Simulation of wood pole replacement rate and its application to life cycle economy studies

Gustavsen, Bjørn; Rolfseng, L.

doi:10.1109/61.847266

Cited by 28 publications

(13 citation statements)

References 2 publications

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“…Konfidenzsch&tzungen flankieren mit der Ermittlung der statistischen Fehler die ZuverlAssigkeitsanalyse (Bronstein, Smedjajew, 1991 ( Gustavsen, Rolfseng, 2000). (Brauner, 2002;Curcic, Creighton, 2001 …”

Section: E T H O D E Ffir R I S I K O -O R I E N T I E R T E S a S unclassified

Risiko-orientiertes Asset-Management

Schreiner

Rieder

Haslauer

et al. 2003

Elektrotech. Inftech.

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Aufgrund des Drucks der Regulierungsbeh6rden sehen sich Netzbetreiber im liberalisierten Markt verst~irkt mit der Anforderung konfrontiert, die Instandhaltungskosten und Aufw~inde fLir Ersatzinvestitionen zu senken und gleichzeitig die durch Performance-Indices vorgegebene Systemverf~igbarkeit einzuhalten. Maltnahmen zur Effizienzsteigerung reichen alleine nicht aus, um diese Anforderungen zu erf~lleno Stattdessen bietet sich der Einsatz eines Risiko-orientierten Asset-Managements an, das die Kosten reduziert und gleichzeitig die Netzqualit~it erhiilt. Es analysiert die Zuverliissigkeit und (wirtschafUiche) Wichtigkeit von Betriebsmitteln und schiitzt das monet~ir bewertete Risiko auf einen langen Zeitraum hin ab. Mit der von A.T. Kearney und der Salzburg AG entwickelten praxisbezogenen Methode lassen sich Einsparungen von ca. 15 % der beeinflussbaren Kosten im Netz bei anniihernd gleichem Risiko erzielen. Risk.based asset management. Forced by pressure from the regulatory authorities, network operators in the liberalized market are increasingly confronted with the need to reduce maintenance costs and expenses for replacement investments while ensuring system availability determined by performance indices in parallel. Measures to enhance efficiency alone do not suffice to fulfil these requirements. Rather, risk-based asset management is well suited to reduce costs while ensuring network quality at the same time. It analyzes the reliability and (economic) importance of operating resources and estimates the monetary risk assessed over a longer timeframe. With the proven-in-practice risk-based asset management methodology developed jointly byA.T. Kearney and Salzburg AG, Austria, savings of approximately 15 % of the controllable costs in the network can be achieved with nearly constant risk.

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Section: E T H O D E Ffir R I S I K O -O R I E N T I E R T E S a S unclassified

Risiko-orientiertes Asset-Management

Schreiner

Rieder

Haslauer

et al. 2003

Elektrotech. Inftech.

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“…They addressed the degradation of pole strength over time in their failure model and used the fragility curve to predict the pole failure. Gustavsen and Rolfseng (2000) created a simulation-based method to investigate the rate of wooden pole replacement due to decaying pole strength over time and climatic loads from wind and ice. They found that pole damage due to climatic loads may incur high costs for repair work and the loss of power.…”

Section: Utility Pole Damagesmentioning

confidence: 99%

Automatic Assessment and Prediction of the Resilience of Utility Poles Using Unmanned Aerial Vehicles and Computer Vision Techniques

Alam

Zhu

Tokgoz

et al. 2020

Int J Disaster Risk Sci

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The utility poles of electric power distribution lines are very vulnerable to many natural hazards, while power outages due to pole failures can lead to adverse economic and social consequences. Utility companies, therefore, need to monitor the conditions of poles regularly and predict their future conditions accurately and promptly to operate the distribution system continuously and safely. This article presents a novel pole monitoring method that uses state-of-the-art deep learning and computer vision methods to meet the need. The proposed method automatically captures the current pole inclination angles using an unmanned aerial vehicle. The method calculates the bending moment exerted on the poles due to wind and gravitational forces, as well as cable weight, to compare it with the moment of rupture. The method also includes a machine learning-based model that is built by using a support vector machine to predict the resilience conditions of a pole after a wind event in a faster manner. The three modules of the proposed method are effective tools to classify pole conditions and are expected to enable utility companies to increase the resilience of their systems.

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“…To find the optimum renewal (repair or replacement) time, we seek to minimize Equation (17) as given by Equation (18), which is then simplified to Equation (19):…”

Section: Costmentioning

confidence: 99%

“…Other research on distribution poles subjected to hurricane hazard includes Bjarnadottir et al [18], Gustavsen and Rolfseng [19], and Francis et al [20]. These papers, however, did not consider preventive maintenance of the poles, system performance, and optimization.…”

Section: Introductionmentioning

confidence: 99%

Maintenance optimization for power distribution systems subjected to hurricane hazard, timber decay and climate change

Salman

Bastidas‐Arteaga

2017

Reliability Engineering & System Safety

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International audienceElectric power systems are vulnerable to extensive damage due to hurricanes with most of the damage concentrated on overhead distribution systems. There is evidence that climate change will affect future hurricane patterns. Additionally, wood poles, which are most commonly used in distribution systems, are susceptible to decay. The scarcity of resources and increasing demand for higher reliability warrant the use of optimization techniques for wood pole maintenance planning. This paper presents a framework for optimal maintenance of wood poles subjected to non-stationary hurricane hazard and decay. Maintenance cost, service life, and system performance are considered separately and simultaneously in the optimization. Periodic chemical treatment and repair of decayed poles using fiber-reinforced polymer are considered. The distribution system of a virtual city assumed to be in Florida is used to demonstrate the framework. The results of the single-objective optimization indicate that the objective that maximizes service life resulted in higher optimal maintenance time. However, delaying maintenance will lead to a larger probability of pole failure, higher corrective maintenance cost, and lower system performance. The result of the multi-objective optimization is closer to the result of the cost-based optimization because the cost function is more sensitive to the variation of maintenance time

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Simulation of wood pole replacement rate and its application to life cycle economy studies

Cited by 28 publications

References 2 publications

Risiko-orientiertes Asset-Management

Risiko-orientiertes Asset-Management

Automatic Assessment and Prediction of the Resilience of Utility Poles Using Unmanned Aerial Vehicles and Computer Vision Techniques

Maintenance optimization for power distribution systems subjected to hurricane hazard, timber decay and climate change

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