Experimental and numerical investigation to optimise liquid desiccant system for advanced air conditioning

K. V. Shivaprasad; Sumit Roy; Alessandro Giampieri; Andrew Smallbone; Anthony Paul Roskilly

doi:10.1038/s41598-025-88738-2

Experimental and numerical investigation to optimise liquid desiccant system for advanced air conditioning

K. V. Shivaprasad, Sumit Roy, Alessandro Giampieri, Andrew Smallbone, Anthony Paul Roskilly

Centre for E-Mobility and Clean Growth

University of Durham

Research output: Contribution to journal › Article › peer-review

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Abstract

This study aims to experimentally demonstrate a liquid desiccant systems effectiveness by using thermo-chemical fluid, such as aqueous solution of calcium chloride. This study evaluated the effect of operating temperatures on air properties (temperature, relative humidity, and moisture content) and system effectiveness by varying air flow rates. The system’s functionality was influenced by the operational temperature and air flow rate, and the dehumidification effectiveness was higher at low operating temperatures and low airflow rates. An ANN metamodel-based control strategy is also proposed for implementation in hybrid thermo-chemical networks with the help of system performance data and real-time data. The suggested ANN model’s results were validated using a variety of measuring techniques, including the RMSE, MAPE, correlation (R), and coefficient of determination (R ²). The proposed ANN analysis achieved an excellent correlation between predicted and experimentally measured data.

Original language	English
Article number	7151
Number of pages	15
Journal	Scientific Reports
Volume	15
Issue number	1
DOIs	https://doi.org/10.1038/s41598-025-88738-2
Publication status	Published - 28 Feb 2025

Bibliographical note

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

Funding

This project was funded through the Engineering and Physical Science Research Council (EPSRC) of the United Kingdom (EP/T022981/1), \u201CDEcarbonisation of Low TemperAture Process Heat Industry, DELTA PHI\u201D and the project H-DisNet funded by the European Commission in the Horizon 2020 program under grant No. 695780.

Funders	Funder number
European Commission
DEcarbonisation of Low TemperAture Process Heat Industry
Engineering and Physical Sciences Research Council	EP/T022981/1
Engineering and Physical Sciences Research Council
Horizon Europe	695780
Horizon Europe

Keywords

Air conditioning
Artificial neural network
Liquid desiccant dehumidification
Thermochemical network

ASJC Scopus subject areas

General

Access to Document

10.1038/s41598-025-88738-2Licence: CC BY

Roy2025VORFinal published version, 2.91 MBLicence: CC BY

Cite this

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abstract = "This study aims to experimentally demonstrate a liquid desiccant systems effectiveness by using thermo-chemical fluid, such as aqueous solution of calcium chloride. This study evaluated the effect of operating temperatures on air properties (temperature, relative humidity, and moisture content) and system effectiveness by varying air flow rates. The system{\textquoteright}s functionality was influenced by the operational temperature and air flow rate, and the dehumidification effectiveness was higher at low operating temperatures and low airflow rates. An ANN metamodel-based control strategy is also proposed for implementation in hybrid thermo-chemical networks with the help of system performance data and real-time data. The suggested ANN model{\textquoteright}s results were validated using a variety of measuring techniques, including the RMSE, MAPE, correlation (R), and coefficient of determination (R 2). The proposed ANN analysis achieved an excellent correlation between predicted and experimentally measured data.",

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Experimental and numerical investigation to optimise liquid desiccant system for advanced air conditioning

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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