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Xiaotao Chen
Qinghai Key Lab of Efficient Utilization of Clean Energy (TusInstitute for Renewable Energy), Qinghai University, Xining 810016, China

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Journal article
Published: 20 January 2021 in Applied Sciences
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Hot dry rock (HDR) power stations have the potential to serve as an energy storage system for large-scale photovoltaic (PV) plants. For flexible operation, thermal storage (TS) power stations are required to coordinate with HDR power stations. In this study, a hybrid power system is constructed by combining the HDR, TS, and PV plants. Game theory is then introduced into the optimal dispatch of the hybrid power system. Considering HDR, TS, and PV as players, non-cooperative and cooperative game dispatching models are established and verified by a case in the Gonghe basin of Qinghai. Finally, the stability of the coalitions and the rationality of allocation of the hybrid power system is verified, and the sensitivity of critical parameters is analyzed. The results demonstrate that the overall payoff of the hybrid power system is increased by 10.15%. The payoff of the HDR power station is increased by 16.5%. The TS power station has obtained 50% of the total extra profits. The PV plant reduces the impact on the grid to obtain the priority of grid connection. Based on these results, a theoretical basis can be provided for developing generation systems based on the HDR resources in the Gonghe Basin.

ACS Style

Yang Si; Laijun Chen; Xuelin Zhang; Xiaotao Chen; Tianwen Zheng; Shengwei Mei. Game Approach to HDR-TS-PV Hybrid Power System Dispatching. Applied Sciences 2021, 11, 914 .

AMA Style

Yang Si, Laijun Chen, Xuelin Zhang, Xiaotao Chen, Tianwen Zheng, Shengwei Mei. Game Approach to HDR-TS-PV Hybrid Power System Dispatching. Applied Sciences. 2021; 11 (3):914.

Chicago/Turabian Style

Yang Si; Laijun Chen; Xuelin Zhang; Xiaotao Chen; Tianwen Zheng; Shengwei Mei. 2021. "Game Approach to HDR-TS-PV Hybrid Power System Dispatching." Applied Sciences 11, no. 3: 914.

Journal article
Published: 20 December 2020 in Entropy
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As a fundamental infrastructure of energy supply for future society, energy Internet (EI) can achieve clean energy generation, conversion, storage and consumption in a more economic and safer way. This paper demonstrates the technology principle of advanced adiabatic compressed air energy storage system (AA-CAES), as well as analysis of the technical characteristics of AA-CAES. Furthermore, we propose an overall architectural scheme of a clean energy router (CER) based on AA-CAES. The storage and mutual conversion mechanism of wind and solar power, heating, and other clean energy were designed to provide a key technological solution for the coordination and comprehensive utilization of various clean energies for the EI. Therefore, the design of the CER scheme and its efficiency were analyzed based on a thermodynamic simulation model of AA-CAES. Meanwhile, we explored the energy conversion mechanism of the CER and improved its overall efficiency. The CER based on AA-CAES proposed in this paper can provide a reference for efficient comprehensive energy utilization (CEU) (93.6%) in regions with abundant wind and solar energy sources.

ACS Style

Chenyixuan Ni; Xiaodai Xue; Shengwei Mei; Xiao-Ping Zhang; Xiaotao Chen. Technological Research of a Clean Energy Router Based on Advanced Adiabatic Compressed Air Energy Storage System. Entropy 2020, 22, 1440 .

AMA Style

Chenyixuan Ni, Xiaodai Xue, Shengwei Mei, Xiao-Ping Zhang, Xiaotao Chen. Technological Research of a Clean Energy Router Based on Advanced Adiabatic Compressed Air Energy Storage System. Entropy. 2020; 22 (12):1440.

Chicago/Turabian Style

Chenyixuan Ni; Xiaodai Xue; Shengwei Mei; Xiao-Ping Zhang; Xiaotao Chen. 2020. "Technological Research of a Clean Energy Router Based on Advanced Adiabatic Compressed Air Energy Storage System." Entropy 22, no. 12: 1440.

