Multi-objective optimization of heat exchanger network with disturbances based on graph theory and decoupling

Zhang, Zixuan; Zhao, Liwen; Tera, Ibrahim; Liu, Guilian

doi:10.1016/j.ces.2024.119763

Chemical Engineering Science

2024

DOI: 10.1016/j.ces.2024.119763

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Multi-objective optimization of heat exchanger network with disturbances based on graph theory and decoupling

Zixuan Zhang,

Liwen Zhao,

Ibrahim Tera

et al.

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Cited by 3 publications

References 70 publications

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Inverse system based decoupling design and control strategy for crude oil heat exchanger networks

Sun,

Wan,

Zhu

et al. 2025

Applied Thermal Engineering

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Inverse system based decoupling design and control strategy for crude oil heat exchanger networks

Sun,

Wan,

Zhu

et al. 2025

Applied Thermal Engineering

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A hybrid algorithm framework for heat exchanger networks synthesis considering the optimal locations of multiple utilities

Yang,

Akram

et al. 2025

Chemical Engineering Science

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Investigation of a Cogeneration System Combining a Solid Oxide Fuel Cell and the Organic Rankine Cycle: Parametric Analysis and Multi-Objective Optimization

Yang,

Liang,

Jin

et al. 2024

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A novel solid oxide fuel cell (SOFC)-based cogeneration system is proposed here, integrating an organic Rankine cycle for waste heat recovery. Technical–economic and parametric analyses are conducted, and a multi-objective optimization is carried out. The results reveal that the net electrical efficiency, investment cost, and payback time are 56.6%, USD 2,408,256, and 3.27 years, respectively. The parametric analysis indicates that the current density should be limited between 0.3 A/cm2 and 0.9 A/cm2, and the stack temperature should be controlled between 675 °C and 875 °C. After the operational optimization of ηele-CostTCI, the investment cost and the net electrical efficiency are obtained as USD 2,164,742 and 62.1%. After the ηele-PBT optimization, the payback period and the net electrical efficiency are 3.22 years and 58.9%. The heat transfer network optimization achieves the highest efficiency and reduces the cold utilities by 43 kW, but three additional heat exchangers should be added to the system. This research provides practical reference and pragmatic guidance for the integration, analysis, operation, and heat transfer network optimization of SOFC-based cogeneration systems.

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Multi-objective optimization of heat exchanger network with disturbances based on graph theory and decoupling

Cited by 3 publications

References 70 publications

Inverse system based decoupling design and control strategy for crude oil heat exchanger networks

Inverse system based decoupling design and control strategy for crude oil heat exchanger networks

A hybrid algorithm framework for heat exchanger networks synthesis considering the optimal locations of multiple utilities

Investigation of a Cogeneration System Combining a Solid Oxide Fuel Cell and the Organic Rankine Cycle: Parametric Analysis and Multi-Objective Optimization

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