Abstract
Renewable energy is the development direction of power system of China. To further boost the development of China's power industry, the digital transformation of the power is underway. This study examined the panorama of digital transformation of power system of China. Through analyzing the effect of digital transformation on renewable energy utilization, three business applications were identified: short-term prediction of renewable energy output, renewable energy equipment maintenance, and intelligent power-grid maintenance. The implementation process and effect of the three business applications are analyzed by using the data covering 2012-2019 from three aspects: the short-term prediction accuracy of renewable energy output, the reduction of the fault restoration mean time for renewable energy equipment to the industry average, the reduction ratio of the mean time of power grid fault restoration to the industry average, and the rate of renewable energy utilization. The results indicated that digital transformation boosted the efficiency of renewable energy utilization. Based on the findings, the following suggestions are proposed for improving the digital transformation of the power industry and thereby promoting renewable energy utilization: 1) the first is to emphasize the scale efficiency of digital application in the early stage of digitization and renewable energy development, and emphasize the technical performance of a digital application in the middle and later stages of development; 2) the second is to enhance data accuracy, such as meteorological data, historical data for renewable energy power stations, power equipment status data, and strengthen the application of algorithms and computational models; 3) the third suggestion is to improve the overall digitalization rate of the power industry.
Highlights
China proposes to achieve carbon peak by 2030 and carbon neutral by 2060, so as to promote low-carbon development of power industry [1]
A variable return to scale based BCC model was used to analyze and evaluate the effect of the digital transformation of power industry on renewable energy utilization in China. This allowed for identifying the overall technical efficiency (OTE), PTE, and SE of renewable energy utilization generated by digital transformation
According to the analysis of variations in the efficiency of renewable energy utilization in the region during 2012– 2019, the OTE of renewable energy utilization rose from 0.582 to 1.092 with the enhancement of the short-term prediction accuracy of renewable energy output and the reduction in the mean time to the fault restoration of renewable energy equipment and the power grid to the industry average. This suggests that the OTE of renewable energy utilization progressively increased with the stimulation of the three factors
Summary
China proposes to achieve carbon peak by 2030 and carbon neutral by 2060, so as to promote low-carbon development of power industry [1]. Three major factors of use effect of these three applications that directly affect renewable energy utilization in the digital transformation process include the following: the short-term prediction accuracy of renewable energy output, the proportion of the mean time for the fault repair of renewable energy equipment to the industry average, and the proportion of the mean time for the fault repair of the power grid to the industry average. These three factors were chosen as the input indicators while the renewable energy utilization rate was chosen as the output indicator for the empirical analysis. Renewable energy utilization rate is obtained by dividing utilization of renewable energy by the actual output value of renewable energy
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