Department of Chemical Engineering

Dr Sheila Samsatli

SSamsatli - Photo for web page 19\'6\'17

 

 

 

 

 

 

 

 

 

Contact details

Room: Wessex House 7.28
Tel: +44 (0) 1225 384799
Emails.m.c.samsatli@bath.ac.uk

PhD, MSc, AMIChemE

Profile

Sheila is the 50th Anniversary Prize Fellow in Chemical Engineering and a member of academic staff.

She is leading a growing 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 in Malaysia. 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 guest associate editor of a special issue in Frontiers in Energy Research journal on "Integrated Energy Networks and Sustainable Value Chains".

Sheila is the pioneer of the Value Web Model, a concept that transcends traditional supply chains by modelling circular pathways and interlinking value chains. 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. 

Education

Sheila received her PhD in Chemical Engineering from University College London in 2012 and then worked as a Research Associate at the Department of Chemical Engineering at Imperial College until June 2016.

PhD supervision

Sheila is available to supervised research degree projects.  She is keen to supervise PhD projects on the following topics; please e-mail her if you are interested:

  • Biomass value chain modelling: energy vs food production and/or food-energy-water-environment nexus
  • Optimisation under uncertainty
  • 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 water systems in cities
  • Mathematical programming and game theory for decision-making.

 

Teaching

  • CE30122 MEng Research Project

Research

Sheila’s 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 (biomass, CO2, etc.)
  • Heat, electricity, transport fuels, alternative energy vectors (e.g. hydrogen, syngas, methanol, ammonia)
  • 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

Current research projects 

  • EPSRC/Newton Fund project on biomass value chain modelling in Malaysia (Grant No. EP/P018165/1)   
  • BEIS/EPSRC-funded project on hydrogen injection into the natural gas grid (PhD student: Chris Quarton)
  • URS-funded project on modelling and optimisation of renewable hydrogen and CO2 value chains (PhD student: André Pereira)
  • IEA HIA Task 38 Power to Hydrogen to X
  • CO­2 as a feedstock for fuels and chemicals: whole-systems value chain modelling
  • Integrated multi-vector energy networks and value chains
  • Resource management in cities and energy parks
  • Value web modelling: working with international researchers to configure my models for their countries 

Publications

Book Sections

Dickinson, R., Le Duigou, A., Lucchese, P., Mansilla, C., Tlili, O., Samsatli, S., Thomas, D., Dolci, F., Weidner, E., Lymperopoulos, N., Samsatli, N. J. and Weeda, M., 2017. Power-to-Hydrogen and Hydrogen-to-X pathways: opportunities for next generation energy systems. In: Proceedings of the 14th International Conference on the European Energy Market.Vol. 14. IEEE.

Ang, S. M. C., Brett, D.J.L. and Fraga, E.S., 2010. Optimal design of fuel cell systems. In: Johnson, A.E. and Williams, E.C., eds. Fuel Cell Efficiency. Nova Science Publishers, Inc., pp. 193-252. (Energy Science, Engineering and Technology)

Articles

Martinez-hernandez, E. and Samsatli, S., 2017. Biorefineries and the food, energy, water nexus — towards a whole systems approach to design and planning. Current Opinion in Chemical Engineering, 18, pp. 16-22.

Samsatli, S. and Samsatli, N. J., 2017. Forthcoming. A multi-objective MILP model for the design and operation of future integrated multi-vector energy networks capturing detailed spatio-temporal dependencies. Applied Energy

Samsatli, S., Staffell, I. and Samsatli, N. J., 2016. Optimal design and operation of integrated wind-hydrogen-electricity networks for decarbonising the domestic transport sector in Great Britain. International Journal of Hydrogen Energy, 41, pp. 447-475.

Dominguez-Ramos, A., Triantafyllidis, C., Samsatli, S., Shah, N. and Irabien, A., 2016. Renewable electricity integration at a regional level:Cantabria case study. Computer Aided Chemical Engineering, 38, pp. 211-216.

