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Professor Maria Kolokotroni

Professor Maria Kolokotroni
Associate Dean E&D / Professor

Howell Building 122

Summary

Academic Career

I studied for an MSc in Environmental Design and Engineering at the Bartlett School, University College London (UCL). I stayed at UCL to carry out a PhD on the 'Thermal Performance of Housing' and further on for a post-doc on a two year project to develop environmental design guidance for research laboratories. I then moved on to the University of Westminster for a three-year post-doc on an EPSRC funded project dealing with Moisture in Residential Buildings. I joined Brunel in 1998.

Industrial Career

I worked for five years at the Building Research Establishment, Garston in the Indoor Environment Division. My research work focused on the application of natural ventilation strategies in office buildings as well as other energy and indoor air quality related issues in non-domestic buildings.

Newest selected publications

Zhang, C., Kazanci, OB., Levinson, R., Heiselberg, P., Olesen, BW., Chiesa, G., et al. (2021) 'Resilient cooling strategies – A critical review and qualitative assessment'. Energy and Buildings, 251. pp. 111312 - 111312. ISSN: 0378-7788 Open Access Link

Journal article

Chiesa, G., Kolokotroni, M. and Heiselberg, P. (2021) 'Innovations in Ventilative Cooling'. Springer. ISSN 10: 3030723844 ISSN 13: 9783030723842

Book

Parupudi, RV., Singh, H., Kolokotroni, M. and Tavares, J. (2021) 'Long term performance analysis of low concentrating photovoltaic (LCPV) systems for building retrofit'. Applied Energy, 300 (15 October 2021). pp. 1 - 11. ISSN: 0306-2619 Open Access Link

Journal article

Kolokotroni, M. and Salvati, A. (2021) 'Comfort and Energy Implications of Urban Microclimate in High Latitudes', in Palme, M. and Salvati, A. (eds.) Urban Microclimate Modelling for Comfort and Energy Studies. Springer. ISBN 10: 3030654206. ISBN 13: 9783030654207.

Book chapter

Granell, R., Axon, CJ., Kolokotroni, M. and Wallom, DCH. (2021) 'Predicting electricity demand profiles of new supermarkets using machine learning'. Energy and Buildings, 234. pp. 110635 - 110635. ISSN: 0378-7788 Open Access Link

Journal article
More publications(64)