The document presents a wave-to-wire model for ocean wave energy conversion using MATLAB/Simulink, detailing wave energy's advantages over other renewable sources, the global potential of wave power, and various harnessing techniques. It analyzes simulation results indicating an average output power of 14 kW with a conversion efficiency of 70%, while addressing challenges such as device vulnerability to environmental forces and maintenance costs. The conclusion emphasizes the significant untapped potential of wave energy, alongside its environmental benefits and the feasibility of developing technology in regions like Bangladesh.

1. A Wave-to-Wire Model of Ocean
Wave Energy Conversion System
Using MATLAB/Simulink
Platform
4th International Conference on Development
of Renewable Energy Technology
[ICDRET 2016]
AUTHORS
Jakir Hossain, B.Sc in EEE, KUET
Eklas Hossain, PhD Candidate, UWM, USA
Sarder Shazali Sikander, M.Sc in EE, NUST, Pakistan

2. Title and Content Layout with List
e
What and Why Wave Energy?
Wave energy vs. other Renewable Sources
Global Resources of Wave Energy
Characteristics of Wave Power
Possible Harnessing Technique
System Description
Wave-to-Wire Model
Results from Simulation
Challenges of Harnessing Wave Power
Conclusion
Outlines

3. What and Why Wave Energy?
• Some of the kinetic (motional) energy in the wind is transformed
into waves once the wind hits the ocean surface.
• Wind energy ultimately forms due to solar energy and its
influence on high and low pressure.
• The density of the energy that is transported under the waves
under the ocean surface is about five times higher compared to
the wind energy 20 meter (about 65 feet) above.
• In other words, the amount of energy in a single wave is very
high.

4. Wave Energy vs. Other Renewable Sources
Photovoltaic Wind Wave
Status Early commercial Commercial Pre-commercial
Energy Source Sun Sun Sun-Wind
Power Density 1 kW/m2 at peak
solar insolation
1 kW/m2 at 12
m/s [General
Electric (GE) 1.5
MW machine]
25 kW/m at Sun
Francisco, average
annual power flux
Variability Daily cycles-clouds When it blows 24×7 and highly
variable
Predictability Poor Hours Daily
Availability 20-30% 30-40% 80-90%
Potential Sites Limited Limited Extensive but
limited
Average Power
Output per Plant
Scalable to 5 MW Scalable to 30
MW
Scalable to 100+
MW [Provides
Highest energy
density]
Environmental
issues
Visual Pollution Noise and Visual
Pollution
None [Virtually no
environmental
impacts]
80% to 90%
Availability
Scalable to
100+ MW
Environmentally
Zero Impacts
Daily
Predictability

5. Title and Content Layout with List
Global Resources of Wave Energy
The strongest winds
blow between 30˚
and 60˚ in latitude.
Western coastlines
at these latitudes
experience the most
powerful waves.
Global Distribution of approximate yearly average
wave power in kW/m crest length

6. Characteristics of Wave Power
Increase in total wave power with increase in water
depth over various bed slopes 𝑃 =
𝜌𝑔2
64𝜋
𝐻 𝑚0
2
𝑇𝑒 ≈
𝑘𝑤
𝑚3 𝑆
𝐻 𝑚0
2
𝑇𝑒
𝜌 Water Density
𝐻 𝑚0 Wave Height
𝑇𝑒 Wave Period
Mechanical Power
Stored in the Wave

7. Characteristics of Wave Power
Three Basic Kinds of Systems
Offshore (deals with swell energy
not breaking waves)
Near Shore (maximum wave
amplitude)
On shore (built into shoreline to
receive breaking wave – but energy
loss is occurring while the wave is
breaking)
Typical Gross wave power and exploitable wave power at
the three different location of WECs WEC – Wave Energy Converter

8. Possible Harnessing Technique
Point Absorber Oscillating
Water Column
Submerged
Pressure Differential
Overtopping Devices
Oscillating Wave
Surge Converter
Rotating MassBulge WaveAttenuator

9. Title and Content Layout with List
System Description
Oscillating Wave Surge Converter
• anchored to the sea floor (obviously near the
coast)
• Easiest to build electricity export infrastructure.
• But energy density is lower; still prototypes are
being developed

10. Wave-to-Wire Model
Block diagram of a Wave-to-Wire model of Wave Energy Conversion
Wave-to-Wire model Simulink Layout

11. Title and Content Layout with List
Wave-to-Wire Model
300 V DC to 480 V AC inverter model using Simulink

12. Title and Content Layout with List
Results from Simulation
Incident Wave Profile and Input Mechanical Power
in kW/m crest length
0 to 5 m
Average Wave Height
20 kW
Average Input
Mechanical Power

13. Title and Content Layout with List
Results from Simulation
DC Voltage (1) and RMS Voltage (2), Rectified Current (3),
RMS Current (4) in Amp from the PMSG

14. Title and Content Layout with List
Results from Simulation
Output Voltage (1) in Volt, Current (2) in Ampere and RMS Output Voltage
(3) in Volt from the Simulation

15. Results from Simulation
Output Electrical Power (1) and RMS Power Output
(2) in kW from the simulation
14 kW
Average Output power
70%
Conversion Efficiency
7.1428%
Power Oscillation

16. Challenges of Wave Energy Conversion
• Some devices already been destroyed by the forces of tides and strong storms.
• Accessibility, maintenance and repair can also be costly.
• The typical efficiency of a wave energy device at the moment being only about
30%.
• There is a potential impact on the marine environment.
• Noise pollution, for example, could have negative impact if not monitored,
although the noise and visible impact of each design varies greatly.
• The major competitor of wave power is offshore wind power.
• Wave farms can result in the displacement of commercial and recreational
fishermen from productive fishing grounds.
• Waves generate about 2,700 gigawatts of power.
• Of those 2,700 gigawatts, only about 500 gigawatts can be captured with the
current technology.

17. Conclusion & Future Vision
• There is much potential in worldwide wave energy; 1000 Terra Watts
available.
• Capturing wave energy and converting that into electricity is difficult but this
allows for innovate devices to be designed
• Technology produces no greenhouse gas emissions making it a non-
polluting and renewable source of energy.
• In this article a Wave-to-Wire model is presented
• Overall Designed Conversion efficiency is 70%
• Power Oscillation is Limited to 7.1428%
• The technical challenges are solvable.
• Design a Wave Energy Plant for Bangladesh.

18. Thank you