Recent technological advances have greatly improved the performance and features
of computers and mobile systems. This improvements leads to increase in power
consumption which makes the task of managing their power consumption necessary. The
proc
essor considered as one of the most power consuming elements in the system so, this
research aims to develop a new method for power management in multicore architecture
which support most of the modern electronics. Power management techniques is an
important field in multicore studies because it must balance between the demanding needs
for higher performance/throughput and the impact of aggressive power consumption and
negative thermal effects. Many techniques have been proposed in this research like
(Dynamic Voltage and Frequency Scaling (DVFS), Asymmetric cores, Thread motion,
variable size cores, core fusion) then after we summarized comparing table which clarifies
the pros and cons of these techniques, we proposed a new technique for power
management in multi-core processors implements the best of these techniques .
As known the electric energy is one of the most important factor of development, but
using it causes bad environmental impacts due to depending on fuel as the source of
electrical generation. Using renewable energy is still limited and needs a huge
fixed costs,
so it is important to reduce electrical consumption by monitoring and controlling
equipment to achieve its function with lower consumption. HVAC sector is the most
consumption part in buildings, therefor any saving in this sector will affect manifestly on
the total electrical consumption in the building and this is done by control system. Control
systems are in continuous improving, so it is needed to exploit them in saving electrical
energy.
In this research, studying control of VAV system and designing fuzzy logic
controller to drive supply fan in order to reduce its electrical consumption, this is
performed through designing practical prototype of the supply fan with its tools and
software which are designed to view the electrical energy saving which we gain it by using
fuzzy logic controller.
