School of Mechanical, Electrical and Manufacturing Engineering

Staff

Diane Palmer

Photo of  Diane Palmer

Research Associate

Background:

Diane undertook her M.A. in IT and then M.Phil. in GIS at Nottingham University where she commenced her first research position. This involved the design and development of an online Geographical Information Systems course structured around inquiry-based learning.

Her next position was as the GIS trainer at the University of Sheffield to support the adoption of GI Science approaches for collaborative research across the University.  Diane has produced maps on every topic from migrating Neanderthals, ancient Greek artefacts and earthquakes in Asia to floods in the UK, deprived areas and dental decay in children.

Immediately before joining CREST, she was employed short-term at the University of Leicester, working as a member of a small team on the production of the UK CORINE land cover map 2012.  This involved developing and documenting a verification algorithm for the high resolution layers of the main land cover types.

Outline of main research interests:

  • Meteorology for predicting and monitoring photovoltaic energy production
  • Geographical Information Systems
  • Satellite modelling
  • Remote sensing
  • Solar Irradiation Variability
  • P. Rowley, P. Leicester, D. Palmer, P. Westacott, C. Candelise, T. Betts, and R. Gottschalg, “Multi-domain analysis of photovoltaic impacts via integrated spatial and probabilistic modelling,” IET Renew. Power Gener., vol. 9, no. 5, pp. 424–431, 2015.
  • Palmer, Diane; Cole, Ian; Betts, Thomas; Gottschalg, Ralph, 2016, Assessment of Potential for Photovoltaic Roof Installations by Extraction of Roof Slope from LiDAR Data and Aggregation to Census Geography, IET Renew. Power Gener., vol. 10, no. 4, pp. 467–473, 2016. DOI 10.1049/iet-rpg.2015.0388.  URL:< http://ietdl.org/t/CYmlmb>
  • E. Koubli, D. Palmer, P. Rowley, and R. Gottschalg, 2016, “Inference of missing data in photovoltaic monitoring datasets,” vol. 10, no. 4, pp. 434–43. DOI 10.1049/iet-rpg.2015.0355.
  • D. Palmer, E. Koubli, I. Cole, T. Betts and R. Gottschalg, 2016, “Comparison of Solar Radiation and PV Generation Variability: System Dispersion in the UK”, accepted for publication in IET Renewable Power Generation
  • Diane Palmer, Ian Cole, Tom Betts, Ralph  Gottschalg, 2017, “Interpolating and estimating horizontal diffuse solar irradiation to provide UK-wide coverage:  selection of the best performing models”, accepted for publication in Energies, Special Issue “Solar Photovoltaics Trilemma: Efficiency, Stability and Cost Reduction 2017”.
  • B. Goss, I.R. Cole, E. Koubli, D. Palmer, T.R. Betts & R. Gottschalg. “Modelling and prediction of PV module energy yield”, Chapter 5 in The Performance of Photovoltaic Systems: Modelling, measurement and assessment, ed. Nicola Pearsall, Woodhead Publishing, November 2016