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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
William M. Healy, Kristen Cetin, Richard Karg, Chandra Sekhar, Li Song, Jerzy Sowa, Iain Walker, Pawel Wargocki
The COVID-19 pandemic brought about a rapid and dramatic shift in the number of people working from home. For ASHRAE, the shift to more work from home has an impact on its mission. Most notably, key metrics for performance of the built environment
Hannah Covington, Brian Woo-Shem, Chenli Wang, Cuong Nguyen, Thomas Roth, Yuhong Liu, Yi Fang, Hohyun Lee
Modern advancements in energy technology, such as smart meters and renewable power generation, have contributed to the increasing penetration of time-variable electricity pricing plans. Under such plans, consumers experience a higher financial burden for
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
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
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
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