Induction-heating MOCVD reactor with significantly improved heating efficiency and reduced harmful magnetic coupling

Li, Kuang-Hui; Sun, Haiding; Lin, Ronghui; Guo, Wenzhe; Torres‐Castanedo, Carlos G.; Liu, Kaikai; Valdes-Galán, Sergio; Sun, Haiding

doi:10.1016/j.jcrysgro.2018.02.031

Cited by 8 publications

(8 citation statements)

References 29 publications

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“…It is a reactor model integrated with an electromagnetic field designed by inspiring the existing solar‐powered reactors in the literature 28,29,42,47‐49 that have proved the solar thermochemical energy conversion potential. Induction heating is based on electromagnetic fields distribution governed by Maxwell's equations described by Maxwell‐Ampere, Maxwell‐Faraday, Maxwell‐Gauss equation, and magnetic flux law, respectively, expressed in Equations (), (), (), and () 30‐32,44,45 :

∇ \times boldH = boldJ + \frac{\partial boldD}{∂t}

∇ \times boldE = - \frac{\partial boldB}{∂t}

∇ . boldD = ρ_{v}

∇ . boldB = 0

where H , J , B , E , D,

ρ_{v}

, and t are the magnetic field intensity (A/m), current density (A/m 2 ), magnetic flux density (T), electric field intensity (V/m), electric displacement vector (V/m 2 ), volume charge density (A/m 3 ), and time (s), respectively. Moreover, B , H , J, E, and D obey the following relations:

boldD = ε_{0} ε_{r} ((), T) boldE

boldB = μ_{0} μ_{r} ((), normalT, normalH) boldH

boldJ = normalσ ((), T) boldE

where

μ_{r} ((), normalT, normalH)

, is the relative magnetic permeability function of the material temperature and magnetic intensity,

μ_{0}

the abso...…”

Section: Methodsmentioning

confidence: 99%

“…It is a reactor model integrated with an electromagnetic field designed by inspiring the existing solar-powered reactors in the literature 28,29,42,[47][48][49] that have proved the solar thermochemical energy conversion potential. Induction heating is based on electromagnetic fields distribution governed by Maxwell's equations described by Maxwell-Ampere, Maxwell-Faraday, Maxwell-Gauss equation, and magnetic flux law, respectively, expressed in Equations ( 1), ( 2), (3), and (4) [30][31][32]44,45 :…”

Section: Governing Equationsmentioning

confidence: 99%

“…They are characterized by their high efficiency, fast heating rate, safety, cleanness, and accurate control, justifying their strong interest in several industries, particularly in liquid and gas chemical synthesis, glass and quartz processing, and metal industry and semi-conductor fabrication. 12,13,31 Thus, with the application of induction heating, fast pyrolysis was used for producing valuable synthesis products from rice straw, sugarcane bagasse, coconut shell, 14 pinewood sawdust, 15 and Napier grass in an externally heated fixed-bed reactor. Moreover, an induction heating and thermal model was developed to design an inductively heated reaction system for bulk AlN crystal growth by powder sublimation.…”

Section: Introductionmentioning

confidence: 99%

“…The induction heat generators convert electrical power into high‐temperature heat, which is transferred into the reactor to synthesize chemical gas for storage. They are characterized by their high efficiency, fast heating rate, safety, cleanness, and accurate control, justifying their strong interest in several industries, particularly in liquid and gas chemical synthesis, glass and quartz processing, and metal industry and semi‐conductor fabrication 12,13,31 . Thus, with the application of induction heating, fast pyrolysis was used for producing valuable synthesis products from rice straw, sugarcane bagasse, coconut shell, 14 pinewood sawdust, 15 and Napier grass in an externally heated fixed‐bed reactor.…”

Section: Introductionmentioning

confidence: 99%

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Thermal and electrical performance analysis of induction heating based‐thermochemical reactor for heat storage integration into power systems

