2024

Environmental Monitoring System for Renewable Energy Installations

Mohammad Rejwan Uddin, Mohsina Tabassum, Md Shad Ashfaque Hossain, Md Shakhawat Hossain, Mahady Hasan

IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES)

論文を見る DOI: 10.1109/ICEPES60647.2024.10653487

概要

Renewable energy installations have significant potential. Nonetheless, the effectiveness of their functioning is contingent upon the dynamic nature of the environment within which they function. To address this difficulty, we propose an innovative solution: the Internet of Things (IoT) Robotic Environmental Monitoring. Through the integration of the Internet of Things (IoT) and robotics, a sophisticated system of autonomous robots is developed, using advanced sensor technology. The agile robotic systems traverse renewable energy installations, acquiring up-to-date information on pivotal environmental variables such as meteorological conditions, solar radiation levels, and wind dynamics. The data that has been gathered is thereafter subjected to processing and analysis by state-of-the-art cloud computing and analytics techniques. This novel methodology enhances energy generation, significantly reduces manual labor, and enables proactive maintenance. The IoT Robotic Environmental Monitoring system has the potential to significantly transform the renewable energy industry, therefore advancing our progress towards a more environmentally sustainable society.

引用

Mohammad Rejwan Uddin, Mohsina Tabassum, Md Shad Ashfaque Hossain, Md Shakhawat Hossain, Mahady Hasan. "Environmental Monitoring System for Renewable Energy Installations." IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES) (2024).

BibTeX

@article{pub24_2024,
  title={Environmental Monitoring System for Renewable Energy Installations},
  author={Mohammad Rejwan Uddin, Mohsina Tabassum, Md Shad Ashfaque Hossain, Md Shakhawat Hossain, Mahady Hasan},
  booktitle={IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES)},
  year={2024},
  doi={10.1109/ICEPES60647.2024.10653487}
}