Design and Analysis of an Off-Grid PV Plant for Higher Utilization Efficiency in The Field of Pharmaceutical Industry Considering Global Pandemic State

Abstract

According to the concern of WHO the less association
of people in an office may restrict the likelihood of spreading this
COVID-19 infection. On the other hand, the pharmaceutical
companies are working hard to maintain uninterrupted
production of vaccine and medicines. This paper focuses on the
main layer which is the power system management and its
utilization through automation and controlling remotely. In the
design process the FDA (Food and Drug Administration) proposed
structure and green energy solution is maintained. Solar energy
utilization efficiency is increased using the data logging system and
machine learning algorithms from archived data. A SCADA
operated Off-Grid Solar PV Automation System has been
proposed to increase the utilization efficiency. To predict solar
power availability over time and perform efficient energy
trafficking, the automation system will analyze previous data and
perform situational awareness operations for uninterrupted solar
power generation. A comprehensive analysis of the proposed
automation system for pharmaceuticals industry applications has
also been presented in this paper. The continuous monitoring
system for this Off-Grid Solar PV power generating unit preserves
multiple data entries, which increases with time and subjected to
energy trafficking. And this energy trafficking based on machine
learning increases the overall solar energy utilization efficiency
from 64% to 99.92%.