Exergoeconomic and multi-objective optimization of a solar thermochemical hydrogen production plant with heat recovery

Sadeghi, Shayan; Ghandehariun, Samane; Naterer, G.F.

doi:10.1016/j.enconman.2020.113441

Cited by 57 publications

(13 citation statements)

References 47 publications

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“…Considering the service life of 20 years, the prime cost of the product is calculated as 5.795 USD/kg H 2 . Which is less than the price reported by Sayyaadi et al 21 The Levelized cost of the product is found to be 1.482 USD/kg H 2 which is close to Sadeghi et al 22 outcome.…”

Section: Resultssupporting

confidence: 74%

Hydrogen production by thermochemical water splitting cycle using low‐grade solar heat and phase change material energy storage system

Mehrpooya

Ghorbani

Khodaverdi

2022

Intl J of Energy Research

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Summary In this research, a novel integrated system for renewable hydrogen production, power, and hot water from solar thermal energy has been developed and precisely evaluated in terms of thermodynamics. The developed structure is comprised of a four‐step Cu‐Cl thermochemical cycle, and an organic Rankine cycle to generate electricity. The required heat is supplied by a concentrated solar power plant and thermal energy storage based on latent heat. Also, a high‐temperature heat pump is employed to improve the thermal grade of working fluid and provide each unit with sufficient heat. System dynamics simulation has been performed using weather and irradiation input data of Tehran, Iran. The integrated structure has the capability to produce 21.75 kg/h of hydrogen, 563.6 kW of electricity, and 393.3 m3/h of hot water at 70°C. The energy efficiency of the system reaches more than 80% based on higher heating value and the solar‐to‐fuel efficiency has a value of 25.8%. Moreover, an exergy analysis has been executed to determine the fundamental operating parameters of each component and the whole structure. The total exergy efficiency of the integrated structure is 34.23%, and the prime cost of the product is found to be 5.795 USD/kg H2.

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Section: Resultssupporting

confidence: 74%

Hydrogen production by thermochemical water splitting cycle using low‐grade solar heat and phase change material energy storage system

Mehrpooya

Ghorbani

Khodaverdi

2022

Intl J of Energy Research

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“…For the multi‐objective optimization in this study, non‐dominated sorting genetic algorithm‐II (NSGA‐II) is a strong optimization algorithm is utilized to evaluate optimal input design parameters and outputs 54 . The Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP) and The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods are used here to determine the optimal Pareto solution 55 . The exergy efficiency (Equation (17)) and unit product cost (Equation (56)) are the two objectives of optimization in this study.…”

Section: Mathematical Modelingmentioning

confidence: 99%

Design and optimization of a novel wind‐powered liquefied air energy storage system integrated with a supercritical carbon dioxide cycle

et al. 2021

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In this paper, a novel liquefied air energy storage (LAES) system driven by wind energy and natural gas, integrated with a two‐stage supercritical carbon dioxide cycle is proposed and investigated. Three different sensible thermal energy storage (TES) systems are considered in this study to store the heat produced in the compressions stage and use it later to improve the performance. The proposed system is analyzed in terms of energy, exergy, exergo‐economic, and environmental impacts. A detailed economical and technical investigation is carried out to determine system hotspots, exergy destruction rates, and the performance of the system and subsystems. Finally, by considering ten design variables, the nondominated sorting genetic algorithm‐II (NSGA‐II) is employed to evaluate the optimal design solutions for double objective functions, including cost per unit of exergy and overall system exergy efficiency. Results indicate that for a 50 MW of discharging power, 80.75 MW of charging electricity and 1.22 kg/s of fuel are required. Additionally, the product cost per unit of exergy and the levelized costs are calculated as 32.02 $/GJ and 0.133 $/kWh, respectively. The results of the optimization study also show that for the optimal Pareto solution, the energy efficiency would be 52.2% while the exergy efficiency is 45.26%.

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“…From the NSGA-II results, Jain et al found that the MOO was better than single-objective optimization for the optimization of the vapor absorption system . Sadeghi et al utilized NSGA-II for the optimization of the hydrogen production process, and the results stated that the exergy efficiency and the product cost of the optimal solution are 50.1% and $11.94/GJ, respectively . These studies provided the significance of MOO and the reliability of NSGA-II for an energy system…”

Section: Introductionmentioning

confidence: 99%

“…30 Sadeghi et al utilized NSGA-II for the optimization of the hydrogen production process, and the results stated that the exergy efficiency and the product cost of the optimal solution are 50.1% and $11.94/GJ, respectively. 31 These studies provided the significance of MOO and the reliability of NSGA-II for an energy system. 32 In our previous work, 11 a cascade absorption refrigeration/ dehumidification system (CARDS) combining the ARS with the LDS has been proposed to recover the low-grade waste heat.…”

Section: ■ Introductionmentioning

confidence: 99%

Energy, Exergy, and Economic Analysis and Multiobjective Optimization of a Cascade Coupling System Driven by Low-Grade Waste Heat in Hot Summer and Cold Winter Areas of China

Wang

et al. 2021

ACS Sustainable Chem. Eng.

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This work proposes a cascade coupling system to recover low-grade waste heat. The hybrid system performs well in hot summer and cold winter areas of China. The economy, energy, and exergy analysis and multiobjective optimizations are conducted. Nondominated sorting genetic algorithm II is applied to realize the optimization process because of the contradiction between the three objective functions. The Pareto solutions are obtained, and the relationships between two different objectives are analyzed. The final optimal solutions are determined by the technique for order preference by similarity to an ideal solution method and the Shannon entropy method. Four schemes aiming at the maximum coefficient of performance (scheme 1), minimum total annual cost (scheme 2), minimum total exergy destruction (scheme 3), and multiobjective optimization (scheme 4) are studied. The results show that the minimum values of the total annual cost and the total exergy destruction are 57.73 × 10 4 $ and 336.91 kW, respectively. The maximum coefficient of performance is 0.61. The multiobjective optimization solutions achieve a 4.12% higher value than the minimum coefficient of performance, while the total annual cost and the total exergy destruction of solutions are 1.86 and 0.58%, respectively, lower than the maximum values. This work presents a deeper dissection and a multiobjective optimization of the cascade system and provides guidance for the development of low-grade waste heat recovery technologies.

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Exergoeconomic and multi-objective optimization of a solar thermochemical hydrogen production plant with heat recovery

Cited by 57 publications

References 47 publications

Hydrogen production by thermochemical water splitting cycle using low‐grade solar heat and phase change material energy storage system

Hydrogen production by thermochemical water splitting cycle using low‐grade solar heat and phase change material energy storage system

Design and optimization of a novel wind‐powered liquefied air energy storage system integrated with a supercritical carbon dioxide cycle

Energy, Exergy, and Economic Analysis and Multiobjective Optimization of a Cascade Coupling System Driven by Low-Grade Waste Heat in Hot Summer and Cold Winter Areas of China

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