Since installing solid oxide fuel cells (SOFCs)-based systems suffers from high expenses,
accurate and reliable modeling is heavily demanded to detect any design issue prior to the …

This paper proposes a multi-strategy, multiple algorithms based hybrid strategy using flower
pollination algorithm (FPA), grey wolf optimizer (GWO), INFO, and naked mole rat algorithm …

Optimized design of the full structure is a key solution to improve the overall performance of
proton exchange membrane fuel cells and advance their commercialization. This paper …

The paper aims to assess if liquefied natural gas (LNG)-dual-fuel (DF) engines as main
engine solid oxide fuel cells (SOFCs), and waste heat recovery systems (WHRS) as auxiliary …

Abstract The Proton Exchange Membrane Fuel Cell (PEMFC) is considered as one of the
most promising energy conversion technologies of the future due to its enormous …

As pivotal component of hydrogen fuel cell vehicles (HFCVs), proton exchange membrane
fuel cells (PEMFCs) play a crucial role in determining performance and energy efficiency of …

Fuel cells (FCs) play a crucial role in converting stored hydrogen energy into electricity.
However, accurately modeling and optimizing their performance is challenging due to the …

Aiming at the high dimension and complexity of parameters identification problem, a whale
optimization algorithm based on event-triggered and dimension learning scheme (EDWOA) …

Proton Exchange Membrane Fuel Cells (PEMFCs) play a crucial role in the advancement of
clean hydrogen vehicles. Their ability to convert hydrogen into electricity makes them …

The evolution of distributed building energy systems fuels the growing demand for
sustainable energy solutions. In this paper, Proton Exchange Membrane Fuel Cell (PEMFC) …