Uncertainty Quantification of Cooling Load Calculation
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DOI: 10.23977/csic.2018.0907
Author(s)
Da Lin, Dazhou Zhao
Corresponding Author
Da Lin
ABSTRACT
Cooling load calculation is commonly implemented with building energy simulation software among HVAC industry. While those software have limited ability to handle large amount of uncertain input data. Since they can only accept deterministic or scenario input data. In this paper, a new model is proposed to calculate the cooling load. The uncertainty of input data is considered and Monte Carlo simulation is used to calculate the building cooling load.
KEYWORDS
Uncertainty Quantification, Cooling Load, Monte Carlo Simulation
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