Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Use of a GIS tool for the assessment of wind potential and location of wind farms : adjustments to demand profiles
Dissertation (MEng)--University of Pretoria, 2015.
Saved in:
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
University of Pretoria
2015
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613630713823232 |
|---|---|
| access_status_str | Open Access |
| author2 | Fourie, Willem |
| author_browse | Fourie, Willem |
| author_facet | Fourie, Willem |
| collection | Thesis |
| dc_rights_str_mv | © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng)--University of Pretoria, 2015. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/46245 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:12.360Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/46245 Use of a GIS tool for the assessment of wind potential and location of wind farms : adjustments to demand profiles Fourie, Willem Sanchez Piña, Angie Lorena UCTD GIS Wind farm location Wind energy potential Electricity demand Engineering, built environment and information technology theses SDG-07 Engineering, built environment and information technology theses SDG-09 Engineering, built environment and information technology theses SDG-11 Engineering, built environment and information technology theses SDG-13 Dissertation (MEng)--University of Pretoria, 2015. The threatening impacts of climate change are driving a global revolution towards cleaner sources of energy. In South Africa, strategies for energy security and emissions reduction are focusing on renewables, wind energy being one of the most promising ones. The construction of wind energy projects has attached limitations in the identification of suitable areas that respect the environment and are technically feasible. Herein, site selection criteria has been grouped into the Site Identification group (SIG), and the Resource & Energy Generation group (R&E). The SIG incorporates technical, environmental and restricted criteria within a spatial frame; while R&E accounts for the wind resource, estimated energy generation and fitting to energy demand profiles under a spatial-temporal frame. The average wind resource is usually found to be analysed together within the technical factors to determine the feasibility of a site; however for this study, a different and independent treatment of the wind resource and its energy generation profile was undertaken. It consists of evaluating the unique hourly wind power profile of each site against the energy consumption profile for the same period. The need is for selecting places with the smallest variation between the electricity produced and the electricity demanded. The Production to Demand Difference (PDD) has been chosen as the indicator of such variations. Therefore, the new purpose is to identify spots where the combination of the PDD and the results from the SIG become smaller with time. The Mean Difference (MD) is also taken into account to obtain further information regarding the trends of the differences. Geoprocessing, overlays and mathematical combinations of datasets are all performed under a GIS environment. tm2015 mi2026 Chemical Engineering MEng Unrestricted SDG-07: Affordable and clean energy SDG-09: Industry, innovation and infrastructure SDG-11: Sustainable cities and communities SDG-13: Climate action 2015-07-02T11:08:26Z 2015-07-02T11:08:26Z 2015/04/14 2015 Dissertation Sanchez Piña, AL 2015, Use of a GIS tool for the assessment of wind potential and location of wind farms : adjustments to demand profiles, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/46245> A2015 http://hdl.handle.net/2263/46245 en © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD GIS Wind farm location Wind energy potential Electricity demand Engineering, built environment and information technology theses SDG-07 Engineering, built environment and information technology theses SDG-09 Engineering, built environment and information technology theses SDG-11 Engineering, built environment and information technology theses SDG-13 Use of a GIS tool for the assessment of wind potential and location of wind farms : adjustments to demand profiles |
| title | Use of a GIS tool for the assessment of wind potential and location of wind farms : adjustments to demand profiles |
| title_full | Use of a GIS tool for the assessment of wind potential and location of wind farms : adjustments to demand profiles |
| title_fullStr | Use of a GIS tool for the assessment of wind potential and location of wind farms : adjustments to demand profiles |
| title_full_unstemmed | Use of a GIS tool for the assessment of wind potential and location of wind farms : adjustments to demand profiles |
| title_short | Use of a GIS tool for the assessment of wind potential and location of wind farms : adjustments to demand profiles |
| title_sort | use of a gis tool for the assessment of wind potential and location of wind farms adjustments to demand profiles |
| topic | UCTD GIS Wind farm location Wind energy potential Electricity demand Engineering, built environment and information technology theses SDG-07 Engineering, built environment and information technology theses SDG-09 Engineering, built environment and information technology theses SDG-11 Engineering, built environment and information technology theses SDG-13 |
| url | http://hdl.handle.net/2263/46245 |