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Projects: Projects for Investigator
Reference Number EP/C523814/1
Title Intelligent active energy management for small scale energy zones
Status Completed
Energy Categories Other Power and Storage Technologies(Electricity transmission and distribution) 100%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor PC (Phil ) Taylor
No email address given
Engineering
Durham University
Award Type Standard
Funding Source EPSRC
Start Date 10 October 2005
End Date 09 October 2007
Duration 24 months
Total Grant Value £120,561
Industrial Sectors Energy
Region North East
Programme Process Environment and Sustainability
 
Investigators Principal Investigator Professor PC (Phil ) Taylor , Engineering, Durham University (100.000%)
  Industrial Collaborator Project Contact , Econnect (0.000%)
Project Contact , IMASS Ltd (0.000%)
Project Contact , Micropower Ltd (0.000%)
Project Contact , PB Power (0.000%)
Project Contact , United Utilities PLC (0.000%)
Project Contact , Northern Powergrid (0.000%)
Web Site
Objectives
Abstract Electricity use worldwide is growing rapidly and predominantly relies on the use of limited supplies of fossil fuels. The consensus is that burning these fossil fuels is causing global warming.In the pursuit of a more sustainable electricity generation and supply industry, the government of the United Kingdom is looking to reduce its reliance on fossil fuels for electricity generation. Alternative and renewable energy sources are being sought and exploited such as wind power, hydro power, solarpower and further into the future, wave and tidal power. A renewable energy source can be described as one which is naturally occurring and will never run out, such as wind power or solar power.The UK government has set targets for the electricity industry. The target is to supply 10% of electricity needs from renewable sources by 2010 and 20% by 2020.A number of technical problems are encountered when trying to reach these targets, due to: The intermittent nature of renewableenergysourcesThe fact that the location of the generators is determined by the location of the natural resource, such as on the top of a windy hill, rather than where the electricity demand is, such as major cities.Other major challenges arise because:The electricity network, the wires used to transport the power, was not designed to accept many small generators injecting power in many directions. The network was designed to be a passive system and to accept a small number of large generators connected to high voltages passing power in one direction only, out to consumers.The transition to a more sustainable and environmentally friendly electricity system is possible but it must be achieved in such a way that the security of supply is not reduced, no increase in blackouts, and such that the costs of electricity to customers is not increased significantly. It is widely accepted that in order to achieve these aims and overcome the problems described electrical networks must become activeand must be managed intelligently. Three key parameters which can be controlled in this way are generation, load and energy storage. This research proposal puts forward a project to develop intelligent, integrated control techniques that can be applied to generation, load and energy storage on low voltage electrical networks to assist the growth of renewable energy
Publications (none)
Final Report (none)
Added to Database 01/01/07