Online hydraulic calculation and operation optimization of industrial steam heating networks considering heat dissipation in pipes

Zhong, Weimin; Feng, Hongcui; Wang, Xuguang; Wu, Dingfei; Meng, Xue; Wang, Jian

doi:10.1016/j.energy.2015.05.024

Cited by 26 publications

(2 citation statements)

References 27 publications

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“…Finally, the pressure distribution of the whole network model is solved via iterations. The detailed solving process could be found out in the authors' previous study, where an industrial heating network was used as an example [37].…”

Section: T P mentioning

confidence: 99%

Load Distribution Optimization of Multi-Source District Heating System Based on Fuzzy Analytic Hierarchy Process

et al. 2020

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Section: T P mentioning

confidence: 99%

Load Distribution Optimization of Multi-Source District Heating System Based on Fuzzy Analytic Hierarchy Process

et al. 2020

Self Cite

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“…It is assumed that the steam is superheated and there is no phase transition, and when the steam pipeline exceeds 8 km, condensate may appear, thus affecting the dynamic steam transmission. Zhong et al (2015) [16] developed a hydraulic computational model to study the flow pattern of steam considering heat dissipation and condensate, where the steam density and the friction coefficient are considered as constant. Chen et al (2022) [17] considered condensate loss and heat dissipation and proposed a new simulation method for an electric-steam combined operation system, which improved the accuracy of heat loss calculation, and verified the accuracy of the model through the actual pipeline network.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Coupled Hydraulic–Thermal Characteristics for Energy-Saving Control of Steam Heating Pipeline

Gao,

Zheng,

Wang

et al. 2024

Sustainability

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The steam heating pipeline, as a heat energy delivery method, plays an important role in petrochemical, food processing, and other industrial fields. Research on dynamic hydraulic and thermal calculation methods for steam heating pipelines is the basis for the realization of precise control and efficient operation of steam pipe networks, which is also the key to reducing the energy consumption and carbon emissions of urban heating. In this study, the coupled hydraulic–thermal model of a steam pipeline is established considering the steam state parameter changes and condensate generation, the SIMPLE algorithm is used to realize the model solution, and the accuracy of the model is verified by the actual operation data of a steam heat network. The effects of condensate, environmental temperature, and steam pipeline inlet temperature and pressure changes on the hydraulic and thermal characteristics of the steam pipeline are simulated and analyzed. Results indicate that condensate only has a large effect on the steam outlet temperature and has almost no effect on the outlet pressure. As the heat transfer coefficient of the steam pipeline increases, the effect of both condensate and environmental temperature on the steam outlet temperature increases. The effect of the steam inlet pressure on the outlet pressure is instantaneous, but there is a delay in the effect of the inlet temperature on the outlet temperature, and the time required for outlet temperature stabilization increases by about 25 s to 30 s for each additional 400 m of pipeline length. The research can be applied to the control of supply-side steam temperature and pressure parameters in actual steam heating systems. Utilizing the coupled hydraulic–thermal characteristics of the steam pipeline network, tailored parameter control strategies can be devised to enhance the burner’s combustion efficiency and minimize fuel consumption, thereby significantly augmenting operational efficiency and fostering sustainable development within the steam heating system.

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A comprehensive review on pressurized thermal shock: predictive, preventive and safety issues

El‐Said

Awad

Abdulaziz

2020

J Therm Anal Calorim

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Online hydraulic calculation and operation optimization of industrial steam heating networks considering heat dissipation in pipes

Cited by 26 publications

References 27 publications

Load Distribution Optimization of Multi-Source District Heating System Based on Fuzzy Analytic Hierarchy Process

Load Distribution Optimization of Multi-Source District Heating System Based on Fuzzy Analytic Hierarchy Process

Simulation of Coupled Hydraulic–Thermal Characteristics for Energy-Saving Control of Steam Heating Pipeline

A comprehensive review on pressurized thermal shock: predictive, preventive and safety issues

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