Journal article
Published: 21 July 2020 in Applied Sciences
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Cogeneration is becoming increasingly popular in building and community energy systems with demands on electricity and heat, which is suitable for residential and industrial use in remote areas. This paper considers a stand-alone cogeneration energy hub. The electrical and thermal energies are produced by a combined heat and power (CHP) unit, photovoltaic panels, and a solar thermal collector. Since solar units generate no electricity and heat during the night, energy storage units which shift demands over time can promote the usage of solar energy and reduce the fuel cost of the CHP unit. This paper proposes a method to retrieve the optimal operation cost as an explicit function in the capacity parameters of electric and thermal energy storage units, reflecting the value of energy storage in the cogeneration energy hub. The capacity parameter set is divided into a collection of polyhedrons; on each polyhedron, the optimal value is an affine function in the capacity parameters. Furthermore, the optimal sizes of system components are discussed. The capacity of the CHP unit is determined from a linear program, ensuring supply adequacy; the capacities of solar generation and energy storage units are calculated based on the cost reduction and the budget. Case studies demonstrate the effectiveness of the proposed method.

ACS Style

Xiaotao Chen; Yang Si; Chengkui Liu; Laijun Chen; Xiaodai Xue; Yongqing Guo; Shengwei Mei. The Value and Optimal Sizes of Energy Storage Units in Solar-Assist Cogeneration Energy Hubs. Applied Sciences 2020, 10, 4994 .

AMA Style

Xiaotao Chen, Yang Si, Chengkui Liu, Laijun Chen, Xiaodai Xue, Yongqing Guo, Shengwei Mei. The Value and Optimal Sizes of Energy Storage Units in Solar-Assist Cogeneration Energy Hubs. Applied Sciences. 2020; 10 (14):4994.

Chicago/Turabian Style

Xiaotao Chen; Yang Si; Chengkui Liu; Laijun Chen; Xiaodai Xue; Yongqing Guo; Shengwei Mei. 2020. "The Value and Optimal Sizes of Energy Storage Units in Solar-Assist Cogeneration Energy Hubs." Applied Sciences 10, no. 14: 4994.

Journal article
Published: 13 July 2020 in Entropy
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The comprehensive utilization technology of combined cooling, heating and power (CCHP) systems is the leading edge of renewable and sustainable energy research. In this paper, we propose a novel CCHP system based on a hybrid trigenerative compressed air energy storage system (HT-CAES), which can meet various forms of energy demand. A comprehensive thermodynamic model of the HT-CAES has been carried out, and a thermodynamic performance analysis with energy and exergy methods has been done. Furthermore, a sensitivity analysis and assessment capacity for CHP is investigated by the critical parameters effected on the performance of the HT-CAES. The results indicate that round-trip efficiency, electricity storage efficiency, and exergy efficiency can reach 73%, 53.6%, and 50.6%, respectively. Therefore, the system proposed in this paper has high efficiency and flexibility to jointly supply multiple energy to meet demands, so it has broad prospects in regions with abundant solar energy resource.

ACS Style

Xiaotao Chen; Xiaodai Xue; Yang Si; Chengkui Liu; Laijun Chen; Yongqing Guo; Shengwei Mei. Thermodynamic Analysis of a Hybrid Trigenerative Compressed Air Energy Storage System with Solar Thermal Energy. Entropy 2020, 22, 764 .

AMA Style

Xiaotao Chen, Xiaodai Xue, Yang Si, Chengkui Liu, Laijun Chen, Yongqing Guo, Shengwei Mei. Thermodynamic Analysis of a Hybrid Trigenerative Compressed Air Energy Storage System with Solar Thermal Energy. Entropy. 2020; 22 (7):764.

Chicago/Turabian Style

Xiaotao Chen; Xiaodai Xue; Yang Si; Chengkui Liu; Laijun Chen; Yongqing Guo; Shengwei Mei. 2020. "Thermodynamic Analysis of a Hybrid Trigenerative Compressed Air Energy Storage System with Solar Thermal Energy." Entropy 22, no. 7: 764.