UK - Department for Business, Energy and Industrial Strategy
Community-scale Energy Demand Reduction in India (CEDRI)
Project Data Last Updated: 27/08/2020
IATI Identifier: GB-GOV-13-FUND--Newton-EP_R008655_1
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.Objectives
The specific objectives that CEDRI will seek to achieve are: 1. Define grid characteristics of local networks at regional level in chosen Indian case-studies: Based on empirical evidence, highlight how values of demand, frequency and voltage vary with specific supply- and demand-side events. Provide optimum values which should be maintained for a functional, robust local network 2. Collate individual and local network (transformer) electricity demand data for chosen regions in India: Real demand data at ~10min resolution will be provided to the project by the named partners (see letters of support). This data will provide a valuable resource in itself, as well as being vital for the demand aggregation exercises described in the project 3. Aggregate demand profiles of regions with future scenario-morphing: Prototype techniques will be developed and applied to allow for upscaling of electricity demand of residential areas. Maintaining a link with individual dwellings will allow for specific measures to be applied for demand reduction, with the aggregation procedure allowing for these changes to be visible on a community-level energy demand profile. 4. Provide tailored demand-side options for Indian households based on survey responses of acceptance: Through detailed user-behavior and attitudinal studies, the likely acceptance of selected future demand-reducing measures will be surmised. This will feed into the building modelling work by allowing for a focus on measures that are more likely to have an impact on community energy demand profiles, and therefore be noticeable in terms of local network performance. 5. Detailed guidance for required response to future demand pathways for Indian communities: The work will be distilled into a series of recommendations for how to plan and carry out demand-reduction strategies in residential communities in India, ensuring both significant energy savings but also robust and sustainable performance of the local electricity network.
|Extending:||UK Research & Innovation|
|Funding:||UK - Department for Business, Energy and Industrial Strategy|
Sectors groups as a percentage of country budgets according to the Development Assistance Committee's classifications.
A comparison across six financial years of forecast spend and the total amount of money spent on the project to date.