Master of Science in Mechanical Engineering
Henry M. Rowan College of Engineering
New Jersey Department of Military and Veterans Affairs
Francis M. Haas, Ph.D.
Committee Member 1
William T. Riddell, Ph.D.
Committee Member 2
Jess W. Everett, Ph.D.
Buildings, Degree-day modeling, Energy, eQUEST modeling, Heat transfer, Resistance-capacitance modeling
Civil Engineering | Mechanical Engineering
Residential, commercial, and industrial building sectors in the United States were responsible for 42% of the nation’s consumption of 100.2 quadrillion BTUs of energy in 2019 . 80% of the nation’s energy is sourced from fossil fuels, including coal, natural gas, and petroleum. Fossil fuels are known contributors to carbon emissions and climate change, making energy reduction vital. Consequently, New Jersey Department of Military and Veterans Affairs (NJDMAVA) is tasked with evaluating energy consumption and efficiency in all New Jersey Army National Guard (NJARNG) facilities, as mandated by TAG Policy Letter 18-5, Executive Order 13990, and the Energy Independence and Security Act of 2007. This research investigates three building energy consumption modeling (BEM) approaches for colder weather: eQUEST, degree-day modeling, and resistance-capacitance (RC) modeling. Each method has distinct advantages and limitations, but BEM holds promise in identifying cost-effective energy-saving measures, aligning with the goals of government entities like NJDMAVA. Specifically, eQUEST proves valuable for experienced users in energy modeling. Degree-day modeling excels at detecting operational shifts and benchmarking similar facilities. The RC model was able to accurately predict energy savings as a result of changes to thermostat settings
Muermann, Jason Bastie, "EVALUATION OF DIGITAL TWIN APPROACHES FOR THERMAL MODELING AND ENERGY OPTIMIZATION FOR EXISTING BUILDINGS" (2023). Theses and Dissertations. 3161.