A thermochemical energy storage (TCES) system can adjust problems of unstable energy supply for solar concentrating power plants. MnO/MnO system is a promising TCES system, but it has the problem of a difficult reoxidation process. In this paper, TiO was doped into the manganese oxide TCES system to solve this problem and the factors which influence the performance of this method were analyzed. The different performances between commercial MnO (Mn) and MnO synthesized by the Pechini method (PCMn), and different scales of doping agents (25Ti, 100Ti) were compared. Because of the formation of the MnTiO, adding TiO into the manganese oxide TCES system could improve its reoxidation process obviously. During single complete redox process, PCMn had better performance than Mn whether doped with TiO or not, but Mn had a higher optimum oxidation temperature and a narrow temperature range of the redox reactions after adding TiO. Adding 25Ti could bring higher energy storage density than adding 100Ti, and the optimal doping ratio was 0.05. As the doping ratio of 25Ti was increased, the activation energy ( ) was increased and then decreased. The of the samples doped with 25Ti was higher than that doped with 100Ti. Moreover, the of the 25Mn0.05 was decreased firstly and then was increased in the later stage of the reaction. The doped Mn samples exhibited better performance and lower attenuation than the doped PCMn samples after 30 cycles. During cyclic tests, the MnTiO was initially formed at the boundary between MnO and TiO, and it was generated continuously with the extension of operating time. Therefore, the operating temperature, morphology of the MnO, the doping agents, the doping ratio, and the phase change with the operating time should be all considered when doping TiO into the MnO/MnO TCES system to improve its performance. Moreover, the results obtained from Mn-Ti systems would make a lot sense when other similar systems are considered, such as Mn-Fe, Mn-Si, Mn-Cr,
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http://dx.doi.org/10.1039/d1ra05472d | DOI Listing |
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Department of Pharmaceutical Sciences, Computational Chemical Genomics Screening Center, and Pharmacometrics & System Pharmacology PharmacoAnalytics, School of Pharmacy, National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA 15261, United States. Electronic address:
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