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Fan G, Zhang J, Yuan T, Wang C, Hou Y, Gao X, Xu J, Che D. Experimental Study on the Erosion-Corrosion Characteristics of Desulfurization Slurry on Stainless Steel Pipe Materials. ACS OMEGA 2024; 9:7132-7142. [PMID: 38371767 PMCID: PMC10870286 DOI: 10.1021/acsomega.3c09065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/13/2024] [Accepted: 01/16/2024] [Indexed: 02/20/2024]
Abstract
The recovery of low-grade waste heat from power plants greatly benefits energy conservation and emission reduction during electricity generation, while the waste heat utilization directly from desulfurization slurry is a significantly promising method to deeply recover such low-grade energy and has been developed in practical application. However, the pipe materials are subjected to erosion and corrosion challenges due to the high level of solid compositions and the presence of harmful ions, such as Cl-1, which requires further evaluation under the condition of slurry heat exchange. The present study aimed at an experimental study on the erosion-corrosion characteristics of desulfurization slurry on three types of stainless steel, including type 304, 316L, and 2205. Both mass loss and micromorphology features were analyzed with possible mechanisms elucidated. The erosion-corrosion rate is weak at low temperatures, while the increase in the slurry temperature clearly promotes its rate. The influence of the temperature on the corrosion resistance of 304 is much greater than that of 2205. With an increase in duration time, the weight loss rate of stainless steel in the desulfurization slurry declines, and the changing trend of metal mass slightly slows down. The present study offers a better understanding of the erosion-corrosion behaviors of three types of stainless steel under flow and heat transfer conditions of a desulfurization slurry.
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Affiliation(s)
- Gaofeng Fan
- State
Key Laboratory of Multiphase Flow in Power Engineering, School of
Energy and Power Engineering, Xi’an
Jiaotong University, Xi’an 710049, China
- Henan
Hanzhiyue New Material Co., Ltd., Zhengzhou 450000, China
| | - Jinming Zhang
- State
Key Laboratory of Multiphase Flow in Power Engineering, School of
Energy and Power Engineering, Xi’an
Jiaotong University, Xi’an 710049, China
| | - Tianlin Yuan
- State
Key Laboratory of Multiphase Flow in Power Engineering, School of
Energy and Power Engineering, Xi’an
Jiaotong University, Xi’an 710049, China
| | - Chang’an Wang
- State
Key Laboratory of Multiphase Flow in Power Engineering, School of
Energy and Power Engineering, Xi’an
Jiaotong University, Xi’an 710049, China
| | - Yujie Hou
- State
Key Laboratory of Multiphase Flow in Power Engineering, School of
Energy and Power Engineering, Xi’an
Jiaotong University, Xi’an 710049, China
| | - Xinyue Gao
- State
Key Laboratory of Multiphase Flow in Power Engineering, School of
Energy and Power Engineering, Xi’an
Jiaotong University, Xi’an 710049, China
| | - Jie Xu
- Henan
Hanzhiyue New Material Co., Ltd., Zhengzhou 450000, China
| | - Defu Che
- State
Key Laboratory of Multiphase Flow in Power Engineering, School of
Energy and Power Engineering, Xi’an
Jiaotong University, Xi’an 710049, China
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Modeling and Optimization of the Flue Gas Heat Recovery of a Marine Dual-Fuel Engine Based on RSM and GA. Processes (Basel) 2022. [DOI: 10.3390/pr10040674] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Implementation of flue gas waste heat recovery is an effective way to improve the energy utilization of marine engines. This paper aims to model and optimize a marine four-stroke dual-fuel (DF) engine coupled with a flue gas waste heat recovery system. Firstly, the DF engine and waste heat recovery system were respectively modeled in GT-Power and Simulink environments and verified with experimental data. Then, a regression model was built using the response surface method, with the intake temperature, compression ratio, and pilot fuel injection timing as input parameters and parametric analysis was performed. Finally, multi-objective optimization of the waste heat recovery system was performed using a genetic algorithm. The result showed that the optimal solution is obtained when the intake temperature is 306.18 K, the geometric compression ratio is 14.4, and the pilot fuel injection timing is −16.68 °CA after the top dead center. The corresponding brake-specific fuel consumption was 155.18 g/kWh, reduced by 3.24%, and the power was 8025.62 kW, increased by 0.32%. At the same time, 280.98 kW of flue gas waste heat generation was obtained.
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