4.7 Article

Multi-objective optimizations of solid oxide co-electrolysis with intermittent renewable power supply via multi-physics simulation and deep learning strategy

Related references

Note: Only part of the references are listed.
Article Thermodynamics

Enabling thermal-neutral electrolysis for CO2-to-fuel conversions with a hybrid deep learning strategy

Haoran Xu et al.

Summary: A hybrid simulation method is proposed for the accurate and fast optimization of the co-electrolysis process in SOECs, with a focus on thermal-neutral condition as the target. The smallest peak-temperature-gradients inside the SOEC are found to be crucial for preventing thermal failure in operation at the thermal-neutral condition.

ENERGY CONVERSION AND MANAGEMENT (2021)

Article Thermodynamics

Methodology for multi-objective optimization of wind turbine/battery/ electrolyzer system for decentralized clean hydrogen production using an adapted power management strategy for low wind speed conditions

Hammou Tebibel

Summary: This study proposes a method for clean hydrogen production utilizing wind energy through water electrolysis, with a focus on multiobjective optimization using a dynamic power and hydrogen management strategy. The results show the importance of properly designing the power and hydrogen management system in minimizing hydrogen deficit, levelized cost, and energy dump possibility.

ENERGY CONVERSION AND MANAGEMENT (2021)

Article Thermodynamics

A novel solar hydrogen production system integrating high temperature electrolysis with ammonia based thermochemical energy storage

Chen Chen et al.

Summary: A novel solar hydrogen production system integrating high temperature electrolysis with ammonia based thermochemical energy storage has been proposed for the first time. The system model, developed using Aspen Plus software, showed higher fuel production efficiency compared to conventional low-temperature water electrolysis. Parametric studies on various factors affecting system performance revealed that solar to hydrogen efficiency increases with certain parameters, reaching a maximum efficiency of 26% through parameter optimization. Technoeconomic analysis showed that the proposed system is economically feasible with a lower capital cost compared to typical photovoltaic based electrolyzer systems.

ENERGY CONVERSION AND MANAGEMENT (2021)

Review Chemistry, Multidisciplinary

Electrolytic cell design for electrochemical CO2 reduction

Shuyu Liang et al.

JOURNAL OF CO2 UTILIZATION (2020)

Article Metallurgy & Metallurgical Engineering

Development of Metal Supported SOEC for Carbon Recycling Iron Making System

Hiroki Takasu et al.

ISIJ INTERNATIONAL (2020)

Article Green & Sustainable Science & Technology

CO2 mineralization and utilization by alkaline solid wastes for potential carbon reduction

Shu-Yuan Pan et al.

NATURE SUSTAINABILITY (2020)

Article Thermodynamics

Dynamic modeling of reversible solid oxide cell stack and control strategy development

G. Botta et al.

ENERGY CONVERSION AND MANAGEMENT (2019)

Article Chemistry, Physical

Modelling the performance of an SOEC by optimization of neural network with MPSO algorithm

Jing Han et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2019)

Article Chemistry, Physical

The thermal effects of all porous solid oxide fuel cells

Haoran Xu et al.

JOURNAL OF POWER SOURCES (2019)

Article Electrochemistry

High-Temperature Co-Electrolysis: A Versatile Method to Sustainably Produce Tailored Syngas Compositions

Lucy Dittrich et al.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2019)

Proceedings Paper Green & Sustainable Science & Technology

Application Research of Artificial Intelligence in Electrical Automation Control

Mengyue Cai

2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019) (2019)

Article Energy & Fuels

Modeling of all porous solid oxide fuel cells

Haoran Xu et al.

APPLIED ENERGY (2018)

Review Nanoscience & Nanotechnology

Accelerating the discovery of materials for clean energy in the era of smart automation

Daniel P. Tabor et al.

NATURE REVIEWS MATERIALS (2018)

Article Chemistry, Physical

The path towards sustainable energy

Steven Chu et al.

NATURE MATERIALS (2017)

Article Electrochemistry

Modelling of solid oxide electrolyser cell using extreme learning machine

Caizhi Zhang et al.

ELECTROCHIMICA ACTA (2017)

Article Green & Sustainable Science & Technology

Power-to-gas and power-to-liquid for managing renewable electricity intermittency in the Alpine Region

Sennai Mesfun et al.

RENEWABLE ENERGY (2017)

Article Chemistry, Physical

Modeling of CH4-assisted SOEC for H2O/CO2 co-electrolysis

Haoran Xu et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2016)

Article Chemistry, Physical

Modeling electrical behavior of solid oxide electrolyzer cells by using artificial neural network

Pouya Zahadat et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2015)

Article Chemistry, Physical

Performance and methane production characteristics of H2O-CO2 co-electrolysis in solid oxide electrolysis cells

Wenying Li et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2013)

Article Chemistry, Physical

Application of artificial neural networks (ANN) for modeling of industrial hydrogen plant

Akbar Zamaniyan et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2013)

Article Thermodynamics

SOFC modeling considering electrochemical reactions at the active three phase boundaries

Martin Andersson et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2012)

Article Chemistry, Physical

Mathematical modeling analysis of regenerative solid oxide fuel cells in switching mode conditions

Xinfang Jin et al.

JOURNAL OF POWER SOURCES (2010)

Article Energy & Fuels

Wind energy and the hydrogen economy - review of the technology

SA Sherif et al.

SOLAR ENERGY (2005)

Article Chemistry, Physical

Technical, environmental and exergetic aspects of hydrogen energy systems

I Dincer

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2002)