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ease
features
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support

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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Aspen DMC3
Microsoft Excel

Integrations

Aspen DMC3
Microsoft Excel

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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/

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