A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

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.

Learning How to Learn from Disasters through a Comparative Dichotomy Analysis: Grenfell Tower and Hurricane Katrina Case Studies

“…Hence, an important balance in designing Masters programmes should be geared towards achieving such a balance of a set of dichotomies in terms of engineering and management, technical and social, quantitative and qualitative, and positivist and interpretivist approaches, and emphasis on both single-loop and double-loop learning. In general, both success and failure offer good lessons for continuous improvement within all disciplines [36][37][38][39]73], although most conventional teachings are more inclined towards emphasizing the significance of learning from organizational successes [99,100]. However, some studies [101][102][103] are shifting this paradigm through their argument that the consequences of failures (especially catastrophic failures) are more likely to linger far longer than those of success, which eventually sets the framework that breeds experiential learning [25,55,104].…”

“…For instance, the emerging issues regarding cladding and testing of materials against fire resistance can be associated with the internal perspective, while the issues of trust between victims and authorities are external and are the main issues being covered in the GTD investigation so far. There is hence a need for more research into approaches that can facilitate clarity around decision-making by various agencies to increase trust about intervention [35][36][37][38][39] and also clarity about translations into different languages [40].…”

Development of a complementary framework for implementing asset register solutions

“…The existence of an asset hierarchy provides the business with the framework in which data is collected, information is reported, and decisions are made. [31][32][33][34] Additionally, Whyte et al 35 suggest that asset owners look to use information to achieve sustainable and safe performance throughout the life-cycle. As AIMS are central to achieving an asset data solution, it is important that their deployment is successful.…”

“…One of the most important steps in the assembly of an asset register is to establish hierarchies, but why is this? The existence of an asset hierarchy provides the business with the framework in which data is collected, information is reported, and decisions are made 31–34 . Additionally, Whyte et al 35 suggest that asset owners look to use information to achieve sustainable and safe performance throughout the life‐cycle.…”

Hybrid Dynamic Probability-Based Modeling Technique for Rolling Stock Failure Analysis

“…The growing complexity of modern engineering systems and the dynamic behaviors of their individual components makes it challenging to analyze the multiple interactions of faults with classical and steady-state probabilistic risk assessment (PRA) methods such as failure mode effects analysis (FMEA), fault tree analysis (FTA) [1]- [4] and event tree analysis. This problem is further compounded by the fact that the subsystems associated with individual complex systems are furnished with unique software that offers minimal information about its underlying source code, diagnostic inaccuracies, and internal functionalities [5]- [10].…”