Hydrogen supply chain optimization for deployment scenarios in the Midi-Pyrénées region, France

Almaraz, Sofía De-León; Azzaro‐Pantel, Catherine; Montastruc, Ludovic; Domenech, Serge

doi:10.1016/j.ijhydene.2014.05.165

Cited by 101 publications

(58 citation statements)

References 18 publications

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“…Hydrogen supply chain designs have been proposed by work done by Han et al and de-León Almaraz et al for South Korea and a Mid-Pyrenees region, respectively [18,19]. Both studies take a multi-objective optimization approach to carry out a comparative analysis between a centralized and a de-centralized production system based on their cost effectiveness, associated safety risks, and their environmental impact.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The hydrogen demand in Han et al's work is considered to be constant on a daily basis throughout the modeling horizon of one year (2044). De-León Almaraz et al's [19] system accounts for the growth of the demand side over the course of 30 years (2020-2050) with a 10 year time step. Their work gives preference to the use of water electrolysis for hydrogen production due to the growth of the renewable energy generation sector in France.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Stochastic Programming Approach for the Planning and Operation of a Power to Gas Energy Hub with Multiple Energy Recovery Pathways

et al. 2017

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There is a need for energy storage to improve the efficiency and effectiveness of energy distribution with the increasing penetration of renewable energy sources. Among the various energy storage technologies being developed, 'power-to-gas' is one such concept which has gained interest due to its ability to provide long term energy storage and recover the energy stored through different energy recovery pathways. Incorporation of such systems within the energy infrastructure requires analysis of the key factors influencing the operation of electrolyzers and hydrogen storage. This study focusses on assessing the benefits power-to-gas energy storage while accounting for uncertainty in the following three key parameters that could influence the operation of the energy system: (1) hourly electricity price; (2) the number of fuel cell vehicles serviced; and (3) the amount of hydrogen refueled. An hourly time index is adopted to analyze how the energy hub should operate under uncertainty. The results show that there is a potential economic benefit for the powerto-gas system if it is modeled using the two-stage stochastic programming approach in comparison to a deterministic optimization study. The power-to-gas system also offers environmental benefits both from the perspective of the producer and end user of hydrogen.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Stochastic Programming Approach for the Planning and Operation of a Power to Gas Energy Hub with Multiple Energy Recovery Pathways

et al. 2017

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“…Section 3 introduces the DOE methodology and gives a brief description of important statistical tools related to this method (i.e., factorial design and response surface methods) and presents the optimization strategy. In Section 4, the case study of the former Midi-Pyrénées region treated in De-León Almaraz et al (2014) (now included in the Occitanie region) is described, and from the literature review and our previous results, hypothetical important parameters are analyzed to create a set of factors proposed for the DOE study. Section 5 is devoted to the application of the methodology and the results are examined.…”

Section: Sensitivity Analysis For Hscmentioning

confidence: 99%

“…The HSC design approach has been extensively presented in De-León Almaraz et al (2014) and is based on the works developed by Shah (2009, 2012), dedicated to the optimal TDC of the HSC through MILP (Fig. 2).…”

Section: Mathematical Hsc Design Modelmentioning

confidence: 99%

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Design of Experiments for Sensitivity Analysis of a Hydrogen Supply Chain Design Model

Robles

Almaraz

Azzaro‐Pantel

2017

Process Integr Optim Sustain

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Hydrogen is one of the most promising energy carriers in the quest for a more sustainable energy mix. In this paper, a model of the hydrogen supply chain (HSC) based on energy sources, production, storage, transportation, and market has been developed through a MILP formulation (Mixed Integer Linear Programming). Previous studies have shown that the start-up of the HSC deployment may be strongly penalized from an economic point of view. The objective of this work is to perform a sensitivity analysis to identify the major parameters (factors) and their interaction affecting an economic criterion, i.e., the total daily cost (TDC) (response), encompassing capital and operational expenditures. An adapted methodology for this SA is the design of experiments through the Factorial Design and Response Surface methods. Six key parameters are chosen (demand, capital change factor (CCF), storage and production capital costs (SCC, PCC), learning rate (LR), and unit production cost (UPC)). The demand is the factor that is by far the most significant parameter that strongly conditions the TDC optimization criterion, the second most significant parameter being the capital change factor. To a lesser extent, the other influencing factors are PCC and LR. The main interactions are found between demand, CCF, UPC, and SCC. The discussion has also shown that the calculation of UPC has to be improved taking into account the contribution of the fixed, electricity, and feedstock costs instead of being considered as a fixed parameter only depending on the size of the production unit. As any change that could occur relative to demand or CCF could strongly affect the response variable, more effort is also needed to find the more consistent way to model demand uncertainty in HSC design, especially since a long horizon time is considered for hydrogen deployment.

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A Multi-objective and Multi-period Model to the Design and Operation of a Hydrogen Supply Chain: An Applied Case in Portugal

Câmara

Pinto‐Varela

Barbosa‐Póvoa

2021

Springer Proceedings in Mathematics &Amp; Statistics

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Hydrogen supply chain optimization for deployment scenarios in the Midi-Pyrénées region, France

Cited by 101 publications

References 18 publications

A Stochastic Programming Approach for the Planning and Operation of a Power to Gas Energy Hub with Multiple Energy Recovery Pathways

A Stochastic Programming Approach for the Planning and Operation of a Power to Gas Energy Hub with Multiple Energy Recovery Pathways

Design of Experiments for Sensitivity Analysis of a Hydrogen Supply Chain Design Model

A Multi-objective and Multi-period Model to the Design and Operation of a Hydrogen Supply Chain: An Applied Case in Portugal

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