Product-Form in G-Networks

Marin, Andrea

doi:10.1017/s0269964816000048

Cited by 7 publications

(5 citation statements)

References 63 publications

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“…6,[9][10][11] However, Pt-based catalysts are easily deactivated with coke formation and/or toluene fouling during the reaction. [12][13][14][15] Recently, Ir/USY, 16…”

Section: Introductionmentioning

confidence: 99%

Low-temperature selective catalytic dehydrogenation of methylcyclohexane by surface protonics

et al. 2019

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The methylcyclohexane (MCH)-toluene cycle is a promising liquid organic hydride system as a hydrogen carrier. Generally, MCH dehydrogenation has been conducted over Pt-supported catalysts, for which it requires temperatures higher than 623 K because of its endothermic nature. For this study, an electric field was applied to Pt/TiO 2 catalyst to promote MCH dehydrogenation at low temperatures. Selective dehydrogenation was achieved with the electric field application exceeding thermodynamic equilibrium, even at 423 K. With the electric field, "inverse" kinetic isotope effect (KIE) was observed by accelerated proton collision with MCH on the Pt/TiO 2 catalyst. Moreover, Pt/TiO 2 catalyst showed no methane byproduction and less coke formation during MCH dehydrogenation. DRIFTS and XPS measurements revealed that electron donation from TiO 2 to Pt weakened the interaction between catalyst surface and p-coordination of toluene. Results show that the electric field facilitated MCH dehydrogenation without methane and coke by-production over Pt/TiO 2 catalyst. † Electronic supplementary information (ESI) available. See

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“…6,[9][10][11] However, Pt-based catalysts are easily deactivated with coke formation and/or toluene fouling during the reaction. [12][13][14][15] Recently, Ir/USY, 16…”

Section: Introductionmentioning

confidence: 99%

Low-temperature selective catalytic dehydrogenation of methylcyclohexane by surface protonics

et al. 2019

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“…The Energy Packet Network (EPN) model is a mathematical abstraction for interconnected processing units or data transmission nodes that receive random flows of energy and data or jobs [68,69] based on G-Networks [54,55,63,107,120]. It has been used for the QoS analysis of systems that operate with intermittent sources of energy [76].…”

Section: Energy Savings In Ict and Energy Packet Networkmentioning

confidence: 99%

Introduction to the Special Issue on the French–Polish Collaboration in Mathematical Models of Computer Systems, Networks and Bioinformatics

Gelenbe

2019

SN COMPUT. SCI.

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“…Another approach to the EPN is based on G-networks [23,31,47,70,71,94] that is able to consider more general network structures and the service time for both job processing and energy consumption. G-networks with positive and negative customers were first inspired by the research on biophysical neural networks that can communicate through impulse signals with random emitting intervals, known as random neural networks [26,33].…”

Section: Introductionmentioning

confidence: 99%

G-Networks and the Performance of ICT with Renewable Energy

Zhang

2020

SN COMPUT. SCI.

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As a consequence of developing information and communication technology that is playing a significant role in our society and has changed our life dramatically, we witnessed a significant increase in energy consumption in computer systems and networks. Subsequently, energy harvesting technologies with renewable energy are of great interest in the field of computer systems and networks, and thus lead to abundant research which has been carried out to address energy harvesting from different aspects. However, the majority of them focuses on wireless or small-scale networks, which left wired networks with a general structure neglected. We first present a comprehensive systemic review of the trends of overall energy consumption, and energy and quality of service optimization in computer systems and networks. Then, this paper reviews the recent research progress in G-networks and energy packet networks with renewable and intermittent energy from both the system paradigms and the performance optimization and energy reduction algorithms for the wired networks.

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Product-Form in G-Networks

Cited by 7 publications

References 63 publications

Low-temperature selective catalytic dehydrogenation of methylcyclohexane by surface protonics

Low-temperature selective catalytic dehydrogenation of methylcyclohexane by surface protonics

Introduction to the Special Issue on the French–Polish Collaboration in Mathematical Models of Computer Systems, Networks and Bioinformatics

G-Networks and the Performance of ICT with Renewable Energy

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