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A methodology for performance evaluation and system loss analysis of photovoltaic power plants: case studies in Vietnam Truong, Le Phuong; Tri, Bui Van; Long, Le Phuong
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2674-2684

Abstract

This study presents a methodology for performance evaluation and loss analysis of two photovoltaic (PV) power plants in Vietnam with different geographical locations and climatic conditions. An experimental methodology is utilized to analyze the system losses. Data was collected from the BIM2 (250 MWp) and Buon Ma Thuot (35 MWp) plants. The results show that system losses do not exceed 1.3%, with performance rates ranging from 73-79% for BIM2 and 74-88% for Buon Ma Thuot. Correlation analysis between module operating temperature, solar irradiance, and energy yield reveals an inverse relationship between the temperature-irradiance ratio and energy yield. A considerable decline in power plant efficiency is observed when this ratio exceeds 8. Additionally, vital monitored indices for PV plant operation are investigated, including energy supplied to the grid, PV array temperature, ambient temperature, and loss metrics.
IoT-based smart agriculture system using fuzzy logic: case study in Vietnam Truong, Le Phuong; Thoi, Le Nam
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 14, No 2: July 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v14.i2.pp440-451

Abstract

This paper presents an internet of things (IoT)-based smart agriculture system using fuzzy logic. This system automatically supervise and regulate pivotal parameters like temperature, humidity, pH, nutrients (NPK), and electrical conductivity (Ec) for vegetables. Data from the cultivation environment is gathered by sensors system and processed by fuzzy logic algorithms to make appropriate control decisions, ensuring optimal crop growth conditions. Additionally, a web application was developed to monitor temperature, humidity, Ec, pH, and NPK content. Moreover, when any of the NPK, Ec, pH, temperature or humidity indices fall outside allowed ranges, the system send warning notifications through the web application. Furthermore, an IP camera was installed to take images of the garden and send them to users via this web app. Experimental results demonstrate the system's reliability with a pH root mean square error (RMSE) of 0.22 and temperature RMSE of 0.93, corresponding to low errors of 0.034% and 0.056% respectively. Concurrently, this system optimizes resource utilization including water and electricity to assist in reducing production costs.