1. Editorial "Thermodynamic Optimization of Industrial Energy Systems".
- Author
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Florez-Orrego, Daniel, Ribeiro Domingos, Meire Ellen, and Nogueira Nakashima, Rafael
- Subjects
ARTIFICIAL neural networks ,VAPOR compression cycle ,ENERGY consumption ,MACHINE learning ,CARBON sequestration ,WASTE heat ,HEAT recovery - Abstract
The editorial in the journal "Entropy" discusses the importance of thermodynamic optimization in industrial energy systems to reduce energy consumption and environmental impact. Various techniques like heat integration and exergy analysis are used to enhance system performance. The editorial highlights research articles focusing on optimizing polygeneration systems, bio-energy with carbon capture and storage, biomass-based combined cycles, and waste heat management in different industrial processes. These studies aim to improve energy efficiency, reduce emissions, and promote sustainable energy practices. [Extracted from the article]
- Published
- 2024
- Full Text
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