Application of machine learning to develop a real-time air-cooled condenser monitoring platform using thermofluid simulation data

Author:

Haffejee Rashid A.ORCID,Laubscher Ryno

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference17 articles.

1. Achieving near-water-cooled power plant performance with air-cooled condensers;Bustamante;Appl Therm Eng,2016

2. The global risks report,2019

3. Development of a thermofluid network modeling methodology for double-row air-cooled condensers;Haffejee;Therm Sci Eng Prog,2020

4. Multi-physics-resolved digital twin of proton exchange membrane fuel cells with a data-driven surrogate model;Wang;Energy AI,2020

5. Application of generative deep learning to predict temperature, flow and species distributions using simulation data of a methane combustor;Laubscher;Int J Heat Mass Transf,2020

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