1. The document describes a final year project presentation for a BSc in Electrical Power Engineering. The project aims to design and implement a remote data acquisition system for monitoring photovoltaic systems using a cloud-based solution. 2. Key objectives are to develop a low-cost remote data acquisition system with a mobile/web interface to analyze PV system performance via the cloud. This will help ensure the PV system is running properly and efficiently. 3. The presentation provides background on PV systems and outlines the proposed system design which will use sensors, Arduino, Raspberry Pi, and a cloud database to remotely capture and store PV performance data.

1. COLLEGE OF ENGINEERING
UNIVERSITI TENAGA NASIONAL
DEPARTMENT OF ELECTRICAL POWER ENGINEERING
FINAL YEAR PROJECT 1
SEMESTER 2 2021/2022
ORAL PRESENTATION
NAME : VIVEKHANANTHAN MURUTY
STUDENT ID : EP0104482
COURSE : B. ELECTRICAL POWER ENGINEERING
SUPERVISOR : DR. TAN CHING SIN
EXAMINER : MISS SHANGARI K. RAVEENDRAN
DATE : 8TH APRIL 2022
Title: Design and Implementation of Remote Data Acquisition of Photovoltaic System Cloud-based Solution

2.  In the current generation, the usage of PV systems
are getting recognize by all of the world because of
the clean source.
 By reducing fossil fuel consumption at the same
time can reduce carbon emissions
 Most of the residential and commercial using
electrical energy from
the PV system.
INTRODUCTION
Source :Grid-Tied Photovoltaic and Battery Storage
Systems with Malaysian Electricity Tariff - A Review on
Maximum Demand Shaving
PROBLEM STATEMENTAND OBJECTIVES
Why it is important to capturing data from the PV system?
Helps ensure PV system is running properly and efficiently.
OBJECTIVES
• To design and develop a low cost remote data acquisition system mobile/web interface for PV system.
• To analyse the performance of the PV system via the cloud-based solution.
PROBLEM STATEMENT
• The deposition of dust on the solar panels reduces the power generated. Humidity level and UV
light level should be monitor as well to maintain the input power to receive in term of PV system
quality.

3. SUMMARY PROPOSED DESIGN
1
Aproposed secure
remote data
acquisition
architecture of
photovoltaic systems
based on the Internet
of Things
C. Zedak,
A. Lekbich
A. Belfqih
J. Boukherouaa
T. Haidi
F. El Mariami
• Using Arduino and
RaspberryPi. Which is
linked between I2C
• Arduino used for sense
the data from the sensor
• Raspberry Pi receives
data and stored to cloud
through end to end
communication
2
Design and
implementation of
an intelligent
low-cost IoT
solution for energy
monitoring of
photovoltaic stations
Y
. Cheddadi
H. Cheddadi
F. Cheddadi
F. Errahimi
N. Es-sbai,
• Construct energy
monitoring PV stations
based on low-cost IoT
solution
• Using ESP32 board with
integrated
microcontroller and build
in WiFi and Bluetooth.
NUM TITLE AUTHOR
LITERATURE REVIEW

4. SUMMARY PROPOSED DESIGN
3
IoT Enabled
Solar Power
Monitoring
System
• To monitor the dust form on
R. L.R. solar PV
Lokesh Babu • Using LDR ( light dependent
D. Rambabu resistor ) sensor to identify
A.Rajesh the dark resistor.
Naidu • MCU used is ESP8266 has
R. D. Prasad build-in WiFi.
4
LoRa based
renewable
energy
monitoring
system with
open IoT
platform
C. S. Choi
J. D. Jeong
I. W. Lee
W. K. Park
P. Gopi • ThingsSpeak used for data
Krishna storage
• Using LoRa Tech for sensor
platform and base
monitoring system
• Arduino Used as sensor
platform and RaspberryPi as
base monitoring
• The collected data stored in
MongoDB database
NUM TITLE AUTHOR

5. NUM TITLE AUTHOR SUMMARY PROPOSED DESIGN
Areal-time
monitoring
system based on
5 ZigBee and 4G
communications
for photovoltaic
generation
K. Xi
J. Ni
Y
. Y
u
P
. Xu
Y
. Wang
• Grid-connected PV inverters
are used as a monitoring
system that is equipped with a
Zigbee router node
• The data transmitted from the
Zigbee to cloud server via 4G
gateway and Modbus-RTU
(Remote Terminal Unit)
Performance of
LoRa network
for
environmental
6 monitoring
system in Bidong
island
Terengganu,
Malaysia
N.A.A.
Ali
N.A.A.
Latiff
I. S.
Ismail
• Using twoArduino Uno with
LoRa antenna system as
transmitter and receiver for
environment monitoring
system.
• Conducted experiment to
identify the best practical
setup that can enhance the
quality of LoRa signal

