Multi-objective optimization of helical coil steam generator in high temperature gas reactors with genetic algorithm and response surface method

Sun, Jinxiang; Zhang, Ruibo; Chen, Yongzheng; Zhang, Jing; Qiu, Suizheng; Tian, Wenxi; Su, Guanghui

doi:10.1016/j.energy.2022.124976

Cited by 31 publications

(6 citation statements)

References 49 publications

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“…It is also employed for designing and simulating safe and effective fuel-loading patterns in nuclear reactors (Zhao et al, 1998). Further, the GA is utilized for designing efficient radiation shielding in SMR (Bagheri and Khalafi, 2023), development of an optimized thermodynamic model in a VVER-1200 reactor (Khan et al, 2022), optimal energy management in the HTGR (Sun J. et al, 2022), optimization of fuel loading pattern in the experimental fast reactor (Lima-Reinaldo and François, 2023), in-core fuel…”

Section: Genetic Algorithmmentioning

confidence: 99%

Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review

Ejigu,

Tuo,

Liu

2024

Front. Nucl. Eng.

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Nuclear power plants produce a massive amount of clean energy and necessitate safe operation through intelligence technologies. Recently, the rapid advancements in communication infrastructures including artificial intelligence, big data computing, and Internet of Things devices moving the nuclear industries towards digitalization and intelligence to improve safety. The integration of these technologies into the nuclear sector offers effective tactics in addressing several challenges in the control and safe operation of nuclear power plants. This can be achieved through the insights generated from massive amounts of data. This paper comprehensively reviews the literature on artificial intelligence technologies and big data, seeking to provide a holistic perspective on their relations and how they can be integrated with nuclear power plants. The utilization of computing platforms boosts the deployment of artificial intelligence and big data analytics effectively in nuclear power plants. Further, this review also points out the future opportunities as well as challenges for applying artificial intelligence and big data computing in the nuclear industry.

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Section: Genetic Algorithmmentioning

confidence: 99%

Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review

Ejigu,

Tuo,

Liu

2024

Front. Nucl. Eng.

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“…[163] composed the coolant flow path in detail and improved the original thermal analysis model of HTR-10 built under the THERMIX program. [164] used the finite difference method (FDM) and response surface method (RSM) for thermal modeling to achieve multi-objective optimization of a spiral tube steam generator.…”

Section: B Modelingmentioning

confidence: 99%

“…[179] used the MPC method based on DMC for supervisory control of NSSS to regulate the NSSS thermal power by adjusting the neutron flux, coolant flow rate, and other set values. Some evolutionary computational algorithms, such as genetic algorithms (GA) [164], can be applied for parameter optimization of HTGR.…”

Section: Control Strategymentioning

confidence: 99%

Small Modular Reactors: An Overview of Modeling, Control, Simulation, and Applications

Wang,

Chen,

Zhang

et al. 2024

IEEE Access

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A small modular reactor (SMR) is a nuclear reactor that is characterized by its smaller size and capacity when compared to traditional large-scale nuclear reactors. An SMR is often categorized as having an electrical output of less than 300MW and is built to be more mobile, safe, and extensible to deploy. It has been established that SMRs can provide economic and flexibility advantages in a variety of industries thanks to the development, study, and use of multiple types of SMRs in recent years. The goal of this paper is to present a comprehensive overview of several SMR types, including light water reactors (LWRs), liquid metal-cooled reactors (LMRs), molten salt reactors (MSRs), and gas-cooled reactors (GCRs). Each type of reactor will be reviewed in terms of its structural design, modeling control implementation, applications, and impacts concerning the power system.INDEX TERMS Digital simulation, mathematical modeling, power system control, reactor design, small modular reactors, nuclear power.

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“…Subsequently, Germany successively built two pebble-bed nuclear plants, a 45 MWth test HTGR (AVR) and a 750 MWth HTGR power plant (THTR-300) [8]. THTR-300 utilized a once-though helical coil bundle for its steam generator [10]. The latest HTGRs that utilize a once-through helical coil steam generator are HTR-10 and HTR-PM from China [7][8].…”

Section: Introduction mentioning

confidence: 99%

Design Scenario and Analysis for Preliminary Specification of Steam Generator in the Peluit-40

Riyandwita¹,

Subhan²,

Setiadipura³

et al. 2023

Tri Dasa Mega

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The helical steam generator is connected to an HTGR-type nuclear reactor called PeLUIt-40 for steam production. Steam is used to generate electricity and hydrogen. A once-through helical tube bundle was employed because of its ability to endure mechanical stress due to thermal expansion, high resistance to flow-induced vibrations, and better thermal performance compared to a straight tube one. To produce the targeted steam, a design analysis of the once-through helical steam generator needs to be conducted. A quick evaluation method was used to predict the preliminary specifications required for steam production. Simple thermodynamic calculations combined with empirical heat transfer coefficients covering convective and boiling processes at constant pressure were used to carry out the analysis. Two scenarios were conducted to evaluate the design choice based on the previous design of RDE-10.

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Multi-objective optimization of helical coil steam generator in high temperature gas reactors with genetic algorithm and response surface method

Cited by 31 publications

References 49 publications

Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review

Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review

Small Modular Reactors: An Overview of Modeling, Control, Simulation, and Applications

Design Scenario and Analysis for Preliminary Specification of Steam Generator in the Peluit-40

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