Overall efficiency comparison between the fueling methods of SAEJ2601 using dynamic simulations

Chochlidakis, Chronis Giannis; Rothuizen, Erasmus Damgaard

doi:10.1016/j.ijhydene.2020.02.068

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…The MC Formula is an alternative method based on a version of Honda's MC method that consists of analytical calculations. It uses thermodynamic properties to dynamically determine the APRR that controls the refuelling flow [10]. The MC formula can be illustrated in Figure 2, where all the parameters are presented.…”

Section: Refuelling Protocolsmentioning

confidence: 99%

“…Diagram control for MC formula method implementation considering the SAE J2601 protocol requirements. Adapted from [10,22].…”

Section: Figurementioning

confidence: 99%

“…Refuelling gaseous hydrogen is a process that comprises two main ways: either the hydrogen is directly compressed in a tank using a compressor or the hydrogen is moved from a tank with higher pressure to the target tank at lower pressure [10]. In the context of vehicle refuelling stations, the storage of hydrogen in a gaseous state remains the most viable option [11].…”

Section: Introductionmentioning

confidence: 99%

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Development of a Numerical Optimization Model for Sizing Hydrogen Refuelling Stations: Application to a Case Study

Ferreira

Teixeira

et al. 2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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Interest in hydrogen as a transportation fuel is growing. Fuel cell electric vehicles fed by hydrogen are expected to play a key role in the decarbonization of the transportation sector. Its impact will depend upon the existence of reliable and cost-effective fuelling stations. Numerical simulation allows sizing hydrogen refuelling on-site stations in order to identify the most cost-effective solution for a specific utilization pattern. This study aims to define a numerical optimization model for a hydrogen refuelling station to supply both light and heavy vehicles. The objective function is to minimize the total storage volume, taking into account the number of vehicles to be refuelled. The pressure at each storage skid is considered a decision variable, as well as the hydrogen mass that is provided at each vehicle filling. The model considers the hydrogen properties and the physical constraints to size the station prior to its construction. Additionally, a cost analysis based on the capital expenditure concept was developed. The hydrogen refuelling station must be able to supply 300 kg/day of hydrogen. The station includes four main systems: the hydrogen production equipment, an electrolyzer, and a system that can store hydrogen to feed the compression cascade. The station should be able to fill 10 heavy vehicles at 350 bar (H35), considering 2 skid pressure levels and a supplied mass of 30 kg and 30 light vehicles at 700 bar (H70), considering 3 skid pressure levels, dispensing 4.2 kg of hydrogen each. At all vehicle fillings, a pressure differential of 50 bar between the high-pressure skid and the vehicle tank is mandatory so the refuelling can be validated. The results show that it is possible to refuel 10 heavy vehicles considering a total storage volume of 36.9 m 3 , whereas, for light vehicles, it is possible to refuel 30 vehicles with a total volume of 22.9 m 3 . Based on capital expenditure, the most representative capital costs are the production equipment (30%), high-pressure storage unit (20%) and the hydrogen compression system (18%).

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Section: Refuelling Protocolsmentioning

confidence: 99%

“…Diagram control for MC formula method implementation considering the SAE J2601 protocol requirements. Adapted from [10,22].…”

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a Numerical Optimization Model for Sizing Hydrogen Refuelling Stations: Application to a Case Study

Ferreira

Teixeira

et al. 2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

View full text Add to dashboard Cite

show abstract

“…The standard lookup table method controls the temperature by interrupting the filling, and the MC method controls the average pressure ramp rate by taking advantage of the thermodynamic properties of the hydrogen tank [5]. These two methods were compared and the results showed that the average filling rate of the MC method was faster without affecting the SOC and energy consumption [17]. The temperature rise in the tank can be realized in three ways: controlling the mass flow rate, filling with a multi-level storage system, and adjusting the filling temperature.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Research on Temperature Evolution during the Fast-Filling Process of a Type III Hydrogen Tank

et al. 2022

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The temperature rises hydrogen tanks during the fast-filling process could threaten the safety of the hydrogen fuel cell vehicle. In this paper, a 2D axisymmetric model of a type III hydrogen for the bus was built to investigate the temperature evolution during the fast-filling process. A test rig was carried out to validate the numerical model with air. It was found significant temperature rise occurred during the filling process, despite the temperature of the filling air being cooled down due to the throttling effect. After verification, the 2D model of the hydrogen tank was employed to study the temperature distribution and evolution of hydrogen during the fast-filling process. Thermal stratification was observed along the axial direction of the tank. Then, the effects of filling parameters were examined, and a formula was fitted to predict the final temperature based on the simulated results. At last, an effort was paid on trying the improve the temperature distribution by increasing the injector length of the hydrogen tank. The results showed the maximal temperature and mass averaged temperature decreased by 2 K and 3.4 K with the length of the injector increased from 50 mm to 250 mm.

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“…The modelling of the fuelling process of hydrogen vehicles has been investigated recently by Rothuizen et al [5], Kuroki et al [6], Shäfer and Klein [7] or Chochlidakis et al [8], to optimize the fuelling process defined by the SAE J2601 fueling protocol [9].…”

Section: Introductionmentioning

confidence: 99%

Numerical optimization of a novel gas-gas ejector for fuelling of hydrogen vehicles

Rogié

Kærn

Wen

et al. 2020

International Journal of Hydrogen Energy

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Overall efficiency comparison between the fueling methods of SAEJ2601 using dynamic simulations

Cited by 13 publications

References 15 publications

Development of a Numerical Optimization Model for Sizing Hydrogen Refuelling Stations: Application to a Case Study

Development of a Numerical Optimization Model for Sizing Hydrogen Refuelling Stations: Application to a Case Study

Experimental and Numerical Research on Temperature Evolution during the Fast-Filling Process of a Type III Hydrogen Tank

Numerical optimization of a novel gas-gas ejector for fuelling of hydrogen vehicles

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