Off-grid Hybrid Renewable Energy System Hamad Jassim Rajab 200621000 Abdulrahman Kalbat 200608959 Buti Al Shamsi 200440143 Ahmed Al Khazraji 200620066 Department of Electrical Engineering Graduation Project II Course Spring 2011
Mar 31, 2015
Off-grid Hybrid Renewable Energy System
Hamad Jassim Rajab 200621000Abdulrahman Kalbat 200608959Buti Al Shamsi 200440143Ahmed Al Khazraji 200620066
Department of Electrical EngineeringGraduation Project II Course
Spring 2011
Outline• GPI Achievements
• Modified Block Diagram
• Design Constraints and Standards
• HOMER Cases and Comparisons
• Wind Turbine optimization
• Maximum Power Point
• Solar panel optimization
• Solar Panel Shading Distance
• Pyranometer
• Anemometer• Data Acquisition Device (CompactRIO)
• Expected Research Areas
• Gantt Chart
• Designed Poster
• Achievements (WETEX 2011+ISSE)
GPI Achievements (1/6)Requirements, Specifications and Constraints
• Requirements: Continuous power supply, relatively
clean energy and low operating cost
• Specifications: best installation location, backup
availability and automatic switching
• Constraints: limited financial support and area and
meeting standards and regulations
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 240.0
0.5
1.0
1.5
2.0
2.5
3.0
Current Load Profile
Hour of the day
Load
(KW
)GPI Achievements (2/6) Load Profile
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 240.0
0.5
1.0
1.5
2.0
2.5
3.0
Preferred Load Profile
Hour of the day
Load
(KW
)
Total Load Demand = 26.1 kWh/day
GPI Achievements (3/6) Load Profile
GPI Achievements (4/6)Subsystem Sizing
1 wind turbine 24 solar panels 1 Variable Speed Diesel Generator
3 Charge Controller 1 Bi-directional Inverter 24 Batteries
GPI Achievements (5/6) HOMER Simulation
• HOMER = Hybrid Optimization Model for Electric Renewables
GPI Achievements (6/6) HOMER Simulation
• Main Inputs:– Preferred load profile– Actual Climatic Conditions in Al Ain city (Wind speed and
Solar radiation)– Equipments sizes
• Main Results:– Operation Cost (AED/Year) – Cost of Energy (AED/kWh) – CO2 Emissions (kg/year)
Modified Block Diagram
Design Constraints and StandardsBudget and Temperature
• Limited Budget: 228,000 AED
• Ambient temperature:
– Average = 28.55 o C
– Minimum = 5.3 o C ( in January )
– Maximum = 50 o C ( in June )
(From National Centre of Meteorology and Seismology in UAE )
Design Constraints and StandardsArea (1/3)
Free Area = Total area – Used area
= (25m X 38m) – (14m X 15m)
= (950 m2) – (210 m2)
= 740 m2
Design Constraints and StandardsArea (2/3)
Solar Panels Considerations:
• Maintenance spacing (dust removal)
• Panel to panel distance according to NEC (avoiding shade)
Design Constraints and StandardsArea (3/3)
Batteries Considerations:
• Installed in a cabinet or not
Battery rack Battery cabinet Battery Bank
Design Constraints and StandardsNoise
Noise:
• Threshold of pain = 130 dBA @ 10 meters
• Equipment noise < Threshold of pain
• Noise from diesel generator and wind turbine
• Power Sources: 24 PVs, 1 Wind Turbine, 1 Diesel Generator
• Load Sharing: 58% PV, 1% Wind, 41% Diesel
• Cost of Energy: 2.9 AED/kWh
• Operating Cost: 15,300 AED/yr
• Shortage: 0%
• CO2 Emissions: 6,119 kg/yr
HOMER Simulation (1/8) Case 1: Hybrid System: (5 kW Solar, 0.4 kW Wind, 7 kW Diesel)
HOMER Simulation (2/8) Case 1: Hybrid System: (5 kW Solar, 0.4 kW Wind, 7 kW Diesel)
• Power Sources: 24 PVs, 1 Wind Turbine
• Load Sharing: 98% PV and 2% Wind
• Cost of Energy: 3 AED/kWh
• Operating Cost: 9,920 AED/yr
• Shortage: 36%
• CO2 Emissions: 0 kg/yr
HOMER Simulation (3/8) Case 2: Renewable Energy System: (5 kW Solar, 0.4 kW Wind)
HOMER Simulation (4/8) Case 2: Renewable System: (5 kW Solar, 0.4 kW Wind)
HOMER Simulation (5/8) Case 3: Renewable Energy System: (17 kW Solar, 0.4 kW Wind)
• Power Sources: 81 PVs, 1 Wind Turbine
• Load Sharing: 99% PV and 1% Wind
• Cost of Energy: 4.4 AED/kWh
• Operating Cost: 13,780 AED/yr
• Shortage: 0%
• CO2 Emissions: 0 kg/yr
HOMER Simulation (6/8) Case 3: Renewable Energy System: (17 kW Solar, 0.4 kW Wind)
HOMER Simulation (7/8) Case 3: Diesel Generator: (7 kW Diesel Generator)
• Power Sources: Diesel Generator ONLY
• Load Sharing: 100% Generator
• Cost of Energy: 3.8 AED/kWh
• Shortage: 0%
• Operating Cost: 34,000 AED/yr
• CO2 Emissions: 25,433 kg/yr
HOMER Simulation (8/8)Results
PVsCost of Energy
(AED/kWh)
Operating Cost
(AED/yr)
CO2
Emissions (kg/yr)
Diesel(Liter)
Hybrid 24 2.9 15,300 6,119 2,324
Renewable(36%
Shortage)24 3 9,900 0 0
Renewable(0% Shortage)
81 4.4 13,780 0 0
Diesel Generator
0 4.12 37,000 25,433 9,658
Wind Turbine (1/2)
Wind Turbine:
• Average wind direction range = 339o to 6o
Angles measured clock-wise from North
Wind Turbine (2/2)
• Wind angle range: 27o
• Wind turbine blades should
head towards the indicated
range.
