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UC Davis Status Report to IMPROVE Steering Committee Nicole Hyslop and Chuck McDade Crocker Nuclear Laboratory University of California, Davis Presented.

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Presentation on theme: "UC Davis Status Report to IMPROVE Steering Committee Nicole Hyslop and Chuck McDade Crocker Nuclear Laboratory University of California, Davis Presented."— Presentation transcript:

1 UC Davis Status Report to IMPROVE Steering Committee Nicole Hyslop and Chuck McDade Crocker Nuclear Laboratory University of California, Davis Presented at Cape Romain, SC October 15, 2014


3 Lake Tahoe Community College (LTCC1), CA, February 2014 LTCC1 1935 m BLIS1 2130 m

4 Lake Tahoe Community College Campus (LTCC1)

5 Data Submittal Status Data have been reported through December 2013 Currently validating January and February 2014 – Estimated delivery: October 24 th 2005-2009 data re-submittal – Estimated delivery November 30 th – Making sure 2005-present data use consistent formulations XRF analysis is now caught up to within a month of filter shipment

6 Lag Time for XRF Analysis Decreasing

7 Data Resubmittal: 2005-2013 TOR artifact corrections by field blanks (FB), not backup (secondary) filters – Data Advisory will be submitted Calculates filter light absorption (Fabs from HIPS) using new calibration algorithm. Replaces LRNC Applies corrected temperature equation to calculate flow rates (usually <1% change) Corrects flow rates for some low-concentration samples incorrectly flagged as clogged (CL) New formulations for uncertainty and MDL based on collocated measurements – Data Advisory will be submitted


9 2013 Sample Recovery (All channels, ABCD) PeriodABCD A channel only Q192% 95% Q2 93%95% Q3 93%95% Q4 86%86% *gov’t shutdown 201391%93% For reference 201291%94% 201191%93%

10 Reasons for Sample Losses Breakdown of 9% lost samples (ABCD): – 19%Equipment problems – 24%Operator no-show – 19%Power outages – 14%Incorrect filter cassette installation – 7%Torn or damaged filter – 1%Clogged filter – 16%Offline (mostly due to govt. shutdown)

11 Lightning Damage # and dates of equipment shipments following electrical storm activity since 2007 for sites with more than two incidents of equipment damage 11

12 Regional Haze Rule (RHR) Completeness Criteria RHR requires for all modules: – >75% annual recovery – >50% recovery in each quarter – <11 consecutive missed samples Number of Sites failing RHR completeness criteria – 200813 sites – 200911 sites – 20109 sites – 20117 sites – 2012 6 sites – 20135 sites Best in recent history – Party!!! – 2014 Goal is <5 sites, none lost as of October 2014

13 Sites Not Meeting RHR Criteria 2013 Cape Romain, SC (IMPROVE) – Failed consecutive criterion – Equipment problems plus government shutdown Lostwood, ND (IMPROVE) – Failed quarter, annual, and consecutive criteria – Equipment problems confounded by late box returns – Failed in 2011 & 2012 for similar reasons San Pedro Parks, NM (IMPROVE) – Failed annual criterion – Missed sample changes, incorrectly installed samples, and power outages Gates of the Arctic, AK (Protocol) – Failed quarter, annual, and consecutive criteria – Site operator quit unexpectedly Haleakala Crater, HI (Protocol) – Failed annual criterion – Power outages, missed sample changes, and equipment problems

14 Quarterly Site Status Reports E-mailed to 300+ recipients at the end of each calendar quarter – Added primary and secondary operators this year Motivates operators to call UC Davis No site has failed the RHR criteria in 2014 yet 14

15 Sampler Electronics Redesign Current sampler electronics are 15 years old Pressure sensors have been discontinued – Solution: Digital Sensors - smaller, more flexible Electrical noise - unshielded signals, long transmission distances – Solution: Digital sensors and transmission - immune to noise and degradation Limited display size forces cryptic messages to operators – Solution: Opportunity for larger display, improved GUI for operators “Sneakernet” shipping of physical data cards with sampling supplies results in 3-4 week delay before problems are detected – Solution: Cellular and satellite data transmission to receive performance data in real time 15

16 Sampler Electronics Redesign Design Features Maximize reuse of hardware to minimize cost – Repackaging new sensor electronics in module electronics form-factor allows reuse of existing module hardware Digital sensors and signal transmission – Data collection at point of measurement – Sensor outputs pressure (inches H 2 O), simplifies sensor acceptance testing – Eliminates potential for induced electrical noise on signal Real-time status data communication capability – Cellular/Satellite Data Modem – Send sampler health status and (possibly) flow data back to UCD on a daily basis 16

