Abstract
The outburst of population as well as increasing industrialisation have triggered a very prominent imbalance between electricity demand and supply in emerging economies such as Indonesia. Based on this premise, electricity generation and distribution firms such as Perusahaan Listrik Negara (PLN) are faced with an urgent need to enhance availability and reliability through capacity expansion as well as the institutionalisation of cost-effective maintenance and asset management (MAM) principles. Some of the principles recommended here involve embedding customised overall health index (OHI) and total life cycle cost (LCC) estimation principles into engineering decisions that relate to asset renewal and/or replacement. While discussions about the fundamental theories and estimation approaches for OHI and LCC for power transformers (PTs) already exist in the current body of literature, however, they are mostly in a generic form which has somewhat limited proper implementation of these valuable principles in practice. This study is unique because it provides a very systematic framework towards achieving cost-effective MAM through a case study. Additionally, the proposed framework is all-encompassing, as it also assesses the impacts of human unreliability through the application or proven risk assessment techniques. The proposed framework commences with the evaluation of existing decision support system at PLN through a MAM audit, whereby the performance of the West Java arm of PLN with regards to critical MAM elements was examined.
Highlights
An aftermath of the mid-eighteenth century industrial revolution through to the twentieth century is the ability of humans to generate electricity by exploiting various energy sources [1,2].The emergence of electricity generation resulted to what can be described as the causal loop of energy whereby advancements in electricity led to the development and operation of several heavy and complex industrial activities, which contributed to the outburst of global economy
The current study proposes a MAM life cycle cost (MAMLCC) for power transformers (PTs), based on item structure and maintenance regimes (i.e., breakdown maintenance (BM), planned periodic maintenance (PPM) & condition based maintenance (CBM) for which their respective intervals are shown in column 3 of Table 5)
Practicalthat engagement with some most critical industries such as and manufacturing has indicated this philosophy is not of as the widespread as initially anticipated, power and manufacturing has indicated that this philosophy is not as widespread as initially which is perhaps due to the existence of numerous cost mapping tools and fragmentary information
Summary
An aftermath of the mid-eighteenth century industrial revolution through to the twentieth century is the ability of humans to generate electricity by exploiting various energy sources [1,2]. Field and academic experts in maintenance engineering believe that CBM is currently one of the most effective approaches for enhancing the reliability of plant machinery [20,21,22] While this may be true, it should be noted that the cost of implementing and continuously operating a typical CBM program could be very significant, depending on the size, complexity and criticality of the considered plant. Besides the aforementioned premise of this study, it is worth noting that a fundamental value of the study lies in the development of a systematic process for assessing and managing critical industrial assets. The significant rise in consumer demand for enhanced performance from power utilities has triggered the need to base business and engineering investment decisions on a justifiable balance among capital investments, maintenance and operating costs [48,49,50]. The penultimate section describes a framework for estimating maintenance life cycle cost
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