Optimizing a Cogeneration sCO2 CSP–MED Plant Using Neural Networks-Reference-Cited by-同舟云学术

Optimizing a Cogeneration sCO2 CSP–MED Plant Using Neural Networks

Published:2020-11-20 Issue:3 Volume:1 Page:393-403
ISSN:2690-0645
Container-title:ACS ES&T Engineering
language:en
Short-container-title:ACS EST Eng.

Author:

Caceres Gonzalez Rodrigo A.¹^ORCID,Zheng Yanjie²,Hatzell Kelsey B.²³⁴^ORCID,Hatzell Marta C.¹^ORCID

Affiliation:

1. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0405, United States

2. Department of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee 37235-1826, United States

3. Interdisciplinary Material Science Program, Vanderbilt University, Nashville, Tennessee 37235, United States

4. Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee 37235, United States

Funder

Comisi?n Nacional de Investigaci?n Cient?fica y Tecnol?gica

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsestengg.0c00132

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2. Recent Developments in Solar Thermal Desalination Technologies: A Review

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4. Energy consumption and water production cost of conventional and renewable-energy-powered desalination processes

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