Fast Turbomachinery Design Tools for Multi-Good Plants Based on sCO2 Cycles: the MUSIC Project Experience
| Title | Fast Turbomachinery Design Tools for Multi-Good Plants Based on sCO2 Cycles: the MUSIC Project Experience |
| Publication Type | Conference Paper |
| Year of Publication | Submitted |
| Authors | Nesi F, Marconcini M, Arnone A, Girelli S, Alfani D, Silva P |
| Conference Name | ATI Annual Conference |
| Conference Location | Benevento, Italy, 10-12 settembre 2025. |
| Abstract | Global warming and the impact of greenhouse gas emissions are currently one of the main topics of the international policy and scientific community. In the context of EU and national energy strategies, one of the most interesting research areas is the use of supercritical carbon dioxide (sCO2) as a working fluid. With this aim the paper presents the development and the validation of mean-line tools for design of centrifugal compressors and radial inflow expanders to be applied in a multi-good system exploiting concentrating solar power (CSP) to produce both electricity and hydrogen (H2) in the framework of the MUSIC project funded by the Italian Ministry of University and Research. The mean- line approach is essential during the preliminary phase of turbomachinery sizing as it quickly provides geometric and performance quantities. In particular, the choice of sCO2 as a working fluid makes the study of the compressor complex due to the proximity of critical point at the inlet station, in this sense becomes essential to develop a robust mean-line tool providing a preliminary solution for the compressor design. The mean-line tools are based on enthalpy loss correlations, with several loss families implemented to study their effect on performance quantities. Since turbomachinery performance is a key enabler for the success of the investigated solutions, the impact of main dimensionless parameters such as size parameter, pressure ratio, specific speed and isentropic velocity ratio is studied to evaluate their effect on efficiency. In conclusion, the results of the parametric analysis are used to quantify the influence of turbomachinery performance on the overall cycle in nominal conditions. |
| Refereed Designation | Refereed |