Multi-objective optimization of a multi-step solar-driven Brayton plant

Orgaz, Susana Sánchez; Pedemonte, Martín; Ezzatti, Pablo; Curto-Risso, P.L.; Medina, A.; Hernández, A. Calvo

doi:10.1016/j.enconman.2015.04.077

Cited by 41 publications

(22 citation statements)

References 38 publications

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“…Since there are no configurations fulfilling altogether the maximization of efficiency, power, , and entropy minimization, a compromise in the optimization of these quantities should be tackled by means of a multiobjective optimization. This involves the simultaneous maximization or minimization of a number of objective functions [79,80] to obtain the socalled Pareto front, which gives the best compromise among desirable quantities and where a further improvement in one function involves the degrading of the rest.…”

Section: B the Best Energetic Performance: The Pareto Frontmentioning

confidence: 99%

“…Consider the vector (η, P, σ , ) (the thermodynamic space), the Pareto optimal set comprise the points (α, t )'s (the phase space) for which none of the objectives can be improved without degrading any of the others [79,80], this is known as dominance. The algorithm introduced here is the following:…”

Section: B the Best Energetic Performance: The Pareto Frontmentioning

confidence: 99%

“…(iii) With this set of points a provisional Pareto optimal set is found by means of a sorting algorithm based in the concept of dominance [79,80].…”

Section: B the Best Energetic Performance: The Pareto Frontmentioning

confidence: 99%

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Optimization induced by stability and the role of limited control near a steady state

et al. 2019

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A relationship between stability and self-optimization is found for weakly dissipative heat devices. The effect of limited control on operation variables around an steady state is such that, after instabilities, the paths toward relaxation are given by trajectories stemming from restitution forces which improve the system thermodynamic performance (power output, efficiency, and entropy generation). Statistics over random trajectories for many cycles shows this behavior as well. Two types of dynamics are analyzed, one where an stability basin appears and another one where the system is globally stable. Under both dynamics there is an induced trend in the control variables space due to stability. In the energetic space this behavior translates into a preference for better thermodynamic states, and thus stability could favor self-optimization under limited control. This is analyzed from the multiobjective optimization perspective. As a result, the statistical behavior of the system is strongly influenced by the Pareto front (the set of points with the best compromise between several objective functions) and the stability basin. Additionally, endoreversible and irreversible behaviors appear as very relevant limits: The first one is an upper bound in energetic performance, connected with the Pareto front, and the second one represents an attractor for the stochastic trajectories.

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Section: B the Best Energetic Performance: The Pareto Frontmentioning

confidence: 99%

Section: B the Best Energetic Performance: The Pareto Frontmentioning

confidence: 99%

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Optimization induced by stability and the role of limited control near a steady state

et al. 2019

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“…Results indicated high dependency of optimal solution on the temperature of absorber, water as coolant and operating fluid, and the effectiveness of the regenerator . Another thermodynamic analysis was conducted by Oragz et al on solar‐driven Brayton plant. In the study, all the real losses observed in the plant and the losses related to the solar system were considered in order to achieve more realistic optimization.…”

Section: Brayton Cyclesmentioning

confidence: 99%

A review on solar‐assisted gas turbines

Ahmadi

Nazari

Ghasempour

et al. 2018

Energy Science & Engineering

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The thermal energy of the sun can be used for electricity generation. Solar thermal energy can be applied with fossil fuels or independently in order to reduce the cost of generated electricity and CO2 emission. Several cycles are introduced to extract solar thermal energy to be used in power plants. Brayton cycles, Rankine‐Brayton cycles, and supercritical Brayton cycles are among the most conventional ones. Based on the reviewed researches, using solar energy in addition to fossil fuels results in lower carbon dioxide emission and lower levelized cost of the generated electricity. Moreover, thermodynamic and economic analyses of the cycles revealed that heat recovery leads to higher efficiency while increase capital cost. The efficiency of solar‐assisted gas turbines depend on various parameters including pressure ratio, turbine inlet temperature, heat absorber geometry and the performance of the components. The enhancement in the efficiency of the cycles by applying each method depends on the configuration, operating condition. For instance, results have shown that 10% increase in turbine efficiency can led to 6%‐12% improvement in the efficiency of a closed‐Brayton cycle.

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“…The relevance of heat devices optimization and the searching for global properties of energy converters is increasing due to a growing need of energetic requirements; not only for a better use of available energy, but also for maintenance cost, operation life-time, scale related control issues, etc. All these problems involve entropy production (∆S), heat waste, power output (P) and efficiency η [1,2]. Along with maximum power and maximum efficiency or minimum entropy production, compromise based figures of merit have been found very valuable in the optimization analysis of heat devices [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Optimization and Stability of Heat Engines: The Role of Entropy Evolution

González-Ayala

Santillán

Sánchez

et al. 2018

Entropy

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Local stability of maximum power and maximum compromise (Omega) operation regimes dynamic evolution for a low-dissipation heat engine is analyzed. The thermodynamic behavior of trajectories to the stationary state, after perturbing the operation regime, display a trade-off between stability, entropy production, efficiency and power output. This allows considering stability and optimization as connected pieces of a single phenomenon. Trajectories inside the basin of attraction display the smallest entropy drops. Additionally, it was found that time constraints, related with irreversible and endoreversible behaviors, influence the thermodynamic evolution of relaxation trajectories. The behavior of the evolution in terms of the symmetries of the model and the applied thermal gradients was analyzed.

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Multi-objective optimization of a multi-step solar-driven Brayton plant

Cited by 41 publications

References 38 publications

Optimization induced by stability and the role of limited control near a steady state

Optimization induced by stability and the role of limited control near a steady state

A review on solar‐assisted gas turbines

Optimization and Stability of Heat Engines: The Role of Entropy Evolution

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