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Publications

Search Publications by Amanda Pertzborn

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Displaying 1 - 6 of 6

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

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 J. 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 J. 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