Asset management for transmission and distribution

2005 ◽  
Vol 3 (3) ◽  
pp. 39-45 ◽  
Author(s):  
R.E. Brown ◽  
B.G. Humphrey
Author(s):  
Douglas Hilleman ◽  
John M. Lindsay ◽  
Tim Hinson

Gainesville Regional Utilities (GRU) is a fully vertically-integrated utility with electric power generation, transmission, and distribution system owned by the City of Gainesville, FL. We have two primary generating plant sites: Deerhaven with two conventional coal-fired steam units (DH1 and DH2) and John R. Kelly (JCC1) combined-cycle Unit 1. Kelly Station (the focus of this study) is located in southeast Gainesville near the downtown business district. It has one - 120 MW combined-cycle unit (JCC1) in 1 × 1 configuration, consisting of: one GE Frame 7E combustion turbine (dual fuel), one Applied Thermal Systems two pressure HRSG, one 50-year old Westinghouse steam turbine unit with cooling tower, fuel storage, pumping equipment, transmission, and distribution equipment. In 2013, GRU with a seasonal peak load of approximately 500 MWs was to start receiving the output of a new 100 MW bio-fuel plant under a purchase power agreement. It was apparent that the operation of the GRU units would drastically change. It was predicted by GRU that DH2 a 255 MW coal unit would move to a cycling duty unit and the Kelly combined-cycle unit would be relegated to “peaking” operation. To better understand and predict future operational impacts, GRU contracted with Intertek AIM (APTECH) to conduct a Cost of Cycling study. This paper is our presentation of the results of the study and the changes that were indicated by the cycling analysis to manage the GRU system at the lowest cost and to incorporate the new modes of cycling operation. The expected modes of operation based on the results of the study were reversed to use the lowest cost unit for frequent cycling of JCC1 and changed the previously base loaded coal unit DH2 into a seasonal unit with long seasonal shut downs. This paper further shows the actions implemented by GRU at Kelly station to improve the cycling response and reduce the damage impact of each cycle by managing the startup ramp rates of the limiting equipment. The plant had limited budget for capital improvements and focused principally on managing the cost by modifying the startup procedures using real time operating data. Our conclusion was that by following the report recommendations, a new “Start Model” produced repeatable and acceptable results that minimized possible damage to the unit while meeting the need to use the renewable energy and support the customer by providing power at the lowest cost. The paper will demonstrate the improvement areas, the actual changes, and the results of those changes to the cycling data and the savings due to reduced damage.


2016 ◽  
Vol 26 (10) ◽  
pp. 2123-2133 ◽  
Author(s):  
Swasti R. Khuntia ◽  
José Luis Rueda ◽  
Sonja Bouwman ◽  
Mart A. M. M. van der Meijden

2018 ◽  
Vol 5 (3) ◽  
pp. 33-51 ◽  
Author(s):  
Bijoy Chattopadhyay ◽  
Angelica Rodriguez

This article describes how in order to prioritize the risks for a large number of assets, various criteria are used for ranking the asset risk. Since the criteria used for developing the risk rank is a mixture of quantitative and qualitative, a method was required to handle both the quantitative and qualitative criteria with varying scales that can be used for the electrical industry's assets. This article proposes a hybrid multi-criteria decision model (MCDM) that combines both weighted sum model (WSM) and analytical hierarchy process (AHP). The hybrid model is then applied to the strategic asset management plan for the electric power industry for ranking the assets risk. In this application, a large number of criteria reflecting asset conditions with their numerical values are available for which WSM method worked quite efficiently. The AHP method was applied to the criteria where qualitative criteria were available. Both methods were then synthesized, and the proposed hybrid method was formulated which resulted in a computationally efficient outcome with robust mathematical framework. The results show that the proposed method exhibited optimal results for the electric industry's asset where qualitative criteria are for AHP method was limited to 3 to 5. In the case of WSM, a larger number of quantitative criteria could be accommodated although for the application only six criteria were utilized.


2020 ◽  
Author(s):  
David Rehak ◽  
Martin Hromada ◽  
Ilias Gkotsis ◽  
Anna Gazi ◽  
Evita Agrafioti ◽  
...  

The European gas network currently includes approximately 200,000 km high pressure transmission and distribution pipelines. The needs and requirements of this network are focused on risk-based security asset management, impacts and cascading effects of cyber-physical attacks on interdependent and interconnected European Gas grids. The European SecureGas project tackles these issues by implementing, updating, and incrementally improving extended components, which are contextualized, customized, deployed, demonstrated and validated in three business cases, according to scenarios defined by the end-users. Just validation is considered to be a key end activity, the essence of which is the evaluation of the proposed solution to determine whether it satisfies specified requirements. Therefore, the chapter deals with the validation strategy that can be implemented for the verification of these objectives and evaluation of technological based solutions which aim to strengthen the resilience of the European gas network.


2020 ◽  
Vol 78 (12) ◽  
pp. 1276-1285
Author(s):  
Shibu John A

Enterprise asset management (EAM) systems are used by asset owners and/or operators to manage the maintenance of their physical assets. These assets, including equipment, facilities, vehicles, and infrastructure, need maintenance to sustain their operations. An EAM system provides the means to have less unplanned downtime and extended asset longevity, which offers clear business benefits that improve the profit and loss statement and balance sheet. Particularly for capital-intensive industries, like drilling and exploration, the failure of on-time delivery of critical equipment or processes is disruptive and costs nonproductive time and customer satisfaction. Organizations understand these issues and employ an appropriate asset management system to engineer their asset maintenance and management. An EAM system is needed to manage the people, assets/equipment, and processes. EAMs are used to plan, optimize, execute, and track the needed maintenance activities with associated priorities, skills, materials, tools, and information. Similarly, nondestructive testing (NDT) is used as a tool for integrity assessment of assets in drilling and exploration. The main advantage of using NDT is that the item’s intended use or serviceability is not affected. The selection of a specific technique should be based on knowledge and skills that include design, material processing, and material evaluation. Validating the purpose of this paper, we emphasize the importance of optimizing the asset utilization and serviceability to enhance overall efficiency by integrating EAM software that manages assets, the operation management system (OMS) controlling the processes, and asset inspection management systems (AIMSs).


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