Project DUNAMET no. D36 Tomáš Valenta Czech Metrology Institute.

Slides:



Advertisements
Similar presentations
SP Sveriges Provnings- och Forskningsinstitut Euromet project 691 Calibration Inter- comparison of a 5-litre volume glass standard P. Lau.
Advertisements

ULTRASONIC WATER AND FLOW METERS
A Method for Verifying Traceability in Effective Area for High Pressure Oil Piston-Cylinders Michael Bair Director of Metrology-Pressure Fluke Calibration.
General Statistics Ch En 475 Unit Operations. Quantifying variables (i.e. answering a question with a number) 1. Directly measure the variable. - referred.
Accuracy and Precision. Accuracy O refers to how close a measured or calculated value is to the correct or accepted value of the quantity measured O the.
SONOTHERM SN30X0 ELIS PLZEŇ a. s., Luční 15, Plzeň, Czech Republic 1.
Selection of measuring instruments
Basic Measurement Concepts ISAT 253 Spring Dr. Ken Lewis Mod. 2 Measurement Concepts So far… In the Design of Experiments In the Design of Experiments.
1 STATISTICS!!! The science of data. 2 What is data? Information, in the form of facts or figures obtained from experiments or surveys, used as a basis.
Company Presentation Es90525K. Shortly about history Company foundation: March 1990 Transformation to Limited company: March 1991 Transformation to Joint.
Chapter 15 Demand Management & Forecasting
Numerical methods in flow metrology Sampo Sillanpää, Centre for metrology and accreditation.
1 On Rate for Fuel Oil Equipment. 2 Purpose To insure that the equipment is delivering the correct heating value Oil fired equipment must fire within.
STATISTICS!!! The science of data. What is data? Information, in the form of facts or figures obtained from experiments or surveys, used as a basis for.
1 The availability, timeliness and quality of rapid estimates UNCTAD experience Henri Laurencin INTERNATIONAL SEMINAR ON TIMELINESS, METHODOLOGY AND COMPARABILITY.
Inflation Report November Output and supply.
Uncertainty & Error “Science is what we have learned about how to keep from fooling ourselves.” ― Richard P. FeynmanRichard P. Feynman.
CIML 2012 CECIP Report. October 2012 CECIP Activity Report for CIML 2012 Veronika Martens, President CECIP LMG Page 2 About CECIP: Members are 15 national.
Quality control of daily data on example of Central European series of air temperature, relative humidity and precipitation P. Štěpánek (1), P. Zahradníček.
STATISTICS!!! The science of data.
Mean: The AVERAGE values of a set of numbers. The mean is found by ADDING all of the values, then DIVIDING by the number of values in the set of data.
Comparing mean and median measures of central tendency.
Quality management, calibration, testing and comparison of instruments and observing systems M. Leroy, CIMO ET on SBII&CM.
INTERCOMPARISON BETWEEN RA VI ( France, ) AND RA II (Australia) REGIONAL INSTRUMENT CENTRES ENVIRONMENTAL AGENGY OF THE REPUBLIC OF SLOVENIA Slovakia,
AP STATISTICS Section 4.1 Transforming to Achieve Linearity.
Uncertainties and errors
Euromet-meeting in Thessaloniki - March FORCE Technology Building up a high-pressure loop in FORCE Technology Historic: The investment.
Experiment 6: Rankine Cycle Yvette Triay Reporter Group 3.
Uncertainty and error in measurement
All-Russia D.I. Mendeleyev Scientific and Research Institute for Metrology (Vniim) (FGUP "D.I.Mendeleyev VNIIM") Konstantin Popov
Progress Report of NPLI Fluid Flow Measurement Standards Activity ( ) Shiv Kumar Jaiswal Senior Scientist Fluid Flow Measurement Standards (Apex.
1 Key Comparison CCM.FF-K6b Comparison of the Primary (National) Standards of Low Pressure Gas Flow WGFF meeting, June, 19, 2012, Colorado Springs, USA.
Indicate the length up to one estimated value…. A. B. C.
APMP TCFF Country Report CMS/ITRI, Chinese Taipei Chun-Min Su, Ph.D. Dec. 5, 2011 Kobe, Japan.
APMP TCFF Workshop Nov. 22, Investigation on calibration of fuel ethanol flow meters Takashi Shimada, Ryouji Doihara, Noriyuki Fuiichi, Yoshiya.
2002 NCSL International Workshop and Symposium August 8, 2002San Diego, CA National Institute of Standards and Technology Technology Administration, U.S.
Scales of Measure SW measure in SI; determine the percentage of error.
APMP TC Fluid Flow Initiative Project Traceability Scheme Study for LPG Metering Final Report at APMP 2012 TCFF Meeting Chun-Min Su CMS/ITRI, Chinese Taipei.
Sartorius Volume Comparator VD1005 A new Method for highly accurate Density Determination Benno Gatzemeier, Market Manager Mass Metrology, Sartorius AG.
MEASURE OF CENTRAL TENDENCY. INTRODUCTION: IN STATISTICS, A CENTRAL TENDENCY IS A CENTRAL VALUE OR A TYPICAL VALUE FOR A PROBABILITY DISTRIBUTION. IT.
NATIONAL MEDIA VISITS Visits for print, radio, agency media during LS1 April April 2014 Hello, In order to reply to the huge amount of visit requests.
Physics and Physical Measurement
Business Decision Making
Part 3 LABTQ /LABNET. Technical experience with testing ECO design parameters 20 years of Round Robin test on boilers and collaboration in LABNET/LABTQ.
ISSUE OF SHOCK COMPRESSION AND EXPANSION BY DISPLACEMENT COMPRESSORS
Uncertainties in the RAINS cost estimates
Measurement Uncertainty and Traceability
Relative Values.
SOCIAL NETWORK AS A VENUE OF PARTICIPATION AND SHARING AMONG TEENAGERS
20 years of Round Robin test on boilers
Lab Report MENG Tao Tsukuba 20,Oct.,2011
ICHS - October 2015 Jérôme Daubech
Welcome to IRSC’s LIVE Virtual Lesson on:
Measures of Central Tendency & Range
DO NOW: 1)What are the four variables used to describe a gas
Final Grade Averages Weighted Averages.
By : M. Dlamini D. Jonker E. P. Tarnow
Uncertainty (error) in praticals
REPORT OF RECENT ACTIVIES
Cardiovascular System
TC-Flow 2014/2015 Activities and Highlights
Status Report of the CCM KCs
Progress Report of APMP.M.FF-K2b
E. Papanikolaou, D. Baraldi
Descriptive Statistics
Statistical reasoning vocabulary review
HMC-4 Meeting 15th May 2018 London
Measurements & Error Analysis
USING DATA Obj
Presentation transcript:

Project DUNAMET no. D36 Tomáš Valenta Czech Metrology Institute

Project DUNAMET no. D36 the inter-comparison among Czech Republic (CMI) Austria (BEV) Hungary (OMH) and Slovak Republic (SMU) took place from May 2004 to August 2004 the inter-comparison of low pressure test facilities for gas meters in the range from 100 m 3 /h to 1000 m 3 /h

Project DUNAMET no. D36 The axial turbine gas meter G650 was used for the comparison. Manufacturer: PREMAGAS (ELSTER –AMCO Group) Type: DAE Size: G650 DN150

Project DUNAMET no. D36 Calibration procedure: The turbine gas meter G650 was tested in each laboratory by air in horizontal position. It was necessary to use the upstream straightening pipe that was long at least 5x DN and the downstream straightening pipe that was long at least 3x DN. The reference pressure from the turbine gas meter was measured from the output “p r ”.

Project DUNAMET no. D36 The reference temperature from the turbine gas meter was measured in the distance (2  3)x DN downstream of the turbine gas meter. The HF pulse emitter A1S (the pulse number 4579,88 pulses/m 3 ) was used for the tests. The calibration had to be performed in the laboratory where the temperature was from 19,5°C to 23,5°C. No oil lubrication was used.

Project DUNAMET no. D36 The turbine gas meter was tested in 8 flow rates: 1000 m 3 /h, 800 m 3 /h, 650 m 3 /h, 500 m 3 /h, 400 m 3 /h, 300 m 3 /h, 200 m 3 /h, 100 m 3 /h. Error of the meter was determined. The Error is value which shows the relationship in percentage terms of the difference between the volume indicated by the meter and the volume which has actually flowed through the meter, to the later value. where E is the error of the meter V i is the indicated volume by the meter (m 3 ) V c is the real volume which has actually flowed through the meter (m 3 )

Project DUNAMET no. D36 Determination of the reference value To determine the reference value tree different approaches were used. Mean : Mean is the arithmetic average of a set of numerical data. Median: Median is the middle value of an ordered set of numerical data. Weighted mean error (WME): If in a series of observations a statistical weight (1/u 2 ) is assigned to each value, a weighted mean y can be calculated by the formula: where x i are values of errors of meter in different laboratories in one flow rate u (x i ) are uncertainties U(k=2) of errors of meter in different laboratories in one flow rate

Project DUNAMET no. D36 Results: Flow rate in the meter MeanMedianWeighted mean error (WME) m³/h%% ,17-0,14-0, ,030,01-0, ,010,050, ,020, ,03-0,04-0, ,03-0,05-0, ,150,120, ,930,910,93

Austria (BEV) Project DUNAMET no. D36

Hungary (OMH)

Slovak Republic (SMU) Project DUNAMET no. D36

Czech Republic (CMI) Project DUNAMET no. D36

Conclusion: All participants were successful. All determined errors of meter with their uncertainties U(k=2) in every flow rate cover the reference values Mean, Median and Weighted Mean Error.

New EUROMET project THIS PROJECT CAN BE REPEATED AMONG EUROMET COUNTRIES IN Note: I would like to coordinate quick and simple inter- comparison. That is why the supposed time to make calibration and to deliver the meter to next laboratory will be only 1 week. The form „PROPOSED EUROMET PROJECT“ will be sent to everybody by .

Please don´t applause because Mr. Lojek is sleeping. Thank you for attention.