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Xu Z, Yang Y, Mao S, Wu W, Yang Q. Review on corrosion of alloys for application in supercritical carbon dioxide brayton cycle. Heliyon 2023; 9:e22169. [PMID: 38034803 PMCID: PMC10685363 DOI: 10.1016/j.heliyon.2023.e22169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/27/2023] [Accepted: 11/06/2023] [Indexed: 12/02/2023] Open
Abstract
The supercritical carbon dioxide (S-CO2) Brayton cycle is considered a promising power generation system because of its high efficiency, simple layout, and compact configuration. Furthermore, it is applicable to thermal and nuclear power generation. Because the key end equipment of this system is exposed to a high-temperature and high-pressure S-CO2 environment for a long duration, the high-temperature corrosion resistance of this equipment has been investigated extensively. This paper provides a review of recent studies pertaining to the corrosion behavior of candidate materials for high-temperature components in the S-CO2 Brayton cycle system. Additionally, the effects of internal microstructure, metal element content and external environment (temperature, pressure, impurities, etc.) on the corrosion behavior of alloys, including oxidation and carburizing corrosion are analyzed. Problems pertaining to the corrosion behavior of candidate materials are highlighted, and possible areas for future research are proposed.
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Affiliation(s)
- Ziyuan Xu
- School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Yingying Yang
- School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
- Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, Shanghai, 200093, China
| | - Shijie Mao
- School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Weidong Wu
- School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Qiguo Yang
- School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
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Cui Y, Zou Y, Jiang S, Zhong W. Combustion Characteristic Prediction of a Supercritical CO 2 Circulating Fluidized Bed Boiler Based on Adaptive GWO-SVM. ACS OMEGA 2023; 8:10160-10175. [PMID: 36969401 PMCID: PMC10034981 DOI: 10.1021/acsomega.2c07483] [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: 11/22/2022] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
The development of a new and efficient supercritical carbon dioxide (S-CO2) power cycle system is one of the important technical ways to break through the bottleneck of coal power development, improve the efficiency of power generation, and realize energy saving and emission reduction. In order to simplify the complicated workload and save the huge time cost of numerical simulations on combustion characteristics, it is of great significance to accurately make the combustion characteristic prediction according to the operating performance of the S-CO2 CFB boiler. This study proposed a combustion characteristic prediction model corresponding to the S-CO2 CFB boiler based on the adaptive gray wolf optimizer support vector machine (AGWO-SVM). The parameters of the gray wolf optimizer algorithm were processed adaptively first combined with the boiler characteristics, and then the adaptive gray wolf optimizer algorithm was integrated with the support vector machine to solve the imbalance of local and global search problems of particles being easy to gather in a certain position in the process of pattern recognition. The novel method effectively predicts the boiler in the scaling process from the aspect of boiler capacity, optimizes the combustion characteristic expression by numerical simulations, greatly saves time cost and applicability of enlarged design by altering complex numerical simulations, and lays the application foundation of the S-CO2 CFB boiler in the industrial field with acceptable operation accuracy.
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Affiliation(s)
- Ying Cui
- School
of Automotive and Transportation, Wuxi Institute
of Technology, Binhu District, Wuxi, Jiangsu
Province 214000, P.R.
China
- Key
Laboratory of Energy Conversion and Process Measurement and Control
Ministry of Education, School of Energy and Environment, Southeast University, Xuanwu District, Nanjing, Jiangsu Province 210096, P.R. China
- ARC
Research Hub for Computational Particle Technology, Department of
Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Ye Zou
- School
of Automotive and Transportation, Wuxi Institute
of Technology, Binhu District, Wuxi, Jiangsu
Province 214000, P.R.
China
| | - Shujun Jiang
- School
of Automotive and Transportation, Wuxi Institute
of Technology, Binhu District, Wuxi, Jiangsu
Province 214000, P.R.
