Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AspenTech Grid Apps represents a comprehensive suite of solutions designed for the proactive management of distribution networks, enhancing the visibility of system conditions through data crowd-sourcing, facilitating connections to Distributed Energy Resources (DER), and improving response times during outages. The suite encompasses several key applications: AspenTech Grid Reporter, which delivers real-time updates on network outages, faults, and damages, along with notifications regarding restoration times, crew whereabouts, and emergency contacts; AspenTech DER Connect, which simplifies self-service registration and connection requests for DER, while providing automated analysis of electrical networks and costs through a centralized database; AspenTech Network Maps, which illustrates geographical insights into network load demands and generation capabilities; and AspenTech Resilience Portal, which supplies real-time data on available resources, assistance, and assets in the event of significant outages. Collectively, these applications aim to enhance the operational efficiency and reliability of distribution grids, ultimately benefiting both utility operators and consumers alike.
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
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
AspenTech
Country
United States
Website
www.aspentech.com/en/products/dgm/aspentech-grid-apps
Vendor Details
Company Name
PiControl Solutions
Country
United States
Website
www.picontrolsolutions.com/products/columbo/