17 Digital Transducer Prediction of Flow from ∆P Cyclone Measurement Digital sensor output, 1% F.S. accuracy Calculation based on calibration at home Accounts for ambient pressure and temperature Comparison to Audit Device, 2% specified accuracy Average abs error: 1.2% Standard deviation: 1.5%

18 Sampler Electronics Redesign Status Module electronics boxes (eboxes) – First prototype boards complete – Data acquisition code complete – Tested in field in 2014 Controller – Currently testing CAN bus communications in two different platforms – Choice will be made this month, then boards will be developed – Expect deployments for field testing during the Summer 2015 Firmware Development – Will be performed in conjunction with controller hardware development – Expect phased releases with new features added with each release 18

19 Ebox variability at 23lpm Data grouped by site to standardize ambient conditions

20 Sampler Electronics Redesign Timeline 2014 20 Phase I: Sensor Concept and SelectionApril – Nov 2012 Phase II: Module EBox Prototyping & TestingOct 2012 – Aug 2013 Phase III: EBox Mechanical and Electrical DesignJune 2012 – Aug 2013 Phase IV: EBox Firmware DevelopmentOct 2013 – Aug 2014* Phase V: Controller PrototypingAug 2014 – Oct 2014 Phase VI: Controller Mechanical & Electrical Design Oct 2014 – Jan 2015 Phase VII: Controller Firmware DevelopmentNov 2014 – Sept 2015 Phase VIII: Initial Evaluation DeploymentsJune 2015 onward Phase IX: Sat./Cellular Radio DevelopmentSept 2015 onward

21 Flow Rate Measurement Motivation: PM 10 flow rate measurement is insensitive – Sometimes hard to tell if flow is on or off Flow measurement redesign - decided on fixed critical orifices During testing, realized that fixed orifices offer another advantage – fixed calibration for flow rate – May install fixed orifices in all modules – Has potential to improve data quality and reduce maintenance time 21

22 Ruby Orifice Installation 0.062” diameter sharp-edge ruby critical orifices installed in PM 10 modules during 2014 maintenance (half of sites now have ruby orifices) Provides fixed parameter for flow equation, independent of valve setting Allows prediction of flow without site-specific calibration Average abs error: 0.99% Standard deviation: 0.87%

23 Ruby Orifice Setup Provides More Sensitive Flow Measurement

24 Laboratory Management Explored commercial software but most LIMS were too complicated, too expensive, and lacked the necessary functionality Replaced Foxpro-based lab management software with C#-based desktop application – New software put into production in August 2014 – No serious bugs encountered during transition period – Currently working on Lab App Version 1.5 with additional features to manage filter shipments and archiving 24

25 Lab App Version 1.0

26 Ticketing Software Implemented a commercial ticket management system for tracking operator interactions and equipment repairs. – Promotes better communications among group – Provides more transparency for communications – Reminders to follow up on repairs with operators

27 QAPP Revised in 2014 First revision since 2002 Incorporates current organizational structure and operating procedures Shorter than 2002 QAPP; references details in SOPs – Provides an overview of the program without the inclusion of technical details – Technical details can be revised in the SOPs without the need to revise the QAPP

28 New Resin for Pall PTFE filters

29 New Filter Resin Pall Corporation can no longer obtain the raw materials from the same vendor to manufacture our PTFE filters We currently have enough old-resin filters to last through mid-2016 The new-resin filters have different physical and chemical characteristics We are working with Pall to get filters that meet our specifications

30 New Resin Tests 4% drop in flowrate Elemental contamination exceeds our acceptance limits for Al, Si, Cl, K, Ca, Cr, Cu, Zr, Pb HIPS acceptance limits are exceeded for transmittance and reflectance. New filters are too optically thick and too glossy. FTIR spectra have a very different appearance Matrix codes are difficult or impossible to read

31 UC-Davis Planned Operational Changes 2013-2014 – New laboratory management software – Enhanced automation of PANalyitcal Epsilon 5 XRF instruments – In-field testing of new sampler electronics 2014-2015 – Deployment of new PM 10 flow rate measurement – Deployment of new sampler electronics – New data validation, processing & delivery software – Temperature & RH control for weighing chamber In my dreams – Pre-cut inlets for PM 2.5 cyclone cut-point irregularities – Automated weighing system 31

32 UC-Davis Planned Operational Changes 2014-2015 – Laboratory management software Version 2.0 – Complete development of sampler controllers – In-field testing of new sampler controllers – Deployment of new PM 10 flow rate measurement – Data processing & delivery software Version 1.0 – Temperature & RH control for weighing chamber 2015-2016 – Deployment of new sampler electronics – Deploy BITS for routine analysis – Data processing & delivery software Version 2.0 – Open ticketing system to site operators – Develop data dashboard for each site 32

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