Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-10333
For citation please use:
Main Title: Superstructure-Based Optimization of Vapor Compression-Absorption Cascade Refrigeration Systems
Author(s): Mussati, Sergio F.
Morosuk, Tatiana
Mussati, Miguel C.
Type: Article
Language Code: en
Abstract: A system that combines a vapor compression refrigeration system (VCRS) with a vapor absorption refrigeration system (VARS) merges the advantages of both processes, resulting in a more cost-effective system. In such a cascade system, the electrical power for VCRS and the heat energy for VARS can be significantly reduced, resulting in a coefficient of performance (COP) value higher than the value of each system operating in standalone mode. A previously developed optimization model of a series flow double-effect H2O-LiBr VARS is extended to a superstructure-based optimization model to embed several possible configurations. This model is coupled to an R134a VCRS model. The problem consists in finding the optimal configuration of the cascade system and the sizes and operating conditions of all system components that minimize the total heat transfer area of the system, while satisfying given design specifications (evaporator temperature and refrigeration capacity of −17.0 °C and 50.0 kW, respectively), and using steam at 130 °C, by applying mathematical programming methods. The obtained configuration is different from those reported for combinations of double-effect H2O-LiBr VAR and VCR systems. The obtained optimal configuration is compared to the available data. The obtained total heat transfer area is around 7.3% smaller than that of the reference case.
URI: https://depositonce.tu-berlin.de/handle/11303/11452
http://dx.doi.org/10.14279/depositonce-10333
Issue Date: 10-Apr-2020
Date Available: 22-Jun-2020
DDC Class: 600 Technik, Technologie
Subject(s): combined refrigeration process
absorption-compression
cascade
R134a (1,1,1,2-tetrafluoroetano)
water-lithium bromide
double-effect
superstructure
optimization
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Entropy
Publisher: MDPI
Publisher Place: Basel
Volume: 22
Issue: 4
Article Number: 428
Publisher DOI: 10.3390/e22040428
EISSN: 1099-4300
Appears in Collections:FG Exergiebasierte Methoden für kältetechnische Systeme » Publications

Files in This Item:
entropy-22-00428-v2.pdf
Format: Adobe PDF | Size: 2.47 MB
DownloadShow Preview
Thumbnail

Item Export Bar

This item is licensed under a Creative Commons License Creative Commons