Research on English Teaching of Solar Energy and Photovoltaic Power Generation Technology

As an emerging energy development industry, solar-photovoltaic power generation technology has the problems of inaccurate translation and translation bias, which affects its long-term development. Therefore, improving the English teaching level of solar-photovoltaic power generation technology majors is an urgent problem to be solved. In order to explore the relationship between solar-photovoltaic power generation technology and the professional practice of English teaching, this paper establishes a vocabulary set of English teaching based on the Clicker calculation model to match the needs of solar-photovoltaic power generation technology majors. Then, combined with teaching theory and intelligent algorithm, the translation constraint feature was used to call and extract data, so as to verify the matching accuracy of solar-photovoltaic power generation technology and English teaching practice. The results show that the matching adjustment coefficients t=-2.822 and df=0.23, and the professional adjustment coefficients t=-3.011 and df=0.85 in the proposed model have significant changes, which are significantly better than those of the manual algorithm. Moreover, the matching accuracy of the Clicker calculation model is more than 95%. The results show that there is a positive correlation between solar-photovoltaic power generation technology and English teaching practice, and the Clicker calculation model can provide support for the matching of solar-photovoltaic power generation technology and English teaching practice. © 2024, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.