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Guidelines and optimization criteria of a machine learning-based methodology for mixture design in ORC systems
orking fluid selection in organic Rankine cycles (ORC) is a critical issue in the system design for specific applications. In most cases, pure fluids are employed as working medium, and the choice among commercial products is fundamentally based on the heat source temperature level, on fluid cost and safety requirements. Mixtures of organic fluids present some interesting features. First of all, zeotropic

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| Edition number | 1ª Edición |
| License | Creative Commons Attribution 4.0 International (CC BY 4.0) |
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| Usage rights | openAccess |
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| On UNEBOOK | |
| Open access publication date | 2024-07-25 |
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