1. Program Sponsors: Apr. 6-7, 2016
Gabriel E. Colón Reyes, Ian González Afanador
Advisor: Dr. Eduardo I. Ortiz Rivera
University of Puerto Rico, Mayaguez
Deparment of Electrical and Computer Engineering
The continuing development and
improvement of clean energy sources has
been a necessity to ensure an increasing
energetic demand to counteract limited
fossil fuel reserves. Wind turbines have
become a popular source of clean energy
due to their historically higher efficiency
when compared to other sources such as
solar panels. However, as wind turbine
use increases, the need for accurate
power models to use in maximizing wind
turbine power output is critical.
Develop a novel wind power model as
a function of wind speed
Gather and analyze data using an
Arduino data logger
Refine wind power model based on
experimental data
Build charge controller capable of
maximizing wind turbine power output
 Characterize wind turbine utilizing
Arduino based data logger.
 Utilize information obtained from
characterization to validate and
expand proposed wind power model.
 Based on revised model, design a
charge controller capable of
maximizing wind turbine power
output.
1. energy.gov
2. Manwell, J., & McGowan, J. (2009). Wind Characteristics and
Resources. In Wind energy explained: Theory, design and
application (2nd ed.). Chichester, U.K.: Wiley.
3. wind-power-program.com
1. Background
Currently, there exists a wind
turbine power model which expresses
the power produced by a wind turbine as
a proportion of the cubic wind speed.
However, this is not a complete
representation of wind turbine power
output. From this observation, the idea to
develop a novel, more comprehensive
model arises in order to be able to study
wind power production from a better
perspective.
2. Problem
3. Objectives
4. Models
A simple data logging solution was
created utilizing an Arduino Mega and a
data logging shield in combination with
wind, current and voltage sensors to
measure power output and wind speed.
6. Future Work
References
Wind Power Systems:
Optimization Characterization
5. Data Recollection
3
AV
2
1
P
Proposed wind power
linear model and curve
P =
Power [kW]
Wind Speed [m/s]
Expected results from
FA1.2-400 wind turbine
Wind speed [m/s]
Power [W]
Power [W]
Wind speed [m/s]
Proposed wind power
nonlinear model and curve
Arduino
Mega
Current
sensor
Voltage
sensor
Load
Wind
turbine
Data logging
shield
Wind
Diagram for Arduino data
logger
vcut-in vrated
vcut-out vfinal
vcut-in vrated vcut-out vfinal