Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Promote circular economy efforts while addressing global economic issues, evolving market trends, and competitive forces by enhancing performance, quality, and market readiness through leading-edge simulation software tailored for chemicals, polymers, life sciences, and innovative sustainability practices. Aspen Plus stands as the premier process simulator, drawing on more than four decades of expertise and insights from leading chemical firms, complemented by a renowned physical properties database. This software offers comprehensive process modeling that integrates economic, energy, safety, and emissions evaluations, thereby enhancing time-to-market, process efficiency, and sustainability metrics. By leveraging Aspen Plus, the efficiency of chemical operations is significantly boosted, making it a valuable tool for the bulk chemicals, specialty chemicals, and pharmaceutical sectors. This advanced modeling technology not only facilitates the optimization of throughput and product quality but also reduces energy consumption across various processes, paving the way for a more sustainable future. Ultimately, Aspen Plus empowers industries to meet the challenges of modern manufacturing while driving innovation and environmental responsibility.
Description
A closed-loop universal multivariable optimizer is designed to enhance both the performance and quality of Model Predictive Control (MPC) systems. This optimizer utilizes data from Excel files sourced from Dynamic Matrix Control (DMC) by Aspen Tech, Robust Model Predictive Control Technology (RMPCT) from Honeywell, or Predict Pro from Emerson to develop and refine accurate models for various multivariable-controller variable (MV-CV) pairs. This innovative optimization technology eliminates the need for step tests typically required by Aspen Tech and Honeywell, operating entirely within the time domain while remaining user-friendly, compact, and efficient. Given that Model Predictive Controls (MPC) can encompass tens or even hundreds of dynamic models, the possibility of incorrect models is a significant concern. The presence of inaccurate dynamic models in MPCs leads to bias, which is identified as model prediction error, manifesting as discrepancies between predicted signals and actual measurements from sensors. COLUMBO serves as a powerful tool to enhance the accuracy of Model Predictive Control (MPC) models, effectively utilizing either open-loop or fully closed-loop data to ensure optimal performance. By addressing the potential for errors in dynamic models, COLUMBO aims to significantly improve overall control system effectiveness.
API Access
Has API
No
API Access
Has API
No
Integrations
Aspen DMC3
No
Microsoft Excel
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Aspen Technology
Country
United States
Website
www.aspentech.com/en/products/engineering/aspen-plus
Vendor Details
Company Name
PiControl Solutions
Country
United States
Website
www.picontrolsolutions.com/products/columbo/
Product Features
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No