Modelling and Forecasting Energy Demand in Rural Households of Bangladesh

Kumar Biswajit Debnath, Monjur Mourshed, Samuel Pak Kheong Chew

Research output: Contribution to journalConference article

18 Citations (Scopus)
3 Downloads (Pure)

Abstract

Bangladesh, the eighth largest populous country in the world, has a significant rural population (70%), which is contributing to the energy demand of the country. The major portion in energy demand of rural households is biomass energy. With the improvement in GDP the rural energy demand would switch to more electricity intensive demand pathway. This paper focuses on a bottom up approach towards modelling the aggregated energy demand of rural households of Bangladesh form the year 2010 to 2050. The combination of four level scenarios of four variables (population, GDP electrification index, public energy conservation index) would forecast lowest, highest and optimum energy demand pathways for rural households of Bangladesh. The study not only considers the electricity demand of the rural household, but also it would render the opportunity to concentrate at the detail user end energy demands (e.g. liquid fuel, biomass etc.).

Original languageEnglish
Pages (from-to)2731-2737
Number of pages7
JournalEnergy Procedia
Volume75
DOIs
Publication statusPublished - Aug 2015
Event7th International Conference on Applied Energy 2015 - Abu Dhabi, United Arab Emirates
Duration: 28 Mar 201531 Mar 2015

Keywords

  • Bangladesh
  • Energy demand
  • forecasting
  • rural households

ASJC Scopus subject areas

  • Energy(all)

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