Thermodynamic optimisation of solar thermal Brayton cycle models and heat exchangers using particle swarm algorithm

Oyewola, Olanrewaju M.; Petinrin, Moses Omolayo; Labiran, M.J.; Bello‐Ochende, Tunde

doi:10.1016/j.asej.2022.101951

Cited by 6 publications

(3 citation statements)

References 28 publications

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“…For example, it has been used to optimize generation scheduling in hybrid renewable energy systems, reducing operational costs [33]. It has also excelled in the optimization of Brayton cycles with solar technologies and dual regenerative systems, effectively achieving irreversibility minimization [36]. In other areas, such as sEMG signal detection and the identification of optimal parameter sets for solar water heaters, PSO has demonstrated precision and effectiveness [37,38].…”

Section: Optimization Techniquementioning

confidence: 99%

“…In various studies, Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) have proven their effectiveness [30][31][32][33][34][35][36][37][38][39][40]. However, PSO stands out in engineering and sciences due to its adaptability, simple structure, fast convergence, ease of implementation, and having fewer parameters, positioning it as a versatile algorithm with superior performance compared to other heuristic algorithms [31,32,34,35].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Ampacity in High-Voltage Underground Cables with Thermal Backfill Using Dynamic PSO and Adaptive Strategies

Atoccsa,

Puma,

Mendoza

et al. 2024

Energies

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This article addresses challenges in the design of underground high-voltage transmission lines, focusing on thermal management and cable ampacity determination. It introduces an innovative proposal that adjusts the dimensions of the backfill to enhance ampacity, contrasting with the conventional approach of increasing the core cable’s cross-sectional area. The methodology employs a particle swarm optimization (PSO) technique with adaptive penalization and restart strategies, implemented in MATLAB for parameter autoadaptation. The article emphasizes more efficient solutions than traditional PSO, showcasing improved convergence and precise results (success probability of 66.1%). While traditional PSO is 81% faster, the proposed PSO stands out for its accuracy. The inclusion of thermal backfill results in an 18.45% increase in cable ampacity, considering variations in soil thermal resistivity, backfill properties, and ambient temperature. Additionally, a sensitivity analysis was conducted, revealing conservative values that support the proposal’s robustness. This approach emerges as a crucial tool for underground installation, contributing to continuous ampacity improvement and highlighting its impact on decision making in energy systems.

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Section: Optimization Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of Ampacity in High-Voltage Underground Cables with Thermal Backfill Using Dynamic PSO and Adaptive Strategies

Atoccsa,

Puma,

Mendoza

et al. 2024

Energies

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show abstract

“…It can be based on the dynamic structure of known data samples, fully consider the relevant characteristics of variables within the value range and analyze the trends and dynamics of known data samples. A good fit for nonlinear problems between the response variable and the design variable [14,15]. The Kriging model includes both regression and a nonparametric part.…”

Section: Kriging Modelmentioning

confidence: 99%

Hydrodynamic Characteristic Analysis and NSGA-II Optimization of a Vacuum Fish Pump

Hong

Zhu

Zhang

et al. 2023

JMSE

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The fish pump is an important piece of power equipment for aquaculture, especially for deep-sea engineering vessels and cage culture. Fish pump research focuses on reducing fish body damage, improving survival rates, and increasing fish lifting efficiency. The research object in this paper is a new type of vacuum fish pump, with the aim of improving the hydraulic performance of the vacuum fish pump and reducing the damage to the fish body. The dependent variables include the dynamic change process of the flow state and flow field under diachronic conditions, the fluid simulation analysis of the vacuum pump body and the flow channel structure, the inlet flow rate of the fish pump, the negative pressure of the pipeline, and the impact force of the water flow on the inner wall of the tank. The independent variables include the operating conditions of the pump body and the fish pump. The Latin hypercube sampling method is used to extract 167 sets of calculation models for the independent variables, and multi-objective optimization is performed based on the NSGA-II algorithm for the hydrodynamic performance of the fish pump. On the basis of ensuring the fish body damage rate, the structural parameters of the vacuum fish pump with the optimal hydrodynamic performance under 167 sets of parameter values were obtained. The optimized parameters were then entered into the solver again, and the results showed that, in the optimal structural parameters under certain conditions, the direction of the incident water flow in the vacuum fish pump tank is close to the upper end of the tank body, which will reduce the speed of the fish-water mixed flow when entering the tank, thereby reducing the collision damage to the fish body. Currently, the water flow velocity at the water inlet is about 2.5 m/s, and the negative pressure value distribution gradient between the tank body and the water inlet pipeline is quite consistent, which can achieve good fish suction and fish lifting effects.

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Design of Particle Swarm Optimized Fuzzy PID Controller and Its Application in Superheat Degree Control

Zhao,

Ma,

Sun

et al. 2023

Communications in Computer and Information Science

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Thermodynamic optimisation of solar thermal Brayton cycle models and heat exchangers using particle swarm algorithm

Cited by 6 publications

References 28 publications

Optimization of Ampacity in High-Voltage Underground Cables with Thermal Backfill Using Dynamic PSO and Adaptive Strategies

Optimization of Ampacity in High-Voltage Underground Cables with Thermal Backfill Using Dynamic PSO and Adaptive Strategies

Hydrodynamic Characteristic Analysis and NSGA-II Optimization of a Vacuum Fish Pump

Design of Particle Swarm Optimized Fuzzy PID Controller and Its Application in Superheat Degree Control

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