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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
Piotr A. Domanski, Mark O. McLinden, Valeri I. Babushok, Ian Bell, Tara Fortin, Michael Hegetschweiler, Marcia L. Huber, Mark A. Kedzierski, Dennis Kim, Lingnan Lin, Gregory T. Linteris, Stephanie L. Outcalt, Vance (Wm.) Payne, Richard A. Perkins, Aaron Rowane, Harrison M. Skye
This project addresses the objectives of the Statement of Need number WPSON-17-20 "No/Low Global Warming Potential Alternatives to Ozone Depleting Refrigerants." Its goal was to identify low global-warming-potential (GWP), non-flammable refrigerants to
Niraj Kunwar, Som Shrestha, Andre Desjarlais, Gina Accawi, Lisa Ng, Laverne Dalgleish
Energy consumption in residential buildings is primarily driven by space conditioning applications. Space heating and cooling, on average, consume approximately 50% of the energy in the residential buildings in the U.S. The primary energy use due to
Guowen Li, Yangyang Fu, Amanda Pertzborn, Zheng O'Neill, Jin Wen
Model Predictive Control (MPC) has been demonstrated to be an efficient way to reduce building operating costs, especially for buildings with thermal storage systems, by changing the power demand profiles. Different parameter settings of MPC have also been
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
This tutorial is a guide on how to implement the NIST infiltration correlations (Ng et al., 2021) into EnergyPlus building energy simulation software for the US Department of Energy prototype commercial buildings. The implementation can also be generalized
Cybersecurity has been a topic of increasing importance for several years. While fully securing a large and complex system can be very complicated, there are some basic precautions that can easily be applied to any system, and some basic precautions that
Lingnan Lin, Lei Gao, Mark A. Kedzierski, Yunho Hwang
A new neural network architecture, namely DimNet, was designed for correlating dimensionless quantities with power-law-like relations. Unlike common neural networks that are usually used as "black-boxes", DimNet is interpretable as it can be converted to
Yangyang Fu, Amanda Pertzborn, Zheng O'Neill, Steven T. Bushby, Jin Wen
The modern power grid faces multiple challenges due to an increase in the adoption of renewable generation, such as dynamically balancing supply and demand at different time scales. Demand side management in buildings plays a vital role in achieving this
A prototype CO2 ground-source air conditioner (GSAC) comprised of a vapor-compression cycle with a liquid-line/suction-line heat exchanger (LLSL-HX) was tested in an environmental chamber per ISO standard 13256 1 for rating liquid-to-air heat pumps. The
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
Customers and transactive energy (TE) market managers may rely on load forecasting algorithms to purchase or sell power in a forward market environment, using day-ahead and real-time pricing structures. Accurate load forecasting becomes necessary when a
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
The polarization response of a co-planar electrochemical capacitor covered with an ionic liquid as the electrolyte has been examined by a combination of two powerful analytic techniques, X-Ray Photoelectron Spectroscopy and Secondary Electron Microcopy
William Stuart Dols, Chad Milando, Lisa Ng, Steven Emmerich, Jyrteanna Teo
Publicly available tools to perform whole-building simulation of indoor air quality, ventilation, and energy have been available for several decades. Until recently, these tools were developed in isolation of one another. For example, the whole-building
Ground-source heat pumps have high energy efficiency and CO2 is an environmentally-friendly refrigerant with no ozone depletion potential (ODP) and a low global warming potential (GWP = 1), yet CO2 is not regularly applied to GSHPs. We developed a
Heterogeneous ultra-dense networking (HUDN) with energy harvesting technology is a promising approach to deal with the ever-growing traffic that can severely impact the power consumption of small-cell networks. Unfortunately, the amount of harvested energy
Advancements in residential net-zero energy buildings (NZEBs) could significantly reduce energy use and greenhouse gas emissions. NZEB design considerations broadly categorize into energy infrastructure connections, renewable energy sources, and energy