Abstract :
CIGRE Working Group (WG) C 1-1 is charged with a the task of determining from a systems and economics perspectives, what decision support tools, skills and techniques are required for effective asset management. To that end, the WG is drafting a state-of-the-art report to be published as a CIGRE Technical Brochure in 2006. This presentation will describe the work and results to date. Specific conclusions and recommendations include: ldr Asset Management is inherently related to the business drivers and management of business risk and as such it is a critical function for all utilities. Within the context of CIGRE study committee activities, Study Committee C is concerned with the interaction and impacts of sub-systems on overall system and business performance. This includes development of asset management strategies and the justification of major capital projects for shareholder and regulatory approvals. "B" Study Committees are concerned with equipment interactions on sub-system performance, while "A" study committees focus on understanding component aging mechanisms and their impacts on equipment performance. Asset management decision making of concern within A and B Study Committees relates to primarily to management of near-term equipment and sub-system problems and expenditures within the bounds of normal budget levels. Dl Study Committee also provides support to this process by developing the basic physical understandings of material aging under stress to relate stress levels to material life expectancy. ldr Generic approaches described, analysis methodologies (financial and probabilistic) are well established ldr Significantly improved business case analysis is achievable with existing information and data. ldr Opportunities to improve the accuracy of the analysis exist if A, B &D level SC\´s can respond to improve the accuracy of fundamental data and information on the aging of materials under stress, and by providing more quantitative information on c- - omponent and subsystem aging and failure statistics.