Criticality Analysis for Network Utilities Asset Management

Martínez-Galán, Pablo; Gómez, J.F.; Crespo, Adolfo; Guillén, Antonio; Fuente, Antonio de la; Candón, Eduardo

doi:10.1016/j.ifacol.2019.11.511

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…In line with the foregoing discussions, Martínez-Gálán et al [5] explore failure consequences quantification in electrical network (E/N) systems establishing new concepts like loss exposure (LE) and social importance (SI). The above criteria take into account social factors like consumer satisfaction and the overall perception of the market in addition to functional loss-based cost.…”

Section: Literature Reviewmentioning

confidence: 91%

Enhancing Prescriptive Capabilities in Electrical Substations: A Systemic Impact Factor Approach for Failure Impact Analysis

Rodríguez,

Crespo,

González-Prida

2024

Energies

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This research looks into a systemic impact factor (SIF) as a complement to enhance the prescriptive capabilities of electric substations with the objective of improving the reliability and robustness of components. As electrical networks become increasingly complex, prescriptive analytical tools are needed to ensure sustained power delivery. The purpose is to develop a framework for evaluating failure effects, including both direct and indirect effects on substation performance. The study makes use of a multi-criteria method that incorporates safety, environment protection, reliability, and network robustness among other factors like SAIDI and SAIFI to determine the actual impact of failures to make better decisions. The methodology is illustrated using a criticality model, and a case study, focusing on operational contexts of the failure. The SIF proposal provides a better understanding of different aspects and their contribution, when a failure event occurs under a given operational context. This factor improves maintenance management by identifying critical equipment and projecting the effects of failure through a specific operation network. A case study in an electrical substation estimates the SIF for each element used in daily operations to improve support services and increase substation dependability. Therefore, SIF is an essential factor to consider in electrical substations for their maintainability and reliability evaluation.

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Section: Literature Reviewmentioning

confidence: 91%

Enhancing Prescriptive Capabilities in Electrical Substations: A Systemic Impact Factor Approach for Failure Impact Analysis

Rodríguez,

Crespo,

González-Prida

2024

Energies

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“…Defining the criteria for the identification of critical assets is a challenging process, especially regarding internal and external interdependencies, and must be based on appropriate methodology [4]. Asset criticality definition (e.g., "critical infrastructure") has evolved over the years [5].…”

Section: Introductionmentioning

confidence: 99%

“…Numerous authors have continuously researched the criticality of organization assets. A study describes the core part of asset criticality analysis for Distribution Network Service Providers (DNSPs) [6]. The methodology is based on the risk-based evaluation of assets, considering the potential impacts of their failures on network value.…”

Section: Introductionmentioning

confidence: 99%

“…By summarizing the principal elements of the previously analyzed literature sources on the criticality analysis of organization assets, it can be concluded that very different research objects were taken into consideration: distribution network service providers, a fertilizer manufacturing company [9], a petrochemical industry, steam generation system, gas infrastructure, the transport-supply chain nexus, etc [6,9,11,16,21,22].…”

Section: Introductionmentioning

confidence: 99%

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Criticality Analysis of A Sea Port`s Shore Cranes Using Analytic Hierarchy Process Method

