The University of Technology- Iraq Presents Applied Research to Support Energy the Sector at Ministry of Electricity

In line with its commitment to fostering effective partnerships between academia and government sectors, the University, represented by the Scientific Affairs Department / Scientific Output Marketing Division, has initiated communication with the Ministry of Electricity to explore the potential application of applied research produced by the Energy Technology and Renewable Energies Center. This collaboration aims to enhance the Ministry’s operations and its affiliated departments.

The proposed research portfolio includes a range of specialized scientific projects in sustainable energy and advanced technologies designed to support and advance the nation’s electricity sector.

A novel hybrid thermoelectric generator configuration with blocking diodes to reduce power loss by preventing reverse current effects under non-uniform temperature distribution.
Strategy for enhancing energy conversion efficiency and cyclist helmet safety: A theoretical and experimental study of diverse thermoelectric generator models.
Entropy generation analysis for vertical flat and corrugated surface by natural convection and radiation at constant heat flux.
Experimental and numerical analyses of water droplet condensation on photovoltaic surfaces under clean and dusty conditions.
Phase change material nanocomposite for thermal energy storage applications on solar water heater.
Optimal nanofluid selection for photovoltaic/thermal (PV/T) systems in adverse climatic conditions.
Dust ingredients influence on photovoltaic module performance: An experimental investigation.
Experimental evaluation of dust composition impact 0n photovoltaic performance in Iraq.
Evaluation of photovoltaic thermal system performance with different nanoparticle sizes via energy, and irreversibility analysis.
Performance enhancement of photovoltaic/thermal collector semicircle absorber tubes using nanofluid and NPCM.
Performance evaluation of solar photovoltaic/thermal system performance: An experimental and artificial neural network approach.