Reports Outline Machine Learning Study Results from Islamic University of Techno logy (IUT) (Waste Heat Recuperation in Advanced Supercritical CO2 Power Cycles w ith Organic Rankine Cycle Integration & Optimization Using Machine Learning Methods)

Robotics & Machine Learning Daily News2024，Issue(MAY.7) ：57-58.

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Reports Outline Machine Learning Study Results from Islamic University of Techno logy (IUT) (Waste Heat Recuperation in Advanced Supercritical CO2 Power Cycles w ith Organic Rankine Cycle Integration & Optimization Using Machine Learning Methods)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Islamic Univ ersity of Technology (IUT) by NewsRx correspondents, research stated, “Supercrit ical CO2 (sCO2) stands out for concentrating solar power (CSP) due to its superi or thermophysical and chemical properties, promising higher cycle efficiency com pared to superheated or supercritical steam. Leveraging the waste heat from sCO2 cycles through the organic Rankine cycle (ORC) as a low-grade energy source enh ances overall thermal efficiency.”

Key words

Islamic University of Technology (IUT)/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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