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The quality and quantity of refrigerant charge in any vapor compression-based heating and cooling system is vital to its energy efficiency, thermal capacity, and reliability.
The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.
Performance of heat exchangers greatly suffers due to maldistribution of fluid, which also impacts the performance of the entire HVAC system. One method to reduce fluid maldistribution is to improve the design of the manifold to make the flow evenly distributed.
Moisture management accounts for over 40% of the energy used by buildings. As such development of energy efficient and resilient dehumidification technologies are critical to decarbonize the building energy sector.
ORNL has developed a new thermal energy storage design utilizing low conductivity organic phase change materials.
Household refrigerators typically consume 1.5–2.0kWh of electricity per day, and more than 100 million refrigerators are used in US homes, resulting in significant primary energy consumption and carbon emissions.
In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.
This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.