China
| | - Wenqi Zhong
- Key
Laboratory of Energy Conversion and Process Measurement and Control
Ministry of Education, School of Energy and Environment, Southeast University, Xuanwu District, Nanjing, Jiangsu Province 210096, P.R. China
- Centre
for Simulation and Modelling of Particulate Systems, Southeast University-Monash University Joint Research Institute, Suzhou 215000, PR China
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Scale-up prediction of supercritical CO2 circulating fluidized bed boiler based on adaptive PSO-SVM. POWDER TECHNOL 2023. [DOI: 10.1016/j.powtec.2023.118328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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Chen D, Han Z, Bai Y, Guo D, Zhao L, Li P. Layout Comparison and Parameter Optimization of Supercritical Carbon Dioxide Coal-Fired Power Generation Systems under Environmental and Economic Objectives. ENTROPY (BASEL, SWITZERLAND) 2022; 24:1123. [PMID: 36010787 PMCID: PMC9407418 DOI: 10.3390/e24081123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 08/11/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
In the current studies, the supercritical carbon dioxide coal-fired power generation systems show efficiency and cost advantages over the traditional steam-based power systems. However, few studies have considered simultaneously environmental and economic objectives in the multi-objective analysis process. This study conducts a layout comparison and parameter optimization of the systems under the above two objectives. Initially, the thermodynamic, environmental, and economic models of the systems are established. Subsequently, the optimal layout is determined by the two-stage layout comparison. Further, multi-objective optimization is performed for the selected layout, and the optimal design parameters are determined by the decision process. Finally, the sensitivities of three selected parameters to the optimization results are analyzed. The results show that the basic layout coupled with overlap and intercooling schemes is optimal. Its ultimate environmental impact (UEI) and levelized cost of electricity (LCOE) are 219.8 kp-eq and 56.9 USD/MWh, respectively. The two objectives UEI and LCOE are conflicting. Based on a trade-off between them, the maximum temperature/pressure of the system is determined to be 635.3 °C/30.1 MPa. The coal price per unit of heat shows the highest sensitivity, and the pinch temperature difference of the recuperator shows opposite sensitivities at the UEI below 218 kp-eq and above 223 kp-eq.
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Affiliation(s)
- Dongxu Chen
- School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
| | - Zhonghe Han
- School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
- Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology, North China Electric Power University, Baoding 071003, China
| | - Yaping Bai
- School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
| | - Dongyang Guo
- School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
| | - Linfei Zhao
- School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
| | - Peng Li
- School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
- Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology, North China Electric Power University, Baoding 071003, China
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Yang S, Yang D, Shi W, Deng C, Chen C, Feng S. Global evaluation of carbon neutrality and peak carbon dioxide emissions: current challenges and future outlook. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022:10.1007/s11356-022-19764-0. [PMID: 35377119 PMCID: PMC8978508 DOI: 10.1007/s11356-022-19764-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 03/13/2022] [Indexed: 05/29/2023]
Abstract
With the acceleration of urbanization and industrialization, carbon neutrality and peak carbon dioxide emissions have become common sustainability goals worldwide. However, there are few literature statistics and econometric analyses targeting carbon neutrality and peak carbon dioxide emissions, especially the publication trends, geographic distribution, citation literature, and research hotspots. To conduct an in-depth analysis of existing research fields and future perspectives in this research area, 1615 publications from the Web of Science Core Collection, between 2010 and 2020, were evaluated by using three analysis tools, under the framework of the bibliometrics method. These publications are distributed between the start-up (2010-2015) and the stable development (2016-2020) phases. Cluster analysis suggests three areas of ongoing research: energy-related carbon emissions, methane emissions, and energy biomass. Overall, future trends in this field include cumulative carbon emissions, the residential building sector, methane emission measurement, nitrogen fertilization, land degradation neutrality, and sciamachy satellite methane measurement. Finally, this paper further examines the most comprehensive coverage of nitrogen fertilization and the most recent research of the residential building sector. In view of the statistical clusters from 1615 publications, this paper provides new insights and perspectives for climate-environment-related researchers and policymakers. Specifically, countries could apply nitrogen fertilizer to crops according to the conditions of different regions. Additionally, experiences from developed countries could be learned from, including optimizing the energy supply structure of buildings and increasing the use of clean energy to reduce CO2 emissions from buildings.
