首页|Islamic University of Technology (IUT) Researchers Highlight Research in Machine Learning (Machine learning-based multi-objective optimization and thermal asses sment of supercritical CO2 Rankine cycles for gas turbine waste heat recovery)
Islamic University of Technology (IUT) Researchers Highlight Research in Machine Learning (Machine learning-based multi-objective optimization and thermal asses sment of supercritical CO2 Rankine cycles for gas turbine waste heat recovery)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Gazipur, Ba ngladesh, by NewsRx correspondents, research stated, “Technologies for utilizing waste heat for power generation have attracted significant attention in recent years due to their potential to enhance energy efficiency and reduce greenhouse gas emissions. This research focuses on the comparative and optimization analysi s of three supercritical carbon dioxide (sCO2) Rankine cycles (simple, cascade, and split) for gas turbine waste heat recuperation.”
Islamic University of Technology (IUT)GazipurBangladeshCyborgsEmerging TechnologiesMachine LearningTechnol ogy
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