As China’s first new energy comprehensive demonstration zone, Ningxia’s solar photovoltaic (PV) industry has developed rapidly, but it still faces shortcomings in terms of intelligence and digitalization. This study focuses on the application and construction of an intelligent big data platform based on Narrowband Internet of Things (NB-IoT) technology within Ningxia’s solar PV industry. It explores the application trends of digital technology in the energy sector, particularly in the PV industry under the backdrop of energy reform, analyzes the technological development status of the smart energy field both domestically and internationally, and details the research methods and design components of the platform (including the photovoltaic base data platform, outdoor mobile application, remote data system, and back-office management system). The study discusses the opportunities and challenges Ningxia’s PV industry faces and proposes a construction pathway. It provides a theoretical foundation and technical support for the digital transformation of Ningxia’s PV industry, facilitating industrial upgrading and sustainable development. Although the current research is limited to the proposed design scheme, it establishes a basis for future empirical research and platform development.
Afonasova MA, Panfilova EE, Galichkina MA, et al., 2019, Digitalization in Economy and Innovation: The Effect on Social and Economic Processes. Polish Journal of Management Studies, 19(2): 22–32.
Winter CJ, Sizmann RL, Vant-Hull LL, 2012, Solar Power Plants: Fundamentals, Technology, Systems, Economics. Springer Science& Business Media, Berlin.
Jiang H, Jin Y, Ye X, et al., 2020, China Photovoltaic Industry 2019 Review and 2020 Outlook. Solar Energy, 2020(03): 14–23.
People’s Government of Ningxia Hui Autonomous Region, 2021, Outline of the 14th Five-Year Plan for National Economic and Social Development of Ningxia Hui Autonomous Region and the Long-range Goals to 2035. People’s Government of Ningxia Hui Autonomous Region, Yinchuan.
Asmelash E, Prakash G, Leme R, et al., 2019, Future of Solar Photovoltaic: Deployment, Investment, Technology, Grid Integration and Socio-Economic Aspects (A Global Energy Transformation). International Renewable Energy Agency, Abu Dhabi.
Guo K, Chen W, Wu K, et al., 2018, New Trends of International Energy Technology Development and its Revelation to Our Country. The World Science and Technology Research and Development, 40(03): 227–238. https://doi.org/10.16507/j.iSSN.1006-6055.2018.05.005
Luo Y, 2022, Data Governance Mechanism and Countermeasure of Promoting Enterprise Digital Transformation. Business and Management, 2022: 1–9.
Zuo Y, Tao F, Nee AY, 2018, An Internet of Things and Cloud-Based Approach for Energy Consumption Evaluation and Analysis for a Product. Int. Comput. Integr. Manuf., 31(4–5): 337–348.
Rajasekar V, 2015, Indoor Soiling Method and Outdoor Statistical Risk Analysis of Photovoltaic Power Plants, thesis, Arizona State University.
Luo W, 2019, Analysis of the Long-Term Performance Degradation of Crystalline Silicon Photovoltaic Modules in Tropical Climates. IEEE Journal of Photovoltaics, 9(1): 266–271. https://doi.org/10.1109/JPHOTOV.2018.2877007
Kong D, Liao R, 2022, Promulgation of the 14th Five-Year Plan for Energy Science and Technology Innovation—Five Major Routes to Tackle Frontier Technologies. Oil & Gas & New Energy, 34(02): 28.
Han X, Guo J, Pu T, et al., 2022, Theoretical Basis and Development Prospect of Electric Power Artificial Intelligence Technology (I): Hypothesis Analysis and Application Paradigm. Proceedings of the CSEE, 2022: 1–16. http://kns.cnki.net/kcms/detail/11.2107.TM.20220713.1101.002.html
Wang L, 2020, Current Situation and Prospect of Energy Science and Technology Cooperation Between China and the International Energy Agency. Coal Quality Technology, 37(01): 1–7.