Solar panel (1/11)Installation site coordinates
Latitude: 24.2 N
Longitude: 55.7 E
Maximum Power Point (1/4)Definition
The point on the current-voltage (I-V) curve of a solar module under illumination, where the product of current and voltage is maximum (Pmax, measured in watts).
Maximum Power Point (2/4)Circuit and Equation Model
Maximum Power Point (3/4)Matlab Simulation
Maximum Power Point (4/4)I-V characteristic and PV Power
I-V characteristic PV Power
Maximum Power Point (1/7)Definition
The point on the current-voltage (I-V) curve of a solar module under illumination, where the product of current and voltage is maximum (Pmax, measured in watts).
Maximum Power Point (2/7)Ideal Model
Maximum Power Point (3/7)Matlab Simulation for Ideal Model
Maximum Power Point (4/7)Real Model
Maximum Power Point (5/7) Matlab Simulation for Real Model
Maximum Power Point (6/7)I-V characteristic
Ideal Model Real Model
Maximum Power Point (7/7)PV Power
Ideal Model Real Model
Solar panel (2/11)Seasons and sun’s locations
• 1st day of spring/autumn = 90 – 24.2 = 65.8o above southern horizon
• 1st day of winter = 65.8 – 23.5 = 42.3o above southern horizon
• 1st day of summer = 65.8 + 23.5 = 89.3o above southern horizon
Solar panel (3/11)Seasons and sun’s locations
• Summer (21 June - 23 September) = 89.3o to 65.8o
• Autumn (23 September – 22 December) = 65.8o to 42.3o
• Winter (22 December – 21 March) = 42.3o to 65.8o
• Spring (21 March – 21 June) = 65.8o to 89.3o
Solar panel (4/11)Expected solar panel tilt angles
Solar panel tilt (heading south) = 90 – sun location
• Summer (21 June - 23 September) = 0.7o to 24.2o
• Winter (22 December – 21 March) = 47.7o to 24.2o
• Yearly yield = 24.2o
Solar panel (5/11)Solar panel tilt angles using PVSYST Software
• Summer optimum tilt = 0o to 6o
Solar panel (6/11)Solar panel tilt angles using PVSYST Software
• Winter optimum tilt = 43o to 46o
Solar panel (7/11)Solar panel tilt angles using PVSYST Software
• Yearly yield optimum tilt = 21o to 24o
Solar panel (8/11)Solar panel tilt angles using case study
Solar radiation Vs months of the year for different angles in Al Ain
Winter Spring Summer Autumn
Solar panel (9/11)Solar panel tilt angles using case study
Solar variation (10o) = 0.76 – 0.54 = 0.22 kW/m2
Solar variation (20o) = 0.77 – 0.6 = 0.17 kW/m2
Solar variation (30o) = 0.76 – 0.55 = 0.21 kW/m2
Optimum angle: around 20o (maximum and stable solar radiation)
Solar panel (10/11)Factors affecting solar radiation
1) Angle of solar incident:• Best when perpendicular on the tilted plane• Maximum in 1st day of Spring and Autumn
Winter Spring Summer Autumn
Maximum points
Solar panel (11/11)Factors affecting solar radiation
2) Length of the day:
• In polar regions, 6 months of daylight.
• Highest solar radiation in the first day of summer (24 hours daylight)
Drop during summer ?
