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Tailoring demand-reduction strategies for communities in India–a framework

Lookup NU author(s): Professor David Jenkins, Dr Kumar Biswajit DebnathORCiD



This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IBPSA-England, 2022.

For re-use rights please refer to the publisher's terms and conditions.


This paper summarises the CEDRI method for quantifying baseline and future energy demand of a community – using a case-study community in TamilNadu. The overall method includes modules relating to: i) dynamic building simulation for projecting future scenarios, ii) Hidden Markov Models for characterising and synthesising high-resolution demand profiles, iii) Distributed Network modelling for performance issues in the local energy system, iv) results of co-production and householder engagement to help understand existing energy use, and identify likely future trends. Although the method is designed to be technology agnostic, future scenarios are proposed to demonstrate the working of the model, and the kind of outputs and metrics that are achievable – and, crucially, why these might be useful to different actors and sectors involved with reducing energy demand in buildings.The work demonstrates that for such diverse communities as can be found in India, replicability of method is more important than replicability of results. Rather than extrapolating the results of single case-study communities for much larger regions, CEDRI establishes a robust method that is agile enough to cope with different data limitations, building stocks, and behavioural approaches to comfort. The project also demonstrates the ability of dynamic building simulation to be used in conjunction with empirical energy data, network models, and qualitative information relating to cooling behaviour in specific populations.

Publication metadata

Author(s): Jenkins D, Debnath KB, Osunmuyiwa O, Couraud B, Patidar S, Peacock A, Payne S, Flynn D

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Building Simulation and Optimisation 2022

Year of Conference: 2022

Online publication date: 13/12/2023

Acceptance date: 13/12/2022

Date deposited: 05/01/2023

Publisher: IBPSA-England


ePrints DOI: 10.57711/g05n-b953

Notes: International Building Performance Simulation Association IBPSA