Paper
7 September 2022 Energy consumption analysis of weather radar system in China
Yujing Cao, Chuanhai Zhu, Qi Zheng, Zhaobin Sun, Rongwei Liao
Author Affiliations +
Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232945 (2022) https://doi.org/10.1117/12.2646752
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China
Abstract
Integrated meteorological observation equipment is the basis to support the operation of meteorological services. China's meteorological departments have built large-scale integrated meteorological observation equipment, which needs to consume a considerable amount of electrical energy to maintain the normal operation of the business. Among them, the weather radar system consumes the largest amount of electricity. However, there has been a lack of energy consumption analysis of weather radar systems at home and abroad. In this paper, the measured power consumption data of 19 radar stations in three provinces (autonomous regions) in China for two to three years are selected, and the comprehensive energy consumption calculation method is used to analyze the energy consumption monthly and regionally. The variation characteristics of China's weather radar energy consumption are obtained, the overall energy consumption of the weather radar system in the industry is estimated, and the suggestions for energy saving and consumption reduction are put forward.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yujing Cao, Chuanhai Zhu, Qi Zheng, Zhaobin Sun, and Rongwei Liao "Energy consumption analysis of weather radar system in China", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232945 (7 September 2022); https://doi.org/10.1117/12.2646752
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KEYWORDS
Radar

Environmental sensing

Meteorology

Carbon

Floods

Climate change

Humidity

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