{"title":"Analysis of the Nuclear Power Operations Model and the Impact of Changes in the Labor Force From the Annual Reports of the Company","authors":"Tao Zhang, Jianqiang Shan, Shengzhi Liu","doi":"10.1155/er/5312098","DOIUrl":null,"url":null,"abstract":"<p>Nuclear power operations require the deployment of a large number of highly skilled and experienced employees. With the polarization of the labor force in society and the change in the concept of employment, the labor force of nuclear power is undergoing significant changes and has a potential impact on the operations of nuclear power in China. On the basis of the construction of the nuclear power operations model, the relationship between the change in the labor force and the nuclear power operations was revealed. The relationship between the age, education level, and skill level of the nuclear power operators and the average energy factor, the profit rate, and the number of operation events was analyzed according to publicly available data from the company and the National Nuclear Security Administration. The results reflect significant changes in the labor force of nuclear power in China and its potential impact. It was suggested that artificial intelligence technology should be used to change labor-centric operation mode, optimize the structure of the nuclear power labor force, reduce the demand for experienced high-skilled employees, alleviate the pressure of transformation and upgrading caused by changes in social environment, and promote the sustainable development of nuclear power operations to achieve the Sustainable Development Goals (SDGs) of the United Nations.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5312098","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Energy Research","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/er/5312098","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Nuclear power operations require the deployment of a large number of highly skilled and experienced employees. With the polarization of the labor force in society and the change in the concept of employment, the labor force of nuclear power is undergoing significant changes and has a potential impact on the operations of nuclear power in China. On the basis of the construction of the nuclear power operations model, the relationship between the change in the labor force and the nuclear power operations was revealed. The relationship between the age, education level, and skill level of the nuclear power operators and the average energy factor, the profit rate, and the number of operation events was analyzed according to publicly available data from the company and the National Nuclear Security Administration. The results reflect significant changes in the labor force of nuclear power in China and its potential impact. It was suggested that artificial intelligence technology should be used to change labor-centric operation mode, optimize the structure of the nuclear power labor force, reduce the demand for experienced high-skilled employees, alleviate the pressure of transformation and upgrading caused by changes in social environment, and promote the sustainable development of nuclear power operations to achieve the Sustainable Development Goals (SDGs) of the United Nations.
期刊介绍:
The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability.
IJER is concerned with the development and exploitation of both advanced traditional and new energy sources, systems, technologies and applications. Interdisciplinary subjects in the area of novel energy systems and applications are also encouraged. High-quality research papers are solicited in, but are not limited to, the following areas with innovative and novel contents:
-Biofuels and alternatives
-Carbon capturing and storage technologies
-Clean coal technologies
-Energy conversion, conservation and management
-Energy storage
-Energy systems
-Hybrid/combined/integrated energy systems for multi-generation
-Hydrogen energy and fuel cells
-Hydrogen production technologies
-Micro- and nano-energy systems and technologies
-Nuclear energy
-Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass)
-Smart energy system