Investigation of two concrete thermal energy storage system configurations for continuous power production

Mikkelson, Daniel; Doster, J. Michael

doi:10.1016/j.est.2022.104387

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…Concrete, due to its ease of handling, low cost, and global availability of raw materials, is a suitable option for solid-state storage. Research attention has increasingly turned toward the application of concrete in thermal energy storage systems, yielding notable progress in recent years [4][5][6][7][8][9][10][11][12].…”

Section: Background and Introductionmentioning

confidence: 99%

“…Meanwhile, D. Mikkelson and J. M. Doster [10] investigated various concrete TES system configurations, including single-pipe and dual-pipe network designs, with a focus on continuous power production. Investigating the adaptability of concrete-based TES systems for diverse applications, and for batch and continuous energy storage needs.…”

Section: Background and Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Numerical Study of Geopolymer Concrete Thermal Energy Storage: Benchmarking TES Module Design and Optimizing Thermal Performance

Rahjoo

Rojas²,

Goracci

et al. 2023

SSRN Journal

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Section: Background and Introductionmentioning

confidence: 99%

Section: Background and Introductionmentioning

confidence: 99%

A Numerical Study of Geopolymer Concrete Thermal Energy Storage: Benchmarking TES Module Design and Optimizing Thermal Performance

Rahjoo

Rojas²,

Goracci

et al. 2023

SSRN Journal

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“…Finite time thermodynamic (FTT) theory has been widely used in various heat engine cycles and has made great progress [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 ]. In addition to analyzing the power output (

) and efficiency (

) performance of common engines, FTT has also been applied to heat pumps [ 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 ], refrigerators [ 47 , 48 , 49 , 50 , …”

Section: Introductionmentioning

confidence: 99%

Four-Objective Optimization of an Irreversible Magnetohydrodynamic Cycle

Chen

et al. 2022

Entropy

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Based on the existing model of an irreversible magnetohydrodynamic cycle, this paper uses finite time thermodynamic theory and multi-objective genetic algorithm (NSGA-II), introduces heat exchanger thermal conductance distribution and isentropic temperature ratio of working fluid as optimization variables, and takes power output, efficiency, ecological function, and power density as objective functions to carry out multi-objective optimization with different objective function combinations, and contrast optimization results with three decision-making approaches of LINMAP, TOPSIS, and Shannon Entropy. The results indicate that in the condition of constant gas velocity, deviation indexes are 0.1764 acquired by LINMAP and TOPSIS approaches when four-objective optimization is performed, which is less than that (0.1940) of the Shannon Entropy approach and those (0.3560, 0.7693, 0.2599, 0.1940) for four single-objective optimizations of maximum power output, efficiency, ecological function, and power density, respectively. In the condition of constant Mach number, deviation indexes are 0.1767 acquired by LINMAP and TOPSIS when four-objective optimization is performed, which is less than that (0.1950) of the Shannon Entropy approach and those (0.3600, 0.7630, 0.2637, 0.1949) for four single-objective optimizations, respectively. This indicates that the multi-objective optimization result is preferable to any single-objective optimization result.

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“…Since its establishment, the theory of finite time thermodynamics (FTT) [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ] has been applied to research the optimal configurations [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 ] and the optimal performances [ 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 ,…”

Section: Introductionmentioning

confidence: 99%

Four-Objective Optimizations of a Single Resonance Energy Selective Electron Refrigerator

Chen

et al. 2022

Entropy

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According to the established model of a single resonance energy selective electron refrigerator with heat leakage in the previous literature, this paper performs multi-objective optimization with finite-time thermodynamic theory and NSGA-II algorithm. Cooling load (R¯), coefficient of performance (ε), ecological function (ECO¯), and figure of merit (χ¯) of the ESER are taken as objective functions. Energy boundary (E′/kB) and resonance width (ΔE/kB) are regarded as optimization variables and their optimal intervals are obtained. The optimal solutions of quadru-, tri-, bi-, and single-objective optimizations are obtained by selecting the minimum deviation indices with three approaches of TOPSIS, LINMAP, and Shannon Entropy; the smaller the value of deviation index, the better the result. The results show that values of E′/kB and ΔE/kB are closely related to the values of the four optimization objectives; selecting the appropriate values of the system can design the system for optimal performance. The deviation indices are 0.0812 with LINMAP and TOPSIS approaches for four-objective optimization (ECO¯−R¯−ε−χ¯), while the deviation indices are 0.1085, 0.8455, 0.1865, and 0.1780 for four single-objective optimizations of maximum ECO¯, R¯, ε, and χ¯, respectively. Compared with single-objective optimization, four-objective optimization can better take different optimization objectives into account by choosing appropriate decision-making approaches. The optimal values of E′/kB and ΔE/kB range mainly from 12 to 13, and 1.5 to 2.5, respectively, for the four-objective optimization.

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Investigation of two concrete thermal energy storage system configurations for continuous power production

Cited by 8 publications

References 5 publications

A Numerical Study of Geopolymer Concrete Thermal Energy Storage: Benchmarking TES Module Design and Optimizing Thermal Performance

A Numerical Study of Geopolymer Concrete Thermal Energy Storage: Benchmarking TES Module Design and Optimizing Thermal Performance

Four-Objective Optimization of an Irreversible Magnetohydrodynamic Cycle

Four-Objective Optimizations of a Single Resonance Energy Selective Electron Refrigerator

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