An LLMS Remotely Controlled Experiment for Smart Hydro Energy Storage and Irrigation System Powered by Photo-Voltaic Array and IoT
Proceedings - 2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-20235195
ABSTRACT
Many students all over the world have faced some educational issues due to the Covid-19 epidemic. As a consequence, many educational institutes focused on shifting to an E-learning system. This paper introduces a design and implementation steps of a remotely controlled experiment representing a smart hydro energy storage and irrigation system with monitoring capability using photovoltaic power and the Internet of Things (IoT). The experiment is running within the newly proposed Laboratory Learning Management System (LLMS). The remotely controlled experiment is a smart hydro energy storage and irrigation system, where the stored water during the daytime is used at night for smart irrigation of three different types of plants based on the moisture and temperature, in addition to the amount of water that the user sets for every area. In this experiment, during the daytime, the utilities are feeding from the solar panel and battery, but at night, the utilities are feeding from the battery or the hydro turbine that converts the water potential energy to electric energy. The overall Experiment is controlled using IoT sensors and relays which are connected and driven by the parameters that the user sets and can be communicated with the system using the Internet which allows the system to be proactive and take the needed decision in the right time. The main contribution of this system's experiment is the pumping of underground water in irrigation using a renewable and clean energy source, in addition to controlling the systems using IoT through the proposed LLMS. © 2022 IEEE.
Hydro energy storage; IoT; LLMS; remotely controlled Experiment; Smart irrigation; Solar power; Electric batteries; Energy storage; Groundwater; Hydro energy; Internet of things; Irrigation; Learning systems; Potential energy; Controlled experiment; Irrigation systems; Laboratory learning management system; Learning management system; Photo voltaic arrays; Remotely controled experiment; Storage systems; Users set; Solar energy
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
Proceedings - 2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022
Year:
2022
Document Type:
Article
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