Samsatli, S., Ramos, A., Matchett, M., Brandon, N. P., Shah, N. and Samsatli, N. J., 2016. Whole-systems modelling of alternatives for future domestic transport. Computer Aided Chemical Engineering, 38, pp. 457-462.

Samsatli, S. and Samsatli, N. J., 2015. A general spatio-temporal model of energy systems with a detailed account of transport and storage. Computers and Chemical Engineering, 80, pp. 155-176.

Samsatli, S., Samsatli, N. J. and Shah, N., 2015. BVCM:a comprehensive and flexible toolkit for whole-system biomass value chain analysis and optimisation - mathematical formulation. Applied Energy, 147, pp. 131-160.

Stockford, C., Brandon, N., Irvine, J., Mays, T., Metcalfe, I., Book, D., Ekins, P., Kucernak, A., Molkov, V., Steinberger-Wilckens, R., Shah, N., Dodds, P., Dueso, C., Samsatli, S. and Thompson, C., 2015. H2FC SUPERGEN:an overview of the hydrogen and fuel cell research across the UK. International Journal of Hydrogen Energy, 40 (15), pp. 5534-5543.

Ang, S. M. C., Brett, D. J. L., Staffell, I., Hawkes, A. D., Fraga, E. S., Samsatli, N. J. and Brandon, N. P., 2012. Design of fuel-cell micro-cogeneration systems through modeling and optimization. Wiley Interdisciplinary Reviews: Energy and Environment, 1 (2), pp. 181-193.

Ang, S. M. C., Fraga, E. S., Brandon, N. P., Samsatli, N. J. and Brett, D. J. L., 2011. Fuel cell systems optimisation – Methods and strategies. International Journal of Hydrogen Energy, 36 (22), pp. 14678-14703.

Ang, S. M. C., Brett, D. J. L. and Fraga, E. S., 2010. A multi-objective optimisation model for a general polymer electrolyte membrane fuel cell system. Journal of Power Sources, 195 (9), pp. 2754-2763.

Ang, S. M. C., Brett, D. J. L. and Fraga, E. S., 2010. A model for the multi-objective optimisation of a polymer electrolyte fuel cell micro-combined heat and power system. Computer Aided Chemical Engineering, 28, pp. 949-954.

Conference or Workshop Items

Lucchese, P., Mansilla, C., Dolci, F., Dickinson, R., Funez, C., Grand-Clément, L., Hilliard, S., Proost, J., Robinius, M., Salomon, M. and Samsatli, S., 2017. Power-to-Hydrogen and Hydrogen-to-X: Latest results of Task 38 of the IEA Hydrogen Implementing Agreement. In: European Fuel Cell Technology & Applications Conference - Piero Lunghi Conference, 2017-12-12 - 2017-12-15.

Samsatli, S., 2017. Value Web Model: a powerful approach for strategic planning and tactical operations of integrated multi-vector energy systems. In: 9th International Conference on Applied Energy, 2017-08-21 - 2017-08-24.

Robinius, M., Welder, L., Ryberg, S., Dickinson, R., Gammon, R., Samsatli, S., Mansilla, C., Lucchese, P., Tlili, O., Balan, M., Dolci, F., Meeks, N.D. and Valentin, S., 2017. Power-to-Hydrogen and Hydrogen-to-X: Which markets? Which economic potential? Answers from the literature. In: 14th International Conference on the European Energy Market 2017, 2017-06-06 - 2017-06-09. IEEE, pp. 1-6.

Dickinson, R. R., Lymperopoulos, N., Le Duigou, A., Lucchese, P., Mansilla, C., Tlili, O., Samsatli, N. J., Samsatli, S., Weeda, M., Thomas, D., Mancarella, P., Dolci, F. and Weidner, E., 2017. Power-to-hydrogen and hydrogen-to-X pathways:Opportunities for next generation energy systems. In: 14th International Conference on the European Energy Market, EEM 2017, 2017-06-06 - 2017-06-09. IEEE Computer Society.

