Research Projects

HyVE: Hydrogen's Value in the Energy chain

An EPSRC challenge collaborative project

Jun 2014 - May 2017

Dr Phil Coker (UoR PI)

Associated with the EPSRC Supergen Hydrogen and Fuel Cells (H2FC) Hub, this project will determine the value of hydrogen under different plausible future energy system scenarios that examine resource and technology cost variations as well as the impact of decarbonisation targets and energy security policies. It will develop a number of tools with many novel features for this analysis. These tools and the project outputs will be able to inform industry investment and government policy decisions as well as having substantial scientific impact.

Project website: (coming soon)

REELCOOP: Research Cooperation in Renewable Energy Technologies for Electricity Generation

A European Commission multi partner project

Sep 2013- Aug 2017

Professor Runming Yao (UoR PI), Professor Li Shao and Dr Emmanuel Essah

The University of Reading is responsible for co-ordinating work-packages relating to the development, design & construction of Prototype One (high efficiency and low cost BIPV). This will involve:

  • Designing a 6 kW PV system integrated in a ventilated façade;
  • Analysing heat transfer and airflow performance by computer simulations;
  • Experimentally assessing the performance of the Prototype One under different climatic conditions;
  • Assembling the prototype façade component for future installation and field-testing

Project website:

DEMAND: Dynamics of Energy, Mobility and Demand

An EPSRC / ERC collaborative project

May 2013 - Apr 2018

Dr Jacopo Torriti, Dr Richard Hanna, Mitchell Curtis, Prof John Connaughton

Analyses of historical trends and future projections of consumer energy demand are typically broad-brush, based on current levels of consumption modified by forecast population and GDP changes. The detail of when, how and by whom energy is used is hidden from analytic view, but is crucial for estimating future demand and assessing likely responses to smart grid/decentralised systems: for example, which end uses are likely to change, how do practices vary, how does this affect peak load? There is a clear need for substantially more sophisticated analyses of spatial, temporal and social variations in end use practices in order to produce more refined scenarios of future demand, and to inform current policy initiatives and critically examine their effects.

Research activities in this theme are creatively integrating and analysing existing data to meet this need and inform other projects in the DEMAND Centre's programme.

Project website:

Clustering effects of major offshore wind developments

A Network Innovation project with National Grid

Jan 2013 - Mar 2016

Prof Janet Barlow (PI), Dr Daniel Drew, Dr David Brayshaw, Dr Omduth Coceal, Dr Phil Coker, Dr Ben Potter

The expansion in offshore wind generation coming with the round 3 projects is bringing particular uncertainty for strategic and operational planning of the power system. Wind farms of the scale now planned influence the lower atmosphere sufficiently to impact the performance of adjacent farms, therefore the power generation characteristics of a cluster of wind farms (such as that planned for Dogger Bank) are largely unknown. This project aims to determine the power characteristics of a cluster of large offshore wind farms for a range of meteorological conditions, taking into account the wake effects of the individual turbines and the shadow effect of neighbouring farms.

Our pages:

UK Regional Wind: Extreme Behaviour and Predictability

A Network Innovation project with National Grid

Aug 2012 - Jul 2015

Dr David Brayshaw(PI), Dr Dirk Cannon, Dr Phil Coker, Prof. John Methven

This project aims to enhance our understanding of the climatological behaviour of extreme wind power generation events, as well as their predictability at the medium range (1-10 days). Working with the GB Electricity System Operator, this research is helping to inform new strategies for system reserve and security in an age where wind power accounts for a significant and growing proportion of our electricity production.

Our pages:

The New Thames Valley Vision

LCNF (Low Carbon Network Fund) project led by Scottish and Southern Energy Power Distribution (SSEPD)

Dr Ben Potter, Dr Danica Greetham, Prof William Holderbaum, Timur Yunusov, Dr Warren Hicks, Dr Anush Poghosyan

As part of the project the University of Reading is modelling household and low-voltage (LV) substation level data in order to better understand current and future network demand behaviour as well as look at how smart control can be combined with network storage to reduce peak demand and balance the networks. In particular this project focuses on the LV Network in Bracknell and the surrounding Thames Valley area. Bracknell and the Thames Valley is home to many large companies and the local network is typical of much of Britain's network, and therefore the lessons we learn can quickly be applied nationwide.

Project website:


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