ESPOO 2005 VTT WORKING PAPERS 18 On the reliability of fire detection and alarm systems Exploration and analysis of data from nuclear and non-nuclear installations Teemu Nyyss(cid:246)nen, Jaana Rajakko & Olavi Keski-Rahkonen VTT Building and Transport ISBN 951(cid:150)38(cid:150)6569(cid:150)X (URL: http://www.vtt.fi/inf/pdf/) ISSN 1459(cid:150)7683 (URL: http://www.vtt.fi/inf/pdf/) Copyright ' VTT 2005 JULKAISIJA (cid:150) UTGIVARE (cid:150) PUBLISHER VTT, Vuorimiehentie 5, PL 2000, 02044 VTT puh. vaihde 020 722 111, faksi 020 722 4374 VTT, Bergsmansv(cid:228)gen 5, PB 2000, 02044 VTT tel. v(cid:228)xel 020 722 111, fax 020 722 4374 VTT Technical Research Centre of Finland, Vuorimiehentie 5, P.O.Box 2000, FIN(cid:150)02044 VTT, Finland phone internat. +358 20 722 111, fax +358 20 722 4374 VTT Rakennus- ja yhdyskuntatekniikka, Kivimiehentie 4, PL 1803, 02044 VTT puh. vaihde 020 722 111, faksi 020 722 4815 VTT Bygg och transport, Stenkarlsv(cid:228)gen 4, PB 1803, 02044 VTT tel. v(cid:228)xel 020 722 111, fax 020 722 4815 VTT Building and Transport, Kivimiehentie 4, P.O.Box 1803, FIN(cid:150)02044 VTT, Finland phone internat. +358 20 722 111, fax +358 20 722 4815 Technical editing Marja Kettunen Published by Series title, number and report code of publication VTT Working Papers VTT(cid:150)WORK(cid:150)18 Author(s) Nyyss(cid:246)nen, Teemu, Rajakko, Jaana & Keski-Rahkonen, Olavi Title On the reliability of fire detection and alarm systems Exploration and analysis of data from nuclear and non-nuclear installations Abstract A literature review of reliability data of fire detection and alarm systems was made resulting to rough estimates of some failure frequencies. No theoretical or technical articles on the structure of reliability models of these installations were found. Inspection records of fire detection and alarm system installations by SPEK were studied, and transferred in electronic data base classifying observed failures in failure modes (59) and severity categories (3) guided by freely written records in the original data. The results of that work are presented without many comments in tabular form in this paper. A small sample of installations was collected, and number of components in them was counted to derive some distributions for determination of national populations of various components based on know total amount of installations. From NPPs (Loviisa, Olkiluoto and Barseb(cid:228)ck) failure reports were analysed, and observed failures of fire detection and alarm systems were classified by severity and detection mode. They are presented here in tabular form for the original and new addressable systems. Populations were counted individually, but for all installations needed documents were not available. Therefore, presented failure frequencies are just first estimates, which will be refined later. Keywords fire detectors, fire alarm systems, failures Activity unit VTT Building and Transport, Kivimiehentie 4, P.O.Box 1803, FIN(cid:150)02044 VTT, Finland ISBN Project number 951(cid:150)38(cid:150)6569(cid:150)X (URL: http://www.vtt.fi/inf/pdf/) Date Language Pages January 2005 English 62 p. + app. 6 p. Name of project Commissioned by Finnish Centre for Radiation and Nuclear Safety, Ministry of Trade and Industry, Fortum Engineering Ltd, Teollisuuden Voima Oy Series title and ISSN Publisher VTT Working Papers VTT Information Service 1459(cid:150)7683 (URL: http://www.vtt.fi/inf/pdf/) P.O. Box 2000, FIN(cid:150)02044 VTT, Finland Phone internat. +358 20 722 4404 Fax +358 20 722 4374 Preface This study was carried out as a part of the Fire Safety Research project (FISRE) which is one of the projects in the Finnish Research Programme on Nuclear Power Plant Safety (FINNUS). The study has been financed by the Finnish Centre for Radiation and Nuclear Safety, the Ministry of Trade and Industry, Fortum Engineering Ltd, and Teollisuuden Voima Oy. Material and immaterial deliveries from SPEK, as well as information on buildings and building fire protection devices by a considerable number of people made these studies possible. We are indebted to Mr. Yasuaki Hagimoto, National Research Institute of Police Science, Japan, for supplying Japanese reliability information articles. 4 Contents Preface...............................................................................................................................4 1. Introduction..................................................................................................................9 2. Fire detection and alarm systems...............................................................................11 2.1 Description of the systems................................................................................11 2.2 Reliability modelling of the systems................................................................13 2.3 Probability distributions...................................................................................18 2.4 Calculation of failure frequencies of fire detection and alarm systems and system components...........................................................................................19 3. Literature survey on reliability of fire detection and alarm systems.........................21 3.1 Numerical values of failure rates and related properties of fire detection and alarm systems...................................................................................................21 4. Population and physical size of fire alarm system installations................................27 4.1 Population of fire alarm system installations...................................................28 4.1.1 Protected floor area in sampled buildings with fire alarm...................28 4.1.2 Fire detector density.............................................................................29 4.1.3 Distribution of device circuits and detectors in non-nuclear installations..........................................................................................30 4.1.4 Installation age distribution in the sample of buildings.......................32 4.2 Fire alarms systems in NPPs............................................................................33 4.2.1 Distribution of device circuits in NPPs................................................35 4.2.2 Distribution of cable length in NPPs....................................................35 5. Non-fire failure statistics............................................................................................37 5.1 Non-nuclear installations in Finland................................................................40 5.2 