Analysis of start-up behavior based on the dynamic simulation of an SOFC–engine hybrid system

Lee, Dongkeun; Quach, Thai-Quyen; Israel, Torres Pineda; Ahn, Kook Young; Bae, Yonggyun; Kim, Young Sang

doi:10.1016/j.enconman.2022.116384

Cited by 11 publications

(1 citation statement)

References 69 publications

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“…They observed that without a device to control the temperature gradient, the maximum temperature gradient of the system could reach 5 times the permissible value. Lee et al [ 40 ] simulated the heat‐up and start‐up processes of a SOFC/engine hybrid system. During the heating process, air and nitrogen (each heated by an electrical heater), respectively, entered the cathode and anode channels with a temperature increase rate of 35 °C h −1 .…”

Section: Introductionmentioning

confidence: 99%

Optimal Heat‐Up Planning of a Solid Oxide Fuel Cell with and without Hot Air Recycling by Considering Energy, Time, and Temperature Gradient

Hami

Mahmoudimehr

2023

Energy Tech

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A solid oxide fuel cell (SOFC) needs to be heated to a high temperature to be able to start generating electricity. This study aims to manage the heat-up process of a SOFC by considering the three objectives of time duration, energy consumption, and temperature gradient, simultaneously. Mass flow rate (MFR) and rate of temperature rise (RTR) of the hot air, passing through the cathode channel of the SOFC, are considered as decision variables. The transient heatup process is numerically simulated for six different MFR values (5-50 mg s À1 ) and six different RTR values (0.1-5 K s À1 ). The results indicate that higher RTR leads to lower heat-up duration, lower energy consumption, but higher temperature gradient. Also, higher MFR results in lower heat-up duration, lower temperature gradient, but higher energy consumption. The results also reveal that hot air recycling increases thermal efficiency from below 40% to nearly 100%. Finally, when hot air recycling is employed and all the objectives are considered simultaneously, the heat-up plan with a RTR of 0.5 K s À1 and a MFR of 50 mg s À1 is selected as the best choice by using linear programming technique for multidimensional analysis of preference.

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Section: Introductionmentioning

confidence: 99%

Optimal Heat‐Up Planning of a Solid Oxide Fuel Cell with and without Hot Air Recycling by Considering Energy, Time, and Temperature Gradient

Hami

Mahmoudimehr

2023

Energy Tech

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A comprehensive survey of artificial intelligence-based techniques for performance enhancement of solid oxide fuel cells: Test cases with debates

Ashraf,

Draz

2024

Artif Intell Rev

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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 system establishment. However, such mathematical models comprise certain unknowns that should be properly estimated to effectively describe the actual operation of SOFCs. Accordingly, due to their recent promising achievements, a tremendous number of metaheuristic optimizers (MHOs) have been utilized to handle this task. Hence, this effort targets providing a novel thorough review of the most recent MHOs applied to define the ungiven parameters of SOFCs stacks. Specifically, among over 300 attempts, only 175 articles are reported, where thirty up-to-date MHOs from the last five years are comprehensively illustrated. Particularly, the discussed MHOs are classified according to their behavior into; evolutionary-based, physics-based, swarm-based, and nature-based algorithms. Each is touched with a brief of their inspiration, features, merits, and demerits, along with their results in SOFC parameters determination. Furthermore, an overall platform is constructed where the reader can easily investigate each algorithm individually in terms of its governing factors, besides, the simulation circumstances related to the studied SOFC test cases. Over and above, numerical simulations are also introduced for commercial SOFCs’ stacks to evaluate the proposed MHOs-based methodology. Moreover, the mathematical formulation of various assessment criteria is systematically presented. After all, some perspectives and observations are provided in the conclusion to pave the way for further analyses and innovations.

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Nonlinear model predictive control of direct internal reforming solid oxide fuel cells via PDAE-constrained dynamic optimization

Jie,

Liao,

Zhu

et al. 2024

Applied Energy

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Analysis of start-up behavior based on the dynamic simulation of an SOFC–engine hybrid system

Cited by 11 publications

References 69 publications

Optimal Heat‐Up Planning of a Solid Oxide Fuel Cell with and without Hot Air Recycling by Considering Energy, Time, and Temperature Gradient

Optimal Heat‐Up Planning of a Solid Oxide Fuel Cell with and without Hot Air Recycling by Considering Energy, Time, and Temperature Gradient

A comprehensive survey of artificial intelligence-based techniques for performance enhancement of solid oxide fuel cells: Test cases with debates

Nonlinear model predictive control of direct internal reforming solid oxide fuel cells via PDAE-constrained dynamic optimization

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