January 31, 2016 ETHOS Kirkland, WA

Transcription

1 DoE SBIR GRANT DE-SC Berkeley Air Monitoring Group University of California, Berkeley EME Systems PI: Michael Johnson January 31, 2016 ETHOS Kirkland, WA Program Name or Ancillary Text

2 2 Winrock & EPA Cook Stoves & Indoor Air 2

3 Project Team Berkeley Air - Michael Johnson: PI - David Pennise: technical/strategic support - Dana Charron: commercialization - Charity Garland: lab/field testing - Bart Holmberg: software development UC-Berkeley - Kirk Smith: Strategic advising - Ajay Pillarisetti: Technical support EME Systems - Tracy Allen: Electronics engineer Universidad del Valle de Guatemala, UC-San Francisco Field testing partners 3

4 Rationale and vision Measuring progress towards environmental and health goals needs is fundamental for the household energy sector. Better tools for monitoring and evaluation in the field identified as a need at 2010 DOE Clean Cookstoves R&D Technical Meeting. Durable, user-friendly, portable/lightweight, and inexpensive technologies for measuring key parameters. Platform for Integrated Cookstove Assessment response to this need. Consists of a suite of measurement devices and software specifically for application in the household energy sector. 4

5 Particle and Temperature Sensor - PATS+ PM sensing unit Sharp, LED-based light-scattering chamber Adjustments provide extended measurable range (50,000+ µg/m 3 ) 1-min LoD of <10 µg/m 3 USB communications SD memory storage 48+ hours on internal battery (weeks+ with external USB) Records temperature, relative humidity Optional additional sensors (CO and movement) 5

6 Lab test correlation with DustTrak 6

7 Beijing ambient air test 7

8 Tracking with the US Embassy Monitoring Station (E-BAM) 450 US Embassy, E-BAM BUCT, DustTrak (μg/m 3 ) US Embassy E-BAM DustTrak PATS+A PATS+B PATS+C BUCT, PATS+ Photoelectric Response (Δmv)

9 450 DustTrak (μg/m 3 ), PATS+ (ΔmV) PATS+A vs DustTrak PATS+A vs PATS+B Linear (PATS+A vs DustTrak) Linear (PATS+A vs PATS+B) y = 2.79x R² = y = 1.06x R² = PATS+ (ΔmV) 9

10 El Campo? Guatemala 10

11 Good correlation with gravimetric measures Gravimetric Reference PM2.5 (µg/m3) y = 1.50x R² = PATS+ PM 2.5 estimate 11

12 Personal Sampling? China AIRBORNE STUDY 12

13 Personal and Kitchen Sampling DustTrak Kitchen PATS+ Kitchen PATS+ Personal Personal PM2.5 (ug/m^3) Kitchen PM2.5 (ug/m^3) Minutes

14 Stove use monitoring Measuring different stove types Maxim ibutton Infrared sensor ksums 14

15 ksums usage estimates Δ Temperature ( C) New stove Trad Stove 15

16 Stove use and air quality Laos - Integrating stove usage and 6 air quality measurements can help determine impact of 4 specific stoves and stove 2 stacking on air quality. 0 PM (mg/m 3 ) 10 8 Uganda Particulate matter New stove is on Traditional stove is on 16

17 Software Development Instrument management Real-time display Diagnostics, launch, download, calibrate Data management/analysis Updated signal conversion algorithms (e.g. millivolts to particulate concentration and temp to stove usage). Basic summary statistics Integrated usage and air quality measurements Grouping levels to facilitate analysis Platforms Full PC version (Windows) Mobile instrument management version (Android) 17

18 Next steps Phase II grant ends March 2015 Remaining tasks Updated PATS+ enclosure Software debugging User interface polishing User guides/videos Commercialization activities (marketing, pricing, copyright SW, branding, etc..) PATS+ performance publication Upcoming projects with PICA/PATS+ in Ethiopia, China, and Argentina 18

19 Thanks! Michael Johnson 19