Vapor Compression Refrigeration System Data-Based Comprehensive Model

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Author(s): Jesús-Antonio Hernández-Riveros (Universidad Nacional de Colombia, Colombia)and Gerardo José Amador Soto (Universidad Nacional de Colombia, Colombia)
Copyright: 2023
Pages: 31
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch043

Keywords: Data Analysis and Statistics / Information Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

The IEA estimates energy demand for refrigeration by 2050 could triple. Models that allow discovery of energy saving opportunities are a must. Models for cooling systems emphasize the thermal domain leaving in the background the relationships among other energy domains and the power input source consumption. This article fills a gap in the scientific literature presenting a comprehensive model of a VCRS based on experimental measurements and catalog data. The model starts from the empirical identification of the thermal part of a commercial fridge, followed by theoretical models based on catalog data for the electrical, mechanical, and hydraulic parts. The model can be used as a benchmarking for energy activity, performances, controller effectiveness, and impact of new technologies. The VCRS is simulated for both traditional on-off discrete operation and a continuous operation using new technologies such as variable speed compressors and adjustable valves. Strategies facilitating a better use of the energy while fulfilling a desired behavior are possible through the comprehensive model.

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