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Title: Wind energy Computerized Maintenance Management System (CMMS) : data collection recommendations for reliability analysis.

Abstract

This report addresses the general data requirements for reliability analysis of fielded wind turbines and other wind plant equipment. The report provides a list of the data needed to support reliability and availability analysis, and gives specific recommendations for a Computerized Maintenance Management System (CMMS) to support automated analysis. This data collection recommendations report was written by Sandia National Laboratories to address the general data requirements for reliability analysis of fielded wind turbines. This report is intended to help the reader develop a basic understanding of what data are needed from a Computerized Maintenance Management System (CMMS) and other data systems, for reliability analysis. The report provides: (1) a list of the data needed to support reliability and availability analysis; and (2) specific recommendations for a CMMS to support automated analysis. Though written for reliability analysis of wind turbines, much of the information is applicable to a wider variety of equipment and a wider variety of analysis and reporting needs.

Authors:
; ;
Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
USDOE
OSTI Identifier:
985499
Report Number(s):
SAND2009-4184
TRN: US201016%%2198
DOE Contract Number:
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; AVAILABILITY; MAINTENANCE; MANAGEMENT; RECOMMENDATIONS; RELIABILITY; SANDIA NATIONAL LABORATORIES; WIND TURBINES; Wind turbines.; Wind power-Research.

Citation Formats

Peters, Valerie A., Ogilvie, Alistair, and Veers, Paul S. Wind energy Computerized Maintenance Management System (CMMS) : data collection recommendations for reliability analysis.. United States: N. p., 2009. Web. doi:10.2172/985499.
Peters, Valerie A., Ogilvie, Alistair, & Veers, Paul S. Wind energy Computerized Maintenance Management System (CMMS) : data collection recommendations for reliability analysis.. United States. doi:10.2172/985499.
Peters, Valerie A., Ogilvie, Alistair, and Veers, Paul S. Tue . "Wind energy Computerized Maintenance Management System (CMMS) : data collection recommendations for reliability analysis.". United States. doi:10.2172/985499. https://www.osti.gov/servlets/purl/985499.
@article{osti_985499,
title = {Wind energy Computerized Maintenance Management System (CMMS) : data collection recommendations for reliability analysis.},
author = {Peters, Valerie A. and Ogilvie, Alistair and Veers, Paul S.},
abstractNote = {This report addresses the general data requirements for reliability analysis of fielded wind turbines and other wind plant equipment. The report provides a list of the data needed to support reliability and availability analysis, and gives specific recommendations for a Computerized Maintenance Management System (CMMS) to support automated analysis. This data collection recommendations report was written by Sandia National Laboratories to address the general data requirements for reliability analysis of fielded wind turbines. This report is intended to help the reader develop a basic understanding of what data are needed from a Computerized Maintenance Management System (CMMS) and other data systems, for reliability analysis. The report provides: (1) a list of the data needed to support reliability and availability analysis; and (2) specific recommendations for a CMMS to support automated analysis. Though written for reliability analysis of wind turbines, much of the information is applicable to a wider variety of equipment and a wider variety of analysis and reporting needs.},
doi = {10.2172/985499},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 01 00:00:00 EDT 2009},
month = {Tue Sep 01 00:00:00 EDT 2009}
}

Technical Report:

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  • This report addresses the general data requirements for reliability analysis of fielded wind turbines and other wind plant equipment. The report provides a rationale for why this data should be collected, a list of the data needed to support reliability and availability analysis, and specific data recommendations for a Computerized Maintenance Management System (CMMS) to support automated analysis. This data collection recommendations report was written by Sandia National Laboratories to address the general data requirements for reliability analysis of operating wind turbines. This report is intended to help develop a basic understanding of the data needed for reliability analysis frommore » a Computerized Maintenance Management System (CMMS) and other data systems. The report provides a rationale for why this data should be collected, a list of the data needed to support reliability and availability analysis, and specific recommendations for a CMMS to support automated analysis. Though written for reliability analysis of wind turbines, much of the information is applicable to a wider variety of equipment and analysis and reporting needs. The 'Motivation' section of this report provides a rationale for collecting and analyzing field data for reliability analysis. The benefits of this type of effort can include increased energy delivered, decreased operating costs, enhanced preventive maintenance schedules, solutions to issues with the largest payback, and identification of early failure indicators.« less
  • DNV Renewables (USA) Inc. (DNV) used an Operations and Maintenance (O&M) Cost Model to evaluate ten distinct cost scenarios encountered under variations in wind turbine component failure rates. The analysis considers: (1) a Reference Scenario using the default part failure rates within the O&M Cost Model, (2) High Failure Rate Scenarios that increase the failure rates of three major components (blades, gearboxes, and generators) individually, (3) 100% Replacement Scenarios that model full replacement of these components over a 20 year operating life, and (4) Serial Failure Scenarios that model full replacement of blades, gearboxes, and generators in years 4 tomore » 6 of the wind project. DNV selected these scenarios to represent a broad range of possible operational experiences. Also in this report, DNV summarizes the predominant financing arrangements used to develop wind energy projects over the past several years and provides summary data on various financial metrics describing those arrangements.« less
  • Alternative methods for collecting or estimating energy consumption data in the commercial sector are analyzed. The SIC System codes provide the best existing system for developing uniform data. Data analysis in the commercial sector is difficult because a large number of establishments rent space and do not pay for energy consumption directly. The problems of allocating consumption by SIC code within office buildings or shopping malls is addressed in Chapter II along with a discussion of the means, costs, and limitations of such a reporting system. A discussion of costs and problems of developing data from a survey of commercialmore » users is provided in Chapters III and IV. Chapter V discusses improving consumption data by fuel type and data collection on functional end use. Status of state programs is reviewed in an appendix.« less
  • A study was performed to analyze and make recommendations in regard to alternative methods for collecting or estimating energy consumption data in the commercial sector. This task is the continuation of a previous effort that evaluated the current status of data collection procedures and estimating methodologies. These recommendations take the form of modifications of existing systems, formulation of new ones, or proposed modelling schemes. Among the considerations in making these recommendations were the goals of minimizing the burden on the data reporting sources, standardizing the uniformity and quality of data obtained, and funneling all the information to one, central, federallymore » operated processing point. It was concluded that: data currently available on energy consumption in the commercial sector is incomplete, inconsistent, and inadequate for purposes of monitoring changes in consumption levels or impacts of conservation initiatives; data collected from gas and electric utilities is highly distorted due to misclassification of users; the first step in improving the quality of data on commercial energy consumption is by standardizing the classification of end users using a basic system; and the Standard Industrial Classification (SIC) System codes, already widely used, form the best existing system for developing uniform data. Among the recommendations made are: that all public and private utilities with electronic data processing maintain customer consumption and billing records by 4-digit SIC code, that data gathering for fuel oil and coal consumption be improved, and that energy consumption data be compiled for currently underdocumented industries such as restaurants and laundries. (LCL)« less
  • This report presents the results of a study aimed at the identification of fuel consumption by various types of equipment used in highway routine maintenance activities in the State of Indiana. Two basic groups of results are discussed: (1) fuel consumption rates for all possible activity-equipment combinations as well as total fuel consumed per production unit of each activity; and (2) the effect of factors such as location (subdistrict), highway type, and season on fuel consumption. The first group of results will be of direct use to the Indiana Department of Highways (IDOH) in the planning of the annual maintenancemore » program, while the second group will be useful in evaluating the actual fuel use (in the field) by different management units (subdistricts).« less