cloud.

• Improve Business Margins
  The Shell case study associates Aspen PIMS-AO with improved margins as Shell optimizes its energy and petrochemicals business.
• Optimize Planning And Scheduling
  Supports planning and scheduling as part of the effort to optimize energy and petrochemicals business operations.
• Deploy In The Cloud
  The Shell case study identifies a cloud deployment of Aspen PIMS-AO.

Aspen Unscrambler

Aspen Unscrambler is referenced alongside Aspen Process Pulse in a GSK case study about avoiding batch loss in pharmaceutical manufacturing. The available content does not describe its specific capabilities.

AVA

AVA is AspenTech’s industrial AI offering. It lets users explore real industrial workflows, test AI-assisted recommendations, and see how the technology fits their business. AspenTech presents AVA as industrial AI that understands your operations.

• Apply AI That Understands Your Operations
  AVA is positioned around industrial AI designed to understand the operations it is applied to.
• Explore Real Industrial Workflows
  Explore real workflows to assess how AVA may fit your business.
• Test AI-Assisted Recommendations
  Test AI-assisted recommendations to evaluate them in the context of real industrial workflows.