A multiple objective optimisation model for building energy efficiency investment decision
| dc.contributor.author | Malatji, Esrom Mahlatsi | |
| dc.contributor.author | Zhang, Jiangfeng | |
| dc.contributor.author | Xia, Xiaohua | |
| dc.contributor.email | zhang@up.ac.za | en |
| dc.date.accessioned | 2013-04-17T14:02:04Z | |
| dc.date.available | 2013-04-17T14:02:04Z | |
| dc.date.issued | 2013-06 | |
| dc.description.abstract | A multiple objective optimisation model is formulated to help decision makers to make an optimal decision when investing in energy-efficient building retrofitting. The objectives are to maximise the energy savings and minimise the payback period for a given fixed initial investment. The model is formulated as a multi-objective optimisation problem with the net present value (NPV), initial investment, energy target and payback period as constraints and it is solved using genetic algorithms (GAs). The optimal decision is reached by choosing the most optimal actions during energy retrofit in buildings. The model is applied to a case study of a building with 25 facilities that can be retrofitted that illustrates the potential of high energy savings and short payback periods. The sensitivity analysis is also performed by analysing the influence of the auditing error of the facilities, wrongly specified energy savings, the initial investment, changes in interest rate and the changes of electricity prices on the payback period, the maximum energy saved and NPV of the investment. The outcome of this analysis proves that the model is robust. | en |
| dc.description.librarian | hb2013 | en |
| dc.description.librarian | ai2013 | en |
| dc.description.uri | http://www.elsevier.com/locate/enbuild | en |
| dc.identifier.citation | Malatji, EM, Zhang, J & Xia, X 2013, 'A multiple objective optimisation model for building energy efficiency investment decision', Energy and Buildings, vol. 61, no. 6, pp. 81-87. | en |
| dc.identifier.issn | 0378-7788 (print) | |
| dc.identifier.issn | 1872-6178(online) | |
| dc.identifier.other | 10.1016/j.enbuild.2013.01.042 | |
| dc.identifier.uri | http://hdl.handle.net/2263/21299 | |
| dc.language.iso | en | en |
| dc.publisher | Elsevier | en |
| dc.rights | © 2013 Elsevier. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Energy and Buildings. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy and Buildings, vol. 61, no. 6, 2013, DOI : 10.1016/j.enbuild.2013.01.042 | en |
| dc.subject | Multi-objective optimization | en |
| dc.subject | Energy efficient building | en |
| dc.subject.lcsh | Architecture and energy conservation | en |
| dc.subject.lcsh | Genetic algorithms | en |
| dc.title | A multiple objective optimisation model for building energy efficiency investment decision | en |
| dc.type | Postprint Article | en |