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Computer modelling of the rural energy system and of CO2 emissions for Bangladesh

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  • Bala, B.K.

Abstract

We present projections of rural energy supply and demand and assess the contributions to global warming. The output of a dynamic system model is used in the LEAP model and overall energy balances are then compiled using a bottom-up approach. Biomass fuels constitute the major energy sources for rural people. A major share of the fuel is consumed for cooking using traditional stoves which have an efficiency less than 10%. Most of the biomass comes from crop wastes. Conservative estimates show tremendous pressure on rural forests for fuelwood. As the result, there is overcutting of rural forests resulting in environmental degradation. Bangladesh is responsible for a small fraction of the total anthropogenic contribution of CO2 but could be seriously affected by climatic change. Energy planning for sustainable development with LEAP is made more effective by using a complementary dynamic system model.

Suggested Citation

  • Bala, B.K., 1997. "Computer modelling of the rural energy system and of CO2 emissions for Bangladesh," Energy, Elsevier, vol. 22(10), pages 999-1003.
    • Handle: RePEc:eee:energy:v:22:y:1997:i:10:p:999-1003
    DOI: 10.1016/S0360-5442(97)00025-X
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    Cited by:

    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. Prasad, Ravita D. & Bansal, R.C. & Raturi, Atul, 2014. "Multi-faceted energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 686-699.
    3. Kumar, Subhash, 2016. "Assessment of renewables for energy security and carbon mitigation in Southeast Asia: The case of Indonesia and Thailand," Applied Energy, Elsevier, vol. 163(C), pages 63-70.
    4. Kumar, Subhash & Madlener, Reinhard, 2015. "A Least-Cost Assessment of the CO2 Mitigation Potential Using Renewable Energies in the Indian Electricity Supply Sector," FCN Working Papers 14/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    5. Qunli Wu & Chenyang Peng, 2016. "Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030," Energies, MDPI, vol. 9(12), pages 1-18, November.
    6. Kumar, Subhash & Madlener, Reinhard, 2016. "CO2 emission reduction potential assessment using renewable energy in India," Energy, Elsevier, vol. 97(C), pages 273-282.
    7. Kumar, Amit & Bhattacharya, S.C & Pham, H.L, 2003. "Greenhouse gas mitigation potential of biomass energy technologies in Vietnam using the long range energy alternative planning system model," Energy, Elsevier, vol. 28(7), pages 627-654.
    8. Hiremath, R.B. & Shikha, S. & Ravindranath, N.H., 2007. "Decentralized energy planning; modeling and application--a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 729-752, June.
    9. Sapkota, Alka & Lu, Zhibo & Yang, Haizhen & Wang, Juan, 2014. "Role of renewable energy technologies in rural communities' adaptation to climate change in Nepal," Renewable Energy, Elsevier, vol. 68(C), pages 793-800.

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