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Includes bibliographical references (leaves 131-136).
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2015
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| _version_ | 1867613191141326849 |
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| access_status_str | Open Access |
| author | Saulo, Michael Juma |
| author2 | Gaunt, C Trevor |
| author_browse | Gaunt, C Trevor Saulo, Michael Juma |
| author_facet | Gaunt, C Trevor Saulo, Michael Juma |
| author_sort | Saulo, Michael Juma |
| collection | Thesis |
| description | Includes bibliographical references (leaves 131-136). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/11064 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:13.078Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/11064 Implication of national policy on electricity distribution system planning in Kenya Saulo, Michael Juma Gaunt, C Trevor Electrical Engineering Includes bibliographical references (leaves 131-136). 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. 2015-01-03T04:57:23Z 2015-01-03T04:57:23Z 2010 Master Thesis Masters MSc http://hdl.handle.net/11427/11064 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Saulo, Michael Juma Implication of national policy on electricity distribution system planning in Kenya |
| thesis_degree_str | Master's |
| title | Implication of national policy on electricity distribution system planning in Kenya |
| title_full | Implication of national policy on electricity distribution system planning in Kenya |
| title_fullStr | Implication of national policy on electricity distribution system planning in Kenya |
| title_full_unstemmed | Implication of national policy on electricity distribution system planning in Kenya |
| title_short | Implication of national policy on electricity distribution system planning in Kenya |
| title_sort | implication of national policy on electricity distribution system planning in kenya |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/11064 |
| work_keys_str_mv | AT saulomichaeljuma implicationofnationalpolicyonelectricitydistributionsystemplanninginkenya |