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Optimization in computerized energy modelling for Tanzania

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  • Luhanga, M.L.
  • Mwandosya, M.J.
  • Luteganya, P.R.

Abstract

An overview of energy planning research is presented on implementation of the LEAP model for Tanzania through the use of optimization models in combination with a forecasting program. Two models were developed in the research. The first determines the optimum mix of energy resources at minimum cost. The second seeks the optimum number of end-use biomass devices and hectares of land to be afforested to minimize the woodfuel deficit. The second model was tested using data for Dar es Salaam only. The output of a forecasting program was fed into optimization models the outputs of which were entered into LEAP. The LEAP model is run using optimal and non-optimal inputs for comparison. The results prove the hypothesis that energy planning with the LEAP model is more effective if the model is complemented by optimization models.

Suggested Citation

  • Luhanga, M.L. & Mwandosya, M.J. & Luteganya, P.R., 1993. "Optimization in computerized energy modelling for Tanzania," Energy, Elsevier, vol. 18(11), pages 1171-1179.
    • Handle: RePEc:eee:energy:v:18:y:1993:i:11:p:1171-1179
    DOI: 10.1016/0360-5442(93)90089-V
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    Cited by:

    1. Imran, Muhammad & Amir, Namra, 2015. "A short-run solution to the power crisis of Pakistan," Energy Policy, Elsevier, vol. 87(C), pages 382-391.
    2. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    3. Trotter, Philipp A. & McManus, Marcelle C. & Maconachie, Roy, 2017. "Electricity planning and implementation in sub-Saharan Africa: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1189-1209.
    4. 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.

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