Gassi

Lougou

Baysal

et al. 2021

Intl J of Energy Research

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In this study, the thermal and electrical performance analysis of an induction heating based-thermochemical reactor is investigated for high-temperature heat storage. The induction-heating model is built with Maxwell equations, and the surface-to-surface (S2S) radiation model is used for the induced and diffused thermal energy flow transport in the fluid phase within the reactor inner cavity. The effects of operating and structural parameters in terms of the coil turn number, coil current intensity and frequency, the conductive plate, and the coil's relative permeability, electrical conductivity, and emissivity could affect the heat generation, input power demand, and energy consumption of the proposed reactor performance are sufficiently investigated. It is found that the reactor temperature distribution resulted from the homogenized multi-turn coil magnetomotive force and frequency with the current intensity 48% more effective in reaching the desired temperature at the heat storage medium. However, the conductive plate relative permeability, electrical conductivity, and surface emissivity significantly affect the induction heating system's thermal power, with the relative permeability having the highest impact of 13% in the storage medium's temperature increasing at low current intensity. Moreover, the surface emissivity shows remarkable effects when the inducting heating operates at a high current. Significant energy consumption, more than 159%, is observed when the induction heating generator operates at steady-state mode. The reactor heating region temperature increases when the reactor operating current and frequency get high. It is observed that the more the induced heat was applied to the reactor, the more the reactor is heating up to a steady-state. The instantaneous temperature distribution inside the reactor depicted the rise in the temperature is caused by convection and radiation heat transfer. Higher and more uniform temperature distribution inside the reactor is obtained by optimizing the reactor operating and structural parameters.

show abstract

∇ \times boldH = boldJ + \frac{\partial boldD}{∂t}

∇ \times boldE = - \frac{\partial boldB}{∂t}

∇ . boldD = ρ_{v}

∇ . boldB = 0

where H , J , B , E , D,

ρ_{v}

boldD = ε_{0} ε_{r} ((), T) boldE

boldB = μ_{0} μ_{r} ((), normalT, normalH) boldH

boldJ = normalσ ((), T) boldE

where

μ_{r} ((), normalT, normalH)

, is the relative magnetic permeability function of the material temperature and magnetic intensity,

μ_{0}

the abso...…”

Section: Methodsmentioning

confidence: 99%

Section: Governing Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Thermal and electrical performance analysis of induction heating based‐thermochemical reactor for heat storage integration into power systems

Gassi

Lougou

Baysal

et al. 2021

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…It can also be seen that there is only a very slight difference between the direct growth (concept A) and the bonding (concept B) methods used to manufacture the III-V PV system, across all impact categories except mineral resource depletion. 39 but these changes are not expected to create significant efficiency gains in the overall process. However, opportunities exist in the future to minimize the thermal mass that must be heated and possibly optimize the source utilization efficiency.…”

Section: Uncertainty Analysismentioning

confidence: 99%

Environmental impacts of III–V/silicon photovoltaics: life cycle assessment and guidance for sustainable manufacturing

Blanco

Cucurachi

Dimroth

et al. 2020

Energy Environ. Sci.

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Transformer rail‐tapped buck‐boost converter design‐based feedback controller for battery charging systems

Dagal

Akın

2022

Energy Storage

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In this article, a transformer rail‐tapped buck‐boost converter (TRT‐BBC) with minor loss of power transfer from a photovoltaic solar panel to a lead‐acid battery for battery charging systems is designed. The TRT‐BBC has been utilized to inter‐match the PV direct power to the battery. The 24‐V lead acid battery bank with a storage energy of approximately 168 Wh is designed. The photovoltaic solar panel of 200 W maximum power is used for the whole system operation. The proposed TRT‐BBC topology solves the conventional buck‐boost converter inverted output problem with apex conversion efficiencies of 93.25% and 91.97% for continuous current mode (CCM) and discontinuous current mode (DCM) respectively at standard test conditions (STC) and full load conditions. The whole system can operate either in DCM or CCM according to the needs at a switching frequency of 100 kHz and the maximum power point tracking (MPPT) with proportional integration (PI) based constant voltage‐constant current (CV‐CC) feedback control loop used to monitor the switching duty cycle of the TRT‐BBC.

show abstract

Induction-heating MOCVD reactor with significantly improved heating efficiency and reduced harmful magnetic coupling

Cited by 8 publications

References 29 publications

Thermal and electrical performance analysis of induction heating based‐thermochemical reactor for heat storage integration into power systems

Thermal and electrical performance analysis of induction heating based‐thermochemical reactor for heat storage integration into power systems

Environmental impacts of III–V/silicon photovoltaics: life cycle assessment and guidance for sustainable manufacturing

Transformer rail‐tapped buck‐boost converter design‐based feedback controller for battery charging systems

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