Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems

Alirahmi, Seyed Mojtaba; Razmi, Amir Reza; Arabkoohsar, Ahmad

doi:10.1016/j.rser.2021.110850

Cited by 203 publications

(22 citation statements)

References 56 publications

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“…In Ref. 52, a comprehensive assessment of a hybrid hydrogen and CAES system is performed. The proposed model minimized the emissions of CAES technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of microenergy grid including adiabatic compressed air energy storage by considering uncertainty of intermittent parameters

Zhan

Arandian

2021

Energy Science & Engineering

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In recent years, zero-carbon energy resources such as adiabatic compressed air energy storage with thermal energy storage have been interested due to growing concerns over global warming. This study proposes a microenergy grid including heat and power networks connected through adiabatic compressed air energy storage with thermal energy storage, which can be considered hybrid energy storage supplying power for both networks. The power network is supplied with How to cite this article: Hu F, Zhan X, Arandian B. Optimization of microenergy grid including adiabatic compressed air energy storage by considering uncertainty of intermittent parameters.

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“…In Ref. 52, a comprehensive assessment of a hybrid hydrogen and CAES system is performed. The proposed model minimized the emissions of CAES technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of microenergy grid including adiabatic compressed air energy storage by considering uncertainty of intermittent parameters

Zhan

Arandian

2021

Energy Science & Engineering

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“…In [19], an innovative combination of CAES, solar heliostat and multi-effect thermal vapor compression seawater desalination unit was established to achieve energy savings and efficiency enhancement; with typical verified cases, a payback period of 2.65 years was obtained. The authors of [20] employed artificial neural networks to train model results and employed four multi-objective optimization procedures based on MOPSO, NSGA-II, PEIESA-II, and SPEA2 algorithms to determine the optimum between system thermodynamic performance and economic viability. Asmae B. et al [10] proposed a new method for energy storage system operation and optimization.…”

Section: Introductionmentioning

confidence: 99%

Compressed Air Energy Storage Capacity Configuration and Economic Evaluation Considering the Uncertainty of Wind Energy

et al. 2022

Energies

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The random nature of wind energy is an important reason for the low energy utilization rate of wind farms. The use of a compressed air energy storage system (CAES) can help reduce the random characteristics of wind power generation while also increasing the utilization rate of wind energy. However, the unreasonable capacity allocation of the CAES system results in high capital investment and a long payback period. In order to improve the economic benefits of energy storage, this paper studies the capacity configuration of compressed air energy storage systems under the condition of wind energy uncertainty. First, the typical hourly power distribution of wind power generation was obtained using historical data. Factors such as user load demand, time-of-use price of the power grid, system investment cost, power shortage cost, and power sales revenue were considered. Then, a model was built with the charging and discharging power and gas storage capacity of the CAES system as constraints, and the maximum return on investment and the minimum volume of the gas storage tank as targets. NSGA-II and TOPSIS optimal selection methods were used to solve the problem. Finally, the model was used to optimize a power operation case. The results show that in the case of an hourly load power demand of a factory using 3.2 MW, a wind farm would need to keep four wind turbines running every day, and a compressed air energy storage system with a rated power of 1 MW and a rated capacity of 7 MW would ensure the best project benefit. In this mode, 1.24 × 103 MWh of wind abandoning power could be reduced annually, 2.6 × 104 kg of carbon emissions could be reduced by increasing energy storage within the operation cycle, and the payback period of investment would only be 4.8 years.

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“…However, few studies focus on hybrid system integrated SOFC and energy storage. Compressed air energy storage (CAES) can be one of promising physical energy storage technology due to its peak shaving, long operating life time and low environmental pollution [9][10]. For conventional CAES, the surplus electricity from power grid or renewable energy is consumed to compress air by compressors during low electricity demand period.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic analysis of a new hybrid system combined heat and power integrated solid oxide fuel cell, gas turbine, Rankine steam cycle with compressed air energy storage

Taiheng¹,

Zhang²,

Zhao³

2022

Preprint

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The combined systems of solid oxide fuel cell-gas turbine (SOFC-GT) can operate with high efficiency and low carbon emissions. However, air compressors power consumption of SOFC-GT is big. In this study, a novel hybrid system integrated SOFC-GT with compressed air energy storage (CAES) is proposed. For the integrated system, the energy efficiency is improved in comparison to traditional SOFC-GT due to no air compressors power consumption in the discharging process. In addition, Rankine steam cycle (RSC) is applied to recover waste heat of SOFC-GT exhaust. The new system is simulated in Aspen plus software. The energy and exergy analysis is investigated. Then, the sensitivity analysis is also studied. The results show the cycle efficiency, electrical cycle efficiency and exergy cycle efficiency of new energy storage can reach 75.98%, 60.49% and 60.79%, respectively. Besides, SOFC has the largest exergy destruction of all components. In conclusion, the new system can provide theoretical guidance for efficient energy utilization.

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Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems

Cited by 203 publications

References 56 publications

Optimization of microenergy grid including adiabatic compressed air energy storage by considering uncertainty of intermittent parameters

Optimization of microenergy grid including adiabatic compressed air energy storage by considering uncertainty of intermittent parameters

Compressed Air Energy Storage Capacity Configuration and Economic Evaluation Considering the Uncertainty of Wind Energy

Thermodynamic analysis of a new hybrid system combined heat and power integrated solid oxide fuel cell, gas turbine, Rankine steam cycle with compressed air energy storage

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