Implication of national policy on electricity distribution system planning in Kenya

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dc.contributor.advisorGaunt, C Trevoren_ZA
dc.contributor.authorSaulo, Michael Jumaen_ZA
dc.date.accessioned2015-01-03T04:57:23Z
dc.date.available2015-01-03T04:57:23Z
dc.date.issued2010en_ZA
dc.descriptionIncludes bibliographical references (leaves 131-136).en_ZA
dc.description.abstractThis research project proposes a multi-criteria decision making (MCDM) method of electricity distribution system planning based on the Simple Multi-Attribute Rating Technique (SMART) embedded in a 'bottom-up' planning process to investigate the implication of National Policy (Kenya Vision 2030) on distribution system planning in Kenya. This approach differs from the traditional optimization approaches used in Kenya which typically assesses alternative planning solutions by finding solutions with minimum total cost. Instead a separate capital cost is calculated for each solution, this ensures that the technical benefit of each solution is not obscured by the associated solution capital cost. The approach also allows for effective planning by starting the planning process from the distribution system upward.en_ZA
dc.identifier.apacitationSaulo, M. J. (2010). <i>Implication of national policy on electricity distribution system planning in Kenya</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/11064en_ZA
dc.identifier.chicagocitationSaulo, Michael Juma. <i>"Implication of national policy on electricity distribution system planning in Kenya."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2010. http://hdl.handle.net/11427/11064en_ZA
dc.identifier.citationSaulo, M. 2010. Implication of national policy on electricity distribution system planning in Kenya. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Saulo, Michael Juma AB - This research project proposes a multi-criteria decision making (MCDM) method of electricity distribution system planning based on the Simple Multi-Attribute Rating Technique (SMART) embedded in a 'bottom-up' planning process to investigate the implication of National Policy (Kenya Vision 2030) on distribution system planning in Kenya. This approach differs from the traditional optimization approaches used in Kenya which typically assesses alternative planning solutions by finding solutions with minimum total cost. Instead a separate capital cost is calculated for each solution, this ensures that the technical benefit of each solution is not obscured by the associated solution capital cost. The approach also allows for effective planning by starting the planning process from the distribution system upward. DA - 2010 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2010 T1 - Implication of national policy on electricity distribution system planning in Kenya TI - Implication of national policy on electricity distribution system planning in Kenya UR - http://hdl.handle.net/11427/11064 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11064
dc.identifier.vancouvercitationSaulo MJ. Implication of national policy on electricity distribution system planning in Kenya. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2010 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11064en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleImplication of national policy on electricity distribution system planning in Kenyaen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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