Systematic analysis and multi-objective optimization of integrated power generation cycle for a thermal power plant using Genetic algorithm

Entezari, Ashkan; Bahari, Mehran; Aslani, Alireza; Ghahremani, Sheida; Pourfayaz, Fathollah

doi:10.1016/j.enconman.2021.114309

Cited by 30 publications

(5 citation statements)

References 62 publications

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“…Other references have also utilized optimization algorithms including genetic algorithm (GA) on this topic. In [28] a multi-objective optimization problem in an integrated power generation system in the presence of taxes was solved using GA. The results indicated that this algorithm has successfully converged the problem.…”

Section: Table I Classification Of Reviewed Papersmentioning

confidence: 99%

An Investigation of Optimized Carbon Tax-Subsidy Mechanism to Enhance Power System Sustainability Considering Wind Power Penetration

Shafaghatian,

Hadi Hosseini,

Noroozian

2024

IEEE Access

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In addressing current sustainability challenges, it is crucial to reduce CO2 emissions from power systems. An economic approach is to devise a solution for increasing the penetration of renewable energy sources. This can be achieved by implementing taxes on CO2 emissions from fossil fuel power plants (FFPP). However, it is important to carefully design this tax to ensure that sustainability is not compromised. For instance incorrect tax amounts and implementation methods can result in an excessive increase in energy prices and a reduction in consumption. This paper proposes the power system sustainability index (PSSI), which incorporates economic, social and environmental aspects to obtain optimal tax. Furthermore, tax revenue is allocated as a subsidy to wind power plants (WPP). The mutual effects of taxation, prices and subsidies create a loop, wherein the amount paid as a subsidy and received as tax converge in an optimized cycle. Thus, the proposed optimized carbon tax-subsidy mechanism (OCTSM) has two key characteristics: it increases the PSSI optimally and ensures equivalence between the amounts paid and received. The effectiveness of the developed strategy was evaluated on the modified IEEE 24-bus test system with penetration of WPP along with power production uncertainties. The results indicate that an optimized tax system leads to a higher PSSI. Furthermore, as the total installed capacity of WPP increases, the impact of the tax on improving the PSSI becomes even more significant. However, there is a limit to the capacity expansion, beyond which the effect on the PSSI diminishes.

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Section: Table I Classification Of Reviewed Papersmentioning

confidence: 99%

An Investigation of Optimized Carbon Tax-Subsidy Mechanism to Enhance Power System Sustainability Considering Wind Power Penetration

Shafaghatian,

Hadi Hosseini,

Noroozian

2024

IEEE Access

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“…With the assumption that the two objectives are to be minimized, the best (or the lowest) objective 1 (or

F_{1}

) belongs to solution “A” and the best (or the lowest) objective 2 (or

F_{2}

) belongs to solution “B.” Also, the solutions on the dashed line (including solutions “A” and “B”) are the superior solutions (called Pareto Front solutions). [ 59,60 ] The imaginary ideal solution (which does not actually exist) is made by combining the best characteristics of solutions “A” and “B”, as shown in Figure 6. The solution with the lowest distance from the imaginary ideal solution is chosen as the best trade‐off solution.…”

Section: Problem Definition and Decision‐making Approachmentioning

confidence: 99%

“…Also, the solutions on the dashed line (including solutions "A" and "B") are the superior solutions (called Pareto Front solutions). [59,60] The imaginary ideal solution (which does not actually exist) is made by combining the best characteristics of solutions "A" and "B", as shown in Figure 6. The solution with the lowest distance from the imaginary ideal solution is chosen as the best trade-off solution.…”

Section: Decision-making Approachmentioning

confidence: 99%

Optimal Heat‐Up Planning of a Solid Oxide Fuel Cell with and without Hot Air Recycling by Considering Energy, Time, and Temperature Gradient

