https://orcid.org/0000-0001-8732-3782
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ABSTRACT
As to investigate the impact of parabolic trough collector optical characteristics on the comprehensive performance of solar-driven liquid-gas energy storage power plants, this study establishes a mathematical analysis model for a liquid-gas energy storage power plant with a parabolic trough collector. The effects of direct irradiance, collector tracking mode, and component configuration on collector efficiency, round-trip efficiency, and exergy efficiency are analyzed. The results show that when the direct irradiance exceeds 400 W/m2, the round-trip efficiency of the system decreases while the exergy efficiency increases. For every 100 W/m2 increase in irradiance, the round-trip efficiency decreases by 1.54%, and the exergy efficiency increases by 2.36%. The north-south axis tracking mode is superior to the east-west axis tracking mode and dual-axis tracking mode. The component configuration improves the collector efficiency and round-trip efficiency but decreases the thermal efficiency. In low irradiance conditions (direct irradiance less than or equal to 400 W/m2), the system performance is optimal when the collector optical efficiency is maintained at 74%. Under these conditions, the system achieves a maximum net energy output of 495.12 kW·s/kg, the exergy efficiency of 54.5%, and the round-trip efficiency of 18.96%. In high irradiance conditions (direct irradiance greater than 400 W/m2), a 10% increase in collector optical efficiency leads to a 1.94 kW·s/kg decrease in net energy output, a 3.14% decrease in exergy efficiency, and a 0.05% decrease in round-trip efficiency.
Acknowledgements
The research was supported by the Scientific and Technological Achievements Industrialization Cultivation Fund Project of Northeast Petroleum University (No.15011210801).
The Heilongjiang Province “Double First Class” Discipline Collaborative Innovation Achievement Project (No. LJGXCG2023-108)
The Heilongjiang Province’s Key Research and Development Project: “Leading the Charge with Open Competition” (No. 2023JBGS0021).
Disclosure statement
No potential conflict of interest was reported by the author(s).
Availability of data and material
Data as and where used is credited with references.
Credit author statement
Kaiyi Luo: Conceptualization; Writing – Original Draft; Software.
Yong Zhang: Methodology; Data Curation; Writing – Review & Editing.
Di Wang: Writing – Review & Editing
Dong Li: Resources; Funding acquisition; Project administration.
Yan Lv: Formal analysis; Visualization.
Wei Zhou: Investigation; Supervision.
Additional information
Funding
Notes on contributors
Yong Zhang
Yong Zhang received the Ph.D. degree in chemical engineering and technology from Northeast Petroleum University, Daqing, China, in 2023. He is currently an Associate Professor and the Director of the School of Electronic Science and Technology, Northeast Petroleum University, Daqing, China. Prof. Zhang also acts as the director of the Chinese Society of Artificial Intelligence and the Society of Automation. His research interests include energy efficiency and pipeline leakage fault diagnosis.
Kaiyi Luo
Kaiyi Luo received the B.S. degree in electronic information science and technology from Jinggangshan University, Jian, China, in 2021. She is currently working toward the M.S. degree in optical engineering with the School of Physics and Electronic Engineering, Northeast Petroleum University, Daqing, China. Her research interests include flow field detection of combustion system and solar thermal utilization.
Di Wang
Di Wang received the B.S. degree in energy and power engineering from Yantai University, Yantai, China, in 2015, and the M.S. degree in power engineering from Northeast Petroleum University, Daqing, China, in 2019. He is currently working toward the Ph.D. degree in chemical engineering and technology with the School of Physics and Electronic Engineering, Northeast Petroleum University, Daqing, China. His research interests include flow field detection of combustion system and pollution emissions monitoring in oilfield standoff.
Yan Lv
Yan Lv received the Ph.D. degree in chemical engineering and technology from Northeast Petroleum University, Daqing, China, in 2022. She is currently an Associate Professor with School of Physics and Electronic Engineering, Northeast Petroleum University, Daqing, China. Her research interests include the monitoring of heavy oil thermal recovery parameters and the theory of tunable diode laser absorption spectroscopy.
Wei Zhou
Wei Zhou received the Ph.D. degree in oil and gas engineering from Northeast Petroleum University, Daqing, China, in 2021. She is currently an Associate Professor and the Deputy Director of the School of Electronic Science and Technology, Northeast Petroleum University, Daqing, China. Her research interests include energy efficiency and pipeline leakage fault diagnosis.
Dong Li
Dong Li received the Ph.D. degree in engineering thermophysics from Harbin Institute of Technology, Harbin, China, in 2013. From April 2014 to July 2019, he held a postdoctoral position at Northeast Petroleum University, Daqing, China. He is currently a Full Professor and the Vice Dean of the School of Architecture and Civil Engineering, Northeast Petroleum University, Daqing, China. Prof. Li also acts as the committee member of the Thermal Utilization Professional Committee, China Renewable Energy Society. He has more than 210 publications, including journal articles, research reports, conference papers, and books. His current research interests are energy efficiency, multiphase flow measurement, and photothermal transmission characteristics of gas detection.