Abstract:Solar photovoltaic (PV) system has become the greatest attraction in the clean, renewable electricity generation. However, the performance is varying due to various parameters and environmental conditions. Hence, a remote and real-time monitoring system is needed to assess its performance. Implementation of the Internet of Things (IoT) in the monitoring of the solar PV system was proposed and its performance was studied. The system consists of data acquisition, data gateway, and smartphone application display.… Show more
“…an overall average score of 78% was obtained with appropriate criteria by material experts. Research conducted by [16] based on the feasibility of the material on the teaching aids obtained an average score of the overall assessment of teaching aids is 87%. with very feasible criteria by material experts.…”
The purpose of developing Arduino Uno-based physics learning media to measure density is to determine the level of feasibility based on the assessment of media experts and material experts, as well as to determine student responses to the development of learning media carried out. This study uses the ADDIE model which consists of 5 stages, namely analysis, design, development, implementation, and evaluation. Based on the data analysis, it can be concluded that the validation of the Arduino Uno-based physics learning media by two media experts obtained an average percentage score of 92.08% with very decent criteria and by two material expert validators obtained an average percentage score of 88, 75% with very decent criteria. Student responses to the Arduino Uno microcontroller-based physics learning media obtained an average percentage score of 84.58% with very decent criteria. The implication of this research is that teachers and students can use tools developed digitally and can compare them with manual experiments.
“…an overall average score of 78% was obtained with appropriate criteria by material experts. Research conducted by [16] based on the feasibility of the material on the teaching aids obtained an average score of the overall assessment of teaching aids is 87%. with very feasible criteria by material experts.…”
The purpose of developing Arduino Uno-based physics learning media to measure density is to determine the level of feasibility based on the assessment of media experts and material experts, as well as to determine student responses to the development of learning media carried out. This study uses the ADDIE model which consists of 5 stages, namely analysis, design, development, implementation, and evaluation. Based on the data analysis, it can be concluded that the validation of the Arduino Uno-based physics learning media by two media experts obtained an average percentage score of 92.08% with very decent criteria and by two material expert validators obtained an average percentage score of 88, 75% with very decent criteria. Student responses to the Arduino Uno microcontroller-based physics learning media obtained an average percentage score of 84.58% with very decent criteria. The implication of this research is that teachers and students can use tools developed digitally and can compare them with manual experiments.
“…The control or application layer provides for the human interface allowing them to observe, diagnose, analyze, and sometimes revert corrective actions via reverse communication. Commonly used microcontrollers, transceivers and IoT platforms have been reported by Priharti et al [ 17 ]. Fig.…”
The deployment of remote monitoring systems based on Internet of Things (IoT) presents an opportunity to curtail operational and maintenance (O&M) costs associated with stand-alone PV systems. This study evaluates the characteristics of the commonly employed IoT platforms, their capabilities and associated O&M cost savings. Analysis of avoided field visit costs based on three remotely monitored solar PV sites is conducted through clustering of system faults and filtering out major ones that would warrant actual site visits. The obtained results are verified with information gathered from four other PV installer companies based in Nairobi, Kenya. Results obtained from the study show that majority of system faults can be monitored and often corrected remotely. Annual site-specific cost savings associated with IoT platforms range from $2040 to $3096. In comparison to ordinarily locally monitored systems, annual operation and maintenance costs can be reduced by 47–95%. This implies that it is now possible to adequately maintain healthy solar PV systems located in remote locations ensuring their longevity and convenience.
“…Power of source. To optimal Ardupeat device, the performance of energy power the battery shall able to power the full system for at least 24 hours, without any recharge, and the solar panel must be smart to charge throughout on the day the energy consumed overnight [23], [24]. The ardupeat has requirements for the energy battery and the solar panel [25] was determined as 10 Ah and 12 V, 1.2 Amp respectively.…”
The groundwater level and weather patterns and climate conditions are several of the very significant factors which influence the quality of livelihood and the other activity of the tropical peatland environment. The current method of groundwater level and meteorological information aggregate build the use of certain expensive weather station devices, prominent to a lack of vast monitoring suitable to cost barriers and disturbance in some countries. In this research, we have developed and implemented a hardware module based on an Arduino microcontroller and mobile communication, which measures the groundwater level and meteorological data, including air temperature, air humidity, and soil temperature, and humidity, rainfall in peatland area. The data groundwater level is received by a specially developed application interface running on an Internet of Things (IoT) connected through a Global Mobile System (GSM) communication. In this work, our proposed system is a model system that can able to generate alerts based on the real-time groundwater level and data weather as potential peat fire in Indonesia. It provides online and data real-time monitoring. In this works, we have resulted in a system to monitor the groundwater level and data weather alert, condition mapping, and warn the people from its disastrous effects.
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