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Search Publications by: Amanda Pertzborn (Fed)

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Displaying 1 - 25 of 50

Advanced Co-simulation Framework for Assessing the Interplay between Occupant Behaviors and Demand Flexibility in Commercial Buildings

September 2, 2024
Author(s)
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. This study introduces an advanced co-simulation framework that integrated a range of models

Forecasting Operation of a Chiller Plant Facility Using Data Driven Models

July 23, 2024
Author(s)
Behzad Salimian Rizi, Afshin Faramarzi, Amanda Pertzborn, Mohammad Heidarinejad
In recent years, data-driven models have enabled accurate prediction of chiller power consumption and chiller coefficient of performance (COP). This study evaluates the usage of time series Extreme Gradient Boosting (XGBoost) models to predict chiller

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