Our project is a Mariscal dose kaki
reaction which is funded by the European Commission to Train 15 high-level young
researchers to become experts in wind energy. We are conducting research with
multidisciplinary groups including researchers with backgrounds in
aerospace engineering, flow dynamics, structural engineering, wind engineering,
and power electronics which is my topic. I always had a desire to be part of a
structured academic project in an academic situation like the
University of Birmingham it’s well known as one of the major
universities in England and provides great access to resources and extremely
supportive lecturers. Aeolus4Future is a great example of the effort of the
European Union to unite different and independent countries to work together
for the challenges ahead. My research deals with the effect of turbulence on
the aerodynamics of wind turbines in the urban environment. Urban wind energy
applications have shown poor success though the concept is promising producing the
energy we need just on-site. In unconventional locations we have a
two-fold problem which is a poor knowledge of the inflow we are dealing
with and it’s correlated response on the wind turbine itself therefore we need to
go back to basics to the aerodynamics to understand the issue and turbulence is
the issue. What I’m doing is to develop an
experimental technique to control turbulence statistics of the inflow and
measure the response over going to bind aerofoil
install conditions. I’m also using computational fluid dynamics to further
understand the data and the rate of complexity which is needed to model this
problem. My aim is to improve aerofoil data to
include turbulence effects in order to design the future generation of wind
turbine to be safer more reliable and more efficient in the urban environment. My research is on cognition monitoring
and to produce efficient methods to detect failure of switching components
using power electronic converters. It’s common to analyze the electrical
failures by looking at electrical parameters only however there are other
factors that should be taken into consideration such as the factor wind
speed and turbulent followed in order to address this I have created a condition
monitoring algorithm and power electronic converter to validate the
algorithm. Using a micro wind turbine we can evaluate the relationship between
the function of failure detectors and wind conditions. In the future the
algorithm that I’m developing will detect the future of the condition
monitoring system.