Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by: Amanda Pertzborn (Fed)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 1 - 25 of 27

Intelligent Building Agents Laboratory: Air System Design

January 25, 2024
Author(s)
Amanda Pertzborn, Daniel Veronica, Glen A. Glaeser
The National Institute of Standards and Technology has constructed the Intelligent Building Agents Laboratory (IBAL) to demonstrate the potential for distributed, intelligent software agents to optimize the control of heating, ventilation, and air

Comparison of Ice-on-Coil Thermal Energy Storage Models

September 13, 2023
Author(s)
Kalyan Ram Kanagala, Amanda Pertzborn
Data collected from the Intelligent Building Agents Laboratory (IBAL) at the National Institute of Standards and Technology (NIST) are used to develop a physics-based and four machine learning models of ice-on-coil thermal energy storage (TES): linear

A Simulation Framework for Analyzing the Impact of Stochastic Occupant Behaviors on Demand Flexibility in Typical Commercial Buildings

June 27, 2023
Author(s)
Zhelun Chen, Yicheng Li, Jin Wen, Liang Chung Lo, Gabriel Grajewski, Zheng O'Neill, Amanda Pertzborn, Vance (Wm.) Payne, Steven T. Bushby
As one of the primary users of the electric grid, buildings and building equipment, including heating, ventilation, and air conditioning (HVAC) systems, can be leveraged to provide the flexible demand needed to balance the grid. Typical strategies to

A Review of Machine Learning Control in Building Operations

March 14, 2023
Author(s)
Liang Zhang, Zhelun Chen, Xiangyu Zhang, Amanda Pertzborn
Machine learning control (MLC) is a highly flexible and adaptable method that enables the design, modeling, tuning, and maintenance of building controllers to be more accurate, automated, flexible, and adaptable. The research topic of MLC in building

Development of a Hardware-in-the-loop Testbed for Laboratory Performance Verification of Flexible Building Equipment in Typical Commercial Buildings

June 27, 2022
Author(s)
Zhelun Chen, Jin Wen, Steven T. Bushby, Caleb Calfa, Yangyang Fu, Gabriel Grajewski, Yicheng Li, L. James Lo, Zheng O'Neill, Vance (Wm.) Payne, Amanda Pertzborn, Zhiyao Yang
The goals of reducing energy costs, shifting electricity peaks, increasing the use of renewable energy, and enhancing the stability of the electric grid can be met in part by fully exploiting the energy flexibility potential of buildings and building

An Analysis of the Hybrid Internal Mass Modeling Approach in EnergyPlus

June 22, 2022
Author(s)
Zhelun Chen, Jin Wen, Steven T. Bushby, L James Lo, Zheng O'Neill, Vance (Wm.) Payne, Amanda Pertzborn, Caleb Calfa, Yangyang Fu, Gabriel Grajewski, Yicheng Li, Zhiyao Yang
Accurate simulation of building system dynamics is particularly important for understanding building energy flexibility. Among all dynamics in a building, a zone temperature's variation is especially important, as it significantly affects a building's

An Ice Storage Tank Modelica Model: Implementation and Validation

September 27, 2021
Author(s)
Guowen Li, Yangyang Fu, Amanda Pertzborn, Jin Wen, Zheng O'Neill
Energy storage systems have been gaining attention as a means of load management in grid-interactive efficient buildings. This study investigated the physics of the ice storage tank (IST) and implemented an IST model in Modelica. The developed IST Modelica

Baseline Control Systems in the Intelligent Building Agents Laboratory

September 22, 2021
Author(s)
Amanda Pertzborn, Daniel Veronica
The goal of the Embedded Intelligence in Buildings program at the National Institute of Standards and Technology (NIST) is to develop and deploy advances in measurement science that will improve building operations to achieve lower operating costs

Smoothing Techniques in Dynamic Building System Simulation

August 27, 2021
Author(s)
Zhelun Chen, Jin Wen, Anthony J. Kearsley, Amanda Pertzborn
Efficiently, robustly, and accurately solving systems of nonlinear differential algebraic equations (DAE) for dynamic building system simulation is becoming more important due to the increasing demand to simulate large-scale problems including the

Modelling the NIST IBAL

May 28, 2021
Author(s)
Adam J. Kopach, G. F. Nellis, David Bradley, Douglas T. Reindl, Amanda Pertzborn
The Intelligent Building Agents Laboratory (IBAL) at the National Institute of Standards and Technology (NIST) will be used to experimentally study control strategies within the realm of commercial building air-conditioning systems. A TRNSYS [1] model of

Using Distributed Agents to Optimize Thermal Energy Storage

March 14, 2019
Author(s)
Amanda Pertzborn
The Intelligent Building Agents Laboratory (IBAL) at the National Institute of Standards and Technology (NIST) will be used to develop and evaluate advanced control systems for commercial building heating, ventilation, and air conditioning (HVAC)

Measurement Uncertainty of the Air System in the IBAL

March 5, 2019
Author(s)
Amanda J. Pertzborn
The Intelligent Building Agents Laboratory (IBAL) has been designed and constructed to demonstrate the potential for distributed, intelligent software agents to perform optimization of control systems in commercial buildings. This technical note presents

Intelligent Building Agents Laboratory: Air System Design

September 27, 2018
Author(s)
Amanda J. Pertzborn, Daniel A. Veronica
The National Institute of Standards and Technology has constructed the Intelligent Building Agents Laboratory (IBAL) to demonstrate the potential for distributed, intelligent software agents to optimize the control of heating, ventilation, and air

Measurement Uncertainty in the Hydronic System in the IBAL

September 7, 2017
Author(s)
Amanda J. Pertzborn
The Intelligent Building Agents Laboratory (IBAL) has been designed to demonstrate the potential for distributed, intelligent software agents to perform optimization of control systems in commercial buildings. This technical note discusses the methodology

Scaling Methods for Dynamic Building System Simulation in an HVACSIM+ Environment

August 9, 2017
Author(s)
Zhelun Chen, Jin Wen, Anthony J. Kearsley, Amanda Pertzborn
A robust and efficient nonlinear algebraic and differential equations solver is increasingly essential as the scale of dynamic building system simulation grows larger and the models employed become more complex. There are many factors affecting the

Towards a Semantically-Enabled Control Strategy for Building Simulations: Integration of Semantic Technologies and Model Predictive Control

August 9, 2017
Author(s)
Parastoo Delgoshaei, Mark Austin, Amanda Pertzborn, Mohammad Heidarinejad, Vikas Chandan
State-of-the-art building simulation control methods incorporate physical constraints into their mathematical models, but omit implicit constraints associated with policies of operation and dependency relationships among rules representing those

A Tool for Evaluating Fault Detection and Diagnostic Methods for Fan Coil Units

December 6, 2016
Author(s)
Shokouh Pourarian, Jin Wen, Daniel Veronica, Amanda Pertzborn, Xiaohui Zhou, Ran Liu
Dynamic simulation software tools are needed for the research and development of improved methods for automatic control and automated fault detection and diagnosis of heating, ventilation, and air conditioning (HVAC) systems. These tools must generate data

Intelligent Building Agents Laboratory: Hydronic System Design

September 29, 2016
Author(s)
Amanda J. Pertzborn
Achieving national goals of net zero energy buildings requires substantial reduction in the energy consumption of commercial building systems. In 2015, commercial buildings consumed 18 % of the total energy consumed in the U.S. [1]. Although significant