Refrigeration cycles are used in a large diversity of industrial and domestic (residential and non-residential) equipments and its efficiency depends on several variables. Statistically designed experiments were conducted to better understanding of how controllable variables impacts on a compression refrigeration cycle efficiency in order to design high-efficiency refrigeration cycles, which are characterized by lower energy consumption and better refrigeration effects. A quadratic polynomial model was fitted to Coefficient of Performance and variable settings to maximize cycle efficiency identified.
Track: Quality Control and Management
Published in: 5th Annual International Conference on Industrial Engineering and Operations Management, Dubai, United Arab Emirates
Publisher: IEOM Society International
Date of Conference: March 3
-5
, 2015
ISBN: 978-0-9855497-2-5
ISSN/E-ISSN: 2169-8767