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Projects: Projects for Investigator
Reference Number EP/R008655/1
Title Community-scale Energy Demand Reduction in India (CEDRI)
Status Completed
Energy Categories Other Cross-Cutting Technologies or Research(Energy system analysis) 10%;
Energy Efficiency(Residential and commercial) 70%;
Other Power and Storage Technologies(Electricity transmission and distribution) 20%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields AREA STUDIES (Asian Studies) 10%;
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 90%;
UKERC Cross Cutting Characterisation Systems Analysis related to energy R&D (Energy modelling) 25%;
Systems Analysis related to energy R&D (Other Systems Analysis) 50%;
Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 15%;
Sociological economical and environmental impact of energy (Other sociological economical and environmental impact of energy) 10%;
Principal Investigator Dr D P Jenkins
No email address given
Sch of Energy, Geosci, Infrast & Society
Heriot-Watt University
Award Type Standard
Funding Source EPSRC
Start Date 01 November 2017
End Date 31 March 2022
Duration 53 months
Total Grant Value £593,352
Industrial Sectors Energy
Region Scotland
Programme Newton Programme
Investigators Principal Investigator Dr D P Jenkins , Sch of Energy, Geosci, Infrast & Society, Heriot-Watt University (99.995%)
  Other Investigator Dr EH Owens , Sch of the Built Environment, Heriot-Watt University (0.001%)
Dr V Robu , School of Engineering and Physical Sciences, Heriot-Watt University (0.001%)
Dr D Flynn , School of Engineering and Physical Sciences, Heriot-Watt University (0.001%)
Dr S R Payne , Sch of Energy, Geosci, Infrast & Society, Heriot-Watt University (0.001%)
Dr S Patidar , Sch of Energy, Geosci, Infrast & Society, Heriot-Watt University (0.001%)
  Industrial Collaborator Project Contact , Newcastle University (0.000%)
Project Contact , Indian Institute of Technology (IIT) (0.000%)
Project Contact , Auroville Foundation, India (0.000%)
Project Contact , Enzen Global Solutions Private Limited, India (0.000%)
Project Contact , National Institute of Technology, Tiruchirappalli (NIT), India (0.000%)
Project Contact , Panacean Energy Solution Pvt. Ltd., India (0.000%)
Web Site
Abstract CEDRI is a consortium of expertise in sustainable buildings, power electronics, demand modelling and energy behaviours across Heriot-Watt University, Indian Institute of Technology (IIT) Delhi, IIT Bombay and the Tiruchirappalli National Institute of Technology. The project will, through the application of demand synthesis models to Indian case-studies, propose clear guidance for demand reduction/management in households to ensure future-resilient provision of electricity to Indian communities. The project sees a neglect of supply limitations as being a key risk that might hamper future demand reduction strategies.Whilst many countries are seeing significant change in the use of energy in homes and the provision of that energy through local energy networks, the pace of change recorded in India is particularly notable. The "refresh" rate of the housing stock is high (with new build constituting a much higher percentage of the housing stock than many developed countries) and, simultaneously, the approach to delivering electricity to those homes is changing (e.g. the growth in distributed renewable generation, such as solar photovoltaics). If further change is to be planned amongst this already uncertain landscape, in the form of community-wide energy demand reduction strategies, then a full impact of such measures must be understood. Minimising cooling requirements, controlling/managing appliance loads and encouraging distributed generation should all be promoted in a way that i) is consistent and complementary to a functioning local electricity network and ii) relate to measures that are likely to be accepted across communities, rather than having only niche appeal. The CEDRI project will allow for community electricity demand modelling through applied aggregation algorithms, converting small samples of individual building demand profiles into community-level profiles. After carrying out surveys and workshops with householders, the project will identify the demand-reducing measures likely to succeed in such regions (informed by real case-study communities and empirical data) and apply these to the community demand models to quantify potential impact. The ability of such changes to improve the local energy network will be fully investigated, such that measures deemed to successfully reduce total energy demand can be managed in a way that improves key characteristics of that network (such as frequency, voltage and peak demand). The project will therefore provide guidance that will ensure that approaches to demand reduction "co-evolve" with the methods used to supply electricity to residential communities, over future timescales that already have considerable levels of uncertainty
Publications (none)
Final Report (none)
Added to Database 04/01/18