Smart Generation - Dr. Firas

Group Name and Contact Person & No

Smart Power Generation

Dr Firas Basim Ismail Alnaimi

012-5548451

Research Scope

The focus of smart power generation group will mostly on using of advanced technologies and techniques to improve the efficiency, reliability, and sustainability of electricity generation systems.

This focus could include as well the use of renewable energy sources, such as solar and wind power, as well as the integration of advanced control systems and information technology to optimize power generation and distribution.

The group research in this area may involve a wide range of topics, including power plant performance, tripping and shutdowns, advance monitoring and control, and environmental impacts of power generation.

Happenings in Group

Our research group is focused on several key activities related to the power industry. These include:

·       Power Plant Performance Monitoring and Control: We investigate various methods and technologies to monitor and control power plant performance, with the aim of improving efficiency, reducing costs, and increasing reliability.

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·       Maintenance Scheduling Optimization: We develop and test different optimization techniques to minimize maintenance costs while maintaining equipment reliability and availability.

·       Renewable Power Generation Sources - Design/Optimization and Implementation: We conduct research on renewable energy sources, including solar, wind, and hydroelectric power, to optimize their design and implementation for maximum efficiency and effectiveness.

·       Smart Management of Renewable Sources: We develop and test smart grid technologies and energy storage systems to improve the management and integration of renewable energy sources into existing power grids.

·       Smart Solutions for Environmental Impacts of Power Generation Sources: We explore and propose smart solutions to mitigate the environmental impacts of power generation, with a focus on reducing carbon emissions and promoting sustainability.

·       AI Applications for Power Industry Problems: We investigate the application of artificial intelligence (AI) techniques to address power industry problems, including predictive maintenance, real-time optimization, and decision-making support.

Through our research activities, we aim to contribute to the development of more efficient, sustainable, and reliable power generation and distribution systems.

Research

(Notable Projects and Achievement)

Completed projects

·       Design of small-scale Wind Turbine with Optimal Site Selection.

·       An Artificial intelligence-Based Model to Determine the Water Content of transformer Insulation Paper

·       On-Load Tap Changer Diagnosis Using Oil Analysis And Artificial Intelligence For Maintenance Optimization.

·       Optimization of Cenosphere Extraction From TNB Power Plant.

·       Sustainable Hybrid Hydro – Solar Standalone System For Smart Power Generation And Controlled Irrigation.

·       Aerodynamics swirl flow field analysis to eliminate temperature deviation in tangential-fired furnace.

·       Design and Development of Maintenance Optimization Systems for Coal-Fired Power Plant Generators.

·       Cost optimization of a Malaysian car radiator working with nanofluid coolant using Artificial Neural Network and evolutionary computation

·       Operational Optimisation of Gas Turbines for Stesen Janaelektrik Sultan Iskandar (SJSI) Combined Cycle Power Plant.

·       Development of Gas Turbine Research and Training Facility.

·       Development and Application of Intelligent Condition Monitoring Systems for Steam Turbine Trips.