6. Paper 1 2 3 4 5 6
Data Acquisition
Architecture
Arduino and
RaspberryPi
ESP32
Node
Microcontroller
Arduino and
Raspberry Pi
Grid-connected
PV inverters as a
monitoring
system
Arduino
Controller
Arduino
UNO and
Raspberry Pi
ESP32 DEVKIT
V1
ESP8266
Arduino UNO,
Raspberry Pi,
and LoRa
- Arduino UNO
Number of
Sensors Used
6 5 1 4 4 nodes each 2
Measured
Parameter
current,
voltage,
temperature,
solar
irradiance,
and state of
the battery
current,
voltage,
temperature,
and solar
irradiance
LDR
current, voltage,
temperature,
and battery
DC and AC
voltage and
current from the
inverters
Temperature
and soil
moisture
Communication
System
LTE-M
WiFi and
Bluetooth
WiFi LoRa
Zigbee and 4G
gateway
LoRa
Cloud Database
System
Free web
application
based VPN (
Virtual
Private
Network )
Influx DB and
Grafana
Platform
ThingSpeak
Platform
MongoDB, - -

7. Types INA219 25V Voltage Sensor
Device Digital Analogue
Measure Current
Features • Power Input: 3.0V-5.5V
• It gives respective reading in
digital form.
• internal 12 bit ADC
• Senses Bus Voltages from 0 to
26 V
• Up to +/- 3.2Acurrent
measurement,
Voltage
• based on the principle
of resistive voltage
divider design
• It not required any
power input
• able to measure a
voltage up to 25V
Sensors
For this System, this are the sensor are used to measure the parameter of PV system

8. Types Arduino Uno ESP32
Features
Operating voltage 5V 3.3V
Clock Speed 16MHz 240MHz
Analogue input pin 6 15
Flash Memory 32KB 4MB
Extra Can Supply 5V and 3.3V to the
required sensors and module
Has Built-in
WiFi and
Bluetooth
Microcontroller
Embedded system is a computing system that is embedded in things. There are many types of
technology used in many applications involving microcontroller such as office equipment, smart home
devices, etc. For low-cost implementation Arduino and Node MCU are take into consideration.

9. Communication System LTE-M
Comparison of communication system
WiFi WPAN- Zigbee LoRa (LPW
AN)
Range Global Less than 100 m 10 -100 m
2–5 km (urban);
15 km (suburban);
<400 km (line of
sight)
Data rata less than 1Gbps Less than 300 Mbps 250 kbps
EU: 300 bps – 50 kbps
US: 900 – 100 kbps
Bandwidth 1.4Mhz -20Mhz 20-40 MHz 2MHz 500kHz - 900MHz
Coverage Large Small Small Large
For the long range data transmission LTE-M and LoRa are used in IoT application. LTE-M is stand for Long- Term
evolution for Machine. LoRa ( LPWAN ) known as Low Power Wide Range
 It is required to be operating unlicensed frequency, which is less than 1GHz
 Asia: 433 – 435 MHz , 919 – 924MHz
 It is widely used for M2M / IoT applications such as long-range irrigation system, automated meter reading.etc

11.  PV System
 Electrical energy generated from the PV array goes to the
solar charge controller and charging the battery.
 Whenever the sun goes down, then the charged battery has
been used through the charge controller and energized the
DC load.
PV Panel Solar Charger
Controller
Battery
DC Load
Component
Solar Panel – Monocrystalline
10Wp, 18V
Solar Charge Controller
Battery – Rechargeable sealed
Lead-acid battery ( 12V , 7.2Ah)

12.  Arduino Uno used as sensor platform which is connected
voltage and current sensor
 Node MCU – ESP32 board acts as base platform which
receive the data from the Arduino
 LoRa module used as data transmission between Arduino
and Node MCU
 The Node MCU is equipped with built-in WiFi that
communicates directly with the Internet
 Thingspeak platform used for web server cloud database
which can communicate with MCU in order to store the
data
V
oltage
Sensor
LoRa Tx
Arduino Uno
Current
Sensor
Internet LoRa Rx
P
V
S
y
st
e
m
Node MCU -
ESP32
Web server
Data
Transmission
Remote Data Acquisition Architecture
Remote Data Acquisition System (DAS)

13.  Sensor Platform  Base Platform

14. FUTURE WORKS FOR FYP 2
• Buying the needed components :
1) Arduino Uno (ATmega 328)
2) ESP32 Node MCU
3) INA219 Current Sensor
4) 25V Voltage Sensor
5) LoRa Module SX1278
6) Breadboard
7) 12V 7.2AH Lead Acid Battery
8) Jumper Wire
• Build the Prototype.
• Configure Cloud Database to store the capturing data.
• Obtain the data from Cloud database that has been collected from the Sensor
in constant real time.

15.  As a conclusion we can summarise that the objective of this project is Design
and Implementation of Remote Data Acquisition of Photovoltaic System
Cloud-based Solution
 The data capturing of the PV system is an important because it is directly
linked with photovoltaic system efficiency.
 Finally, the data taken from the system to be obtained from the planned
remote data acquisition system, this will be the main goal of the entire
project

16. Weeks
(February 2022 – May 2022)
1 2 3 4 5 6 7 8 9 10 11 12 13 14
No Activity/Action
1. FYP 1 Briefing
Session 1
2. Meeting with supervisor &
discuss about project title.
3. Confirmation of project title
4. FYP 1 Briefing
Session 2
5. Introduction, problem statement,
objectives & literature review
(Progress Report 1)
6. Submission of Progress Report 1
7. Implementation and selection of
technique & method to be used in
this project. (Methodology)
8. Submission of Progress Report 2
9. Logbook usage
10. Oral presentation & logbook
submission
Gantt Chart