Robinius, M., Welder, L., Ryberg, D. S., Mansilla, C., Lucchese, P., Tlili, O., Le Duigou, A., Simon, J., Balan, M., Dickinson, R. R., Dolci, F., Weidner, E., Gammon, R., Daniel Meeks, N., Pereira, A., Samsatli, S. and Valentin, S., 2017. Power-to-hydrogen and hydrogen-to-X:Which markets? Which economic potential? Answers from the literature. In: 14th International Conference on the European Energy Market, EEM 2017, 2017-06-06 - 2017-06-09. IEEE Computer Society.

Samsatli, S., Samsatli, N. J., Andre, J., Dickinson, R., Eichman, J., Gammon, R., Ishimoto, Y., Leaver, J., Mancarella, P., Zucker, A., Lucchese, P., Mansilla, C. and Le Duigou, A., 2017. The role of Power-to-Hydrogen and Hydrogen-to-X in the energy system:what do models say? In: 40th International Association for Energy Economics Conference 2017, 2017-06-18 - 2017-06-21.

Dickinson, R., Dolci, F., Le Duigou, A., Lucchese, P., Lymperopoulos, N., Mansilla, C., Samsatli, S., Samsatli, N. J., Thomas, D., Weeda, M., Weidner, E. and Tlili, E., 2017. Power-to-Hydrogen and Hydrogen-to-X pathways:opportunities for next generation energy systems. In: 14th International Conference on the European Energy Market 2017, 2017-06-06 - 2017-06-09.

Robinius, M., Welder, L., Ryberg, S., Mansilla, C., Albertin, E., Aupretre, F., Balan, N., Dickinson, R., Gammon, R., Ito, H., Kirkengen, M., Meeks, N., Ridell, B., Samsatli, S., Samsatli, N. J., Simon, J., Thomas, D., Valentin, S., Wehling, A., Weidner, E., Lucchese, P., Le Duigou, A. and Tlili, O., 2017. Power-to-Hydrogen and Hydrogen-to-X:which markets? Which economic potential? Answers from the literature. In: 14th International Conference on the European Energy Market 2017, 2017-06-06 - 2017-06-09.

Robinius, M., Welder, L., Ryberg, S., Dickinson, R., Gammon, R., Samsatli, S., Mansilla, C., Lucchese, P., Tlili, O., Balan, M., Dolci, F., Meeks, N.D. and Valentin, S., 2017. Power-to-Hydrogen and Hydrogen-to-X: Which markets? Which economic potential? Answers from the literature. In: 14th International Conference on the European Energy Market 2017, 2017-06-06 - 2017-06-09.

Prates Pereira, A. and Samsatli, S., 2017. Optimising renewable hydrogen value chains for heat demands. In: International Energy Agency Hydrogen Implementing Agreement Task 38 :: Energy system models and the role of hydrogen, 2017-05-18 - 2017-05-19.

Samsatli, S. and Samsatli, N.J., 2016. Modelling the Gradual Expansion of Integrated Wind-Hydrogen-Electricity Networks That Decarbonise the Domestic Transport in Great Britain By 2050. In: 2016 AIChE Annual Meeting, 2016-11-13 - 2016-11-18, San Fracisco. AIChE.

Samsatli, S. and Samsatli, N.J., 2016. Optimal design and operation of integrated multi-vector energy networks. In: 2016 AIChE Annual Meeting, 2016-11-13 - 2016-11-18, San Fracisco. AIChE.

Samsatli, S., 2016. Whole-systems modelling of CO2 value chains in the UK. In: CO2 Utilisation Symposium, 2016-10-05.

Samsatli, S., 2016. Modelling future hydrogen systems:the potential role of FC technologies, electrolysers and hydrogen storage. In: H2FC SUPERGEN Research Forum 2016, St. Andrews, UK., 2016-09-01 - 2016-09-02, University of St. Andrews.

Samsatli, S., 2016. Renewable hydrogen value chains and integrated networks in Great Britain. 8th SHFCA Conference 2016, St. Andrews, UK.

Samsatli, S., 2016. Modelling integrated multi-vector energy systems capturing spatial dependencies and hourly operation over a long-term planning horizon. In: WholeSEM Annual Conference, 2016, 2016-07-04 - 2016-07-05.

Samsatli, S., 2016. Modelling and optimisation of renewable hydrogen value chains. 21st World Hydrogen Energy Conference 2016, Zaragoza, Spain.

Samsatli, S., 2015. Modelling and optimisation of renewable hydrogen value chains and integrated networks in Great Britain. In: H2FC: Hydrogen & Fuel Cell Researcher Conference 2015, 2015-12-14 - 2015-12-16, University of Bath.

Samsatli, S., 2015. Whole-system optimisation of integrated wind-hydrogen-electricity networks. In: World Hydrogen Technologies Convention 2015, 2015-10-11 - 2015-10-14, Australia Technology Park.

Shah, N. and Samsatli, S., 2015. Modelling the future of hydrogen systems. In: 2015 Hydrogen and Fuel Cells Researchers Forum, 2015-09-08 - 2015-09-09, Cardiff University.

Samsatli, S., 2015. A general spatio-temporal model of energy systems, STeMES, and its application to wind-hydrogen-electricity networks in Great Britain. In: wholeSEM Annual Conference 2015, 2015-07-06 - 2015-07-07, Murray Edwards College, Cambridge.

Samsatli, S., 2015. Optimal design and operation of integrated wind-hydrogen-electricity networks for decarbonising the domestic transport sector in Great Britain. In: Fuel Cells & Hydrogen Technical Conference 2015, 2015-05-19 - 2015-05-21, Millennium Point.

Samsatli, S., Samsatli, N. and Shah, N., 2015. Whole-system optimisation of integrated wind-electricity-hydrogen networks for decarbonising the domestic transport sector in Great Britain. In: Computing and Systems Technology Division 2015 - Core Programming Area at the 2015 AIChE Annual Meeting, 2015-11-08 - 2015-11-13. New York, U. S. A.: AIChE, pp. 955-970.

Samsatli, S., 2014. Addressing the challenge of modelling energy storage in a whole energy system. In: wholeSEM Annual Conference 2014, 2014-07-08 - 2014-07-09, Royal Academy of Engineering.

Samsatli, S., 2014. A comprehensive and flexible toolkit for whole system biomass analysis and optimisation. In: International Bioenergy Conference 2014, 2014-03-11 - 2014-03-13, Manchester Central Convention Complex.

Samsatli, S., 2013. Optimal design of a future hydrogen supply chain using a multi-timescale and spatially-distributed model. In: H2FC SUPERGEN Researcher Conference 2013, 2013-12-16 - 2013-12-18, University of Birmingham.

Samsatli, S., 2013. Multi-time scale modelling and analysis of the future hydrogen supply chain. In: All-Energy Conference 2013, 2013-05-22 - 2013-05-23, Aberdeen Exhibition & Conference Centre.

Samsatli, S., 2011. Optimal design of a fuel cell micro-cogeneration plant. In: Supergen Fuel Cell Meeting 2011, 2011-05-17.

Samsatli, S., 2011. Optimal design of fuel cell systems. In: Postgraduate Symposium in Electrochemistry 2011, 2011-06-01, University College London.

Samsatli, S., 2010. Turning homes into power stations:optimal design of fuel cell micro-combined heat and power systems. In: UKERC Annual Assembly and Summer School 2010, 2010-06-20 - 2010-06-25, University of Warwick.

Samsatli, S., 2009. A model for the multi-objective optimisation of polymer electrolyte fuel cell systems. In: Electrochem 2009, 2009-06-17, University College London.

Samsatli, S., 2009. Multi-objective optimisation of a polymer electrolyte fuel cell micro-combined heat and power (PEFC/mCHP) system. In: Centre for Process Systems Engineering Industrial Symposium 2009, 2009-12-02, Imperial College London.

Thesis

Samsatli, S., 2012. Model-based design and operation of fuel cell systems. Thesis (Doctor of Philosophy (PhD)). University College London.

Samsatli, S., 2007. Sensitivity analysis and optimisation of the operating parameters of a proton exchange membrane fuel cell. Thesis (Masters). National Taiwan University of Science and Technology.

This list was generated on Mon Oct 16 13:13:09 2017 IST.