@inproceedings{b7c4e6fa04ef4d98b9b1da0ba64244c1,
title = "Use of Data Acquisition for Rapid Feasibily Check of PV Based Illumination Systems",
abstract = "Data Acquisition Systems (DAS) have been used to acquire fast and slow varying electronics signals. Photovoltaic (PV) produced signals and consumed load energy can therefore be gathered by using DAS systems. In this research: the samples of varying solar irradiance and varying load power are collected by the microcontroller-based DAS and then processed to determine the feasibility of photovoltaic (PV) based illumination systems for the region in question. The microcontroller software algorithm logs the power samples from test PV and the load into a coma separated value file (CSV), which is later transferred to the computer for further analysis. In the computer, tools such as spreadsheets are used to compare the prevailing solar energy with the load conditions to give the feasibility report. This study showed that by physically measuring the ground received solar power and the power that is consumed by the connected load: the surveillance of PV based illumination have been simplified.",
keywords = "data acquisition, feasibility, load energy, solar irradiance",
author = "Mabunda, {Nkateko E.}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE AFRICON, AFRICON 2019 ; Conference date: 25-09-2019 Through 27-09-2019",
year = "2019",
month = sep,
doi = "10.1109/AFRICON46755.2019.9134011",
language = "English",
series = "IEEE AFRICON Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE AFRICON 2019",
address = "United States",
}
