Modeling and simulation of steam pipeline network with multiple supply sources in iron&amp; steel plants

Luo, Xiang; Liu, Shubo; Menghua, Xu; Ying, Huang

doi:10.1109/ccdc.2016.7531826

Cited by 1 publication

(5 citation statements)

References 2 publications

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“…Based on the nine-node double-heat-source tree network, the calculation results of the two models are shown in Table 4. According to the simulation results of SynerGEE gas, the maximum relative error of the proposed model is 1.57%, which is slightly smaller than that of the model in [11]. Both models can meet the accuracy requirements for simulation while the model in this paper has a slightly higher accuracy.…”

Section: Performance Comparison Of Steam Heating Network Modelsmentioning

confidence: 78%

“…Based on Kirchhoff's first law (or continuity theorem), the total steam mass flow injected into a node is equal to the total mass flow withdrawn from it. Therefore, the nodal mass flow conservation equations can be written as Equation (11):…”

Section: Nodal Mass Flow Conservation Equationsmentioning

confidence: 99%

“…In order to better verify the superiority of the proposed steam heating network model, comparisons are made with a common existing model of the steam network in [11]. Based on the nine-node double-heat-source tree network, the calculation results of the two models are shown in Table 4.…”

Section: Performance Comparison Of Steam Heating Network Modelsmentioning

confidence: 99%

“…Both models can meet the accuracy requirements for simulation while the model in this paper has a slightly higher accuracy. Moreover, the proposed model has a significant advantage in computation speed, as the iteration times and solution time are much lower than those of the model in [11]. This is because the proposed model uses piecewise linear fitting to calculate the steam parameters, instead of using the accurate but complicated formulas provided by IAPWS-IF97, which largely accelerates the computation process.…”

Section: Performance Comparison Of Steam Heating Network Modelsmentioning

confidence: 99%

“…Most of the existing literature focuses on the simulation of the single steam heating system rather than CESS, and the balance between the accuracy and simplicity of the model has not been addressed comprehensively. The authors of [11] established a steady-state model for the steam network in iron and steel plants with multiple sources. The thermal and hydraulic calculations were based on complicated formulas for calculating the steam properties provided by IAPWS-IF97, which largely raises the complexity in the calculation process and increases the computation time.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Steady-State Simulation Approach for a Combined Electric and Steam System Considering Steam Condensate Loss

et al. 2022

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Steam is commonly used for heating in industrial production and transmitted through the steam network. Along with the decarbonization of energy generation and utilization, electric boiler and combined heat and power (CHP) became the alternatives for steam generation. Thus, the steam network is becoming tightly coupled with the power system, which brings new challenges in the simulation and operation of the combined electric and steam system (CESS). A novel simulation approach for CESS that can balance both the simulation accuracy and speed is proposed. Piecewise linearization of the saturated steam property is used for model simplification, which accelerates the simulation speed while ensuring the accuracy. Meanwhile, the heat loss of the steam network takes both condensate loss and heat dissipation into account, which further improves the accuracy of heat loss calculation. In view of model solving, two computation frameworks are provided for back-pressure and extraction condensing the CHP units, respectively. The accuracy and efficiency of the steam heating network model is verified through both the tree and ring steam network. In addition, a CESS case with both CHP and electric boilers is presented, and the results indicate such a system can reasonably improve the system stability and renewable energy consumption capability.

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Section: Performance Comparison Of Steam Heating Network Modelsmentioning

confidence: 78%

Section: Nodal Mass Flow Conservation Equationsmentioning

confidence: 99%

Section: Performance Comparison Of Steam Heating Network Modelsmentioning

confidence: 99%

Section: Performance Comparison Of Steam Heating Network Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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