A structured approach to Asset Management within the electricity industry

Hoskins, Rau; Brint, Andrew; Štrbac, Goran

doi:10.1016/s0957-1787(98)00015-0

Cited by 30 publications

(18 citation statements)

References 17 publications

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“…In the lack of exact failure data, mathematical or heuristic modeling can be used. For example, Hoskins et al [24] proposed a heuristic model to provide estimates of component condition between inspection intervals based on age, loading and other factors. Hassan and Khan [25] proposed a hierarchical framework for asset integrity monitoring and assessment using multiple indicators available.…”

Section: Maintenance Scheduling -State Of the Artmentioning

confidence: 99%

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Maintenance-centric energy management of industrial plants assisted by demand response

Mohagheghi

Raji

2014

2014 IEEE Industry Application Society Annual Meeting

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Asset management is an integral part of every industrial plant. Here, the goal is to improve the efficiency of the system while reducing the cost of maintenance and risk of failure. Traditionally, asset management has been performed as time-based maintenance or corrective maintenance; however, in order to reduce the consequences of component failures on the operation of the overall system many plant managers have moved towards more advanced condition-based or reliabilitycentric maintenance techniques. Here, the asset manager would adopt a more proactive maintenance approach based on the condition of the component and its importance for the overall production plan. Although shutting down a process for maintenance purposes has long-term benefits, it may accrue costs associated with the lost revenue, inventory buildup or wasted labor. A solution is put forth in this paper that counteracts financial losses due to preventive maintenance with direct benefits gained from demand response (DR). Within this context, maintenance scheduling is coordinated with DR, which is used as a tool at the asset manger's disposal in order to offset these financial losses. A case study is presented for a sample industrial plant in order to further explain the design concepts.Index Terms-Asset management, demand response, energy management, industrial plant demand scheduling, maintenance scheduling, preventive maintenance.

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Section: Maintenance Scheduling -State Of the Artmentioning

confidence: 99%

“…Effect of maintenance on the component also needs to be modeled. Some assume that maintenance has a deterministic effect (always returns the item to its best working condition), while others use stochastic models such as Markov chains to describe the effect of maintenance [24].…”

Section: Maintenance Scheduling -State Of the Artmentioning

confidence: 99%

Maintenance-centric energy management of industrial plants assisted by demand response

Mohagheghi

Raji

2014

2014 IEEE Industry Application Society Annual Meeting

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“…As an alternative, asset condition can be used as a surrogate measure for failure probability (Marlow et al 2007a;. In this approach, acceptable asset condition states are defined, which characterize the threshold above which risk is deemed to be unacceptable (Hoskins et al 1998). Condition assessment can then be used to determine whether the current state of an asset, implicitly expressed in terms of failure likelihood, is acceptable; that is, an asset in condition grade 'derelict', for example, may be considered to have reached the end of its useful life.…”

Section: Determining Remaining Asset Lifementioning

confidence: 99%

“…Hoskins et al (1998) refer to the use of book lives to determine the age at which oil-filled circuit breakers should be replaced (a book-life of 35-40 years is given). However, the actual life of an asset can often exceed the book-life.…”

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confidence: 99%

Modelling asset lifetimes and their role in asset management

Burn

Marlow

Tran

2010

Journal of Water Supply: Research and Technology-Aqua

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Utilities throughout the world are faced with the challenge of how best to manage their existing asset stock to provide satisfactory customer service with limited funds.Effective asset management helps utilities to meet this challenge; however, this requires the utilization of cost-effective approaches for assessing asset condition, performance and remaining service life. A key component of these approaches requires an understanding of asset lifetimes. This paper discusses the role of asset lifetimes in asset management and the current state of the art for prediction of remaining life using different approaches.It discusses very simple approaches based on assumed lives, as well as sophisticated mathematical approaches using deterministic, statistical, physical/probabilistic and artificial intelligence models. In analysing both asset management strategies and lifetime prediction methodologies, a key factor identified as missing is a standardized technique for the incorporation of lifetime models into the probability side of risk analysis. For asset management to become a valued and readily utilized tool, this issue needs to be urgently addressed.

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“…Según Hoskins et al (1998), la gestión de la infraestructura pretende asegurar el buen funcionamiento de estos dispositivos, para la planificación de acciones diversas de mantenimiento, reparación y rehabilitación. Según FHWA (1999) la gestión de la infraestructura es un proceso continuo, iterativo, adaptativo y flexible a los cambios, las evoluciones y orientaciones que pueden ser productivos.…”

Section: La Gestión De La Infraestructura (Activos) "Asset Managementunclassified

Modelo híbrido para la toma de decisiones en programas de rehabilitación de tuberías para sistemas de abastecimiento de agua: Aplicación a la ciudad de Celaya, Gto. (México)

Guzmán¹,

Daniel²

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A structured approach to Asset Management within the electricity industry

Cited by 30 publications

References 17 publications

Maintenance-centric energy management of industrial plants assisted by demand response

Maintenance-centric energy management of industrial plants assisted by demand response

Modelling asset lifetimes and their role in asset management

Modelo híbrido para la toma de decisiones en programas de rehabilitación de tuberías para sistemas de abastecimiento de agua: Aplicación a la ciudad de Celaya, Gto. (México)

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