Dr Argyris Oraiopoulos

BSc MSc MRes PhD

  • Research Associate

Research and expertise

Dr Argyris Oraiopoulos is a Research Associate working in the EPSRC funded project FlexTECC, which aims to develop new techniques to enable buildings to operate efficiently and provide services to the broader energy system in order to meet national greenhouse gas emissions targets and ensure security in our energy system. Incorporating demand flexibility, where homes and workplaces modify their consumption at opportune moments, can reduce overall energy demand, increase the efficiency of grid operations, minimise the use of high carbon generators and increase the uptake of renewable energy sources. The FlexTECC control strategy will use a decentralised model predictive control framework to imbue buildings with the capability to minimise their own energy consumption but also offer their flexibility to an aggregator that can maximise the collective revenue. The decentralised approach is needed to minimise the problem complexity, provide autonomy to individual buildings and to enable a flexibility market.

Outline of main research interests

  • Urban Building Energy Modelling;
  • Energy Policy in the Built Environment;
  • Energy Sufficiency and the Introduction of Limits;
  • Indoor Overheating (criteria & predictions);
  • Time Series Analysis & Empirical Modelling;
  • Dynamic Thermal Simulation Modelling;
  • Occupant Behaviour & Attitudes;
  • Fuel Poverty and Disadvantaged Communities;
  • Displaced Populations due to Climate Change;
  • Public Engagement & Education (STEM & EWB Ambassador)

 

Recent publications

Peer reviewed

  • Oraiopoulos, A., Kane, T., Firth, S.K., Lomas K.J.  (2017) Development of a Statistical Model for the Prediction of Overheating in UK Homes Using Descriptive Time Series Analysis. In 15th Conference of International Building Performance Simulation Association (IBPSA).
  • Gustin, M., Oraiopoulos, A., McLeod, R.S., Lomas, K.J., (2017) A new empirical model incorporating spatial interpolation of meteorological data for the prediction of overheating risks in UK dwellings. In Passive Low Energy Architecture 2017 proceedings: ISBN (978-0-9928957-5-4)
  • Oraiopoulos, A. (2019) ‘Uncertainty analysis for different levels of detail (LODs) in neighbourhood scale energy modelling’, in Arslanli, K. Y. et al. (eds) Recent Advances in Energy Conservation Techniques for Buildings from Micro Scale to Urban Level. Coventry University Press.
  • Oraiopoulos, A., Kane, T., Firth, S.K., Lomas K.J. (2015) Measured internal temperatures in UK homes – A time series analysis and modelling approach. Energy Procedia. Elsevier B.V., 78, pp. 2844–2850. 

Book chapter

  • Oraiopoulos, A. (2019) ‘Uncertainty analysis for different levels of detail (LODs) in neighbourhood scale energy modelling’, in Arslanli, K. Y. et al. (eds) Recent Advances in Energy Conservation Techniques for Buildings from Micro Scale to Urban Level. Coventry University Press.

As part of ACE Research

All publications

Profile

Career 

I joined Loughborough University after an 8-month secondment in the Department of Business Energy and Industrial Strategy (BEIS) where I worked as a Technical Specialist for Energy and Buildings, part of the Built Environment team in the Science and Innovation for Climate and Energy (SICE) directorate. Prior to that I held research positions in the Association for the Conservation of Energy (ACE) and the Association for Decentralised Energy (ADE) and at Loughborough University where I worked on neighbourhood scale energy modelling. 

Professional affiliations

Awards

  • Newton Fund (2017)
  • Santander Fund (2017)
  • EPSRC (2012)