System identification of PEM fuel cells using an improved Elman neural network and a new hybrid optimization algorithm
Dongmin Yu,Dongmin Yu,Yong Wang,Yong Wang,Huanan Liu,Huanan Liu,Kittisak Jermsittiparsert,Navid Razmjooy +7 more
TLDR
An optimized improved Elman neural network based on a new hybrid optimization algorithm is proposed for increasing their efficiency in the next designs of the proton exchange membrane fuel cell.About:
This article is published in Energy Reports.The article was published on 2019-11-01 and is currently open access. It has received 132 citations till now. The article focuses on the topics: Hybrid algorithm & System identification.read more
Citations
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Optimal parameter identification of PEMFC stacks using Adaptive Sparrow Search Algorithm
Yanlong Zhu,Nasser Yousefi +1 more
TL;DR: The proposed ASSA is utilized for minimizing the sum of squared error (SSE) between the empirical stack voltage and the calculated stack voltage by optimal selection of the mentioned parameters in the PEMFC stack.
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A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm
TL;DR: A newly developed model of the Sunflower Optimization Algorithm (DSFO) is proposed for minimizing the sum of squared error (SSE) value between the estimated and the actual output voltage of the PEMFC stack.
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Multi-objective optimization for the proper selection of the best heat pump technology in a fuel cell-heat pump micro-CHP system
TL;DR: In this article, a multi-objective technique has been proposed for optimal analysis of three different candidate heat pump solutions including the vapor compression cycle (VCC), trans-critical R744 cycle, and Peltier device to determine which one gives the best configuration and better performance on a hybrid heat pump and fuel cell-based micro-CHP system.
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Optimal structure design of a PV/FC HRES using amended Water Strider Algorithm
TL;DR: In this article, an off-grid combined renewable energy system (HRES) by photovoltaic (PV) and fuel cell (FC) systems is proposed to provide electricity for a remote area in Jiaju Tibetan Village, Danba, Sichuan Province China The main idea is formulated according to the Total Annual Cost (TAC).
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Matching Model of Energy Supply and Demand of the Integrated Energy System in Coastal Areas
TL;DR: In this article, a matching model of energy supply and demand of the integrated energy system in coastal areas in the United States was constructed by using the matching relationship between energy supply-demand, so as to complete the matching of the matching.
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