Optimal design of a nuclear power plant condenser control system based on multi-objective optimization algorithm

Chen, Zhi; Li, Yiliang; Ke, Huang; Xiao, Kai

doi:10.2298/ntrp2002095z

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…The nuclear power plant condenser control system consists of a pressure monitoring system, a condensate water cooling degree control system and a water level control system. [9] presents a condenser control optimization method based on a multipurpose optimization algorithm. This method allows to obtain high-quality control parameters, but does not allow to evaluate the state of the condenser and its effect on the generation of electricity.…”

Section: On the Principle Of «Block-modular» Design Developed By Pjsc «Turboatom» And The Characteristics Of The Condenser Provided By Thmentioning

confidence: 99%

Determination of the electrical power increase at the generator terminals of a nuclear power plant unit at different condenser states

Bratkovska

Liush

2021

EEJET

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It is shown that the technical condition of condensing devices of steam turbines largely determines the amount of electricity losses, reliable and economical operation of NPP units. Analysis of the heat transfer process in the condenser showed that the main causes of load reduction are determined by rising cooling water temperature and deviation of steam pressure from normal value. It is shown that among diagnostic parameters except leakage volumes there must be an assessment of contamination of the heat transfer surface which significantly affects the reduction of electricity generation. The modernization main points of the condenser of the Zaporizhzhya NPP power unit No. 3 on the principle of "block-modular" design developed by PJSC "Turboatom" and the characteristics of the condenser provided by the new design are considered. To reflect the real mode of operation of the condensing unit, it is proposed to model the contamination of the heat exchange surface and the presence of leakages in the condenser space using the method of thermal calculation of the condenser by iterative methods. It was found that reducing the increase in electricity generation as a result of the effects of the study factors can partially or even completely absorb the effect of upgrading the condenser plant. It will provide a significant increase in electricity generation with relatively low capital investment compared to construction of new NPP power units and improve the accuracy of power generation forecasts.

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Section: On the Principle Of «Block-modular» Design Developed By Pjsc «Turboatom» And The Characteristics Of The Condenser Provided By Thmentioning

confidence: 99%

Determination of the electrical power increase at the generator terminals of a nuclear power plant unit at different condenser states

Bratkovska

Liush

2021

EEJET

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Study on thermal cycle efficiency improvement of secondary-loop in nuclear power plants based on dual-region topology optimization

Qu,

Pan,

et al. 2024

International Communications in Heat and Mass Transfer

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Optimization method of building energy efficiency design based on decomposition multi objective and agent assisted model

Bai,

Yang

2024

Sust. Build.

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In today's global climate crisis, energy-efficient building design is crucial for achieving energy efficiency, environmental sustainability, and resident well-being. However, traditional architectural design is difficult to solve complex multi-objective and multivariate optimization problems. To overcome these challenges, this study proposes a solution: a strategy that combines decomposed multi-objective and agent assisted modeling. The proposed method decomposes complex architectural design problems into multiple manageable sub problems, with each sub problem optimized for a specific design objective. This method effectively simplifies the problem structure, allowing each subproblem to explore its solution space more focused and in-depth. Meanwhile, by combining proxy assisted modeling and utilizing proxy models to approximate actual physical processes or performance evaluations, the computational cost is reduced and the optimization process is accelerated. This study indicates that the improved multi-objective backbone particle swarm optimization algorithm relies on adaptive perturbation factors, with an average measured super volume of 29311 for one bedroom buildings and 49504 for three bedroom buildings. For the same building type, the average volume measurements of the multi-objective particle swarm optimization algorithm assisted by the decomposed surrogate model are 21153 and 40230, respectively. The proposed method effectively addresses complex multi-objective optimization problems in the field of building energy efficiency design, simplifies the problem structure, reduces computational costs through surrogate models, accelerates the optimization process, improves energy efficiency, and can support building construction to better cope with the challenges of climate change.

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Optimal design of a nuclear power plant condenser control system based on multi-objective optimization algorithm

Cited by 4 publications

References 5 publications

Determination of the electrical power increase at the generator terminals of a nuclear power plant unit at different condenser states

Determination of the electrical power increase at the generator terminals of a nuclear power plant unit at different condenser states

Study on thermal cycle efficiency improvement of secondary-loop in nuclear power plants based on dual-region topology optimization

Optimization method of building energy efficiency design based on decomposition multi objective and agent assisted model

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