Large-scale cascade cooling performance evaluation of adsorbent/water working pairs by integrated mathematical modelling and machine learning-Reference-Cited by-同舟云学术

Large-scale cascade cooling performance evaluation of adsorbent/water working pairs by integrated mathematical modelling and machine learning

Published:2022 Issue:17 Volume:10 Page:9604-9611
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

Liu Zhilu¹^ORCID,Li Wei²,Cai Shanshan¹,Tu Zhengkai¹^ORCID,Luo Xiaobing¹^ORCID,Li Song¹^ORCID

Affiliation:

1. School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

2. Energy & Electricity Research Center, Jinan University, Zhuhai 519070, China

Abstract

The cooling performance of over 90 000 adsorbent/water combinations in cascaded adsorption chillers are evaluated based on experimental water adsorption isotherm by mathematical modeling, as well as efficiently predicted by machine learning models.

Funder

National Key Research and Development Program of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/TA/D1TA11023C

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