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Clearance Models: Compartment Models

Clearance Models: Compartment Models

Clearance measures drug elimination from the central compartment, including plasma and highly perfused organs like kidneys and liver. Its calculation varies depending on pharmacokinetic models and administration routes. The one-compartment model, for instance, portrays the pharmacokinetics of polar drugs such as aminoglycoside antibiotics administered intravenously and readily excreted in urine. In this case, clearance is influenced by the terminal rate constant (λz) and the total volume...

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

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Control Systems: Applications

Control Systems: Applications

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Three-Compartment Open Model

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The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...

Virtual Work for a System of Connected Rigid Bodies

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Related Experiment Video

Updated: Jun 12, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Dataset of an operating education modular building for simulation and artificial intelligence.

Pierre-Antoine Cormier¹, Quentin Laporte-Chabasse¹, Maël Guiraud²

¹CESI LINEACT, Campus CESI Orléans, 1 allée du Titane, 45100 Orléans, France.

|September 23, 2024

Summary

This study shares building energy data to aid research in energy efficiency. The dataset supports developing and testing models for reduced energy consumption and improved occupant comfort.

Keywords:

Building occupant comfort Energy consumption Indoor physical parameter Smart building Thermal comfort

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Published on: February 23, 2024

Area of Science:

Building Science
Energy Efficiency
Sustainable Architecture

Background:

Buildings significantly impact the environment, making energy efficiency crucial.
Current methods for improving building energy efficiency often require real-world data for validation.
Occupant comfort and system monitoring are key aspects of building energy management.

Purpose of the Study:

To provide a comprehensive dataset from a modular educational building.
To support research in physical modeling, artificial intelligence, and data-driven approaches for energy efficiency.
To facilitate the development of strategies for optimizing building energy consumption and occupant comfort.

Main Methods:

Deployment of over 150 sensors and actuators for comprehensive building monitoring.
Collection of a year's worth of data on indoor physical parameters.
Recording of operating conditions for all building systems.

Main Results:

A detailed dataset capturing the building's physical behavior over one year.
Data includes indoor environmental parameters and system operational status.
The dataset enables analysis of energy consumption patterns and comfort levels.

Conclusions:

The shared dataset serves as a valuable resource for the building energy research community.
Facilitates the creation and validation of advanced energy efficiency models.
Contributes to advancing sustainable practices in the building sector.