Operation optimization of electricity-steam coupled industrial energy system considering steam accumulator

Zhuang, Wennan; Zhou, Suyang; Chen, Jinyi; Gu, Wei

doi:10.1016/j.energy.2023.129903

Cited by 3 publications

(1 citation statement)

References 74 publications

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“…It can be applied to real-time calculations and reduces the computation time. Zhuang et al (2024) [8] modeled an energy system coupled with electricity and steam and introduced a steam accumulator into the system to compensate for fluctuations in renewable energy sources, and the overall economic efficiency of the system was improved by 11.39%, proving the feasibility of joint operation of the electricity-steam system. Garcia-Gutierrez et al (2015) [9] established a hydraulic model of steam transportation based on an existing simulator for a 125 km long steam pipeline network in Mexico, and the average relative error between the calculated pressure and flow rate and the measured values was less than 10%.…”

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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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

View full text Add to dashboard Cite

show abstract

Unveiling the prospects of Y2O3-based nanocomposites: Synthesis, characterization, and electrochemical assessment for supercapacitor and biosensor applications

Sharma,

Nadar,

Deepak

et al. 2024

Materials Today Communications

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Physics and data‐driven approach for online joint state and parameter estimation of electricity and steam networks

Zhao,

Li,

Wang

et al. 2024

Energy Internet

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The electricity and steam integrated energy systems, which can capture waste heat and improve the overall energy efficiency, have been widely utilised in industrial parks. However, intensive and frequent changes in demands would lead to model parameters with strong time‐varying characteristics. This paper proposes a hybrid physics and data‐driven framework for online joint state and parameter estimation of steam and electricity integrated energy system. Based on the physical non‐linear state space models for the electricity network (EN) and steam heating network (SHN), relevance vector machine is developed to learn parameters' dynamic characteristics with respect to model states, which is embedded with physical models. Then, the online joint state and parameter estimation based on unscented Kalman filter is proposed, which would be learnt recursively to capture the spatiotemporal transient characteristics between electricity and SHNs. The IEEE 39‐bus EN and the 29‐nodes SHN are employed to verify the effectiveness of the proposed method. The experimental results validate that the proposed method can provide a higher estimation accuracy than the state‐of‐the‐art approaches.

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Operation optimization of electricity-steam coupled industrial energy system considering steam accumulator

Cited by 3 publications

References 74 publications

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

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

Unveiling the prospects of Y2O3-based nanocomposites: Synthesis, characterization, and electrochemical assessment for supercapacitor and biosensor applications

Physics and data‐driven approach for online joint state and parameter estimation of electricity and steam networks

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