Non-fire failures in nuclear power plants.........................................................45 5.2.1 Number of failures by categories and plants........................................45 5.2.2 Details on critical failures....................................................................47 5.3 Inspection time interval distribution.................................................................51 6. Estimation of component failure rates.......................................................................52 6.1 Failures of fire alarm heads..............................................................................52 6.2 Failures of cabels..............................................................................................53 6.3 Failures of manual initiating devices................................................................54 5 7. Discussion and conclusions.......................................................................................55 8. Summary....................................................................................................................57 References.......................................................................................................................58 Appendices Appendix A: Detailed lists of system properties 6 List of symbols a Parameter in a distribution A Floor area of a building or part of it [m2] A Constant in equations containing floor area of a building or part of it [m2] 0 b Parameter in a distribution BWR Boiling water reactor c Normalisation coefficient in a distribution f Frequency of fires [1/a] FMEA Failure mode and effect analysis FSAR Final Safety Analysis Report F(x) Cumulative of a distribution of stochastic variable x M Number of counts of an object within limited bounds n Number of sprinkler heads, value of a discrete stochastic variable N Number of demands, number of observations in a sample NPP Nuclear power plant p Probability value P Probability function, potential loss PWR Pressurized water reactor SPEK Suomen pelastusalan keskusj(cid:228)rjest(cid:246) [Finnish Fire Protection Association] SVK Suomen Vakuutusyhti(cid:246)iden Keskusliitto [Federation of Finnish Insurance Companies] 7 T Stochastic time variable TUKES Turvatekniikan keskus [Finnish Safety Technology Authority] UPS Uninterruptable power supply X General stochastic variable x Value of a general stochastic variable x Parameter in Weibull or lognormal distribution 0 z Quantile of a cumulative distribution α Parameter in Weibull or lognormal distribution β Parameter in Weibull or lognormal distribution λ Failure rate in a distribution, [1/a] ν Number of degrees of freedom 8 1. Introduction In the Finnish nuclear research program FINNUS the general goal of fire project FISRE was to develop fire risk analysis further towards full and quantitative living PSA. A special emphasis was placed to improve calculation tools used to support PSA-analyses. This goal was approached on three fronts: (a) experiments and modelling on hardware, (b) software development and assessment, as well as (c) processing of statistical information (Keski-Rahkonen 2000, 2002). Project FISRE was organised into three subprojects the titles of which cover roughly the fronts mentioned above. The last of them was ’active fire protection equipment’, which was further divided into two parts: reliability of (1) fire detection and (2) sprinkler extinguishing systems. This task concentrated on front (c). Laborious data mining and population counting of the task was carried out in two master’s theses (Nyyss(cid:246)nen 2002, Rajakko 2002). This paper analyses further the data obtained, and summarises the state of art of this project, which as a scientific and technical problem needs further efforts. A short history on the development of fire-PSA methods was given on the final report on sprinklers in FISRE-project (R(cid:246)nty et al. 2004). Rather much of statements given there on the general reliability modelling and statistical analyses of sprinkler installations apply as well on fire detection and alarming systems. Fire detection and alarming systems are considered effective means of automatic information of potential fire spread in industrial buildings. Surprisingly, their effectiveness in terms of reliability theory is not very well established in scientific sense, since reliable data on the performance are very limited. The existing references are either obsolete (Kingswell 1972, Sayers 1972, Watanabe 1979, Moliere 1982, Krasner et al. 1985, Finucane & Pinkney 1989), of limited utility for a real system design (T-Book 1992, OREDA 1992) or both (WASH-1400, 1975; McCormick 1981, Green 1982). Ramachandran showed indirectly the reliability of fire alarming systems by studying statistically fire losses in different premises in UK (Ramachandran 1980, 1981a,b, 1992, 1993, Ramachandran & Chandler 1984). His recent monograph (Ramachandran 1998) summarises these demonstrations on the value of fire detection and alarming systems. Despite these economical assurances from system reliability point of view it is not sufficient to know, that fire alarming system decreases fire losses. During the system design phase quantitative analysis of system availability performance can be used to identify and quantify both components dominating the risk and components with marginal impact on system availability. Both of these foundations are potential targets for system re-design. However, availability analysis of any technical system calls for 9 component or at least sub-system level information about failure frequencies and down times. Ramachandran (1999) also presented a model of false alarm discrimination in a very simple system. Bukowski et al. (1999) has presented a review of fire protection systems but do not present much new data. The purpose of the present study is to carry out a kind of failure mode and effect analysis (FMEA) of detection and alarming systems starting from the component level ("the bottom-up approach") (Hłyland & Rausand 1994). The scope is preliminary data analysis of these systems in Finnish nuclear power plants by studying relevant collected maintenance reports from their whole lifetime. Since the studied population is very small, probability to observe rare events from such material is still rather small, the population of components was enlarged in two other directions: (i) a Swedish nuclear power plant, and (ii) Finnish non-nuclear fire detection and alarming systems installations, which might be different from nuclear applications, but as a much larger population offer still a relevant reference. 10
Description: