Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 222222
Loughborough University

Centre for Renewable Energy Systems Technology (CREST)

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Dr Edward Barbour

Lecturer in Mechanical Engineering
PhD, MPhys

Tel: +44 (0)1509 635254

Location: DAV.1.025, DAV Building

Edward’s interest’s lie in the multidisciplinary field of Energy.

He did his PhD from 2009-2013 at the University of Edinburgh’s Institute for Energy Systems under the guidance of Prof Ian Bryden. His PhD project focussed on the development of Adiabatic Compressed Air Energy Storage (ACAES) and the economics of energy storage within the UK market framework.

He then worked as a postdoc for from 2014-2015 at the Birmingham Centre for Energy Storage (BCES) under the guidance of Dr Jonathan Radcliffe and Prof Yulong Ding, continuing to work on the economic case for energy storage.

In 2015-2018, he moved to Boston to work as a postdoc in the Civil and Environmental Engineering at MIT department under the guidance of Prof Marta Gonzalez, working in energy data analytics and distributed energy technologies.

As of 2019, he is a Lecturer in the Mechanical Engineering department at Loughborough University, working as part of the Centre for Renewable Energy Systems Technology (CREST).

 

2009—2013  UNIVERSITY OF EDINBURGH

Doctor of Philosophy in Mechanical Engineering, Supervisor: Prof. Ian Bryden

 

2004 – 2008 UNIVERSITY OF OXFORD, HERTFORD COLLEGE

Master of Physics

 

Best Research Paper - 2017 Pecan Street’s Student Research Competition, Austin, Texas

 

External Collaborators

  • University of Birmingham
  • Massachusetts Institute of technology
  • UC Berkeley
  • Lawrence Berkeley National Laboratory

Thermomechanical energy storage systems

Thermo-mechanical energy storage technologies, including Adiabatic Compressed Air Energy Storage (ACAES) and Pumped Thermal Energy Storage (PTES) have enormous potential for reducing the costs of large-scale energy storage. Additionally, they offer many synergies, for example, they can be integrated with waste heat sources or designed as dual output systems to meet both electrical and thermal energy demands. Edward’s research in this area is both experimental and simulation, ranging from rigorous thermodynamic analysis of systems and cycles, to designing, building and testing laboratory scale prototypes.

 

Energy data analytics

Big data is one of the hottest topics in energy research. Edward’s interests lie in using energy data and other data sources to carry out impact assessments for new and emerging technologies. These can ultimately be used for identifying new pathways for energy efficiency and optimal designs for future sustainable energy systems. His research in this area involves applying concepts from a range of disciplines, including operations research, applied computation and machine learning, as well as engaging with the energy policy making process.

 

(Co-Investigator) Awarded $100k from the MIT-Philips Lighting grand Challenge call for Smarter lighting for urban environments informed by mobile phone activity.

 

Awarded £1.2k for a travel grant by the UK Energy Storage Research Network to present at the inaugural Offshore Energy Storage conference in Windsor, Canada, July 2014.

 

Journal Articles

  1. Wilson, I. A. G., Barbour, E., Ketelaer, T., & Kuckshinrichs, W. (2018). An analysis of storage revenues from the time-shifting of electrical energy in Germany and Great Britain from 2010 to 2016. Journal of Energy Storage, 17, 446-456.
  2. Barbour, E., & González, M. C. (2018). Projecting battery adoption in the prosumer era. Applied Energy 215 (2018): 356-370.
  3. Barbour, E., Parra, D., Awwad, Z., & González, M. C. (2018). Community energy storage: A smart choice for the smart grid?. Applied Energy, 212, 489-497.
  4. Barbour, E., Wilson, I. G., Radcliffe, J., Ding, Y., & Li, Y. (2016). A review of pumped hydro energy storage development in significant international electricity markets. Renewable and Sustainable Energy Reviews, 61, 421-432.
  5. Barbour, E., Mignard, D., Ding, Y., & Li, Y. (2015). Adiabatic compressed air energy storage with packed bed thermal energy storage. Applied Energy, 155, 804-815.
  6. Burnett, D., Barbour, E., & Harrison, G. P. (2014). The UK solar energy resource and the impact of climate change. Renewable Energy, 71, 333-343.
  7. Barbour, E., Wilson, G., Hall, P., & Radcliffe, J. (2014). Can negative electricity prices encourage inefficient electrical energy storage devices?. International Journal of Environmental Studies, 71(6), 862-876.
  8. Gill, S., Barbour, E., Wilson, I. G., & Infield, D. (2013). Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme. IET Renewable Power Generation, 7(5), 421-430.
  9. Barbour, E., Wilson, I. G., Bryden, I. G., McGregor, P. G., Mulheran, P. A., & Hall, P. J. (2012). Towards an objective method to compare energy storage technologies: development and validation of a model to determine the upper boundary of revenue available from electrical price arbitrage. Energy & Environmental Science, 5(1), 5425-5436.
  10. Barbour, E., & Bryden, I. G. (2011). Energy storage in association with tidal current generation systems. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 225(4), 443-455.

Conference Proceedings

  1. Barbour, E., & González, M. (2018, November). Enhancing household-level load forecasts using daily load profile clustering. In Proceedings of the 5th Conference on Systems for Built Environments (pp. 107-115). ACM.
  2. Xu, S., Barbour, E. and Gonzalez, M.C. Household Segmentation by Load Shape and Daily Consumption. 6th International Workshop on Urban Computing held in Conjunction with ACM KDD 2017 Conference.
  3. Barbour, E. Energy Storage for Dispatchable Renewable Energy Conversion, International Network on Offshore Renewable Energy (INORE) Symposium May 2012, poster presentation.
  4. Gill, S., Barbour, E., Wilson, I. A. G., Infield, D. Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme, Renewable Power Generation IET Conference proceedings, pp.275-280, 6-8 Sept. 2011.
  5. Barbour, E. and Wilson, I.A.G. A Technical and Economic Model of Tidal Current Energy Conversion coupled with a Storage System, IRES 2010 Conference Proceedings, poster presentation.

Reports

  1. Brandon, N. P., Edge, J. S., Aunedi, M., Barbour, E. R., Bruce, P. G., Chakrabarti, B. K., ... & Grant, P. S. (2016). UK research needs in grid scale energy storage technologies. Energy SuperStore2016.
  2. Radcliffe, J., Taylor, P., Davies, L., Blyth, W. and Barbour, E. (2014). Energy Storage in UK and Korea: Innovation, investment and co-operation. Centre for Low carbon Futures Report. July 2014.

Conference Presentations

  1. Segmentation of household smart meter data linked to domestic PV and battery value. Pecan Street Research Conference, Austin, Texas, 6-7th March 2018.
  2. Assessing the value of distributed Energy Storage systems: A case study of the University of Birmingham. UK Energy Storage conference, 25 November 2014.
  3. A novel concept for isobaric Compressed Air Energy Storage. Offshore Renewable Energy Storage Conference, Windsor, ON, July 2014.
  4. The value of storage in the UK spot market. The International Conference on Sustainable Energy Storage will take place in the Europa Hotel, Belfast, UK from 21-24 February 2011.