Hydrogen production and temperature control for DME autothermal reforming process

Zhang, Tie-qing; Malik, Fawad Rahim; Jung, Seunghun; Kim, Young‐Bae

doi:10.1016/j.energy.2021.121980

Cited by 12 publications

(2 citation statements)

References 45 publications

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“…Figure 9a shows the variation profile of the catalyst temperature obtained from the simulation and experimental measurements in the MPC control. Figure 9b presents the experimental temperature result obtained in the PID control, as reported in previous research [41]. Based on the similar changes in the hydrogen demand curve, both control mechanisms can keep the catalyst temperature at the optimum value of 400 • C, but the temperature curve is smoother in the MPC control strategy.…”

Section: Results Discussionsupporting

confidence: 63%

Hydrogen Production System through Dimethyl Ether Autothermal Reforming, Based on Model Predictive Control

2022

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In this study, a thermodynamic analysis of the low temperature autothermal reforming (ATR) of dimethyl ether (DME) for hydrogen production was conducted. The Pd/Zn/γ-Al2O3 catalyst coated on the honeycomb cordierite ceramic was applied to catalyze the reaction, and the optimum activity temperature of this catalyst was demonstrated experimentally and through simulations to be 400 °C. Furthermore, an optimal model predictive control (MPC) strategy was designed to control the hydrogen production rate and the catalyst temperature. Experimental and simulation results indicated that the controller was automated and continuously reliable in the hydrogen production system. By establishing the state-space equations of the autothermal reformer, it can precisely control the feed rates of DME, high-purity air and deionized water. Ultimately, the hydrogen production rate can be precisely controlled when the demand curve changed from 0.09 to 0.23 mol/min, while the catalyst temperature was maintained at 400 °C, with a temporary fluctuation of 4 °C during variations of the hydrogen production rate. Therefore, the tracking performance of the hydrogen production and the anti-disturbance were satisfactory.

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Section: Results Discussionsupporting

confidence: 63%

Hydrogen Production System through Dimethyl Ether Autothermal Reforming, Based on Model Predictive Control

2022

Self Cite

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“…Figure 9(a) shows the variation profile of the catalyst temperature obtained from the simulation and experimental measurements in MPC control. Figure 9(b) presents the experimental temperature result obtained in PID control, as reported in previous research [41]. Based on the similar changes in the hydrogen demand curve, both control mechanisms can keep the catalyst temperature at the optimum value of 400 °C, but the temperature curve is smoother in the MPC control strategy.…”

Section: Results Discussionsupporting

confidence: 61%

Hydrogen Production System through Dimethyl Ether Autothermal Reforming based on Model Predictive Control

Zhang¹,

Jung²,

Kim³

2022

Preprint

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The objective of this study is to design an optimal model predictive control (MPC) strategy using manipulated variables to control the production of a sufficient amount of hydrogen through low temperature autothermal reforming of dimethyl ether (DME), a reforming reaction performed using PdO/ZnO/γ-Al2O3 catalysts coated on honeycomb cordierite ceramics. Experiments and simulation have verified that the optimal activity temperature of the catalyst is 400 °C, and the hydrogen volume fraction in syngas is over 43%. In the implementation of the hydrogen production system, the MPC controller can precisely determine the feed rates of DME, high-purity air, and water based on the space state equation of the reformer, to achieve the anti-disturbance of the reformer temperature. Thus, the reduction of hydrogen yield and sintering of the catalyst as a result of overheating are prevented. As the static and dynamic performance of hydrogen production exhibits excellent tracking of the setpoints, an autonomous, automated, and reliable continuous system was designed to meet the desired hydrogen demand situation. This study shows that an autonomous, automated, and reliable continuous hydrogen production reforming system can be designed to actively respond to the on-board hydrogen usage situation.

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An Overview of Hydrogen Production from Renewable Sources and Its Main Applications

Lima,

da Costa Madriaga

et al. 2024

ChemistrySelect

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There is a misconception that sustainability is only related to greenhouse gas emissions into the atmosphere, and that this is the only risk to which the planet is exposed. Sustainability is a multidimensional concept and must advance simoutaneously on several fronts, such as the urgent need to increase energy, clean water, clean air, food, mobility, health, and poverty reduction. All the problems of these multi‐dimensions are aggravated by the continuous growth of the world population, mainly in economic and socio‐environmental issues. However, the biggest challenge is to increase the supply of clean energy from renewable sources, as all other dimensions of sustainability depend on energy supply and policy decisions. The consumption of fossil fuels has supplied the current energy demand by approximately 87 %. Still, there are predictions of depletion, and the effects caused on the environment by the production of greenhouse gases bring significant economic losses. In this review, we will address the most common methods for hydrogen production, as well as its main technological applications in organic synthesis and for energy generation.

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Hydrogen production and temperature control for DME autothermal reforming process

Cited by 12 publications

References 45 publications

Hydrogen Production System through Dimethyl Ether Autothermal Reforming, Based on Model Predictive Control

Hydrogen Production System through Dimethyl Ether Autothermal Reforming, Based on Model Predictive Control

Hydrogen Production System through Dimethyl Ether Autothermal Reforming based on Model Predictive Control

An Overview of Hydrogen Production from Renewable Sources and Its Main Applications

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