Abstract
This study presents a multi-objective optimization framework for CO2-mixture based power cycles in Gen2 concentrating solar power applications, targeting 550 °C and 50 °C maximum and minimum cycle temperatures. A unified computational approach integrates 14 dopants with 5 cycle configurations (Simple Recuperated, Precompression, Recompression, Partial Cooling, and Recompression with Intercooling) using multi-objective controlled elitist genetic algorithms to simultaneously optimize thermal efficiency and primary heat exchanger temperature difference as surrogates for solar field and thermal energy storage costs. The methodology enables seamless evaluation of both supercritical and transcritical cycles through pressure–temperature phase envelope integration, revealing that transcritical CO2-mixtures consistently outperform supercritical configurations for both pure CO2 and CO2-mixtures. The thermodynamical analysis shows that cycle complexity does not guarantee efficiency gains when CO2-mixtures are used, as simple layouts can outperform complex configurations in thermal efficiency while complex layouts primarily benefit from temperature difference improvements in the primary heat exchanger up to 80 °C when CO2-mixtures are used. Multi-criteria decision making analysis incorporating weighted thermal efficiency (60 %), temperature difference (20 %), and power block costs (20 %) identifies 66 % CO2-34 % SO2 mixture in Recompression with Intercooling layout as the most optimal, achieving 43 % thermal efficiency, 211 °C temperature difference, and 923 $/kWe power block costs that is below the critical economic viability threshold for Gen2 power blocks. Additional comparative analysis between CO2-mixture and pure CO2 based cycles investigating the utilization of additional temperature differences through primary heat exchanger offers further advantages in reducing the power block costs for recompression-type cycles when CO2-mixtures are used, demonstrating power block costs as low as 766 $/kWe.
| Original language | English |
|---|---|
| Article number | 120401 |
| Number of pages | 18 |
| Journal | Energy Conversion and Management |
| Volume | 345 |
| Early online date | 26 Aug 2025 |
| DOIs | |
| Publication status | Published - 1 Dec 2025 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s)
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