Dr Adib Allahham

Assistant Professor

Department: Mathematics, Physics and Electrical Engineering

Research Themes and Scholarly Interests

Dr. Adib Allahham’s expertise lies in smart grids, electricity distribution, the power sector, and multi-vector energy systems. His work focuses on addressing the urgent need to cost-effectively decarbonise the energy sector over the next 30 years by enabling innovative network integration of new energy generation and incorporating diverse energy vectors, including hydrogen. Through a combination of computer simulations, laboratory investigations, and demonstration projects, Dr. Allahham contributes to generating new knowledge that supports this critical transition.

Key Publications

A hybrid method based on logic predictive controller for flexible hybrid microgrid with plug-and-play capabilities, Cavus, M., Allahham, A., Adhikari, K., Giaouris, D. 1 Apr 2024, In: Applied Energy
A robust Logistics-Electric framework for optimal power management of electrified ports under uncertain vessel arrival time, Sarantakos, I., Nikkhah, S., Peker, M., Bowkett, A., Sayfutdinov, T., Alahyari, A., Patsios, C., Mangan, J., Allahham, A., Bougioukou, E., Murphy, A., Pazouki, K. 1 Mar 2024, In: Cleaner Logistics and Supply Chain
A systematic review of modelling methods for studying the integration of hydrogen into energy systems, Zhang, T., Qadrdan, M., Wu, J., Couraud, B., Stringer, M., Walker, S., Hawkes, A., Allahham, A., Flynn, D., Pudjianto, D., Dodds, P., Strbac, G. 16 Oct 2024, In: Renewable and Sustainable Energy Reviews
Building-to-building energy trading under the influence of occupant comfort, Nikkhah, S., Allahham, A., Alahyari, A., Patsios, C., Taylor, P., Walker, S., Giaouris, D. 1 Aug 2024, In: International Journal of Electrical Power and Energy Systems
Enhanced Microgrid Control through Genetic Predictive Control: Integrating Genetic Algorithms with Model Predictive Control for Improved Non-Linearity and Non-Convexity Handling, Cavus, M., Allahham, A. 5 Sep 2024, In: Energies
Hybrid Intelligent Control System for Adaptive Microgrid Optimization: Integration of Rule-Based Control and Deep Learning Techniques, Akbulut, O., Cavus, M., Cengiz, M., Allahham, A., Giaouris, D., Forshaw, M. 8 May 2024, In: Energies
Multi-port coordination: Unlocking flexibility and hydrogen opportunities in green energy networks, Nikkhah, S., Alahyari, A., Rabiee, A., Allahham, A., Giaouris, D. 1 Jul 2024, In: International Journal of Electrical Power and Energy Systems
A novel characteristic-based degradation model of Li-ion batteries for maximum financial benefits of energy storage system during peak demand reductions, Lam, D., Lim, Y., Wong, J., Allahham, A., Patsios, C. 1 Aug 2023, In: Applied Energy
Design of cost-based sizing and energy management framework for standalone microgrid using reinforcement learning, Khawaja, Y., Qiqieh, I., Alzubi, J., Alzubi, O., Allahham, A., Giaouris, D. 1 Feb 2023, In: Solar Energy
Digitalization for Port Decarbonization: Decarbonization of key energy processes at the Port of Tyne, Sarantakos, I., Bowkett, A., Allahham, A., Sayfutdinov, T., Murphy, A., Pazouki, K., Mangan, J., Liu, G., Chang, E., Bougioukou, E., Patsios, H. Mar 2023

Qualifications

Control Engineering PhD October 22 2008
Electrical Engineering MSc August 31 2004
Electrical Engineering BEng

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