Đelović

2024

TOTJ

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Introduction/Background Critical assets are the organizational resources of crucial importance for maintaining operations and achieving the organization's mission. The criticality of organization assets is continuously researched by numerous authors. Ports have critical importance for the global supply chain. Together with the port workforce, port infrastructure, and port superstructure, which are interconnected with the port information system, port machinery enables the functioning of a port. Depending on the characteristics of a port (level of its specialization, etc.), there are various port machinery types used in the cargo handling process, and all of them do not have the same criticality level. In the available literature, no research directly related to the criticality analysis of shore cranes in use at a terminal in a seaport can be found. It was one of the principal initial motives of the author to write this paper. Methodology After an overview of literature sources dealing with assets` criticality analysis and a condensed theoretical consideration of the general importance of ports and port machinery, this paper shows the results of research on the port`s shore cranes‘ criticality ranks, using Analytic Hierarchy Process (AHP) method. The research included a group of shore cranes at the Dry Bulk Cargo Terminal in the Port of Bar JSC (Montenegro), which consists of three gantry cranes (with a capacity per item of 12 t), two mobile harbor cranes with a capacity of 144 t and 124 t and a ship loader for cereals with a capacity of 300 t/h. Criticality analysis was conducted based on four selection criteria: C1-if the shore crane type is an element of cargo handling technology with priority cargo group; C2-level of hourly productivity; C3-level of operating costs; C4-level of cost generated by shore crane downtime during the loading/unloading process. The AHP hierarchy framework used was a three-level model: “level 0” – goal; “level 1” the – criterion; “level 2” the – choice. Results/Discussion According to the calculated level of criticality based on the defined selection criteria, the highest criticality rank was observed for the mobile harbor crane with a capacity of 144 t, which had the highest rank for three out of four selection criteria. Conclusion The results of the research can be used as a base for further research studies in this field as well as a reliable base for a very wide range of managerial activities directed to improvements in the maintenance system of shore cranes as well as in the cargo handling system where the cranes are used. As one of the potential purposes of the results, with a high level of importance, their potential usage for introducing, adequate modeling, and implementing the concept of predictive maintenance of shore cranes (with all related benefits) is pointed out.

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“…There is also consensus throughout industry that criticality ranking and assigning these thoroughly considered risk ratings to assets benefits decision making and further improves the reliability and the predictability of maintenance procedures [39,40]. These methodologies are particularly evident in large industries such as the petrochemical industry [41,42] and the power sector [43,44], where failures or inadequate maintenance can lead to catastrophic failures. The underlying principles can be applied to scheduling maintenance of smaller-scale industrial assets, whereas they can also be effectively transferred and implemented as a measure of an asset's suitability for DR participation.…”

Section: Introductionmentioning

confidence: 99%

Advancing the Industrial Sectors Participation in Demand Response within National Electricity Grids

2021

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Increasing the level and diversifying the sources of flexible capacity available to transmission system operators will be a pivotal factor for maintaining reliable control of national electricity grids. These response capacities are widely available; however, one area with large capacities that could benefit from advancements is the industrial sector. This sector’s highly regulated nature ensures that structured procedures and thorough investigations are required to implement significant change. This study presents a systematic methodology to effectively categorise assets and evaluate their perceived risk of participation in demand response, allowing industries to present a sustainable portfolio of flexible capacity to the grid. Following implementation on an internationally relevant industrial site, this methodology identified several assets for participation, determining that it is realistic to expect 35 to 75 kW of flexible capacity from only air handling units on a single site. A selected unit was further evaluated using an internal air-temperature modelling tool. This demonstrated its ability to respond safely to the actual 2019 and 2020 grid frequency events and even remain off, at no risk to the indoor thermal environment for at least 20 min in each case. The potential impact of advancing industrial participation is presented, with the highest scenario providing almost 15 MW of flexible capacity to the Irish national grid. The financial benefit achievable on a site from the most conservative assets was found to be between EUR 993 and EUR 2129 annually for a single response category and up to EUR 6563 based on payment multipliers. Overall, this research demonstrates the significant flexible capacities available within the industrial sector and illustrates the low-risk capabilities and considerable benefits achievable on a single site and for the wider national electricity grids with this concept.

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Criticality Analysis for Network Utilities Asset Management

Cited by 6 publications

References 10 publications

Enhancing Prescriptive Capabilities in Electrical Substations: A Systemic Impact Factor Approach for Failure Impact Analysis

Enhancing Prescriptive Capabilities in Electrical Substations: A Systemic Impact Factor Approach for Failure Impact Analysis

Criticality Analysis of A Sea Port`s Shore Cranes Using Analytic Hierarchy Process Method

Advancing the Industrial Sectors Participation in Demand Response within National Electricity Grids

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