Impedance analysis of electrochemical systems

V Vivier, ME Orazem - Chemical Reviews, 2022 - ACS Publications
Interpretation of impedance spectroscopy data requires both a description of the chemistry
and physics that govern the system and an assessment of the error structure of the …

Optimal sparse polynomial chaos expansion for arbitrary probability distribution and its application on global sensitivity analysis

L Cao, J Liu, C Jiang, G Liu - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
Polynomial chaos expansion has received considerable attention in uncertainty
quantification since its great modeling capability for complex systems. However, considering …

Investigating and quantifying the effects of catalyst layer gradients, operating conditions, and their interactions on PEMFC performance through global sensitivity …

R Fan, G Chang, Y Xu, J Xu - Energy, 2024 - Elsevier
A gradient cathode catalyst layer (CCL) with promoted mass transfer and Pt utilization could
enhance the output performance of proton exchange membrane fuel cells (PEMFCs). Since …

Enhancing PEM fuel cell dynamic performance: Co-optimization of cathode catalyst layer composition and operating conditions using a novel surrogate model

R Fan, G Chang, Y Xu, Y Zhang, P Wei - Renewable Energy, 2024 - Elsevier
Optimizing the cathode catalyst layer (CCL) composition and operating conditions to
enhance the dynamic performance of proton exchange membrane fuel cells garners …

A framework for predicting the carbonation depth of concrete incorporating fly ash based on a least squares support vector machine and metaheuristic algorithms

K Zhang, K Zhang, R Bao, X Liu - Journal of Building Engineering, 2023 - Elsevier
The carbonation of concrete structures is becoming a more serious problem as the global
CO 2 level increases, and poses a great challenge to concrete durability research. In this …

Multi-objective optimization of protonic ceramic electrolysis cells based on a deep neural network surrogate model

Z Li, J Yu, C Wang, IT Bello, N Yu, X Chen, K Zheng… - Applied Energy, 2024 - Elsevier
Protonic ceramic electrolysis cell (PCEC) stands out as a promising device to realize large-
scale green hydrogen production. This research is dedicated to advancing the optimization …

Uncertainty assessment of a semi-empirical output voltage model for proton exchange membrane fuel cells

X Liu, Y Yang, L Zhang, S Zhou, L Xu, C **e… - International Journal of …, 2023 - Elsevier
An accurate model of proton exchange membrane fuel cell (PEMFC) is essential for its
characterization, performance analysis, and design of optimal control strategies. However …

A deep-learning-boosted surrogate model of a metal foam based protonic ceramic electrolysis cell stack for uncertainty quantification

Z Li, C Wang, X Chen, N Yu, L **ng, J Xuan… - Energy Conversion and …, 2024 - Elsevier
Protonic ceramic electrolysis cells (PCECs) are widely considered as an emerging
technology that shows capability for enabling environmentally friendly large-scale …

Quantifying operating uncertainties of a PEMFC–Monte Carlo-machine learning based approach

V Kannan, H Xue, KA Raman, J Chen, A Fisher… - Renewable Energy, 2020 - Elsevier
To enhance efficiency, maintain performance and prolong the lifetime of a PEMFC
functioning under diverse operating conditions, development of robust control strategies …

A global sensitivity analysis method applied to wind farm power output estimation models

JA Carta, S Díaz, A Castañeda - Applied Energy, 2020 - Elsevier
This paper proposes a global sensitivity analysis method applied to wind farm power output
estimation models. The relevance of a global sensibility analysis is that it allows …