Dynamic performance evaluation and machine learning-assisted optimization of a solar-driven system integrated with PCM-based thermal energy storage: A case study approach

Dynamic performance evaluation and machine learning-assisted optimization of a solar-driven system integrated with PCM-based thermal energy storage: A case study approach

<p>This paper presents the design, modeling, and multi-objective optimization of an advanced solar energy system based on concentrated solar power technology, aimed at sustainable electricity generation in urban environments. The proposed configuration integrates a high-temperature Rankine cyc...

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Bibliographic Details
Main Author: Haitham Osman (11737057) (author)
Other Authors: Abdelfattah Amari (17732601) (author), Sarminah Samad (13811242) (author), Abdellatif M. Sadeq (16931841) (author), Ibrahim Mahariq (18591148) (author), Farruh Atamurotov (19681594) (author), Lola Safarova (22254529) (author)
Published: 2025
Subjects:
Engineering
Electrical engineering
Fluid mechanics and thermal engineering
Concentrated solar power (CSP)
Phase change material (PCM)
Thermoelectric generator (TEG)
Kalina cycle (KC)
Thermoeconomic optimization
Artificial neural networks (ANN)
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