Thermodynamic evaluation and multi-objective optimization of molten carbonate fuel cell-supercritical CO 2 Brayton cycle hybrid system

Jokar, Mohammad; Ahmadi, Mohammad Hossein; Sharifpur, Mohsen; Meyer, Josua P.; Pourfayaz, Fathollah; Ming, Tingzhen

doi:10.1016/j.enconman.2017.10.027

Cited by 79 publications

(19 citation statements)

References 117 publications

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“…Optimization is carried in various studies on the several cycles and system to achieve the most favorable working conditions. 62–68 There are various approaches in optimization. 69–71 In this section, single objective optimization is conducted.…”

Section: Resultsmentioning

confidence: 99%

Exergoeconomic comparison and optimization of organic Rankine cycle, trilateral Rankine cycle and transcritical carbon dioxide cycle for heat recovery of low-temperature geothermal water

Noroozian

Naeimi

Bidi

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part A:

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Depleting fossil fuel resources and the horrible environmental impacts due to burning fossil fuels emphasize the importance of using renewable energy resources such as geothermal and solar energies. This paper compares performance of CO2 transcritical cycle, organic Rankine cycle, and trilateral Rankine cycle using a low-temperature geothermal heat source. Thermodynamic analysis, exergetic analysis, economic analysis, and exergoeconomic analysis are applied for each of the aforementioned cycles. In addition, a sensitivity analysis is performed on the system, and the effects of geothermal heat source temperature, evaporator pinch point temperature, and turbine inlet pressure on the cycle's performance are evaluated. Finally, the systems are optimized in order to minimize product cost ratio and maximize exergetic efficiency by using the genetic algorithm. Results indicate that the maximum thermal efficiency is approximately 13.03% which belongs to organic Rankine cycle with R123 as working fluid. CO2 cycle has the maximum exergetic efficiency, equals to 46.13%. The minimum product cost ratio refers to the organic Rankine cycle with R245fa as working fluid. Moreover, sensitivity analysis shows that increasing geothermal heat source temperature results in higher output power, product cost ratio, and exergy destruction ratio in all cycles.

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Section: Resultsmentioning

confidence: 99%

Exergoeconomic comparison and optimization of organic Rankine cycle, trilateral Rankine cycle and transcritical carbon dioxide cycle for heat recovery of low-temperature geothermal water

Noroozian

Naeimi

Bidi

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part A:

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“…Three decision variables are used for this optimization. Table lists these variables and their ranges which are determined by the suggestions provided in the literature . They include the current density ( j ) which is the most important controllable variable of the FC, working temperature of the MCFC ( T ), which is the maximum temperature of the hybrid cycle, and the thermal conductance between the working substance and the heat reservoirs at temperatures T l and T ( θ ).…”

Section: Resultsmentioning

confidence: 99%

Multi‐objective performance optimization of irreversible molten carbonate fuel cell–Stirling heat engine–reverse osmosis and thermodynamic assessment with ecological objective approach

Ahmadi

Sameti

Pourkiaei

et al. 2018

Energy Science & Engineering

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This paper aims to investigate a hybrid cycle consisting of a molten carbonate fuel cell (FC) and a Stirling engine which, by connecting to a seawater reverse osmosis desalination unit, provides fresh water. First, a parametric evaluation is performed to study the effect of some key parameters, including the current density and the working temperature of the FC and the thermal conductance between the working substance and the heat reservoirs in the Stirling engine, on the objective functions. The objective functions include the energy efficiency, the exergy destruction rate density, the fresh water production rate, and the ecological function density. After investigating each double combination of these objective functions, two scenarios are defined in quest to concurrently optimize three functions together. The first scenario aims to optimize the energy efficiency, the exergy destruction rate density, and the fresh water production rate; and the second scenario attempts to optimize the energy efficiency, the fresh water production rate, and the ecological function density. A multi‐objective evolutionary algorithm joined with the nondominated sorting genetic algorithm (NSGA‐II) approach is employed to obtain Pareto fronts in each case scenario. In order to ascertain final solutions between Pareto fronts, three fast and robust decision‐making methods are employed including TOPSIS, LINMAP, and Fuzzy. Finally, a sensitivity analysis is conducted to critically analyze the performance of the system.

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“…Several studies have been conducted on thermodynamic cycles in order to obtain more favorable working conditions . In addition to fluid dynamic aspects, Brayton cycles are optimized based on thermodynamic of the cycle by applying several algorithms . Li et al conducted multi‐objective optimization of a Brayton cycle thermodynamically.…”

Section: Brayton Cyclesmentioning

confidence: 99%

“…[73][74][75] In addition to fluid dynamic aspects, Brayton cycles are optimized based on thermodynamic of the cycle by applying several algorithms. 76,77 Li et al 78 conducted multiobjective optimization of a Brayton cycle thermodynamically.…”

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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Thermodynamic evaluation and multi-objective optimization of molten carbonate fuel cell-supercritical CO 2 Brayton cycle hybrid system

Cited by 79 publications

References 117 publications

Exergoeconomic comparison and optimization of organic Rankine cycle, trilateral Rankine cycle and transcritical carbon dioxide cycle for heat recovery of low-temperature geothermal water

Exergoeconomic comparison and optimization of organic Rankine cycle, trilateral Rankine cycle and transcritical carbon dioxide cycle for heat recovery of low-temperature geothermal water

Multi‐objective performance optimization of irreversible molten carbonate fuel cell–Stirling heat engine–reverse osmosis and thermodynamic assessment with ecological objective approach

A review on solar‐assisted gas turbines

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