Robotics, Artificial Intelligence, and Drones in Solar Photovoltaic Energy Applications—Safe Autonomy Perspective
Author:
Olayiwola Olufemi1ORCID, Elsden Miles1, Dhimish Mahmoud2
Affiliation:
1. Institute for Safe Autonomy, University of York, York YO10 5DD, UK 2. School of Physics, Engineering and Technology, University of York, York YO10 5DD, UK
Abstract
While there is evidence of substantial improvement in efficiency and cost reduction from the integration of Robotics, Artificial Intelligence, and Drones (RAID) in solar installations; it is observed that there is limited oversight by international standards such as the International Electrotechnical Commission (IEC) in terms of the hazards and untapped potentials. This is partly because it is an emerging application and generally burdened with social acceptability issues. Thus, the safety regulations applied are adaptations of device-specific regulations as deemed fit by individual companies. Also, due to the fast-paced technological development of these platforms, there is huge potential for applications that are not currently supported by the device-specific regulations. This creates a multi-faceted demand for the establishment of standardized, industry-wide polices and guidelines on the use of RAID platforms for Solar PV integrations. This work aims to address critical safety concerns by conducting a comprehensive high-level system examination applicable to the monitoring and maintenance of Solar PV systems. Standard safety assurance models and approaches are examined to provide a safe autonomy perspective for Solar PVs. It is considered that, as RAID applications continue to evolve and become more prevalent in the Solar PV industry, standardized protocols or policies would be established to ensure safe and reliable operations.
Reference86 articles.
1. Robots in Healthcare: A Scoping Review;Morgan;Curr. Robot. Rep.,2022 2. Niestadt, M., Debyser, A., Scordamaglia, D., and Pape, M. (2019). BRIEFING EPRS|European Parliamentary Research Service, European Parliamentary Research Service. 3. Parmaksiz, O., and Cinar, G. (2023). Technology Acceptance among Farmers: Examples of Agricultural Unmanned Aerial Vehicles. Agronomy, 13. 4. Liang, H., Lee, S.-C., Bae, W., Kim, J., and Seo, S. (2023). Towards UAVs in Construction: Advancements, Challenges, and Future Directions for Monitoring and Inspection. Drones, 7. 5. Wang, G., Xie, J., and Wang, S. (2023). Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis. Energies, 16.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|