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Journal ArticleDOI

System identification of PEM fuel cells using an improved Elman neural network and a new hybrid optimization algorithm

TL;DR: 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.
Citations
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Journal ArticleDOI
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.

115 citations

Journal ArticleDOI
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.

102 citations

Journal ArticleDOI
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.

98 citations

Journal ArticleDOI
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).

96 citations

Journal ArticleDOI
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.
Abstract: Zhao, X; Gu, B; Gao, F, and Chen, S, 2020 Matching model of energy supply and demand of the integrated energy system in coastal areas In: Yang, Y; Mi, C; Zhao, L, and Lam, S (eds), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering Journal of Coastal Research, Special Issue No 103, pp 983–989 Coconut Creek (Florida), ISSN 0749-0208Due to the uncertainty of the selection range of the main equipment capacity of the distributed energy system in coastal areas, the matching ability of energy supply and demand is relatively low From the two directions of “power by heat” and “heat by electricity”, the operation and output modes of energy in the system are studied; the selection range of the main equipment capacity of the distributed energy system is determined by calculating the load of energy supply and demand; according to the selection range, the necessary mapping conditions of the matching relationship between energy supply and demand are analyzed, and the matching model of energy supply and demand is constructed by using the matching relationship between energy supply and demand, so as to complete the matching of energy supply and demand of the integrated energy system in coastal areas The experimental results show that the total energy output of the integrated energy system in coastal areas reaches 1867 kJ in unit time, but the proportion occupancy rate between the output nodes is the lowest, which has a good matching ability of energy supply and demand

84 citations


Cites background or methods from "System identification of PEM fuel c..."

  • ...Utilization of renewable energy and traditional fossil energy can not only solve the problem of renewable energy discontinuity, but also promote the development and application of renewable energy to alleviate the shortage of fossil energy and reduce environmental pollution (Yu et al., 2019a)....

    [...]

  • ...…using modern mathematical methods, system technology and electronic computer technology, and the simulation analysis of energy system is carried out to scheme the integration, efficiency and optimization of energy development and utilization (Yu et al., 2019b; Yu et al., 2020a; Yu et al., 2020b)....

    [...]

References
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TL;DR: Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm that is used for optimizing multivariable functions and the results showed that ABC outperforms the other algorithms.
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TL;DR: C Culling is near optimal for this problem, highly noise tolerant, and the best known a~~roach in some regimes, and some new large deviation bounds on this submartingale enable us to determine the running time of the algorithm.
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Journal ArticleDOI
TL;DR: In this paper, an isothermal, one-dimensional, steady-state model for a complete polymer electrolyte fuel cell (PEFC) with a 117 Nation | membrane is presented, which predicts an increase in membrane resistance with increased current density and demonstrates the great advantage of a thinner membrane in alleviating this resistance problem.
Abstract: We present here an isothermal, one-dimensional, steady-state model for a complete polymer electrolyte fuel cell (PEFC) with a 117 Nation | membrane. In this model we employ water diffusion coefficients electro-osmotic drag coefficients, water sorption isotherms, and membrane conductivities, all measured in our laboratory as functions of membrane water content. The model pre.dicts a net-water-per-proton flux ratio of 0.2 H20/H § under typical operating conditions, which is much less than the measured electro-osmotic drag coefficient for a fully hydrated membrane. It also predicts an increase in membrane resistance with increased current density and demonstrates the great advantage of a thinner membrane in alleviating this resistance problem. Both of these predictions were verified experimentally under certain conditions.

3,013 citations