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Affiliation(s)
- Song Yang
- School of Energy and Power Engineering, Xi'an Jiaotong University, Xianning West Road, Xi'an, Shaanxi, 710049, China
| | - Dongzhao Yang
- School of Energy and Power Engineering, Xi'an Jiaotong University, Xianning West Road, Xi'an, Shaanxi, 710049, China
| | - Wei Shi
- School of Energy and Power Engineering, Xi'an Jiaotong University, Xianning West Road, Xi'an, Shaanxi, 710049, China
| | - Chenchen Deng
- Jinhe Center for Economic Research, Xi'an Jiaotong University, Xianning West Road, Xi'an, Shaanxi, 710049, China
| | - Chuangbin Chen
- Joint Doctoral Program for Sustainability Research, Tokyo University of Agriculture and Technology, 2-24-16 Naka-Cho, Koganei-City, Tokyo, 184-8588, Japan.
| | - Songjie Feng
- School of Electrical Engineering, Xi'an Jiaotong University, Xianning West Road, Xi'an, Shaanxi, 710049, China
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Design Optimization of Plate-Fin Heat Exchanger in a Gas Turbine and Supercritical Carbon Dioxide Combined Cycle with Thermal Oil Loop. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app12010042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This paper presents an investigation on the optimum design for a plate-fin heat exchanger (PFHE) of a gas and supercritical carbon dioxide combined cycle which uses thermal oil as intermediate heat-transfer fluid. This may promote the heat transfer from low heat-flux exhaust to a high heat-flux supercritical carbon dioxide stream. The number of fin layers, plate width and geometrical parameters of fins on both sides of PFHE are selected as variables to be optimized by a non-dominated sorting genetic algorithm-II (NSGA-II), which is a multi-objective genetic algorithm. For the confliction of heat transfer area and pressure drop on the exhaust side, which are the objective indexes, the result of NSGA-II is a Pareto frontier. The technique for order of preference by similarity to ideal solution (TOPSIS) approach is applied to choose the optimum solution from the Pareto frontier. Finally, further simulation is performed to analyze the effect of each parameter to objective indexes and confirm the rationality of optimization results.
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Liu J, Yu A, Lin X, Su W, Ou S. Performances of Transcritical Power Cycles with CO 2-Based Mixtures for the Waste Heat Recovery of ICE. ENTROPY 2021; 23:e23111551. [PMID: 34828249 PMCID: PMC8618096 DOI: 10.3390/e23111551] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 11/14/2021] [Accepted: 11/17/2021] [Indexed: 11/24/2022]
Abstract
In the waste heat recovery of the internal combustion engine (ICE), the transcritical CO2 power cycle still faces the high operation pressure and difficulty in condensation. To overcome these challenges, CO2 is mixed with organic fluids to form zeotropic mixtures. Thus, in this work, five organic fluids, namely R290, R600a, R600, R601a, and R601, are mixed with CO2. Mixture performance in the waste heat recovery of ICE is evaluated, based on two transcritical power cycles, namely the recuperative cycle and split cycle. The results show that the split cycle always has better performance than the recuperative cycle. Under design conditions, CO2/R290(0.3/0.7) has the best performance in the split cycle. The corresponding net work and cycle efficiency are respectively 21.05 kW and 20.44%. Furthermore, effects of key parameters such as turbine inlet temperature, turbine inlet pressure, and split ratio on the cycle performance are studied. With the increase of turbine inlet temperature, the net works of the recuperative cycle and split cycle firstly increase and then decrease. There exist peak values of net work in both cycles. Meanwhile, the net work of the split cycle firstly increases and then decreases with the increase of the split ratio. Thereafter, with the target of maximizing net work, these key parameters are optimized at different mass fractions of CO2. The optimization results show that CO2/R600 obtains the highest net work of 27.43 kW at the CO2 mass fraction 0.9 in the split cycle.
