Research projects

The study compared the torque ripple and mass of direct-drive 20-MW wind generators. These types of generators use rare earth and ferrite permanent magnets. The results of the study aim to show the advantages and disadvantages of each type of generator, especially the torque ripple because this factor greatly affects the operation as well as the generator’s lifespan.

– The study gives an overview of the cost of offshore wind power production.

– Construct and compare the characteristics of turbine capacity – electricity production cost for two types of wind generator: permanent magnet and superconducting generators.

Micro Smart Grid Development and Application for Building Energy Management

(i) Studying electronic and transport properties of electrons in graphene structures such as (bilayer) graphene nanoribbons under an electric/magnetic or strain field, twisted bi- and multi-layer graphene, cross-bar graphene, domain wall bilayer graphene, and circular p-n graphene islands to explore the exotic behaviors of electrons.

(ii) Designing experimental setups that can help detect and exploit those properties of electrons easily.

(i) Developing efficient computational programs to simulate the transmission properties of electrons using the tight binding model and non-equilibrium Green’s function (NEGF) technique.

(ii) Applying the obtained programs to investigate the local electronic and transmission properties.

In the second direction of the project, we study the thermoelectric transport in quantum dot devices and aim to clarify the roles of important interactions in the system such as charge and spin interaction, spin-orbit interaction and dot-lead coupling. To do this project, we develop and apply different computational approaches, in particular quantum calculations and simulations based on the Green’s function technique as well as the calculation methods efficiently used in low dimensional systems.

In recent years, research on Unmanned Aerial Vehicles (UAV), especially quadrotor, is increasingly promoted both in civilian and military applications. To efficient utilization of their advantages, recent research deeply focuses on the stabilization problem. However, this makes some issues when a quadrotor operates in an environment with more obstacles. In order to decrease the risks when operating (destabilization, the danger of collision),

this paper presents the research and development of a stabilization and obstacle avoidance system for a quadrotor through PID controls and distance sensors.

Nevertheless, in Vietnam, the research about smart buildings with solar power integration is limited mostly due to the lack of a qualified database for system modeling, load analysis and forecasting, solar power production forecasting, energy audit, user comfort evaluation, etc. It is essential to develop a database system for smart buildings. A smart building with solar generation cannot be realized without a reliable database system.

Electric power systems are complex and composed of various types of sources and non-homogeneous loads. A power system is considered non-stationary because of the random behaviors of all its parts.

Indeed, load can be switched on and off according to user’s unpredictable needs and sources generate electricity in a fluctuating and discontinuous manner. Effective control of the reliability of a power system is always a challenging task. The reliability depends on the power quality of the supply such as frequency deviation, harmonic distortion, unbalance, voltage sag and swell, etc.

The work of the research focuses on the development of models, indicators, and signal processing methods for power quality monitoring in time-varying power distribution systems.

The simulation results show the lowest energy consumption when traveling in urban areas and the highest consumption on highways, while the regenerative energy obtained on highways is lower compared to urban cycles. This conclusion is due to the driving behavior and aerodynamics of the vehicles on different types of roads. These results are the basis for researching the algorithm to optimize regenerative braking to save energy on electric vehicles.

Then, this research demonstrates the application of those models on an EV manufactured in Vietnam when operating in different real-time driving cycles in Hanoi city. These results can shed light on providing an efficient performance area for EVs.