Solar Panel Shading distance (1/10)
Solar Panel Shading distance (2/10)
Solar Panel Shading distance (3/10)
Solar Panel Dimensions
Length = 1.652 m
Width = 0.994 m
mm
mm
Solar Panel Shading distance (4/10)
Sun path in Al Ain
Solar Panel Shading distance (5/10)
Useful solar radiation hours = 6 hours (9 AM to 3 PM)
Longest shade:
– Season: first day of winter
– Time: just after sunrise
just before sunset
Shortest shade:
– Season: first day of summer
– Time: noon (12 PM)
Solar Panel Shading distance (6/10)
Longest shade (portrait scheme H= 1.652 m)
– Season: first day of winter
– Time: just after sunrise
just before sunset
@7 AM
@9 AM
Solar Panel Shading distance (7/10)
Shortest shade (portrait scheme H= 1.652 m)
– Season: first day of summer
– Time: noon (12 PM)
@12 PM
@9 AM
Solar Panel Shading distance (8/10)
Longest shade (landscape scheme H= 0.994 m)
– Season: first day of winter
– Time: just after sunrise
just before sunset
@7 AM
@9 AM
Solar Panel Shading distance (9/10)
Shortest shade (landscape scheme H= 0.994 m)
– Season: first day of summer
– Time: noon (12 PM)
@12 PM
@9 AM
Solar Panel Shading distance(10/10)
Summary @9 AM
Shortest: 2.073 m Longest: 2.950 m
Area for 24 panels: 70.37 m2
Usage: limited field width
Shortest: 1.247 m Longest: 1.775 m
Area for 24 panels: 70.37 m2
Usage: limited field length
Pyranometer (1/4)
• Pyranometer: is an instrument used to measure the solar radiation (in watts per
meter square) from a field of view of 180 degrees
• Types:
– Thermopile: is an electronic device that converts thermal energy into either
voltage or current.
– Photodiode (silicon): is an electronic device that converts light into either
voltage or current.
Pyranometer (2/4)
Thermopile
• Spectral range: 285 – 2,800 nm
• Response time: 5 sec
• Expensive (9,500 AED)
Photodiode
• Spectral range: 400 – 1,100 nm
• Response time: 0.5 micro sec
• Cheap (1,500 AED)
Pyranometer (3/4)
Polycrystalline PV cell spectral response: 400 to 1,200 nm
Pyranometer (4/4)
Solar Radiation: 300 to 2,800 nm
PV Cell: 400 to 1,300 nm
Thermopile Pyranometer: 300 - 3,000
Photodiode Pyranometer: 400 - 1,100
Anemometer (1/4)
• Anemometer: is a device for measuring wind speed
• Speed range: 1 to 100 m/s
Cup type Windmill type Ultrasonic type
Data Acquisition Device (CompactRIO)
• CompactRIO: Compact Reconfigurable Input / Output
• It is a programmable automation controller
Data Acquisition Device (CompactRIO)
• It consists of:
Chassis
Main Controller
AnalogOutput
AnalogInput
AnalogInput
DigitalInput
DigitalOutput
LabVIEW
• LabVIEW: Laboratory Virtual Instrumentation Engineering Workbench
• A graphical programming environment
• Develop control systems
• Using graphical blocks and wires
CompactRIO (I/O)
• CompactRIO: Compact Reconfigurable Input / Output
• It is a programmable automation controller
CompactRIO (I/O)
• It consists of:
Chassis
Main Controller
AnalogOutput
AnalogInput
AnalogInput
DigitalInput
DigitalOutput
CompactRIO (I/O)Calibrate Analog Input Value
• Input Engineering Unit: Calibrated value
• Binary Value: returned un-calibrated value from Analog Input Module
• LSB Weight: Typical Input Range / 2ADC Resolution
• DC Offset: vertical shift
OffsetWeightLSBValueBinaryUnitsEngInput )(.
CompactRIO (I/O)Block Diagram
OffsetWeightLSBValueBinaryUnitsEngInput )(.
CompactRIO (I/O)Front Panel
Binary Number
Data Acquisition Device (CompactRIO)
• Problem: Measurements were always in integer format (NOT Floating
Point)
• Solution: NI was contacted and the problem was solved.
• A program was developed to export the obtained measurements to
excel sheet.
Expetced Research Areas
• Solar Panels:
– Maximum Power Point Tracking (MPPT)
– Dust effect on the efficiency
– Temperature effect on the efficiency
– Meteorological data for Al Ain (solar radiation)
Expetced Research Areas
• Wind Turbine:
– Dust effect on the turbine
– Wind speed variation with elevation
– Effect of the surrounding obstacles on the performance
– Threshold speed (mechanical)
Expetced Research Areas
• Diesel Generator:
– CO2 emissions
– Fuel consumption
– Vibration
– Power quality
– Synchronization with other power sources
Expetced Research Areas
• Battery Bank:
– Temperature effect
– Life time
– Overcharging and depth of discharge effect
GPII Gantt Chart
Designed Poster
WETEX 2011
Water, Energy Technology and Environment Exhibitions (WETEX)
8th – 10th March 2011
Dubai Convention and Exhibition Centre
Organized by:
ISSE (1/4)
The International Conference on Sustainable Systems and the Environment
23rd – 24th March 2011
ISSE(2/4)
Graduation Project group members
ISSE (3/4)
Explaining to one of the judging panel’s member
ISSE (4/4)
3rd place in the Conference’s Student Poster Competition
3
Thank you for listening!Any questions?