Chris Underwood
Prof. Chris Underwood BSc PhD CEng MCIBSE MASHRAE
Tel: 0191 227 3533
E-Mail: chris.underwood@northumbria.ac.uk
Chris Underwood is Professor of Energy Modelling for the Built Environment,
having originally joined the School as a researcher in 1981. His
research interests lie in the adaptive control of building systems;
building energy ‘microgrids’ and geothermal heating and cooling systems.
He has published over 60 refereed research papers and books and holds
the CIBSE Dufton and Napier-Shaw medals for research outputs. His
teaching interests lie in cogenerating systems, heat pumps, air
conditioning and refrigeration. He has authored over 50 consultancy
reports on subjects ranging from the modelling of cogenerating systems to
the design analysis of geothermal heating and cooling systems and is a Director of Geothermal+ Ltd.
Recent Research Publications
Giddings, R.D.G. & Underwood, C.P. (2007)
Renewable energy in remote communities. Journal of Environmental
Planning and Management, 50(3), 397-419.
Underwood, C.P., Ramachandran, J., Giddings, R.D. and
Alwan, Z. (2007) Renewable energy clusters for remote communities. Applied
Energy, 84(6) pp.579-98.
Underwood, C.P. and Spitler, J.D. (2007) Analysis of
vertical ground loop heat exchangers applied to buildings in the UK.
Building Services Engineering Research and Technology 28(2)
pp.133-59.
Hamza, N., Gomaa, A. G. and Underwood, C. P. (2007)
Daylighting and thermal analysis of obstructed double skin façade in hot
arid areas. Proceedings of Wellbeing Indoors, Clima 07,
Helsinki.
Gomaa, A.G., Hamza, N. and Underwood, C.P. (2007)
Three-dimensional CFD numerical analysis of double skin façade in hot arid
climates. Proceedings of Heat Transfer in Components and Systems for
Sustainable Eenryg Technologies – Heat-SET 2007, Chambery.
Gouda, M. M., Danaher, S. & Underwood, C. P. (2006)
Quasi-adaptive fuzzy heating control of solar buildings. Building and
Environment 41 pp. 1881-91.
Underwood, C.P. (2006) ‘The application of fuzzy systems
to control and modelling of building systems’, in Kalogirou, S. (ed.)
Artificial Intelligence in Energy and Renewable Energy Systems.
Hauppauge, NY: Nova Science Publishers, 269-307.
Underwood, C.P. & Yik, F.W.H. (2004) Modelling Methods
for Energy in Buildings. Oxford: Wiley-Blackwell.
