Dynamic Simulation of GEH-IES with Distributed Parameter Characteristics for Hydrogen-Blending Transportation
Newswise — The integration of renewable energy into power grids is essential for environmental protection and energy conservation. However, the intermittency and instability of renewable sources pose challenges for grid stability. Power-to-gas (P2G) technology offers a promising solution by converting surplus renewable electricity into hydrogen. Blending hydrogen into existing natural gas pipelines provides an efficient means of hydrogen transportation, yet it complicates the dynamics of integrated energy systems (IESs). Current research lacks effective methods for dynamically simulating the spatial and temporal distribution of hydrogen concentration and its impact on gas flow parameters, especially under fluctuating renewable generation or equipment failures.
In a recent study published in Frontiers in Energy, researchers Dengji ZHOU, Jiarui HAO, Wang XIAO, Chen WANG, Chongyuan SHUI, Xingyun JIA, and Siyun YAN from Shanghai Jiao Tong University and Xinjiang University proposed a novel dynamic simulation framework for Gas-Electricity-Hydrogen Integrated Energy Systems (GEH-IES) with hydrogen-blending transportation. The study introduces an iterative-interactive simulation scheme and a cell-segment-based method to resolve the dynamic mixing process of hydrogen in natural gas pipelines, enabling fine-grained temporal and spatial simulation of hydrogen concentration and flow parameters.
The proposed method couples the power grid and natural gas network models, accounting for interactions at coupled nodes such as gas-fired power plants and electricity-driven compressors. The cell-segment approach divides pipelines into discrete units, solving ordinary differential equations for gas pressure, mass flow, and hydrogen mixing ratio in each segment. This allows real-time tracking of gas composition and properties. Two dynamic cases were simulated: daily renewable energy fluctuation and sudden generator shutdown. Results show that hydrogen blending introduces time-delayed effects on flow parameters, negatively correlates with pipeline pressure loss, and significantly influences compressor performance depending on blending location and mixing uniformity.
This work provides a general and precise simulation framework for analyzing the dynamic behavior of GEH-IES under hydrogen-blending conditions. It reveals how hydrogen injection affects system stability, compressor operation, and pipeline transport efficiency, offering a scientific basis for the safe and efficient design and operation of future multi-energy systems incorporating hydrogen.
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Dynamic Simulation of GEH-IES with Distributed Parameter Characteristics for Hydrogen-Blending Transportation, source
