Universiti Teknologi Malaysia Institutional Repository

Novel approach to energy management via performance shaping factors in power plants

Ajmi, Ahmed Ali and Mahmood, Noor Shakir and Jamaludin, Khairur Rijal and Abdul Talib, Hayati Habibah and Sarip, Shamsul and Mad Kaidi, Hazilah (2022) Novel approach to energy management via performance shaping factors in power plants. Computers, Materials and Continua, 73 (3). pp. 5025-5039. ISSN 1546-2218

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Official URL: http://dx.doi.org/10.32604/cmc.2022.031239

Abstract

The literature that a lack of integration between the performance shaping factors (PSFs) and the energy management performance (EMP) is one of the critical problems that prevent performance improvement and reduces the power plant’s efficiency. To solve this problem, this article aims to achieve two main objectives: (1) Systematically investigate and identify the critical success factors (CSFs) for integration with PSFs and EMP, (2) Develop a novel modelling approach to predict the performance of power plants based on innovative integrated strategies. The research methodology is grounded on the theoretical and practical approach to improving performance. The Newcastle Ottawa Scale (NOS) was used to assess the quality of the literature that met the criteria. To ensure the reliability and accuracy of the proposed model, the researchers developed a hypothesis and evaluated the CSFs via a case study in the Iraqi power plants. The findings of this study succeeded in developing a novel modeling approach to predict the performance by integrating the CSFs of both the PSFs and EMP to increase the positive interaction and energy efficiency of power plants. The results confirmed the validity of the selected hypotheses and verified the positive and important relationship with the success and improvement of the performance in power plants. However, the lack of consistency and balance in the current studies indicates that the performance strategy in power plants did not receive sufficient attention and needs further investigations.

Item Type:Article
Uncontrolled Keywords:energy efficiency, energy policy, energy use, framework, integrated system, Intelligent model
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:103283
Deposited By: Widya Wahid
Deposited On:31 Oct 2023 01:34
Last Modified:31 Oct 2023 01:34

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