A coupled transient gas flow calculation with a simultaneous calorific-value-gradient improved hydrogen tracking

Dancker, Jonte; Wolter, Martin

doi:10.1016/j.apenergy.2022.118967

Cited by 8 publications

(9 citation statements)

References 32 publications

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“…The gas compressibility has a strong effect in transmission systems while the hydrogen propagation affects both distribution and transmission systems. The state of a GS is described by the pressure at each node π N , the volume flow rate at each terminal of the network at standard conditions q v,n,Te , and the calorific value at each node h o,N [21]. The vector is of size (2N + T e) × 1, in which T e is the number of terminals:…”

Section: Gas Systemmentioning

confidence: 99%

“…Here, the sign of the volume flow rate depicts if a flow is entering (positive sign) or leaving (negative sign) the pipeline. A detailed description of the power flow calculation can be found in [21]. The nodal pressures and terminal volume flow rates include the dynamic gas behavior arising from the gas compressibility, which is determined by six equations.…”

Section: Gas Systemmentioning

confidence: 99%

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Power-Transfer-Distribution-Factor-Based Sensitivity Factors for Integrated Energy Systems

Dancker,

Wolter

2024

IEEE Trans. Sustain. Energy

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The stronger the electric power, district heating and gas system are linked in an integrated energy system (IES) the larger their flexibility potential but also their complexity. To ensure a secure system operation, the effect of a coupling unit's power change on the overall system state must be analyzed before the power change is carried out. Otherwise, coupling units can unintentionally cause limit violations in one energy system. Currently, for such analyses a power flow calculation must be performed, which is computational expensive and timeconsuming. This paper presents sensitivity factors extending Power Transfer Distribution Factors from electric power system analysis to IES. The sensitivity factors include the dynamic behavior of district heating and gas systems as we derive the sensitivity factors from a joined quasi-steady-state power flow calculation. In two case studies we profoundly test the applicability of the IES sensitivity factors, their accuracy, and limitations. We show that the sensitivity factors are on average ten times faster in estimating a new system state after a unit's power change compared to a power flow calculation. Also, the sensitivity factors can provide good estimates and have a higher accuracy than sensitivity factors which are derived from a steadystate power flow calculation.

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Section: Gas Systemmentioning

confidence: 99%

Section: Gas Systemmentioning

confidence: 99%

Power-Transfer-Distribution-Factor-Based Sensitivity Factors for Integrated Energy Systems

Dancker,

Wolter

2024

IEEE Trans. Sustain. Energy

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“…However, a hydrogen injection introduces a dynamic behavior due to the hydrogen proagation which must be considered. A detailed description of the gas flow calculation can be found in [21]. The state of a GS is described by the pressure at each node π N , the volume flow rate at each terminal of the network at standard conditions q v,n,Te , and the calorific value at each node h o,N .…”

Section: B Gas Systemmentioning

confidence: 99%

“…If the propagation is assumed to be steady-state (i. e., a change in calorific value occurs simultaneously on all nodes in the network) the transfer delay is zero. The propagation of hydrogen described by ( 14) and ( 15) can be included into the power flow calculation by the calorific-value-gradient method described in [21]. With this the calorific value flow rate balance is set up for all nodes except for the slack node, tracking the hydrogen distribution:…”

Section: B Gas Systemmentioning

confidence: 99%

“…The calorific value flow rate entering the node is determined by the calorific value at the end of the respective edge, while the leaving calorific value flow rate is determined with the calorific value of the node. The calorific value flow rate entering the node is determined by applying the calorific-value-gradient method described in [21] and thus considers the transfer delay of the hydrogen propagation.…”

Section: B Gas Systemmentioning

confidence: 99%

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Impact of Heat Pumps, Rooftop PV, and Hydrogen Blending on Gas-Electricity Distribution Networks in Northeast US

2023

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The building sector is responsible for about 7 % of overall greenhouse gas emissions in the US. Cutting the emissions by electrifying heating and cooling supply through heat pumps (HPs) leads to an increase in electricity demand and potential overloading of lines and transformers in electricity distribution systems. Although many studies investigate the maximum potential for HPs in existing distribution systems in Europe, they neglect a potential relieving effect of combining HPs with rooftop photovoltaic (PV) systems as well as the consequence of coupling the electricity and gas system at distribution level. Hence, we investigate the effect of HPs and rooftop PV systems in a representative distribution system in Northeast US and the potential of coupling electricity and gas distribution systems. We show that generally no overloading in average US electric distribution systems occurs even under high realistic HP and PV adoption rates. Moreover, our results show that combining HPs and rooftop PV reduces the impact on the distribution system throughout the year with the greatest reduction in spring and fall. In contrast, the potential for injecting hydrogen on distribution level is technically very limited and not economic. Thus, electrolyzers at distribution level are not able to reduce congestion in the electricity system.

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A high-accuracy online transient simulation framework of natural gas pipeline network by integrating physics-based and data-driven methods

et al. 2023

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A coupled transient gas flow calculation with a simultaneous calorific-value-gradient improved hydrogen tracking

Cited by 8 publications

References 32 publications

Power-Transfer-Distribution-Factor-Based Sensitivity Factors for Integrated Energy Systems

Power-Transfer-Distribution-Factor-Based Sensitivity Factors for Integrated Energy Systems

Impact of Heat Pumps, Rooftop PV, and Hydrogen Blending on Gas-Electricity Distribution Networks in Northeast US

A high-accuracy online transient simulation framework of natural gas pipeline network by integrating physics-based and data-driven methods

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