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Affiliation(s)
- Jinghang Liu
- School of Energy Science and Engineering, Central South University, Changsha 410083, China; (J.L.); (A.Y.); (S.O.)
| | - Aofang Yu
- School of Energy Science and Engineering, Central South University, Changsha 410083, China; (J.L.); (A.Y.); (S.O.)
| | - Xinxing Lin
- CTG (China Three Gorges Corporation) Science and Technology Research Institute, Beijing 100038, China;
| | - Wen Su
- School of Energy Science and Engineering, Central South University, Changsha 410083, China; (J.L.); (A.Y.); (S.O.)
- Correspondence:
| | - Shaoduan Ou
- School of Energy Science and Engineering, Central South University, Changsha 410083, China; (J.L.); (A.Y.); (S.O.)
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Bibliometric Analysis on Supercritical CO 2 Power Cycles for Concentrating Solar Power Applications. ENTROPY 2021; 23:e23101289. [PMID: 34682014 PMCID: PMC8534693 DOI: 10.3390/e23101289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 09/24/2021] [Accepted: 09/27/2021] [Indexed: 11/16/2022]
Abstract
In recent years, supercritical CO2 power cycles have received a large amount of interest due to their exceptional theoretical conversion efficiency above 50%, which is leading a revolution in power cycle research. Furthermore, this high efficiency can be achieved at a moderate temperature level, thus suiting concentrating solar power (CSP) applications, which are seen as a core business within supercritical technologies. In this context, numerous studies have been published, creating the need for a thorough analysis to identify research areas of interest and the main researchers in the field. In this work, a bibliometric analysis of supercritical CO2 for CSP applications was undertaken considering all indexed publications within the Web of Science between 1990 and 2020. The main researchers and areas of interest were identified through network mapping and text mining techniques, thus providing the reader with an unbiased overview of sCO2 research activities. The results of the review were compared with the most recent research projects and programs on sCO2 for CSP applications. It was found that popular research areas in this topic are related to optimization and thermodynamics analysis, which reflects the significance of power cycle configuration and working conditions. Growing interest in medium temperature applications and the design of sCO2 heat exchangers was also identified through density visualization maps and confirmed by a review of research projects.
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A Bibliometric Study on Integrated Solar Combined Cycles (ISCC), Trends and Future Based on Data Analytics Tools. SUSTAINABILITY 2020. [DOI: 10.3390/su12198217] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
In this paper, a bibliometric analysis was performed in order to analyze the state of the art and publication trends on the topic of ISCC (Integrated Solar Combined Cycles) for the period covering 1990 to July 2020. The Web of Science (WOS) database was consulted, and 1277 publications from 3157 different authors and 1102 different institutions, distributed among 78 countries, were retrieved as the corpus of the study. The VOSViewer software tool was used for the post-processing of the WOS corpus, and for the network data mapping. Multiple bibliometric indicators, such as the number of citations, keyword occurrences, the authors’ affiliations, and the authors, among others, were analysed in this paper in order to find the main research trends on the ISCC topic. The analysis performed in this paper concluded that the main publication source for ISCC research was Energy Conversion and Management, in terms of the total number of publications (158), but Solar Energy had the highest number of citations on the ISCC topic (4438). It was also found that China was the most productive country in terms of ISCC publications (241), and the Chinese Academy of Sciences was the most productive institution (52). Nevertheless, the author with the most publications on ISCC was I. Dincer, from Ontario Tech University (24). Based on publication keywords, a series of recommendations for future developments in the ISCC topic were derived, as well as the ways in which those ideas are connected to the global state of solar energy research.
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