Journal of Siberian Federal University. Engineering & Technologies / Optimization of the Regasification Contour of a Cryoproduct Operating on a Two- Cascade Renkin Cycle

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2026 19 (5)
Authors
Shimanova, Alexandra B.; Uglanov, Dmitriy A.; Karnaukh, Viktoriia V.; Sarmin, Dmitriy V.; Lopatin, Alexey L.; Shimanov, Artem A.
Contact information
Shimanova, Alexandra B. : Samara National Research University named after Academician S. P. Korolev (Samara, Russian Federation); Uglanov, Dmitriy A. : Samara National Research University named after Academician S. P. Korolev (Samara, Russian Federation); Karnaukh, Viktoriia V. : Tugan-Baranovsky Donetsk National University of Economics and Trade (Donetsk, Russian Federation); ; Sarmin, Dmitriy V.: Samara National Research University named after Academician S. P. Korolev (Samara, Russian Federation); Lopatin, Alexey L.: Samara National Research University named after Academician S. P. Korolev (Samara, Russian Federation); Shimanov, Artem A.: Samara National Research University named after Academician S. P. Korolev (Samara, Russian Federation)
Keywords
regasification; dual-cascade closed Rankine cycle; liquid air; Pareto front; Cryogenic Energy Storage System
Abstract

The paper presents the results of an integrated study focused on optimizing the regasification loop of a cryogenic product (liquid air) for Cryogenic Energy Storage Systems (CESS) based on a dual- cascade closed Rankine cycle. The motivation for this research stems from the increasing importance of CESS for the integration of renewable energy sources and the imperative to improve the efficiency and economic viability of low-temperature power generation facilities. The principal scientific contribution of this work is the development and application of a Pareto-based multi-objective optimization framework for a complex two- circuit thermodynamic system. The research concurrently accounted for both thermodynamic performance metrics (such as power output, thermal and exergy efficiency) and an economic criterion (capital expenditure). This comprehensive methodology made it possible to identify plant configurations that are not only optimal from an energy standpoint but also justified from a technical and economic perspective. As part of the investigation, a detailed simulation model of the dual-cascade system was developed. This model encompassed thermodynamic analysis of key state points, energy balancing, heat exchanger sizing, and an exergo-economic analysis. The optimization algorithm, coded in Python, generated a Pareto front that effectively visualizes the compromise between the system’s net power output and its capital cost

Pages
587–604
EDN
WZJVAY
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/159299

Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).