Development and application of linear ventilation and temperature models for indoor environmental prediction and HVAC systems control

A review of optimization approaches for controlling water-cooled central cooling systems

Development of a personalized thermal comfort driven controller for HVAC systems

This paper introduces Insect Intelligent Building (I2B), a new architecture of building control systems based on Internet of Things (IoT). It has the following key features that are missing in the traditional solutions: (1) it has built-in agent models for space units and control devices; (2) it has built-in link models for immediate connections between space units and control devices; (3) it assigns a smart controller (called insect) for each space unit or each control device with six data ports (called legs) and these controllers communicate with each other only through their data ports according to the link models; (4) it decompose various building operation/management commands into computing tasks that run on smart controllers and depends on the collaborations among neighboring controllers to achieve the desired effects of the commands. Different from the traditional centralized solutions, this new architecture allows the building control systems to be developed in before the buildings are really built and simplify the installation and configuration of the building control systems.

Shiqiang Wang

Papers

A decentralized algorithm for optimal distribution in HVAC systems