Due to the growing reality of global warming and climate change, there is increasing uncertainty around meteorological conditions used in energy assessments of buildings.
Due to the growing reality of global warming and climate change, there is increasing uncertainty around meteorological conditions used in energy assessments of buildings. Existing methods for generating meteorological data do not adequately handle the interdependence of meteorological elements, such as solar radiation, air temperature, and absolute humidity, which are important for calculating energy usage and efficiency.
To address this challenge, a research team at Osaka Metropolitan University’s Graduate School of Human Life and Ecology—comprising Associate Professor Jihui Yuan, Professor Emeritus Kazuo Emura, Dr. Zhichao Jiao, and Associate Professor Craig Farnham—developed an innovative evaluation method. This method utilizes a statistical model to represent the interdependence of multiple factors, facilitating the generation of probabilistic meteorological data.
Read more at Osaka Metropolitan University
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