Thermodynamic analysis of hydrogen tank filling. Effects of heat losses and filling rate optimization

Ruffio, Emmanuel; Saury, Didier; Petit, Daniel

doi:10.1016/j.ijhydene.2014.06.069

Cited by 31 publications

(9 citation statements)

References 21 publications

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“…The observer gains are then optimized using the evolutionary strategy [24] detailed in Algorithm 1 on the cost function in Equation (2) . The optimization algorithm has μ initial members at each iteration, during which λ offspring are created by random combinations of ρ parents.…”

Section: Methodsmentioning

confidence: 99%

Fast tuning of observer-based circadian phase estimator using biometric data

Ike

Wen

Oishi

et al. 2022

Heliyon

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Section: Methodsmentioning

confidence: 99%

Fast tuning of observer-based circadian phase estimator using biometric data

Ike

Wen

Oishi

et al. 2022

Heliyon

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“…Once the costs are presented in a suitable time base they can be added, and they are covered under the variable TAC (Total Annual Costs), whose expression is shown hereunder, Equation (11):…”

Section: Cost Analysismentioning

confidence: 99%

“…Regarding H 2 compression and storage, the main research has focused on the thermodynamic analysis of filling hydrogen storage tanks and the influence of temperature evolution. The effects of heat losses and filling rate optimization for a refuelling gaseous fuel tank was studied by Ruffio et al [11]. Their objective was to compare the temperature and pressure evolutions coming from different equations of state and from thermodynamic tables.…”

Section: Introductionmentioning

confidence: 99%

Techno-Economics Optimization of H2 and CO2 Compression for Renewable Energy Storage and Power-to-Gas Applications

Esteban

Romeo

2021

Applied Sciences

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The decarbonization of the industrial sector is imperative to achieve a sustainable future. Carbon capture and storage technologies are the leading options, but lately the use of CO2 is also being considered as a very attractive alternative that approaches a circular economy. In this regard, power to gas is a promising option to take advantage of renewable H2 by converting it, together with the captured CO2, into renewable gases, in particular renewable methane. As renewable energy production, or the mismatch between renewable production and consumption, is not constant, it is essential to store renewable H2 or CO2 to properly run a methanation installation and produce renewable gas. This work analyses and optimizes the system layout and storage pressure and presents an annual cost (including CAPEX and OPEX) minimization. Results show the proper compression stages need to achieve the storage pressure that minimizes the system cost. This pressure is just below the supercritical pressure for CO2 and at lower pressures for H2, around 67 bar. This last quantity is in agreement with the usual pressures to store and distribute natural gas. Moreover, the H2 storage costs are higher than that of CO2, even with lower mass quantities; this is due to the lower H2 density compared with CO2. Finally, it is concluded that the compressor costs are the most relevant costs for CO2 compression, but the storage tank costs are the most relevant in the case of H2.

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“…Several thermodynamic analyses of the filling phase of tanks can be found in literature, in particular for the cases of hydrogen and natural gas. In the work of Ruffio et al [36], temperature and pressure evolutions during tank filling have been derived from thermodynamic database (NIST) and by three different equations of state (EoS). Results obtained with Redlich-Kwong EoS and with NIST database were in good agreement.…”

Section: Steam State Evolutionmentioning

confidence: 99%