Thermodynamic study on a combined heat and compressed air energy storage system with a dual-pressure organic Rankine cycle

Liu, Zhan; Yang, Xuqing; Jia, Wenguang; Li, Hailong; Hooman, Kamel; Yang, Xiaohu

doi:10.1016/j.enconman.2020.113141

Cited by 33 publications

(3 citation statements)

References 39 publications

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“…To further improve the cycle efficiency of the AA‐CAES system, various hybrid CAES systems have been proposed in recent years. Liu et al [ 20 ] proposed a novel hybrid energy storage system termed as CH‐CAES‐dORC and they found that its round trip efficiency reaches 47.41%. Zhao et al [ 21 ] researched a hybrid system consisting of AA‐CAES and flywheel energy storage system.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic Analysis of a Hybrid Electrical Energy Storage System Integrating High‐Temperature Thermal Energy Storage and Compressed Air Energy Storage for Mitigating Renewable Energy Curtailment

Cao

Cong

2021

Energy Tech

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Compressed air energy storage (CAES) system can smooth out the fluctuated power from renewable energy and allow it to meet electricity demands reliably. It further enables the mitigation of renewable energy curtailment. A hybrid energy storage system integrating high‐temperature thermal energy storage (HTTES) and CAES is proposed. In the energy charging process, the high‐ and low‐quality power from renewable energy are stored separately in the air storage reservoir (ASR) and HTTES system. In the energy discharging process, the compressed air is heated to high temperature in the HTTES system and finally expands in air turbines for electricity generation. Thermodynamic analysis reveals that a round trip efficiency of 64.36% with an energy storage density of 5.38 kWh m−3 can be achieved. It is found that the proposed hybrid system has the beneficial effect of improving the system performance. The largest exergy destruction takes place in the HTTES system. The round trip efficiency is mostly sensitive to the output temperature of HTTES, the isentropic efficiency of compressors and turbines, and the maximum and minimum operating pressures of ASR.

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Section: Introductionmentioning

confidence: 99%

Thermodynamic Analysis of a Hybrid Electrical Energy Storage System Integrating High‐Temperature Thermal Energy Storage and Compressed Air Energy Storage for Mitigating Renewable Energy Curtailment

Cao

Cong

2021

Energy Tech

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“…Some other completed studies cover experimental and theoretical applications of ORC along with its viable utilization in different type of hybrid power generation systems [5][6][7]. Besides, more and more studies about the ORC systems are finding their places in the literature every day [8][9][10]. Haghparast et al [2] have investigated the impact of ejector geometry and power output capacity on cycle performance.…”

Section: Introductionmentioning

confidence: 99%

“…The results have shown that the overall system fuel consumption can be lowered by 0.52-1.45 g/kWh by allowing higher backpressure levels on the engine. Liu et al [10] have analyzed the performances of single-and dual-pressure ORCs with combined heat and compressed air energy storage modifications. The authors have developed thermodynamic models of the mentioned cycles and compared the performances of the cycles with each other.…”

Section: Introductionmentioning

confidence: 99%

An oppositional Salp Swarm: Jaya algorithm for thermal design optimization of an Organic Rankine Cycle

Turgut

2021

SN Appl. Sci.

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This study proposes a hybrid metaheuristic algorithm to tackle both single and multi objective optimization problems that are subjected to hard constraints. Twenty-four single objective optimization benchmark problems comprising unimodal and multi modal test functions have been solved by the proposed hybrid algorithm (OPSSAJ) and numerical results have been compared with those acquired by some of the new emerged metaheuristic optimizers. The proposed OPSSAJ shows a significant accuracy and robustness in most of the cases and proves its efficiency in solving high dimensional problems. As a real-world case study, seventeen operational design parameters of an organic rankine cycle (ORC) operating with a binary mixture of R227EA and R600 refrigerants are optimized by the proposed hybrid OPSSAJ to obtain the optimum values of contradicting dual objectives of second law efficiency and Specific Investment Cost. A Pareto curve composed of non-dominated solutions is constructed through the weighted sum method and the final solution is chosen by the reputed TOPSIS decision-maker. The pareto curve and best-compromising result obtained by utilizing the OPPSAJ are compared with that of acquired by using nondominated sorting genetic algorithm II (NSGA-II) and multiple objective particle swarm optimization (MOPSO) algorithms. The multi-objective ORC design obtained with the OPSSAJ yields a significant improvement in thermal efficiency and cost values compared to designs found by the NSGA-II and MOPSO algorithms. Furthermore, a sensitivity analysis is performed to observe the influences of the selected design variables on problem objectives.

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Exergoeconomic analysis and multi‐objective whale optimization of an integrated solid oxide fuel cell and energy storage system using liquefied natural gas cold energy

Pan

Binama

et al. 2022

Intl J of Energy Research

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Summary A multigeneration system comprising solid oxide fuel cell, compressed air energy storage, gas turbine, supercritical CO2 recompression Brayton cycle (S‐CO2), and organic flash Rankine cycle (OFRC) based on liquefied natural gas cold energy is proposed. The system integrates peak shaving, heating, cooling, power generation, and energy storage, solving the imbalance between the supply and demand of renewable energy. It is comprehensively analyzed from the thermodynamic, economic, and exergoeconomic perspectives to evaluate the performance of the three phases (full time, charging period, and discharging period). The evaluation shows that the exergy analysis of the multigeneration system alone is not comprehensive, and the exergoeconomic analysis is more necessary. Additionally, the S‐CO2 coupled with the OFRC generates power in a more efficient way than the S‐CO2 coupled with the Organic Rankine cycle (ORC) or Organic Flash cycle (OFC) does. Finally, the NSGA‐II and multi‐objective whale algorithms are employed to optimize the system. The results show that the multi‐objective whale algorithm is slightly better than the NSGA‐II. Moreover, the optimized round‐trip efficiency (RTE) and levelized cost of electricity (LCOE) are 68.64% and 0.053 $ kWh−1, respectively. Compared with the base design point, the RTE improves by 1.93%, and the LCOE decreases by 3.64%.

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Thermodynamic study on a combined heat and compressed air energy storage system with a dual-pressure organic Rankine cycle

Cited by 33 publications

References 39 publications

Thermodynamic Analysis of a Hybrid Electrical Energy Storage System Integrating High‐Temperature Thermal Energy Storage and Compressed Air Energy Storage for Mitigating Renewable Energy Curtailment

Thermodynamic Analysis of a Hybrid Electrical Energy Storage System Integrating High‐Temperature Thermal Energy Storage and Compressed Air Energy Storage for Mitigating Renewable Energy Curtailment

An oppositional Salp Swarm: Jaya algorithm for thermal design optimization of an Organic Rankine Cycle

Exergoeconomic analysis and multi‐objective whale optimization of an integrated solid oxide fuel cell and energy storage system using liquefied natural gas cold energy

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