Dr Mohammed Seddiki m.seddiki1@rgu.ac.uk
Lecturer
Multi-criteria evaluation of renewable energy alternatives for electricity generation in a residential building.
Seddiki, Mohammed; Bennadji, Amar
Authors
Amar Bennadji
Abstract
The residential sector is well known to be one of the main energy consumers worldwide. The purpose of this study is to select the best renewable energy alternatives for electricity generation in a residential building by using a new integrated fuzzy multi-criteria group decision-making method. In renewable energy decision-making problems, the preferences of experts and decision-makers are generally uncertain. Furthermore, it is challenging to quantify the reel performance of renewable energy alternatives using a set of exact values. Fuzzy logic is commonly applied to deal with those uncertainties. The method proposed in this paper combines different methods. First, the Delphi method is used in order to select a preliminary set of renewable energy alternatives for electricity generation as well as a preliminary set of criteria (economic, environmental, social, etc.). Then, the questionnaire is used to study the renewable energy alternatives preferences of the residents of the residential building’. Later, the FAHP (Fuzzy Analytical Hierarchy Process) is implemented to obtain the weighs of the criteria taking into consideration uncertainties in expert's judgments. Finally, the FPROMETHEE (Fuzzy Preference Ranking Organization Method for Enrichment Evaluation) global ranking is performed in order to get a complete ranking of the renewable energy alternatives taking into account uncertainties related to the alternatives' evaluations. The originality of this paper comes from the application of the proposed integrated Delphi- FAHP- FPROMETHEE methodology for the selection of the best renewable energy alternatives for electricity generation in a residential building. A case study has validated the effectiveness and the applicability of the proposed method. The results reveal that the proposed integrated method helps to formulate the problem and is particularly effective in handling uncertain data. It facilitates the selection of the best renewable energy alternatives in a manner that is participatory, comprehensive, robust, and reliable.
Citation
SEDDIKI, M. and BENNADJI, A. 2019. Multi-criteria evaluation of renewable energy alternatives for electricity generation in a residential building. Renewable and sustainable energy reviews [online], 110, pages 101-117. Available from: https://doi.org/10.1016/j.rser.2019.04.046
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 13, 2019 |
Online Publication Date | May 1, 2019 |
Publication Date | Aug 31, 2019 |
Deposit Date | Jul 19, 2019 |
Publicly Available Date | May 2, 2020 |
Journal | Renewable and sustainable energy reviews |
Print ISSN | 1364-0321 |
Electronic ISSN | 1879-0690 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 110 |
Pages | 101-117 |
DOI | https://doi.org/10.1016/j.rser.2019.04.046 |
Keywords | Residential buildings; Electricity generation; Renewable energy alternatives; Sustainable architecture; Delphi; FAHP; FPROMETHEE |
Public URL | https://rgu-repository.worktribe.com/output/242969 |
Contract Date | Jul 19, 2019 |
Files
SEDDIKI 2019 Multi-criteria evaluations
(1.7 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Development and pilot evaluation of an online retrofit decision-making tool for homeowners.
(2022)
Journal Article
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search