Biography
Dr Purusothmn Nair will be the lead researcher for WP4 on Sprint 2 of the Oxford Agile Initiative working on mathematical optimisation for nutrient recovery. He joined the University of Oxford as a postdoctoral research assistant after completing his PhD in Chemical Engineering (Process Integration) at the University of Nottingham Malaysia. His PhD research focused on the development of process integration techniques for determining the optimal deployment of negative emissions technologies for sustainable energy planning.
Throughout his research, he made use of various tools such as Python, LINGO and Microsoft Excel to perform process optimisation. During his PhD, he was also the lead developer of the COP26 Trilateral Research Initiative Grant hosted by the British Council. This grant was purposed to establish and develop trilateral collaborative partnerships between institutions in the United Kingdom, Japan and one or more ASEAN countries. He was responsible for formulating an energy planning model tailored to the ASEAN region. Before pursuing a PhD, he graduated with First Class Honours in Chemical Engineering from the University of Manchester in 2018.
Research Interests
- Carbon-constrained energy planning
- Sustainability
- Circular Economy
- Mathematical Optimisation
- Process Simulation & Modelling
Current Projects
Oxford Agile Initiative - I am developing mathematical optimisation models for maximising nutrient recovery from various waste streams, in view of the circular economy.
Research Groups
Related Academics
Publications
- A process integration-based multiperiod energy planning model for CO2-intensive industries.
- Disjunctive fuzzy optimisation of electricity generation by biomass power producers in a feed-in tariff programme
- A Planning Tool for Long-term Enterprise-scale Decarbonisation with Carbon Dioxide Removal Technologies
- Computing optimal carbon dioxide removal portfolios
- Extended graphical approach for the implementation of energy-consuming negative emission technologies
- Regional carbon drawdown with enhanced weathering of non-hazardous industrial wastes
- A generic algebraic targeting approach for integration of renewable energy sources, CO2 capture and storage and negative emission technologies in carbon-constrained energy planning
- Extended Graphical Approach for the Deployment of Negative Emission Technologies