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A Second Tutorial Review of the Solar Power Curve: Applications in Energy Meteorology

Yang, Dazhi and Liu, Bai and Zhang, Hao and Xia, Xiang’ao and Shen, Yanbo and Mayer, Martin János (2025) A Second Tutorial Review of the Solar Power Curve: Applications in Energy Meteorology. ADVANCES IN ATMOSPHERIC SCIENCES, 42 (2). pp. 269-296. ISSN 0256-1530

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Abstract

The fundamental scientific and engineering knowledge concerning the solar power curve, which maps solar irradiance and other auxiliary meteorological variables to photovoltaic output power, has been gathered and put forward in the preceding tutorial review. Despite the many pages of that review, it was incomplete in the sense that it did not elaborate on the applications of this very important tool of solar energy meteorology. Indeed, solar power curves are ubiquitously needed in a broad spectrum of solar forecasting and solar resource assessment tasks. Hence, this tutorial review should continue from where it left off and present examples concerning the usage of solar power curves. In a nutshell, this tutorial review, together with the preceding one, should elucidate how surface shortwave radiation data, be they ground-based, satellite-retrieved, or model-output, are bridged to various power system operations via solar power curves. © The Author(s) 2025.

Item Type: Article
Additional Information: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China Public Meteorological Service Centre, China Meteorological Administration, Beijing, 100089, China Department of Energy Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Müegyetem rkp. 3, Budapest, H-1111, Hungary Cited By :1 Export Date: 10 January 2025 Correspondence Address: Liu, B.; School of Electrical Engineering and Automation, China; email: liubai_12138@163.com Correspondence Address: Mayer, M.J.; Department of Energy Engineering, Müegyetem rkp. 3, Hungary; email: mayer@energia.bme.hu Funding details: Budapesti Műszaki és Gazdaságtudományi Egyetem, BME Funding details: National Natural Science Foundation of China, NSFC, 42375192 Funding details: National Natural Science Foundation of China, NSFC Funding details: China Meteorological Administration, CMA, QBZ202315, 42030608 Funding details: China Meteorological Administration, CMA Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, NKFIA, OTKA-FK 142702 Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, NKFIA Funding text 1: Funding note : Open access funding provided by Budapest University of Technology and Economics. Funding text 2: Dazhi YANG is supported by the National Natural Science Foundation of China (project no. 42375192) and China Meteorological Administration Climate Change Special Program (CMA-CCSP; project no. QBZ202315). Xiang\\u2019ao XIA is supported by the National Natural Science Foundation of China (project no. 42030608). Martin J. MAYER is supported by the National Research, Development and Innovation Fund, project no. OTKA-FK 142702 and the J\\u00E1nos Bolyai Research Scholarship.
Uncontrolled Keywords: review; Solar forecasting; Resource assessment; Model chain; Solar power curve;
Subjects: T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 16 Sep 2025 15:39
Last Modified: 16 Sep 2025 15:39
URI: https://real.mtak.hu/id/eprint/224376

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