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 26 - 50 of 50

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

Efficient and Robust Optimization for building energy simulation

June 15, 2016
Author(s)
Shokouh Pourarian, Jin Wen, Anthony J. Kearsley, Amanda Pertzborn
Efficiently, robustly and accurately solving large sets of structured, non-linear algebraic and differential equations is one of the most computationally expensive steps in the dynamic simulation of building energy systems. Here, the efficiency, robustness

A Semantic Framework for Modeling and Simulation of Cyber-physical Systems

December 30, 2014
Author(s)
Parastoo Delgoshaei, Mark Austin, Amanda Pertzborn
This paper describes a new semantic platform infrastructure for model-based systems engineering, requirements traceability, and system simulation and assessment of cyberphysical systems (CPSs). When fully developed this environment will support the