Introducing a novel liquid air cryogenic energy storage system using phase change material, solar parabolic trough collectors, and Kalina power cycle (process integration, pinch, and exergy analyses)

Ebrahimi, Armin; Ghorbani, Bahram; Skandarzadeh, Fatemeh; Ziabasharhagh, Masoud

doi:10.1016/j.enconman.2020.113653

Cited by 49 publications

(12 citation statements)

References 51 publications

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“…For the heat storage sub‐system, the radiator released considerable heat to the environment, and its exergy loss ratio was 17.63%. Some researchers have set up a cogeneration unit (such as an ORC‐based or a Kalina‐based power generation system) to use the waste heat completely 35,37,52 …”

Section: Resultsmentioning

confidence: 99%

“…The results showed a higher high‐grade cold recycle utilization factor with a lower effect of charge pressure on liquefaction specific consumption and lower isentropic efficiency values of the main turbomachinery with a lower RTE, and the liquefaction specific consumption was significantly affected by the storage pressure with a decrease of up to 26%. Ebrahimi et al 37 developed an integrated LAES using a phase‐change material, solar parabolic trough collectors, and the Kalina power cycle. The results showed that the charging pressure decreased and discharging pressure increased, system efficiency increased, and the optimized RTE and electrical storage efficiency increased to 47.59% and 61.60%, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of a cryogenic liquid air energy storage system and its optimal thermodynamic performance

Tan

Wen

Ding

et al. 2022

Intl J of Energy Research

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Summary For grid‐scale intermittent electricity storage, liquid air energy storage (LAES) is considered to be one of the most promising technologies for storing renewable energy. In this study, a steady‐state process model was developed for an LAES, by combining a Linde liquefaction process and an open Rankine power cycle. To investigate the system performance and achieve global optimization, a single‐factor analysis approach and multifactor genetic algorithm (GA) optimization model were built using MATLAB software. The effects of the charging pressure, storage pressure, discharging pressure, and isentropic efficiency of the compressor/turbine on the LAES performance parameters, such as the inlet temperature of the Joule–Thomson valve, round‐trip efficiency (RTE), liquefaction ratio (LR), and power consumptions in the compressor, cryo‐pump, and turbine, were investigated. Subsequently, the optimal conditions were obtained using the GA optimization method to achieve the optimal performance of the LAES. The results showed that the charging pressure, discharging pressure, and isentropic efficiencies of the compressor and turbine had significant effects on the RTE; an increase in the discharging pressure resulted in an improved expansion power output; the GA optimization could achieve RTE, LR, the system energy storage and recovery exergy efficiencies of 53.33%, 86.96%, 81.00%, and 78.16%; the power consumption in the compressor of GA optimization was 10.02% maximum saving. The proposed optimization method can be used to further explore the global optimization of cryogenic energy storage systems, such as different‐layout LAES systems and different cryogenic liquefaction media energy storage systems.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of a cryogenic liquid air energy storage system and its optimal thermodynamic performance

Tan

Wen

Ding

et al. 2022

Intl J of Energy Research

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“…When the pressure is near 4 MPa, the specific heat capacity of air reaches a peak at the temperature of 133.7 K. This is mainly because that the temperature changes slightly near 133.7 K with the same heat flow per mass. As discussed in many studies [24,40,41], the cold box accounts for the enormous exergy destruction among the heat exchangers. A better temperature gradient match of the heat transfer fluids inside the cold box results in a higher exergy efficiency of the cold box and hence a better RTE.…”

Section: The Effects Of Cold Storage Pressure On the Laes Systemmentioning

confidence: 99%

The Effect of Dynamic Cold Storage Packed Bed on Liquid Air Energy Storage in an Experiment Scale

