Performance Assessment of Malaysian Fossil Fuel Power Plants: A Data Envelopment Analysis (DEA) Approach

IF 2.4 Q3 ENERGY & FUELS
Ahmad Shafiq Abdul Rahman, Sharifah Aishah Syed Ali, Mohd Rizal Isa, Fazilatulaili Ali, Diyana Kamaruddin, Muhammad Hakiki Baharuddin
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引用次数: 1

Abstract

This paper investigated the performance of Malaysian power plants from the year 2015 to 2017 using Malmquist Total Factor Productivity (TFP) index, which is based on Data Envelopment Analysis (DEA). This approach offers substantial advantages as compared to other existing methods as it can measure productivity changes over time for a variety of inputs and outputs. Moreover, it comprises two primary components: the technical efficiency change and the technological change indexes that provide clearer insight into the factors that are responsible for shifts in total factor productivity. This study uses a single input, installed generation capacity (MW), and two outputs, average thermal efficiency (%) and average equivalent availability factor (%). These output-input data included ten main power plants: TNB Natural Gas, SESB Natural Gas, SESB Diesel, SEB Natural Gas, SEB Coal, SEB Diesel, IPP Semenanjung Natural Gas, IPP Semenanjung Coal, IPP Sabah Natural Gas, and IPP Sabah Diesel. The results have two significant implications for fossil fuel power plants in Malaysia. First, technological change was the primary factor in boosting the TFP performance of the fossil fuel power plants in Malaysia. Meanwhile, the decline in TFP performance in Malaysian fossil fuel power plants may be attributed, in part, to a lack of innovation in technical components as the results found that the average technical efficiency changes in 2015 – 2016 were at 146% and then dropped significantly to 2% in 2016 – 2017. Second, the average scale efficiency changes rose dramatically from -53% to 3% providing a significant contribution to the improvement of technical efficiency changes. The fossil fuel power plants become efficient as the power plants’ size increases. This indicates that the size of a power plant positively impacts the performance of the TFP.
马来西亚化石燃料发电厂的性能评估:数据包络分析(DEA)方法
本文使用基于数据包络分析(DEA)的Malmquist全要素生产率(TFP)指数对马来西亚发电厂2015年至2017年的绩效进行了调查。与其他现有方法相比,这种方法具有显著优势,因为它可以衡量各种投入和产出随时间的生产力变化。此外,它包括两个主要组成部分:技术效率变化和技术变化指数,这两个指数可以更清楚地了解导致全要素生产率变化的因素。本研究使用了单一输入、装机容量(MW)和两个输出、平均热效率(%)和平均等效可用系数(%)。这些输出输入数据包括十个主要发电厂:TNB天然气、SESB天然气,SESB柴油、SEB天然气、SEB煤炭、SEB柴油、IPP Semenajung天然气、IPP Seminajung煤炭、IPP Sabah天然气和IPP Sabah柴油。研究结果对马来西亚的化石燃料发电厂有两个重要意义。首先,技术变革是提高马来西亚化石燃料发电厂TFP性能的主要因素。同时,马来西亚化石燃料发电厂TFP性能的下降可能部分归因于技术组件缺乏创新,因为研究结果发现,2015-2016年的平均技术效率变化为146%,然后在2016-2017年大幅下降至2%。其次,平均规模效率变化从-53%急剧上升到3%,为技术效率变化的改善做出了重大贡献。化石燃料发电厂随着发电厂规模的增加而变得高效。这表明发电厂的规模对TFP的性能有积极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.50
自引率
16.00%
发文量
83
审稿时长
8 weeks
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