Hami

Mahmoudimehr

2023

Energy Tech

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A solid oxide fuel cell (SOFC) needs to be heated to a high temperature to be able to start generating electricity. This study aims to manage the heat-up process of a SOFC by considering the three objectives of time duration, energy consumption, and temperature gradient, simultaneously. Mass flow rate (MFR) and rate of temperature rise (RTR) of the hot air, passing through the cathode channel of the SOFC, are considered as decision variables. The transient heatup process is numerically simulated for six different MFR values (5-50 mg s À1 ) and six different RTR values (0.1-5 K s À1 ). The results indicate that higher RTR leads to lower heat-up duration, lower energy consumption, but higher temperature gradient. Also, higher MFR results in lower heat-up duration, lower temperature gradient, but higher energy consumption. The results also reveal that hot air recycling increases thermal efficiency from below 40% to nearly 100%. Finally, when hot air recycling is employed and all the objectives are considered simultaneously, the heat-up plan with a RTR of 0.5 K s À1 and a MFR of 50 mg s À1 is selected as the best choice by using linear programming technique for multidimensional analysis of preference.

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“…Due to its proven capability to optimize several conflicting objectives simultaneously, NSGA-II has been widely used in solving various real-world optimization problems [51,52]. In the current optimization, NSGA-II has also been chosen to optimize the SCO 2 cycles for next-generation SPT plants.…”

Section: Optimization Approachmentioning

confidence: 99%

Triple-Objective Optimization of SCO2 Brayton Cycles for Next-Generation Solar Power Tower

Qiu

2023

Energies

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In this paper, the SCO2 Brayton regenerative and recompression cycles are studied and optimized for a next-generation solar power tower under a maximum cycle temperature of over 700 °C. First, a steady-state thermodynamic model is developed and validated, and the impacts of different operating parameters on three critical performance indexes, including the cycle thermal efficiency, specific work, and heat storage temperature difference, are analyzed. The results reveal that these performance indexes are influenced by the operating pressures, the SCO2 split ratio, and the effectiveness of the regenerators in complex ways. Subsequently, considering the three performance indexes as the optimization objectives, a triple-objective optimization is carried out to determine the optimal operating variables with the aim of obtaining Pareto solutions for both cycles. The optimization indicates that the regenerative cycle can achieve the maximum heat storage temperature difference and the maximum specific work of 396.4 °C and 180.6 kW·kg−1, respectively, while the recompression cycle can reach the maximum thermal efficiency of 55.95%. Moreover, the optimized maximum and minimum pressure values of both cycles are found to be around 30 MPa and 8.2 MPa, respectively. Additionally, the distributions of the optimized values of the regenerator effectiveness and the SCO2 split ratio show different influences on the performance of the cycles. Therefore, different cycles with different optimized variables should be considered to achieve specific cycle performance. When considering thermal efficiency as the most important performance index, the recompression cycle should be adopted. Meanwhile, its SCO2 split ratio and the regenerator effectiveness should be close to 0.7 and 0.95, respectively. When considering heat storage temperature difference or specific work as the most important performance index, the regenerative cycle should be adopted. Meanwhile, its regenerator effectiveness should be close to 0.75. The results from this study will be helpful for the optimization of superior SCO2 cycles for next-generation solar tower plants.

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Systematic analysis and multi-objective optimization of integrated power generation cycle for a thermal power plant using Genetic algorithm

Cited by 30 publications

References 62 publications

An Investigation of Optimized Carbon Tax-Subsidy Mechanism to Enhance Power System Sustainability Considering Wind Power Penetration

An Investigation of Optimized Carbon Tax-Subsidy Mechanism to Enhance Power System Sustainability Considering Wind Power Penetration

Optimal Heat‐Up Planning of a Solid Oxide Fuel Cell with and without Hot Air Recycling by Considering Energy, Time, and Temperature Gradient

Triple-Objective Optimization of SCO2 Brayton Cycles for Next-Generation Solar Power Tower

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