Bian

Wang

Wang³

et al. 2021

Energies

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Liquid air energy storage (LAES) is one of the most promising large-scale energy storage technologies for the decarburization of networks. When electricity is needed, the liquid air is utilized to generate electricity through expansion, while the cold energy from liquid air evaporation is stored and recovered in the air liquefaction process. The packed bed filled with rocks/pebbles for cold storage is more suitable for real-world application in the near future compared to the fluids for cold storage. A standalone LAES system with packed bed energy storage is proposed in our previous work. However, the utilization of pressurized air for heat transfer fluid in the cold storage packed bed (CSPB) is confusing, and the effect of the CSPB on the system level should be further discussed. To address these issues, the dynamic performance of the CSPB is analyzed with the physical properties of the selected cold storage materials characterized. The system simulation is conducted in an experiment scale with and without considering the exergy loss of the CSPB for comparison. The simulation results show that the proposed LAES system has an ideal round trip efficiency (RTE) of 39.38–52.91%. With the consideration of exergy destruction of the CSPB, the RTE decreases by 19.91%. Furthermore, increasing the cold storage pressure reasonably is beneficial to the exergy efficiency of the CSPB, whether it is non-supercritical (0.1 MPa–3 MPa) or supercritical (4 MPa–9 MPa) air. These findings will give guidance and prediction to the experiments of the LAES and finally promote the development of the industrial application.

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“…A study presented a cogeneration system, which used PTC and liquefied natural gas regasification. System outputs were power and cooling, which were generated by a Kalina‐based cooling and power generation cycle and a gas turbine 24 . Ghaebi and Rostamzadeh 25 used an SGSP (salinity‐gradient solar pond) to power a cogeneration system integrated with an ORC and a Kalina cycle with a reverse osmosis unit for power and freshwater production.…”

Section: Introductionmentioning

confidence: 99%

“…System outputs were power and cooling, which were generated by a Kalina-based cooling and power generation cycle and a gas turbine. 24 Ghaebi and Rostamzadeh 25 used an SGSP (salinity-gradient solar pond) to power a cogeneration system integrated with an ORC and a Kalina cycle with a reverse osmosis unit for power and freshwater production. Feng et al 26 performed a triple optimization on the Kalina cycle by changing heat transfer area distribution, in which the overall output power, thermal efficiency, and ecological function were improved 17.27%, 5.79%, and 1.05%, respectively.…”

mentioning

confidence: 99%

A comparison of using organic Rankine and Kalina cycles as bottom cycles in a solar‐powered steam Rankine cycle

Mirjavadi

Pourfayaz

Pourmoghadam

et al. 2022

Energy Science & Engineering

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This study has attempted to compare two thermodynamic cascade cycles, which in this paper are presented as Systems A and B. System A was consisted of a steam Rankine cycle (SRC) as a top cycle and an organic Rankine cycle (ORC) as a bottom cycle. System B was consisted of the same SRC as the top cycle and a Kalina cycle as the bottom cycle. The comparison of both systems has been made by changing a number of parameters. The chosen parameters for this comparison were bottom cycle mass flow rate, aperture area of the collector, top cycle condensing pressure, and bottom cycle turbine inlet and outlet pressures. Also, a short economic evaluation has been made between two proposed cascade cycles (Systems A and B). The result indicated that the Kalina cycle shows superiority over the ORC as the bottom cycle in a solardriven SRC. Furthermore, it was determined that the most effective parameters on the overall efficiency of the systems are the condensing pressure of the top cycle and the outlet pressure of the bottom cycle turbine. Also, among the chosen parameters, the outlet pressure of the bottom cycle turbine had the highest effect on the efficiency of the bottom cycles.Considering the economic aspect, the results showed that the levelized costs of energy for both systems are quite equal at 0.011 ($/kWh).

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Introducing a novel liquid air cryogenic energy storage system using phase change material, solar parabolic trough collectors, and Kalina power cycle (process integration, pinch, and exergy analyses)

Cited by 49 publications

References 51 publications

Optimization of a cryogenic liquid air energy storage system and its optimal thermodynamic performance

Optimization of a cryogenic liquid air energy storage system and its optimal thermodynamic performance

The Effect of Dynamic Cold Storage Packed Bed on Liquid Air Energy Storage in an Experiment Scale

A comparison of using organic Rankine and Kalina cycles as bottom cycles in a solar‐powered steam Rankine cycle

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