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In the construction context, integrating 5G networks presents numerous challenges. The NIST Industrial Wireless Team has published an article in the online
The increased adoption of energy technologies like smart meters, solar panels, and battery storage has led to a rise in electricity pricing plans with costs
To help reduce electricity consumption and its costs, university and NIST researchers proposed a strategy for controlling residential heating, ventilation, and
Objective - To demonstrate the feasibility of intelligent agent control techniques for reducing energy consumption in commercial buildings by optimizing the performance of interacting building systems and to create a research infrastructure suitable for ongoing development and testing of advanced
Objective - To develop the measurement science for industry standards that will enable interconnection of home and building automation and control systems with a future "smart" utility grid, provide consumers with energy usage information, and support industry efforts to develop the needed standards
Objective - To enable the development of a new generation of commercial products for integrated cybernetic building systems and transform industry practices for building operations, through a combination of measurement science research enabled by state-of-the-art testbeds and direct involvement in
Objective - To pursue an effort that results in national and international standards that define concepts and a methodology to create interoperable, machine-readable semantic models for representing building system information for analytics, automation, and control. What is the technical idea? The
Zhelun Chen, Jin Wen, Yicheng Li, L James Lo, Gabriel Grajewski, Vance (Wm.) Payne, Steven T. Bushby, Amanda Pertzborn, Zheng O'Neill, Zhiyao Yang, Caleb Calfa
With buildings contributing significantly to electricity usage, enabling demand flexibility becomes a challenge, especially when accounting for occupant comfort
In the U.S., commercial buildings are responsible for approximately 36 % of total energy consumption, and the heating, ventilation, and air-conditioning (HVAC)
We present the development of a bias compensating reinforcement learning (RL) algorithm that optimizes thermal comfort (by minimizing tracking error) and
HVAC-Cx is a semi-automated commissioning software tool designed to facilitate performance analysis for heating, ventilating, and air conditioning (HVAC)
The first version of HVACSIM+, which stands for “HVAC SIMulation PLUS other systems”, was introduced by National Institute of Standards and Technology (NIST) in
The NIST Virtual Cybernetic Building Testbed (VCBT) is a whole building emulator designed with enough flexibility to be capable of reproducibly simulating