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Personal profile

Research interests

Sheila is a Lecturer (Assistant Professor) and Prize Fellow in Chemical Engineering.

Her research interests focus on multi-scale mathematical modelling and optimisation and their application to chemical engineering problems such as process synthesis and integration, whole systems design and operation, production planning and scheduling, supply/value chains, location and transportation problems and so on. In the particular, she has great interest in the following:

  • Multi-vector energy networks comprising technologies for conversion, storage and transport
  • Value chain modelling (hydrogen, biomass/bioenergy, CO2, etc.)
  • Heat, electricity, transport fuels, alternative energy vectors (e.g. hydrogen, syngas, methanol, ammonia)
  • Energy storage
  • Water exchange/distribution networks
  • Optimisation under uncertainty (stochastic analysis, robust optimisation etc.)
  • Efficient methods for large scale optimisation problems (e.g. decomposition)
  • Mathematical programming and game theory for decision-making
  • Application of methods in Artificial Intelligence (e.g. Constraint Programming) for planning and scheduling of chemical plants

     Sheila is leading a group of researchers developing large-scale optimisation models for integrated multi-scale systems: single technologies, systems at district, regional and national levels. Her projects include developing value chain models for hydrogen, biomass, syngas and CO2; hydrogen injection into the natural gas grid, funded by BEIS and EPSRC.

     She is the PI of an EPSRC/Newton Fund project to develop a model for biomass value chains and the food-energy-water-environment nexus. She is leading the modelling subtask of the International Energy Agency (IEA) Hydrogen Implementing Agreement Task 38 Power-to-Hydrogen-to-X.

     She received a “high commendation for outstanding contribution in research (Sir William Wakeham Prize 2016)” during her post-doctoral appointment at Imperial College London.

     She is a key developer of the Energy Technologies Institute's Biomass Value Chain Model, which is currently being used by the ETI, BEIS and ETI's industrial members to drive bioenergy policy in the UK.

     She is a Guest Editor of Special Issues in: Frontiers in Energy Research journal on "Integrated Energy Networks and Sustainable Value Chains" and Elsevier's Food and Bioproducts Processing journal on "Towards a sustainable bioeconomy: Working in harmony with the environment-food-energy-water nexus".

     Sheila is the pioneer of the Value Web Model, which transcends traditional supply chain models by modelling circular pathways and interlinking circular value chains (i.e. value webs). This has a wide range of applications at different spatial and temporal scales, including integrated energy systems, water networks, supply chains for food, chemicals etc. and the circular economy.

     Sheila received her PhD in Chemical Engineering from University College London and then worked as a Research Associate at the Department of Chemical Engineering at Imperial College London before joining University of Bath.

Willing to supervise PhD

Sheila is keen to supervise PhD projects on the following topics; please email her if you are interested:
• Integrated renewable energy value chains
• CO2 value chains
• Modelling heat networks
• Modelling water distribution networks
• Modelling energy storage (process and system level)
• Biomass value chain modelling: energy vs food production and/or food-energy-water-environment nexus
• Optimisation under uncertainty of integrated multi-vector energy networks
• Efficient methods for large scale optimisation models
• Application of methods in Artificial Intelligence (e.g. Constraint Programming) for planning and scheduling of chemical plants
• Optimising energy and/or systems in cities
• Modelling renewable hydrogen (or syngas or any energy vector) value chains
• Mathematical programming and game theory for decision-making

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Projects 2016 2021

Biomass Value Chain & EFEW Nexus

Samsatli, S., Hofman, J. & Martinez Hernandez, E.


Project: Research council

national strategy
food production

Use of hydrogen to mitigate intermittency in renewable generation in the UK

Samsatli, S.


Project: Central government, health and local authoritiesResearch, PGR Training Grant

Using a system of systems engineering approach to determine robust and strong value chains for hydrogen and CO2

Samsatli, S.


Project: Research-related fundingInternally Funded Research

Research Output 2007 2019

Mapping the spatial distribution and changes of oil palm land cover using an open source cloud-based mapping platform

Shaharum, N. S. N., Shafri, H. Z. M., Ghani, W. A. WAK., Samsatli, S., Prince, H. M., Yusuf, B. & Hamud, A. M., 3 Jan 2019, (Accepted/In press) In : International Journal of Remote Sensing.

Research output: Contribution to journalArticle

Open Access
2 Citations

A general mixed integer linear programming model for the design and operation of integrated urban energy systems

Samsatli, S. & Samsatli, N. J., 1 Aug 2018, In : Journal of Cleaner Production. 191, p. 458-479

Research output: Contribution to journalArticle

linear programing
Linear programming

A Multi-Objective MILP Model for Planning, Design and Operation of Biomass Supply Chains: Capturing the Trade-Offs within the Food-Energy-Water-Environment Nexus

Samsatli, S., 29 Oct 2018, Proceedings of the 2018 AIChE Annual Meeting. AIChE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

A Multi-Objective MILP Model for Spatio-Temporal Design and Operation of Multi-Product Oil Palm Value Chains

Tapia, J. F. & Samsatli, S., 29 Oct 2018, Proceedings of the 2018 AIChE Annual Meeting. AIChE

Research output: Chapter in Book/Report/Conference proceedingConference contribution