Dr Alireza Maheri
Senior Lecturer, School of Engineering
Tel: +44 (0) 122 427 2501
Dr Maheri’s research background is in wind energy, hybrid renewable energy systems (HRES), decision support systems and multiobjective optimisation of multidisciplinary and integrated systems. His current research is funded by Scottish Funding Council, European Commission, National Decommissioning Centre and Carnegie Trust as well as industry.
His research in the field of HRES through two industrial collaborative projects ‘Distributed Adaptive Renewable Energy Systems-DARES (2010-2014)’ and ‘Renewable Energy Systems Tailored for End User-REST4U (2015-2018)’ has led to the development of new analysis and design optimisation methods for standalone and on-grid HRES. These methods have been implemented in the specialised end-user-centred design optimisation software tool MOHRES (http://mohres.com/). The tool has been adapted by industry and has been used to produce bespoke cost-effect and reliable HRES solutions for communities and farms as well as evaluation of different energy transition scenarios (read more here).
Dr Maheri started his research in the areas of decision support system and multiobjective optimisation of interdisciplinary problems in 2007, when working on the EC-funded project SimSAC for which he was the technical coordinator in charge of the development of a designer toolkit for aircraft systems. He is currently continuing his research in this area through two projects:
- A decision support system for oil & gas decommissioning, National Decommissioning Centre (2019-2022), and
- Eco-innovative concepts for the end of offshore wind energy farms lifecycle (DecomTools), EC Interreg NSR (2018-2022), in which he is the WP leader in charge of the development of a decision support system for decommissioning of offshore windfarms https://northsearegion.eu/decomtools/about/
His research in wind energy has been mainly focused on wind turbine smart blades, floating turbines and windfarm layout optimisation. His research in wind energy has led to over 40 publications and the development of a number of unique software tools for simulation, design and analysis of smart blades and windfarm planning. His current research on wind turbine smart blades made of functional materials is funded by Carnegie Trust (2019-2022).
Dr Maheri is the founder of the IEEE-sponsored conference Multidisciplinary Engineering Design Optimization and is a steering committee member of the IEEE-sponsored conference Environmental Friendly Energies & Applications since 2012.