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Energy Efficiency: Load management potential savings in the telecommunications network in Africa

Explore potential OPEX savings through load management in African telecom networks. Learn how controlling energy demand can reduce costs and environmental impact. Contact Mohammed Adamu for more information.

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Energy Efficiency: Load management potential savings in the telecommunications network in Africa

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  1. Energy Efficiency: Load management potential savings in the telecommunications networkin Africa Author and Presenter; Mohammed Adamu Regional Power Expert Africa Mohammed.Adamu@tigo.com.gh +233277600206

  2. Introduction • Apart from CAPEX, generally OPEX cost driver on the telecom • network are five items; • Three of them are direct Energy cost and one is indirect. • The direct Energy cost elements is typically 50% - 60% • of total Network OPEX. The figure could be up to 79% in some • operations. • Above 20% OPEX savings can be achieved with load • management. • This act, in addition to savings, enable deficits in global energy, • Emission of CO2 and other green house gases.Note: this presentation focus mainly on BTS sites. This is • because of the number of BTS site in a network. However similar • structured frame may be applied to the core sites. MM/DD/YY Network Quality

  3. A Typical BTS Site with Shelter (Plan) Project Name

  4. Overview Five Network OPEXDriver Quantitative Highlights of archive data Monthly YTD-AVERAGE OPEX-Energy= 61%AVERAGE OPEX-SITEFUEL = 29% Project Name

  5. A sample Model of Energy Efficiency Exercise There are enormous savings potentials in OPEX and CAPEX of the energy system of the present telecommunications networks in Africa Project Name

  6. Economics of Network Energy

  7. Highlights of Focus • Control and reduction of Energy demand in the operation • Reduce resultant average cost of unit Energy on the network • Cost appropriation and cost transfer in equipment selectionand system layout architecture

  8. Sample data on network Energy

  9. Sample data on network Energy

  10. Sample data on network Energy

  11. THANK YOU

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