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

Centre for Renewable Energy Systems Technology (CREST)

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Dr Paul Rowley

Senior Lecturer, Renewable Energy Systems
BSc PhD PGCE MEInst

Tel: +44 (0)1509 635345

Location: MBG 0J16, Garendon Wing, Holywell Park

Paul's research focuses on the modelling and simulation of low carbon energy systems under uncertainty, together with the integration of electrical and thermal energy storage systems. He leads the Multi-scale Energy Systems Analysis Group at the Centre for Renewable Energy Systems Technology (CREST). 

He is currently involved in the EPSRC-funded WISE-PV, PV2025 and IDRIST projects, and leads the ETI-sponsored 'Commercialisation of Community Energy & Storage' project.

His undergraduate and postgraduate teaching duties include courses covering sustainability, energy system analysis, energy markets, investment and risk.

External Profile

  • Member of EPSRC Peer Review College
  • European Commision Eurostars peer reviewer and member of Technical Experts database
  • Peer reviewer for Innovation Fund, Denmark 
  • Visiting Senior Fellow, UNSW, Australia
  • Member of European Energy Research Alliance JP4 (Smart Cities) 
  • Member of the Energy Institute
  • Fellow, Higher Education Academy
  • UG and PG External examiner (Universities of Ulster & Lincoln)

 See all Paul Rowley's publications

 Some selected publications:

"Probabilistic evaluation of PV systems using Bayesian networks: A discounted cash flow assessment", Journal of Progress in Photovoltaics: Research and Applications, 2016

"Utilising a Risk-Based Systems Approach in the Due Diligence Process for Renewable Energy Generation", 2011

"Inference of missing data in photovoltaic monitoring datasets", IET Renewable Power Generation Journal, 2016."

"Towards low carbon homes – A simulation analysis of building-integrated air-source heat pump systems"Energy and Buildings, 2012

"Photovoltaic energy competitiveness and risk assessment for the South African residential sector", Journal of Progress in Photovoltaics: Research and Applications, 2016

'A techno-economic analysis of small-scale, biomass-fuelled combined heat and power for community housing'Biomass and Bioenergy, 2011

"Probabilistic analysis of solar photovoltaic self-consumption using Bayesian network models", IET Renewable Power Generation Journal, 2016

"The value of electric vehicles in the context of evolving electricity markets", European Energy Market (EEM) Conf, 2015

"Multi-domain analysis of photovoltaic impacts via integrated spatial and probabilistic modelling", IET Renewable Power Generation Journal, 2015

Paul Rowley obtained his PhD in Materials Sciences at the University of Cambridge, UK and has over 25 years academic and industrial experience within the international energy sector. This includes R&D within the nuclear, coal and solar industries at the National Research Council (Canada), the National Physical Laboratory and BNFL (UK) and the University of New South Wales (Australia), together with commercial experience at BP Solar. Since 2008, Paul has led the Multi-scale Energy Systems Analysis (MESA) group at CREST.  

His past and current research is wide ranging  and includes the materials science of corrosion protection for  thermal power generation (Cambridge, NPL and NRC), 'Smart' building monitoring and control systems (TSB/IUK) and energy storage, embedded generation and systems modelling (EPSRC, Alactel Lucent,  Energy Technologies Institute).

Dr Rowley is a qualified teacher, and has extensive experience in e-learning & blended learning, game-based pedagogy and academia-industry knowldege transfer.

He is married with two children, and originally hails from Cumbria in the North of England. He enjoys most sports including football (playing and watching), hiking, tennis, swimming/diving and travelling light in wild places.

Paul Rowley's work spans research in 'Smart' heat and electrical energy systems, modelling of risk and uncertainty in energy systems (including the influence of human factors), community energy frameworks, probabilistic and stochastic methods and renewable energy applications for developing countries. 

Current research activities include:

  • Smart city transitions
  • Responsive microgeneration and storage
  • Managing risk and uncertainty in renewable energy systems
  • Understanding the impact of human factors on the performance of embedded microgeneration
  • Optimising community energy frameworks for 'triple bottom line' impacts
  • Bayesian probabilistic and stochastic dynamic methods for distributed energy networks 
  • Whole energy system modelling and analysis at multiple spatial and temporal scales
  • Renewable energy applications for Malawi.

Paul has successfully supervised many PhD students over the past decade. Many of these have been in conjunction with industry and academic partners (including the Schools of Business, Geography, Civil and Building Engineering and Social Sciences).

His current PhD student team is researching a diverse range of topics, including embedded community energy and storage, renewable energy system data analysis and simulation, renewables and energy markets and sustainable energy for development in sub-saharan Africa.

Paul is interested in talking with top quality students who are interested in joining his team. Please contact him for an informal discussion. 

See all Paul Rowley's research publications

 Selected publications:

"Probabilistic evaluation of PV systems using Bayesian networks: A discounted cash flow assessment", Journal of Progress in Photovoltaics: Research and Applications, 2016

"Utilising a Risk-Based Systems Approach in the Due Diligence Process for Renewable Energy Generation", 2011

"Inference of missing data in photovoltaic monitoring datasets", IET Renewable Power Generation Journal, 2016."

"Towards low carbon homes – A simulation analysis of building-integrated air-source heat pump systems", Energy and Buildings, 2012

"Photovoltaic energy competitiveness and risk assessment for the South African residential sector", Journal of Progress in Photovoltaics: Research and Applications, 2016

'A techno-economic analysis of small-scale, biomass-fuelled combined heat and power for community housing', Biomass and Bioenergy, 2011

"Probabilistic analysis of solar photovoltaic self-consumption using Bayesian network models", IET Renewable Power Generation Journal, 2016

"The value of electric vehicles in the context of evolving electricity markets", European Energy Market (EEM) Conf, 2015

"Multi-domain analysis of photovoltaic impacts via integrated spatial and probabilistic modelling", IET Renewable Power Generation Journal, 2015

Dr Paul Rowley is a qualified teacher, and has many years experience of teaching at all levels. He is a Fellow of the Higher Education Academy, and has in the past led a number of innovative teaching and learning projects, including CRESTDL, the world's leading distance learning programme in advanced renewable energy training, and on-line and face-t0-face tailored indistry training programmes.

His current teaching activies include:

Undergraduate

  • ELB012 (Renewable Energy Systems Analysis)
  • ELCD325 (BEng & MEng Major Project)
  • ELP044/644 (Energy System Investment and Risk)

Postgraduate

  • ELP031/631 (Sustainability and Energy Systems)
  • ELP045/645 (MSc Major Project)
  • ELP044/644 (Energy System Investment and Risk)

Projects

Paul typically supervises 6-8 MEng/Beng and MSc projects each year.

View all Paul Rowley’s publications in the central publications database

Advanced collaborative environments, Applications of Systems Engineering, Applications of advanced control techniques, Energy Conservation and Sustainability, Energy use in the Built Environment , Human Factors, In Silico Biology, Integration of renewable energy into electricity networks, Methods of surface and thin film analysis, Model Driven Architecture for Systems Engineering, Modelling Complex Adaptive Systems, Modelling and Simulation (including virtual/synthetic environments), Multiscale Modelling, Renewable Energy Systems, Sensor networks, Sensors, Signal Processing , Solar Energy Engineering , Solar thermal systems, solar thermal power , Surface analysis techniques for thin film characterization, Synthetic environments , Systems Engineering, Systems Theory and Practice, Thin film photovoltaics, Wind power