Data needs and computational requirements for asset management decision making. Internal deliverable ID5.2.1

Maria Catrinu-Renstrom, Rémy Clement, Pascal Tournebise, Nikolay Nikolaev, Andrey Andreev, Nenko Gamov, Ventsislav Zahov, Boyko Chovikov, Swasti R. Khuntia, José L. Rueda, Petr Janeček, Edgar Nuño Martinez

Research output: Book/ReportReportResearch

Abstract

The objective of this deliverable is to present the requirements for adapting available tools/models and identifying data needs for reliability analysis and optimal decision-making for asset management decision making process. It will serve as a basis for the next tasks of GARPUR work package 5 addressing to the requirements of RMAC criterion developed in work package 2. The report has been written by several partners, three of them being European TSOs, and the three other being academic partners. Special attention has been paid to address every topic in asset management decision making process, and so that no important issue has been forgotten in the grey zones at the interfaces between the different time-frames (long-, mid- and short-term).
Adhering to the title of the task, the various chapters in the deliverable discuss the exogenous factors, i.e., load forecasting, maintenance planning, component failure rates, influence of renewable energy penetration and weather on mid-term planning. Accurate estimation of the variation of uncertainty behind exogenous and endogenous factors is crucial to support reliable calculations/estimations by proposed approaches for RMACs for asset management decision making process, as described in work package 2. Some advanced models exist in scientific literature to characterize the spatio-temporal variation and correlations of relevant factors. Some of these models have been proposed in academia, and offer improved representation with respect to those models currently in use by TSOs. The most relevant to GARPUR are presented and discussed in this report.
This report also outlines the gaps that might hinder implementation of the new approaches of GARPUR for reliability assessment and control, and provides recommendations for bridging them towards pilot testing in GARPUR, and for further improvement/extension beyond GARPUR.
Original languageEnglish
PublisherTU Delft
Number of pages79
Publication statusPublished - 2016

Bibliographical note

Project no.:608540; Project acronym: GARPUR; Project full title: Generally Accepted Reliability Principle with Uncertainty modelling and through probabilistic Risk assessment

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