大规模可再生能源电解水制氢合成氨关键技术与应用研究进展.

吉旭, 周步祥, 贺革, 邱一苇, 毕可鑫… - … Kexue Yu Jishu, 2022 - search.ebscohost.com
新能源的快速发展为电力和化工行业带来了机遇和挑战, 一方面, 由于可再生能源电力消纳问题
导致大量的弃水, 弃光等能源浪费; 另一方面, 以绿氢为原料替代碳基化石能源合成氨 …

Power-to-methanol process: a review of electrolysis, methanol catalysts, kinetics, reactor designs and modelling, process integration, optimisation, and techno …

S Mbatha, RC Everson, NM Musyoka… - Sustainable Energy & …, 2021 - pubs.rsc.org
In this paper, the power-to-methanol chain is reviewed from a process system engineering
perspective with detailed assessments of major technologies. The evaluation encompasses …

Optimizing the homogeneity and efficiency of a solid oxide electrolysis cell based on multiphysics simulation and data-driven surrogate model

Y Chi, K Yokoo, H Nakajima, K Ito, J Lin… - Journal of Power Sources, 2023 - Elsevier
Inhomogeneous current and temperature distributions are harmful to the durability of solid
oxide electrolysis cells (SOECs). A high steam utilization is favorable for system efficiency …

Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models

X Qiu, H Zhang, Y Qiu, Y Zhou, T Zang, B Zhou, R Qi… - Applied Energy, 2023 - Elsevier
Utility-scale hydrogen production via alkaline electrolysis (AEL) is a promising pathway
toward the decarbonization of the power, transportation, and chemical industries. The …

Flexibility assessment and aggregation of alkaline electrolyzers considering dynamic process constraints for energy management of renewable power-to-hydrogen …

Y Qiu, Y Zhou, S Chen, T Zang, B Zhou - Renewable Energy, 2024 - Elsevier
In the energy management of renewable power-to-hydrogen (ReP2H) systems, quantifying
the flexibility of alkaline electrolyzers (AELs) to respond to fast load-tracking commands and …

Numerical simulation acceleration of flat-chip solid oxide cell stacks by data-driven surrogate cell submodels

Y Chi, Q Hu, J Lin, Y Qiu, S Mu, W Li, Y Song - Journal of Power Sources, 2023 - Elsevier
Abstract Three-dimensional (3D) multiphysics models are powerful tools for investigating the
distributions of physical quantities such as temperature inside solid oxide cell (SOC) stacks …

Online identification of a link function degradation model for solid oxide fuel cells under varying-load operation

Y Chi, Y Qiu, J Lin, Y Song, Q Hu, W Li, S Mu - International Journal of …, 2022 - Elsevier
Prognostic is a potential tool for improving the durability of solid oxide fuel cells (SOFCs),
which usually involves building a degradation model for prediction. However, the existing …

Optimizing efficiency of proton exchange membrane electrolyzer system based on multiphysics model and differential evolution strategy

Q Zhu, W Cheng, J Yang, H Sun, W Liu, H Li - Journal of Power Sources, 2024 - Elsevier
This work focuses on a comprehensive performance enhancement considering hydrogen
production, energy consumption of balance of plant (BOP), and thermal safety by optimizing …

Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-ion batteries

C Zhang, S Wang, C Yu, Y Xie… - Industrial & Engineering …, 2022 - ACS Publications
Incisively estimating the state of charge (SOC) of lithium-ion batteries is essential to ensure
the safe and stable operation of a battery management system. Neural network methods do …

Two-layer energy management strategy for grid-integrated multi-stack power-to-hydrogen station

J Li, B Yang, J Lin, F Liu, Y Qiu, Y Xu, R Qi, Y Song - Applied Energy, 2024 - Elsevier
Large-scale power-to‑hydrogen (P2H) stations with multi-stack configurations, are emerging
as valuable flexible resources for the power grid. The energy management strategy (EMS) …