Comparative energy and exergy analysis of water-LiBr absorption chiller configurations with ejector integration, and implementation of artificial neural network on the optimal selection
by Hamid-Reza Bahrami; Samane Fazli
International Journal of Exergy (IJEX), Vol. 43, No. 4, 2024

Abstract: Refrigeration, a fossil fuel-intensive industry causing ozone depletion, is exploring energy-efficient alternatives like absorption chillers. Ejectors show promise in improving absorption chiller efficiency. Four ejector-assisted single-effect absorption chillers using LiBr as refrigerant were examined. The ejectors are used in different locations of the cycle in each configuration. Results reveal that Type D performs best (COP of 1.4 and lowest condenser heat rejection). The study also demonstrates the efficacy of artificial neural networks in accurately predicting cycle performance, which is useful for HVAC applications. Additionally, the genetic algorithm is employed to determine the optimal performance of the selected configuration.

Online publication date: Mon, 29-Apr-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Exergy (IJEX):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com