Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The System 800xA is more than just a Distributed Control System (DCS); it serves as an Electrical Control System, a Safety system, and a platform for collaboration, designed to enhance engineering efficiency, operator performance, and asset utilization. With its integrated electrical control capabilities, the ABB Ability System 800xA allows for comprehensive management of the entire electrical system, spanning from high-voltage switchgear to low-voltage motor control systems. Whether used in conjunction with the 800xA DCS or independently, this system is an optimal choice for managing electrical controls. By utilizing intelligent devices, users can significantly reduce the amount of hardwired cabling required for switchgear, regardless of the standard protocols in place. The digital communication's high reliability not only enhances the flow of information from devices but also allows for the elimination of additional electrical measurement instruments, thereby streamlining operations and improving overall system efficiency. Ultimately, the ABB Ability System 800xA stands out as a versatile and effective solution in modern electrical control management.
Description
MPCPy is a Python library designed to support the testing and execution of occupant-integrated model predictive control (MPC) within building systems. This tool emphasizes the application of data-driven, simplified physical or statistical models to forecast building performance and enhance control strategies. It comprises four primary modules that provide object classes for data importation, interaction with real or simulated systems, data-driven model estimation and validation, and optimization of control inputs. Although MPCPy serves as a platform for integration, it depends on various free, open-source third-party software for model execution, simulation, parameter estimation techniques, and optimization solvers. This encompasses Python libraries for scripting and data manipulation, along with more specialized software solutions tailored for distinct tasks. Notably, the modeling and optimization tasks related to physical systems are currently grounded in the specifications of the Modelica language, which enhances the flexibility and capability of the package. In essence, MPCPy enables users to leverage advanced modeling techniques through a versatile and collaborative environment.
API Access
Has API
API Access
Has API
Integrations
Python
Ubuntu
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
ABB
Country
Switzerland
Website
new.abb.com/control-systems/system-800xa
Vendor Details
Company Name
MPCPy
Country
United States
Website
github.com/lbl-srg/MPCPy