IN-SERVICE-MONITORING FOR NRMM USING SEMS, PARAMETER AND REPORTING OPTIONS

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IN-SERVICE-MONITORING FOR NRMM USING SEMS, PARAMETER AND REPORTING OPTIONS Ruud Verbeek, Norbert Ligterink 2 nd annual Emission Control Forum for Non-Road Mobile Machinery, Frankfurt, 7 & 8 September 2017

CONTENTS Introduction SEMS measurement system Long term monitoring PROMINENT inlet ships Rail locomotive Conclusions

INTRODUCTION Reference numbers / Emission Factors for IWT Monitoring data In Service Monitoring Alternative certification Tools development Driveline / efficient navigation (Proof of) True average environmental performance http://www.prominent-iwt.eu/ This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 633929

INTRODUCTION Formal In Service Monitoring (EU 2017/655) is only applicable to categories V5 and V6 land based engines In Service Monitoring EU 2017/655 - PEMS SEMS (sensor based) Main Parameters Gas analysers for NOx, HC, CO Exhaust Flow Meter (EFM) NOx/O 2, NH3 sensors Fuel flow / carbon balance Averaging / visualisation Work and CO 2 based windows Long term averaging, binning Work and CO 2 based windows

CONTENTS Introduction SEMS measurement system Long term monitoring PROMINENT inlet ships Rail locomotive Conclusions

SEMS Arese: 135m, ARA + Rhine + Danube Aqua Myra SEMS: Smart Emissions Measurement System NOx, fuel, rpm, temperatures, gps

SEMS MEASUREMENT SYSTEM In-house developed Flexible Connected to TNO database

SEMS MEASUREMENT SYSTEM

FTP NOx, fuel, rpm, temperature, gps Online data server 20 1.8TB Database >50.000 uur data Data processing: Screening Filtering Periodic inspection and calibration of sensors Tables with averaging and visualisation Data access of partners / clients (secured) Data processing tools

SEMS MEASUREMENT SYSTEM SEMS compared to PEMS concentrations R.J. Vermeulen, N.E. Ligterink, et.al. Transport and Air Pollution TAP 2012.

CONTENTS Introduction SEMS measurement system Long term monitoring PROMINENT inlet ships Rail locomotive Conclusions

CALCULATION & PARAMETER OPTIONS calculation options Main parameters NOx in NOx mass flow based on exhaust or air flow Carbon balance method Used in PROMINENT Exhaust concentrations only NOx, CO 2 concentrations Exhaust or inlet air flow Power NOx, CO 2 concentrations Fuel flow (re-calibrated) Power fuel flow Power NOx, CO 2 concentrations g/kwh g/kwh g/kg CO 2 According to EU 2017/655 More practical alternatives for ships Refer to PROMINENT deliverable D5.8: http://www.prominent-iwt.eu/ (end 2017)

PROMINENT Data until December 2016

STANDARD REPORTING FORMAT Exhaust gas temp. g/kwh / power binning Sailing speed and fuel consumption NOx in g/km

REPORTING FORMAT OPTIONS Power binning Container vessel 110m CCNR I + SCR/DPF Non-working Events Working Events

REPORTING FORMAT OPTIONS 1-hour average of NOx and power versus time Engine ~ 1500 kw CCNR I + SCR/DPF Total error of on-board monitoring is quite reasonable: ± 6 to 8% (similar to PEMS) Other options: one day, one week, one month averages versus time

PROMINENT Rhine ships: average emissions 1000-2000 hrs Period: Inland vessels Engine technology Container 110m CCR I + SCR/DPF Container 135m CCR I + SCR Dry Bulk 135m CCR II Max power[kw] 1500 1050 850 NOx [g/kwh] 4.1 5.4 8.6 NOx/CO 2 [g/kg] 6.3 8.2 12.3 NOx [g/km] 171 515 281 CO 2 [kg/km] 27 63 23 Refer to PROMINENT deliverable D5.7 & D5.8 (end 2017): http://www.prominent-iwt.eu/

CONTENTS Introduction SEMS measurement system Long term monitoring PROMINENT inlet ships Rail locomotive Conclusions

LOCOMOTIVE EMISSIONS MONITORING Diesel locomotive: 656 hours of monitoring December 2016- February 2017 Netherlands Nordrhein-Westfalen NOx emissions: Normal operation: 12 g/kg NOx/CO 2 (Comparable Euro I) Idling: 35 g/kg NOx/CO 2

CONTENTS Introduction SEMS measurement system Long term monitoring PROMINENT inlet ships Rail locomotive Conclusions

CONCLUSIONS Continuous monitoring of emissions is possible and useful for many purposes: Insight in long term environmental performance Complementary as low costs alternative to PEMS measurements Non-working events can be separated in several ways The total life span emissions may replace ISM / ISC testing in the future Fuel flow or inlet air flow form excellent alternatives to exhaust mass flow, in order to calculate mass emissions (also for ISC/ISM) Extremely long idle periods with relatively high NOx emissions are seen with rail. This creates a gap between real-world emissions and ISM results.

THANK YOU FOR YOUR ATTENTION Contact: Ruud Verbeek TNO Sustainable Transport & Logistics Ruud.Verbeek@tno.nl Phone: +31 8886 68394 Cell phone +31 6 129 66882

SPARE SHEETS

CALCULATION & PARAMETER OPTIONS Consider alternative to g/kwh for ISM: Monitor NOx/CO 2 ratio based on concentrations only Conversion to g/kg CO 2 with molecular masses: = NO x ppm CO 2 % 10 M NO x M CO2. Plot NOx/CO 2 as a function of engine speed, indicative power or exhaust gas temperature. Determine limit value in g/kg CO 2. Advantages: Stable relation with NOx in g/kwh Less susceptible to errors No amplification of values at low power

CALCULATION & PARAMETER OPTIONS Carbon balance method Following steps: NOx in g/kwh, g/kg CO 2 or g/km

CALCULATION & PARAMETER OPTIONS Power based on fuel consumption Either per engine of for a group of engines P engine = 3600 BSFC mf fuel BSFC LFE = a 1 + 0.1 b mf fuel

DATA PRESENTATION OPTIONS Data checks engine with SCR

ACCURACY ESTIMATION Accuracy estimation (sum of errors 2 ) 0.5 Refer to PROMINENT deliverable D5.7 & D5.8: http://www.prominent-iwt.eu/ (end 2017) ISO 8178 laboratory g/h NOx g/kwh NOx g/kg CO2 On-board monitoring ISO 8178 laboratory On-board monitoring On-board monitoring NOx concentration 2% 2% 2% 2% 2% 02/CO2 concentration 2% 2% 2% calibration gas 2% 2% 2% 2% 2% cross sensitivity NH3, NO/NO2 ratio 2% 3% 2% 3% 3% measuring point NOx inhomogienity 1% 3% 1% 3% 3% pressure sensitivity 2% 2% 2% Engine speed 1% Engine torque /power 2% Engine power Air 2% 2% Fuel flow 4% BSFC/engine efficiency 3% 3% Fuel carbon content 1% 1% 1% Total accuracy ± 4% 8% 5% 7% 6%