R Road traffic emissions in d t ffi i i i Switzerland: Results - - PowerPoint PPT Presentation

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R Road traffic emissions in d t ffi i i i Switzerland: Results - - PowerPoint PPT Presentation

IAC ETH Institute for Atmospheric and Climate Science R Road traffic emissions in d t ffi i i i Switzerland: Results from the Switzerland: Results from the Gubrist tunnel Johannes Staehelin Johannes Staehelin Institute for Atmospheric


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IACETH

R d t ffi i i i

Institute for Atmospheric and Climate Science

Road traffic emissions in Switzerland: Results from the Switzerland: Results from the Gubrist tunnel

Johannes Staehelin Johannes Staehelin

Institute for Atmospheric and Climate Science (IACETH), Swiss Federal Institute of Technology Zürich (ETHZ) U i ität t 16 Universitätstrasse 16 CH-8092 Zürich, Switzerland email: Johannes.Staehelin@env.ethz.ch email: Johannes.Staehelin@env.ethz.ch

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1 Introduction

  • 1. Introduction
  • Road traffic important anthropogenic

source of primary pollutants p y p

  • Emission inventory description:

E EF A Ei = EFi x Aci where: Ei: Amount of emission e e

i

  • u t o e

ss o

  • f compound i (e.g. CO)
  • EFi: Emission factor (e.g. CO emission by

road traffic per 1 km) p )

  • Aci: Activity: road traffic
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SLIDE 3

Overview

2 Road traffic emission models and

  • 2. Road traffic emission models and

tunnel measurements

  • 3. Determination of EFs from road

t l t tunnel measurements 4 Measurements of the Gubrist tunnel

  • 4. Measurements of the Gubrist tunnel
  • 5. Long-term evolution

g

  • 6. Conclusions
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SLIDE 4
  • 2. Road traffic emission models

and tunnel measurements

Road traffic emission model e.g. „Hand book of emission factors (HBEFA)“: Required:- Large number of dynamometric test data (different technologies (e.g. with/without ( g ( g controlled catalysts), fuel (gasoline, diesel), engine size etc ) engine size, etc.)

  • Typical conditions (e.g. high way driving) derived

f t d l i f d t from extend. analysis of on-road measurements

  • Typical (Swiss) vehicle fleet composition

including long-term changes

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Time series of EF (HBEF) Time series of EF (HBEF)

Passenger Car Heavy Duty Delivery Van y y vehicle

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Road tunnel measurements Road tunnel measurements

  • Quantification of road traffic emissions
  • Comparison with road traffic emission models

Comparison with road traffic emission models

  • Evaluation of new technologies, valuable

measurements from the same tunnel (e g measurements from the same tunnel (e.g. Tauerntunnel, Schmid et al., 2001)

  • Advantage: Large collective („real world emissions“)
  • Limitation: Restricted condition (e.g. high way

( g g y driving), difficulties for generalization

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Approach for comparison in this study

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  • 3. Determination of EFs from

road tunnel measurements

  • 1. Calculate EFk,t of compound k of fleet passing

the tunnel during given time interval t g g

dq u C EF

t t k kt ,

∆ =

Where: ∆Ck t: difference in concentration of

s n t

kt

k,t

compound k (exit-entrance); ut: air velocity; d: duration of time interval; q: tunnel cross section; d: duration of time interval; q: tunnel cross section; nt: number of vehicles; s: distance between measurements sites s: distance between measurements sites

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EF for vehicle classes EF for vehicle classes

EFk,t = αk + βk pHDV + εk,t

Where: αk: EF of light duty vehicles (LDV: passenger cars and delivery vans mostly passenger cars and delivery vans, mostly gasoline driven) β EF f h d t hi l (HDV di l βk: EF of heavy duty vehicles (HDV, diesel engine); pHDV: proportion of HDV; ε : random error εk,t : random error

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Data analysis tunnel measurements (NOx)

10 8

EF derived from measurements linear regression

1

6

/ g km h

  • 1

4

EF

2

Linear Regression-Modell

EF EFi = = α + + β pHD pHDV i + + εi

0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

fraction HDV

EF EFi = = α + + β pHD pHDV i + + εi

fraction HDV

Gubristtunnel-Measurements 2002

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SLIDE 11

Example of analysis of measurements of tunnel study (Staehelin et al., 1997): LDV emit more m-ethyltoluene whereas HDV emit more n-decane (triangles include all data, circles only those with vehicle speed >90 km/h and tunnel ventilation u >5.2 m/s

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Statistical analysis Statistical analysis

  • EF for categories based on variability
  • f fleet composition:
  • f fleet composition:
  • Heavy duty traffic forbidden in CH fro

week ends (pHDV very small on weekends but never exceeds 25%) weekends, but never exceeds 25%)

  • Determination of EF of HDV: Limited

precision

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  • 4. Measurements Gubrist tunnel

(close to Zürich, Switzerland)

Tunnel installation: Passively ventilated tunnel, sampling in one tube with two lanes (traffic in one direction, road gradient: 1.3 %)

  • Simultaneous measurements of NOx, CO and t-VOC

x

(regulated) and others (VOCs) at entry and exit site

  • Traffic data from loop detectors (number and speed

Traffic data from loop detectors (number and speed

  • f vehicles and classification in LDV and HDV
  • Wind speed measurements inside the tunnel
  • Wind speed measurements inside the tunnel

Det.: EF(time) of entire vehicle collective

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(Earlier) tunnel studies and HBFA (Earlier) tunnel studies and HBFA

NOx emissions of HDV: tunnel measurements larger than expected from road traffic emission model (HBEFA vs 1999): road traffic emission model (HBEFA, vs. 1999): Plabutsch tunnel (Austria): 1998/99 (Sturm et al., 2001) Gubrist tunnel (Switzerland): Gubrist tunnel (Switzerland): 1993 (John et al., 1999)

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Comparison of Gubrist tunnel EFs with HBEFA (1999), (J h t l 1999 d t f li l t ) (John et al., 1999 - data from license plates)

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  • 5. Long-term evolution

NOx LDV

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Long-term development: NOx HDV g p

x

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Long-term development: CO LDV g p

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Long-term development: t-VOC LDV g p

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VOC measurements from Gubrist tunnel (Legreid et al., 2007)

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VOCs and OVOCs from tunnel studies

  • Only limited data of organic species

available from dynamometric tests y

  • Large uncertainties of EF for different

vehicle classes vehicle classes

  • EF of hydrocarbons strongly decreased
  • ver time for gasoline driven vehicles

(introduction of catalytic converters and (introduction of catalytic converters and further improvements of vehicle technology) technology)

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  • 6. Conclusions
  • Tunnel measurements suitable for

Tunnel measurements suitable for quantification of road traffic emissions

  • Advantage: “Real flight”/disadvantage:

problem of generalization (no cold problem of generalization (no cold start)

  • Simple desgin of experiment

(measurements at entry/exit site fleet (measurements at entry/exit site, fleet composition)

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Conclusions cont.

Pronounced disagreement for NO

  • Pronounced disagreement for NOx

HDV emissions with HBFA (1999)

  • Much better agreement tunnel

measurements with HBEF (2004) Suitable for EF of VOCs

  • Suitable for EF of VOCs
  • Tunnel measurements at same site

Tunnel measurements at same site (Gubrist tunnel): Documentation of success of new vehicle technology