Ajmi Ahmed Ali, Mahmood Noor Shakir, Jamaludin Khairur Rijal, Talib Hayati Habibah Abdul, Sarip Shamsul, Kaidi Hazilah Mad
Razak Faculty of Technology and Informatics, UTM, 54100, Kuala Lumpur, Malaysia.
University of Technology, Ministry of Electricity GCEP/Middle Region, Iraq.
Heliyon. 2023 Jul 23;9(8):e18438. doi: 10.1016/j.heliyon.2023.e18438. eCollection 2023 Aug.
The current literature suggests that a lack of integration between engineering for performance shaping factors (PSFs) and workplace energy management (WEM) is a significant barrier to improving energy management practices (EMP) and power plant efficiency. The study identified three research objectives in response to this research gap: (1) conduct a systematic literature review to analyze current studies; (2) develop a novel integrative model capable of predicting EMP; and (3) test the novel model's validity and reliability through an empirical study in thermal power plants. In this study, a group of academic and energy experts designed research instruments to achieve the study's objectives, which were then pilot-tested. Partial least square structural equation modeling was utilized to analyze the data in this study. The study successfully developed a new model for future sustainable energy management in power plants and a new model integrating the PSFs and WEM to predict power plant energy performance, aiming to enhance communication between operators and EMP in power plants. The model exhibited exceptional explanatory and predictive abilities, yielding a strong fit. Furthermore, the incorporation of success factors associated with PSFs positively influenced the EMP. The data set followed a normal distribution, confirming the model's reliability and validity. Significantly, this study achieved a breakthrough by being the first to integrate success factors for PSFs and WEM in thermal power plants, thus effectively addressing an unexplored area of research. However, the inconsistencies in the current studies emphasize the necessity for additional investigations into the strategy of PSFs in EMP within power plants.
当前文献表明，性能塑造因素（PSF）工程与工作场所能源管理（WEM）之间缺乏整合，是改善能源管理实践（EMP）和电厂效率的重大障碍。该研究针对这一研究空白确定了三个研究目标：（1）进行系统的文献综述以分析当前研究；（2）开发一个能够预测EMP的新型综合模型；（3）通过在热电厂进行实证研究来测试该新型模型的有效性和可靠性。在本研究中，一组学术和能源专家设计了研究工具以实现研究目标，然后进行了预测试。本研究利用偏最小二乘结构方程模型来分析数据。该研究成功开发了一个用于电厂未来可持续能源管理的新模型，以及一个整合PSF和WEM以预测电厂能源性能的新模型，旨在加强电厂操作人员与EMP之间的沟通。该模型具有出色的解释和预测能力，拟合度很高。此外，纳入与PSF相关的成功因素对EMP产生了积极影响。数据集呈正态分布，证实了模型的可靠性和有效性。值得注意的是，本研究率先将热电厂中PSF和WEM的成功因素进行整合，取得了突破，从而有效解决了一个未被探索的研究领域。然而，当前研究中的不一致之处强调了有必要对电厂EMP中PSF的策略进行更多调查。
