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Integrated Electricity Tarrif Model for Kenya

Received: 20 November 2014     Accepted: 24 November 2014     Published: 27 December 2014
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Abstract

Tariffs and tariff structures has been changing over a period of time all over the world. This has acted as a key factor which limits development in third world country. This project therefore seeks to detemine the best tarrif model that can be used in kenya to improve on the electricy consumption, the research explores all the factors which affect the costing of electrical energy. The tariff model is developed considering fuel prices, the economic factors such as inflation and the puchasing power of the consmers ,and the other factors asssociated with sytem costs ie capital cost and running costs above all these it seeks to elliminate the electricty energy poverty by encouraging many consumers to connect to the grid. In additon, some recent developments and significant trends in distribution and pricing of the electrical enegy such as pre-paid metering . It is expected that this will help Kenya to develop better tariff structures and more reasonable charging rates. The research uses the data provided by the KPLC to analyse the consumer puchasing trends and and uses the current tarrif sytem as a reference to see how best the power company can supply the energy to the country at a cost which is balanced and which encourages industrial development. The resaerch develops a tarrif model which is gradual in nature and one which excludes the fixed changes but the consumers are charged on a gradual basis where the price will increase with the increase of the Kwh consumed.

Published in International Journal of Energy and Power Engineering (Volume 4, Issue 2-1)

This article belongs to the Special Issue Electrical Power Systems Operation and Planning

DOI 10.11648/j.ijepe.s.2015040201.19
Page(s) 95-98
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Kenya Power Integrated Tariff Structure, Using Visual Basic Programming and Excel

References
[1] Mikael Togeby & Mark Watts- (2013). South Africa “Survey of Residential Customers of Electricity
[2] Gibson Tartin ( 2012 ), Possible Future Retail Electricity Price Movements
[3] Business Daily November (20, 2013)Electricity - Tariffs for the third quarter
[4] Bustos, M. (2004), The new payment mechanism for power consumption
[5] Breit, C. (1985), Lern- und Erfahrungseffekte in deer Produktionstheorie
[6] Dong, N. Q., N. V. Thu, and H. D. Tuan (2006), Textbook on Economic of electrical power.
[7] Peter Mark (Prime Minister) (2009), Decision on approving electricity tariff in 2009 and adjustment of electricity tariff towards market requirements.
[8] Eng. Kaburu Mwirichia (2013), ERC New Power Tariffs
[9] (Krewitt et al. 2006
[10] (Council of Ministers November 2009)
[11] International Energy Agency (2004): Renewable Energy - Market & Policy Trends
[12] Energinet.dk (2006): Electricity -Electricity Tariffs for the third world countries.
[13] P H Gupta (2008): Electrical Energy Generation and Consumption.
Cite This Article
  • APA Style

    Muli Mumo, Michael Saulo, Samuel Kibaara. (2014). Integrated Electricity Tarrif Model for Kenya. International Journal of Energy and Power Engineering, 4(2-1), 95-98. https://doi.org/10.11648/j.ijepe.s.2015040201.19

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    ACS Style

    Muli Mumo; Michael Saulo; Samuel Kibaara. Integrated Electricity Tarrif Model for Kenya. Int. J. Energy Power Eng. 2014, 4(2-1), 95-98. doi: 10.11648/j.ijepe.s.2015040201.19

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    AMA Style

    Muli Mumo, Michael Saulo, Samuel Kibaara. Integrated Electricity Tarrif Model for Kenya. Int J Energy Power Eng. 2014;4(2-1):95-98. doi: 10.11648/j.ijepe.s.2015040201.19

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  • @article{10.11648/j.ijepe.s.2015040201.19,
      author = {Muli Mumo and Michael Saulo and Samuel Kibaara},
      title = {Integrated Electricity Tarrif Model for Kenya},
      journal = {International Journal of Energy and Power Engineering},
      volume = {4},
      number = {2-1},
      pages = {95-98},
      doi = {10.11648/j.ijepe.s.2015040201.19},
      url = {https://doi.org/10.11648/j.ijepe.s.2015040201.19},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2015040201.19},
      abstract = {Tariffs and tariff structures has been changing over a period of time all over the world. This has acted as a key factor which limits development in third world country. This project therefore seeks to detemine the best tarrif model that can be used in kenya to improve on the electricy consumption, the research explores all the factors which affect the costing of electrical energy. The tariff model is developed considering fuel prices, the economic factors such as inflation and the puchasing power of the consmers ,and the other factors asssociated with sytem costs ie capital cost and running costs above all these it seeks to elliminate the electricty energy poverty by encouraging many consumers to connect to the grid. In additon, some recent developments and significant trends in distribution and pricing of the electrical enegy such as pre-paid metering . It is expected that this will help Kenya to develop better tariff structures and more reasonable charging rates. The research uses the data provided by the KPLC to analyse the consumer puchasing trends and and uses the current tarrif sytem as a reference to see how best the power company can supply the energy to the country at a cost which is balanced and which encourages industrial development. The resaerch develops a tarrif model which is gradual in nature and one which excludes the fixed changes but the consumers are charged on a gradual basis where the price will increase with the increase of the Kwh consumed.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Integrated Electricity Tarrif Model for Kenya
    AU  - Muli Mumo
    AU  - Michael Saulo
    AU  - Samuel Kibaara
    Y1  - 2014/12/27
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ijepe.s.2015040201.19
    DO  - 10.11648/j.ijepe.s.2015040201.19
    T2  - International Journal of Energy and Power Engineering
    JF  - International Journal of Energy and Power Engineering
    JO  - International Journal of Energy and Power Engineering
    SP  - 95
    EP  - 98
    PB  - Science Publishing Group
    SN  - 2326-960X
    UR  - https://doi.org/10.11648/j.ijepe.s.2015040201.19
    AB  - Tariffs and tariff structures has been changing over a period of time all over the world. This has acted as a key factor which limits development in third world country. This project therefore seeks to detemine the best tarrif model that can be used in kenya to improve on the electricy consumption, the research explores all the factors which affect the costing of electrical energy. The tariff model is developed considering fuel prices, the economic factors such as inflation and the puchasing power of the consmers ,and the other factors asssociated with sytem costs ie capital cost and running costs above all these it seeks to elliminate the electricty energy poverty by encouraging many consumers to connect to the grid. In additon, some recent developments and significant trends in distribution and pricing of the electrical enegy such as pre-paid metering . It is expected that this will help Kenya to develop better tariff structures and more reasonable charging rates. The research uses the data provided by the KPLC to analyse the consumer puchasing trends and and uses the current tarrif sytem as a reference to see how best the power company can supply the energy to the country at a cost which is balanced and which encourages industrial development. The resaerch develops a tarrif model which is gradual in nature and one which excludes the fixed changes but the consumers are charged on a gradual basis where the price will increase with the increase of the Kwh consumed.
    VL  - 4
    IS  - 2-1
    ER  - 

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Author Information
  • Department of Electrical and Electronics Engineering, Technical University of Mombasa, Mombasa, Kenya

  • Department of Electrical and Electronics Engineering, Technical University of Mombasa, Mombasa, Kenya

  • Department of Electrical and Electronics Engineering, Technical University of Mombasa, Mombasa, Kenya

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