Gas composition tracking in transient pipeline flow

Chaczykowski, Maciej; Sund, Filip; Zarodkiewicz, Paweł; Hope, Sigmund Mongstad

doi:10.1016/j.jngse.2018.03.014

Cited by 39 publications

(16 citation statements)

References 12 publications

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“…Investigates two methods for tracking alternative gases (i.e., biomethane and hydrogen) and natural gas mixtures composition, one based on using a moving grid method, and one solving the advection equation. These methods were applied to one Polish gas pipeline and one Norwegian offshore gas transmission system and the results showed well-measured compositions and transport times, with an error in total transport times of less than 2.0% [26].…”

Section: H2 E Ng Blending Literature Reviewmentioning

confidence: 92%

Steady-state analysis of a natural gas distribution network with hydrogen injection to absorb excess renewable electricity

Cheli

Guzzo

Adolfo

et al. 2021

International Journal of Hydrogen Energy

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Section: H2 E Ng Blending Literature Reviewmentioning

confidence: 92%

Steady-state analysis of a natural gas distribution network with hydrogen injection to absorb excess renewable electricity

Cheli

Guzzo

Adolfo

et al. 2021

International Journal of Hydrogen Energy

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“…The steady-state approaches, whether decoupled or coupled, neglect the dynamic behavior of the GS and DHS despite their benefits for an IES [14]. Although many studies are available that analyze the dynamic behavior for the DHS (e. g., [4], [14], [28], [29]) and GS (e. g., [10], [30], [31]) as well as hydrogen tracking (e. g., [32]- [34]), only a few studies use these approaches for an investigation of the dynamic behavior of IES (e. g., [4], [14], [22], [25]). The studies predominantly apply a decoupled approach and only investigate electricity-heating IES.…”

Section: Introductionmentioning

confidence: 99%

A Joined Quasi-Steady-State Power Flow Calculation for Integrated Energy Systems

Dancker

Wolter

2022

IEEE Access

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The network storage capability of district heating systems and gas systems can provide a considerable flexibility in integrated energy systems, increasing the use of volatile renewable energy generation. But the stronger the single energy systems are linked the more complex their operation becomes due to their increased interactions. To ensure a secure and reliable system operation while using the full potential of integrated energy systems, these interactions must be analyzed. Existing power flow calculation methods, however, assume a steady-state behavior of all energy systems in the integrated energy system, neglecting the network storage capability. Hence, this paper presents a joined quasi-steady-state power flow calculation method for integrated energy systems. Our method introduces the dynamic behavior of the district heating system arising from the temperature propagation and the dynamic behavior of the gas system due to the gas compressibility and propagation of hydrogen. In a comparison with a steady-state power flow calculation we show the considerable effect of the network storage on the operation of an integrated energy system. As our method enhances existing steady-state power flow calculation methods, it can be easily used for the same use cases but allowing the full potential of integrated energy systems to be investigated.INDEX TERMS Quasi-steady-state, integrated energy system, power flow calculation, Newton-Raphson method, gradient method.

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“…The extracted natural gas is a mixture of methane, ethane, propane, and other gases [ 3 ]. To ensure the heating quality of natural gas and meet the environmental protection requirements, the composition analysis of natural gas is an essential procedure in the exploitation of natural gas [ 4 , 5 ]. Therefore, the study of natural gas monitoring systems is of great significance for natural gas utilization.…”

Section: Introductionmentioning

confidence: 99%

Design and Application of Mixed Natural Gas Monitoring System Using Artificial Neural Networks

Wang

Lei

et al. 2021

Sensors

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Natural gas component analysis is one of the significant technologies in the exploitation and utilization of natural gas. A stable and accurate online natural gas monitoring system is necessary for the gas extracting industry. We have developed an online monitoring system of natural gas with a novel hardware architecture. It improves the dependability and maintainability of the system. A specific instruction set is designed to facilitate the coordination of software and hardware. To reduce the sample noise, the exponentially weighted moving average (EWMA) method is used to preprocess the real-time raw data of the sensor array. A tailored neural network is designed for calibration. And the relationship between the performance and the structure of the gas neural network is demonstrated to find the optimal solution for accuracy and hardware scale. The design not only focuses on the optimization of individual components but also focuses on system-level improvement. The system has been running stably for several months in the gas fields. It meets the requirements of stability, ease of use, maintainability, and online monitoring in industrial applications.

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Gas composition tracking in transient pipeline flow

Cited by 39 publications

References 12 publications

Steady-state analysis of a natural gas distribution network with hydrogen injection to absorb excess renewable electricity

Steady-state analysis of a natural gas distribution network with hydrogen injection to absorb excess renewable electricity

A Joined Quasi-Steady-State Power Flow Calculation for Integrated Energy Systems

Design and Application of Mixed Natural Gas Monitoring System Using Artificial Neural Networks

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