Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
A multiple objective optimization model for investment decision making in building energy efficiency projects
Dissertation (MEng (Electrical Engineering))--University of Pretoria, 2013.
Saved in:
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
University of Pretoria
2014
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613606245302272 |
|---|---|
| access_status_str | Open Access |
| author2 | Zhang, J |
| author_browse | Zhang, J |
| author_facet | Zhang, J |
| collection | Thesis |
| dc_rights_str_mv | © 2013 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 (Electrical Engineering))--University of Pretoria, 2013. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/33364 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:38:49.043Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| 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:2263/33364 A multiple objective optimization model for investment decision making in building energy efficiency projects Zhang, J mahlatsi87@gmail.com Xia, Xiaohua Malatji, Esrom Mahlatsi UCTD Energy efficient building Investment Genetic algorithms Optimal actions Multi-objective optimization Dissertation (MEng (Electrical Engineering))--University of Pretoria, 2013. The aim of this research is to formulate a multiple objective optimization model to help decision makers to make optimal decisions when investing in energy efficient building retrofitting. A building in South Africa with 25 energy inefficient facilities that can be retrofitted is considered as a case study. The objectives are to maximize the energy savings and minimize the payback period for a given fixed initial investment. The model guides the decision maker to select the most optimal retrofitting actions in order to achieve maximum energy savings and minimum payback periods. The model is formulated as a multi-objective optimization problem with the net present value (NPV), initial investment, energy target and payback period as constraints. The approach used in solving this optimization problem is the weighted sum approach where the two objectives are combined into a single objective. Because of the complexity of multi-objective optimization problems, the model is solved using genetic algorithms (GAs). GAs are computational models that work on the same principle as evolution. The model gives the optimal actions that must be taken in order to make an optimal decision. Six different cases with different initial investment are simulated and the results are compared. The sensitivity analysis is also performed by analyzing the influence of the changes in energy savings, cost savings, initial cost, interest rate and the quantity of the facilities. The results show that with certain initial investment it is not possible to satisfy all the constraints, and increasing the initial investment increases the energy savings but it does not necessarily decrease the payback period. The sensitivity analysis proves that the model is robust and is not negatively influenced by external parameters. gm2014 Electrical, Electronic and Computer Engineering MEng (Electrical Engineering) Unrestricted 2014-02-11T05:14:01Z 2014-02-11T05:14:01Z 2013-09-04 2013 Dissertation Malatji, EM 2013, A Multiple objective optimization model for investment decision making in building energy efficiency projects, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/33364> E13/9/1024/gm http://hdl.handle.net/2263/33364 en © 2013 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 Energy efficient building Investment Genetic algorithms Optimal actions Multi-objective optimization A multiple objective optimization model for investment decision making in building energy efficiency projects |
| title | A multiple objective optimization model for investment decision making in building energy efficiency projects |
| title_full | A multiple objective optimization model for investment decision making in building energy efficiency projects |
| title_fullStr | A multiple objective optimization model for investment decision making in building energy efficiency projects |
| title_full_unstemmed | A multiple objective optimization model for investment decision making in building energy efficiency projects |
| title_short | A multiple objective optimization model for investment decision making in building energy efficiency projects |
| title_sort | multiple objective optimization model for investment decision making in building energy efficiency projects |
| topic | UCTD Energy efficient building Investment Genetic algorithms Optimal actions Multi-objective optimization |
| url | http://hdl.handle.net/2263/33364 |