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What is Radiance?

Radiance is specifically crafted to aid lighting designers and architects in predicting the light levels and visual attributes of a space prior to its construction. This comprehensive software suite includes tools for the modeling and conversion of scene geometry, luminaire details, and material characteristics, which are all critical to the simulation process. By employing advanced ray tracing methods, the lighting simulation computes radiance values that illustrate the amount of light traveling through a particular point in a specific direction, usually displaying these results in a high-quality photographic image format. Users have the ability to review, manipulate, and analyze the generated images directly within the software, in addition to exporting them into various popular image file formats for printed outputs. A key feature of the Radiance package is its lighting simulation engine, which plays a crucial role in not only measuring light levels but also creating intricate images, thereby improving visualization and evaluation of lighting designs. This functionality is especially beneficial as it provides valuable insights that can guide design modifications prior to the commencement of construction, ultimately enhancing the overall design process. Such foresight enables designers to make informed decisions, ensuring that the final outcome aligns with their creative vision.

What is MPCPy?

MPCPy is a Python-based library specifically created to facilitate the testing and implementation of occupant-integrated model predictive control (MPC) in building systems. This innovative tool focuses on utilizing data-driven, simplified physical or statistical models to predict the performance of buildings and improve control methodologies. It consists of four key modules that offer object classes for tasks such as data importation, engagement with either real or simulated systems, estimation and validation of data-driven models, and optimization of control inputs. While MPCPy acts as a comprehensive integration platform, it relies on a variety of free, open-source third-party software for executing models, conducting simulations, implementing parameter estimation techniques, and optimizing solvers. This includes Python libraries for scripting and data manipulation, as well as specialized software solutions designed for specific functions. Importantly, the tasks involving modeling and optimization of physical systems are currently based on the requirements of the Modelica language, which significantly enhances the package's flexibility and capabilities. Overall, MPCPy empowers users to harness sophisticated modeling methods within a dynamic and cooperative environment, ultimately fostering improved building system performance. Furthermore, it opens up opportunities for researchers and practitioners alike to experiment with cutting-edge control strategies tailored to real-world scenarios.

Media

Media

Integrations Supported

Python
Rayfront
Ubuntu

Integrations Supported

Python
Rayfront
Ubuntu

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Radiance

Company Website

www.radiance-online.org

Company Facts

Organization Name

MPCPy

Company Location

United States

Company Website

github.com/lbl-srg/MPCPy

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