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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 The TE Flex project will provide the scientific basis for effective customer DER integration using transactive methods by 2026 with industry collaboration. Simulation studies in the NIST TE Testbed will investigate how transactive exchanges can optimally engage the flexibility of different
Objective Demonstrate the feasibility of AI control techniques for reducing the energy costs of HVAC systems in commercial buildings and create a research infrastructure, the Intelligent Building Agents Laboratory (IBAL), suitable for ongoing demonstration, development, and evaluation of advanced AI
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 develop and demonstrate advances in measurement science to enable integration of interoperable and secure real-time sensing, control, communications, information and power technologies, in order to increase the system efficiency, reliability, resiliency and sustainability of the nation
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