Cover Image

Modeling energy management sustainability: Smart integrated framework for future trends

The sustainability issues of energy management are among the open challenges that lack an integrative sustainable framework and need urgent solutions in the power plants. Extant literature has neither defined energy management sustainability adequately, nor developed any sustainable framework in the...

Full description

Saved in:
Bibliographic Details
Main Authors: Mahmood, Noor Shakir, Ajmi, Ahmed Ali, Sarip, Shamsul, Mad Kaidi, Hazilah, Suhot, Mohamed Azlan, Jamaludin, Khairur Rijal, Abdul Talib, Hayati Habibah
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/103645/1/ShamsulSarip2022_ModelingEnergyManagementSustainability.pdf
http://eprints.utm.my/103645/
http://dx.doi.org/10.1016/j.egyr.2022.06.023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.103645
record_format eprints
spelling my.utm.1036452023-11-23T08:11:35Z http://eprints.utm.my/103645/ Modeling energy management sustainability: Smart integrated framework for future trends Mahmood, Noor Shakir Ajmi, Ahmed Ali Sarip, Shamsul Mad Kaidi, Hazilah Suhot, Mohamed Azlan Jamaludin, Khairur Rijal Abdul Talib, Hayati Habibah T Technology (General) The sustainability issues of energy management are among the open challenges that lack an integrative sustainable framework and need urgent solutions in the power plants. Extant literature has neither defined energy management sustainability adequately, nor developed any sustainable framework in the power plants. In light of this, the study responds to this research gap through achieving four objectives: (1) To create a coherent research taxonomy with a new scope, (2) To systematically analyze current challenges and future trends, (3) To identify the critical success factors (CSFs) of the energy management system (EMs) in the power plants, and (4) Develop a smart integrated framework to ensure the success and sustainability of EMs in power plants. The methodology is based on two approaches: the theoretical approach through comprehensively systematic literature review (SLR) and establishing a coherent research taxonomy to extract the CSFs. In contrast, the second approach is based on the judgment of technicians and energy experts working in power plants to develop a sustainable framework via a case study in the power plant. The SLR finding was employed with expert judgment to develop a smart model. The IBM-SPSS and PLS-SEM software were utilized to analyze data in the case study. The study was validated using three methods: first, content validity test through the SLR and expert arbitration. Secondly, the construct validity test via composite reliability (CR), Cronbach's alpha (CA), and average variance extracted (AVE). Thirdly discriminant validity test through Fornell and Larcker Criterion. The normality assessment by Skewness and Kurtosis has also been checked. All the results proved the validity and reliability of the integrated framework for sustainable EMs in power plants. The results for CA and CR were above 0.7. and the results of AVE were more than 0.5. The data normality value of skewness and Kurtosis are +/-2. Thus, the case study results indicate that it was acceptable and confirmed the literature results. Also, it confirmed the success of the proposed sustainable framework. The results fulfilled the normative requirements for validity and reliability. This study succeeded in developing a smart and sustainable framework for the future directions of energy management in power plants, which is a novel outcome of this study. Elsevier Ltd 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/103645/1/ShamsulSarip2022_ModelingEnergyManagementSustainability.pdf Mahmood, Noor Shakir and Ajmi, Ahmed Ali and Sarip, Shamsul and Mad Kaidi, Hazilah and Suhot, Mohamed Azlan and Jamaludin, Khairur Rijal and Abdul Talib, Hayati Habibah (2022) Modeling energy management sustainability: Smart integrated framework for future trends. Energy Reports, 8 (NA). pp. 8027-8045. ISSN 2352-4847 http://dx.doi.org/10.1016/j.egyr.2022.06.023 DOI : 10.1016/j.egyr.2022.06.023
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mahmood, Noor Shakir
Ajmi, Ahmed Ali
Sarip, Shamsul
Mad Kaidi, Hazilah
Suhot, Mohamed Azlan
Jamaludin, Khairur Rijal
Abdul Talib, Hayati Habibah
Modeling energy management sustainability: Smart integrated framework for future trends
description The sustainability issues of energy management are among the open challenges that lack an integrative sustainable framework and need urgent solutions in the power plants. Extant literature has neither defined energy management sustainability adequately, nor developed any sustainable framework in the power plants. In light of this, the study responds to this research gap through achieving four objectives: (1) To create a coherent research taxonomy with a new scope, (2) To systematically analyze current challenges and future trends, (3) To identify the critical success factors (CSFs) of the energy management system (EMs) in the power plants, and (4) Develop a smart integrated framework to ensure the success and sustainability of EMs in power plants. The methodology is based on two approaches: the theoretical approach through comprehensively systematic literature review (SLR) and establishing a coherent research taxonomy to extract the CSFs. In contrast, the second approach is based on the judgment of technicians and energy experts working in power plants to develop a sustainable framework via a case study in the power plant. The SLR finding was employed with expert judgment to develop a smart model. The IBM-SPSS and PLS-SEM software were utilized to analyze data in the case study. The study was validated using three methods: first, content validity test through the SLR and expert arbitration. Secondly, the construct validity test via composite reliability (CR), Cronbach's alpha (CA), and average variance extracted (AVE). Thirdly discriminant validity test through Fornell and Larcker Criterion. The normality assessment by Skewness and Kurtosis has also been checked. All the results proved the validity and reliability of the integrated framework for sustainable EMs in power plants. The results for CA and CR were above 0.7. and the results of AVE were more than 0.5. The data normality value of skewness and Kurtosis are +/-2. Thus, the case study results indicate that it was acceptable and confirmed the literature results. Also, it confirmed the success of the proposed sustainable framework. The results fulfilled the normative requirements for validity and reliability. This study succeeded in developing a smart and sustainable framework for the future directions of energy management in power plants, which is a novel outcome of this study.
format Article
author Mahmood, Noor Shakir
Ajmi, Ahmed Ali
Sarip, Shamsul
Mad Kaidi, Hazilah
Suhot, Mohamed Azlan
Jamaludin, Khairur Rijal
Abdul Talib, Hayati Habibah
author_facet Mahmood, Noor Shakir
Ajmi, Ahmed Ali
Sarip, Shamsul
Mad Kaidi, Hazilah
Suhot, Mohamed Azlan
Jamaludin, Khairur Rijal
Abdul Talib, Hayati Habibah
author_sort Mahmood, Noor Shakir
title Modeling energy management sustainability: Smart integrated framework for future trends
title_short Modeling energy management sustainability: Smart integrated framework for future trends
title_full Modeling energy management sustainability: Smart integrated framework for future trends
title_fullStr Modeling energy management sustainability: Smart integrated framework for future trends
title_full_unstemmed Modeling energy management sustainability: Smart integrated framework for future trends
title_sort modeling energy management sustainability: smart integrated framework for future trends
publisher Elsevier Ltd
publishDate 2022
url http://eprints.utm.my/103645/1/ShamsulSarip2022_ModelingEnergyManagementSustainability.pdf
http://eprints.utm.my/103645/
http://dx.doi.org/10.1016/j.egyr.2022.06.023
_version_ 1783876394950852608
score 13.211869

Similar Items