Overview of the AIRUSE LIFE+ project

Transcription

1 Overview of the AIRUSE LIFE+ project LIFE 11 ENV/ES/ ELISEO MONFORT Final Conference AIRUSE LIFE+, Barcelona 18-19/04/2016

2 B.5 Industrial sources contributions Technical staff from ITC involved in AIRUSE: Dr. Eliseo Monfort, Irina Celades, Tica Sanfelix, Salvador Gomar, Alberto Escrig

3 Results from the receptor model Values in % contributions to 2013 annual mean Area TOTAL* INDUST REG (OC+SO 4 2- ) ntr-no 3 - Shipping PM 10 PM 2.5 PM 10 PM 2.5 PM 10 PM 2.5 PM 10 PM 2.5 PM 10 PM 2.5 POR-TR < 13 < <1 <1 BCN-UB FI-UB < 25 < <1 <1 MLN-UB < 28 < <1 <1 n.a.: not available *Contributions for sources directly/indirectly and totally/partially related with industrial source

4 AIRUSE industrial activity inventory Methodology. Required information Generic information Main industrial activity (IPPC or E-PRTR code) Annual production (kg, tonnes, m 2, ) Type of fuel

5 AIRUSE industrial activity inventory Methodology. Required information Channelled primary PM Process stages: number of point sources Implemented BATs Emission duration (hours/year) Emission temperature Emission volume flow rate (dry basis) Emitted PM concentration BATs maintenance operations

6 AIRUSE industrial activity inventory Methodology. Required information Fugitive primary PM Activities that can generate fugitive emissions Quantity of dusty material handled Distance travelled by trucks inside the company Transport distances on paved and unpaved roads Storage area and amount of stored dusty material Mitigation measures implemented Maintenance of the mitigation measures

7 Primary PM emissions quantification Channelled emissions quantification Methodology 1: Direct emission data for TSP and/or PM10 available from the industrial emissions inventory. BCN and FI. Methodology 2: Calculation of annual TSP emissions from C TSP, flow rate and total hours of annual emission. MLN. Methodology 3: No detailed information was available. PM10 and PM2.5 emissions were calculated from production data, applying emission factors. POR. PM10/TSP and PM2.5/PM10 ratios and emission factors were obtained from the following databases: EMEP/EEA, AP 42 (US-EPA), AUSTRALIA-EPA and IIASA

8 Primary PM emissions quantification Fugitive emissions quantification Methodology: PM10 and PM2.5 emissions were calculated from amount of bulk material handled or production data, applying generic emission factors. Transport of bulk solids has not been considered (30-600g PM10/km) Two handling operations have been considered (1-260g PM10/t) Primary PM fugitive emissions have been underestimated PM10/TSP and PM2.5/PM10 ratios and emission factors were obtained from the following databases: EMEP/EEA, AP 42 (US-EPA), AUSTRALIA-EPA and IIASA

9 BCN-SEPA Population (Minhab.) Study area Area (km 2 ) BCN-SEPA Density (inh./km 2 ) Industrial emission inventory Facilities Methodology ELV-BAT >60 1 Medium-High

10 Primary Industrial PM10 emissions BCN-SEPA Energy sector Production and processing of metals Mineral industry Chemical industry Waste Paper and wood production processing Animal and vegetable products Energy sector Other activities non IED Production and processing of metals Port of Mineral Barcelona industry Chemical industry Waste Paper and wood production processing Animal and vegetable products Other activities non IED Port of Barcelona 11.9% 4.3% 5.4% 10.0% 0.3% 3.1% 2.4% 4.3% 5.4% 10.0% 0.3% 3.1% 2.4% 11.9% 30.8% 31.8% 31.8%

11 Primary Industrial PM2.5 emissions BCN-SEPA Energy sector Production and processing of metals Mineral industry Chemical industry Waste Paper and wood production processing Animal and vegetable products Other activities non IED Port of Barcelona 0.3% 3.1% 2.4% 3.4% 3.6% 1.0% 0.6% 1.0% 1.7% 4.3% 5.4% 10.0% 20.0% 34.0% 34.8% %

12 POR-MA Primary Industrial PM10 emissions Energy sector Production and processing of metals Mineral industry Waste Paper Energy sector and wood production processing Production and processing of metals Animal Mineral industry vegetable products Other Waste activities Paper and wood production processing Port Animal of and Leixoes vegetable products Other activities Port of Leixoes 0.2% 0.2% 4.6% 4.6% 16.8% 16.8% 28.4% 28.4% 18.7% 1.1% 18.7% 2.3% 28.0% 28.0% 1.1%

13 Primary Industrial PM10 emissions FI-AGG Energy sector Production and processing of metals Waste Paper and wood production processing Other activities non IED 1.5% 32.0% 65.1% 0.6% 0.8% Other activities: Concrete manufacturing, silver processing and biomass co-generation plant (<50Mw)

14 Primary Industrial PM10 emissions MLN-AGG Production and processing of metals Mineral industry Chemical industry Waste 28.8% 28.8% 1.4% 41.0%

15 Precursors of secondary PM Total emissions (tonnes/year) Study area PM emissions Gaseous emissions* PM10 PM2.5 NO x SO 2 NH 3 NMVOCs POR-MA BCN-SEPA FI-AGG N/C N/C N/C N/C MLN-AGG N/C N/C N/C: Unquantified *Data from E-PRTR

16 RECOMMENDATIONS Addressed to EU regulatory and technical bodies: EMEP, IPTS, and R&D managers

17 Emission inventories 1. Encouraging efforts to standardise and coordinate baseline information Channelled primary PM Fugitive primary PM Main industrial activity (IPPC or E-PRTR code) Annual production (kg, tonnes, m 2, ) Type of fuel Process stages: number of point sources Activities that can generate diffuse emissions Implemented BATs Quantity of dusty material handled Emission duration (hours/year) Distance travelled by trucks inside the company Emission temperature Transport distances on paved and unpaved roads Emission volume flow rate (dry basis) Storage area and amount of stored material Emitted PM concentration Mitigation measures implemented BATs maintenance operations Maintenance operations of the mitigation measures

18 Emission inventories 2. Extending information to improve transparency Production rate BATs Channelled / fugitive sources Source:

19 Emission inventories 2. Extending information to improve transparency Raw materials handled?? Output rate?? Fuel?? Channelled / fugitive sources?? BATs?? Source:

20 Emission inventories 3. Harmonising key control parameters: air quality, ELVs and E-PRTR DIRECTIVE 2008/50/EC on ambient air quality and cleaner air for Europe (PM10/PM2.5) DIRECTIVE 2010/75/EU on industrial emissions (TSP) HARMONISE REGULATION (EC) 166/2006 concerning the establishment of an European PRTR (PM10)

21 Fugitive emissions 1. Developing and compiling specific PM fugitive emission factors and control efficiencies PORT ACTIVITIES PUBLIC WORKS INDUSTRIAL ACTIVITIES

22 Fugitive emissions 1. Developing and compiling specific PM fugitive emission factors and control efficiencies MAIN GAPS: INDUSTRIAL ACTIVITIES PORT ACTIVITIES A. Most of the inventories do not consider PM fugitive emissions B. Port activities are not included in E-PRTR C. Generic emission factors for industrial activities D. No emission factors in EMEP/EEA for port activities E. Limited information about the efficiency of the best practices PUBLIC WORKS

23 Channelled emissions 1. Developing and compiling specific PM10/TSP and PM2.5/PM10 ratios 2. Regulating maximum temperature in exhaust gases / abatement systems 3. Fostering control of secondary PM precursors and heavy metal emissions

24 RECOMMENDATIONS Addressed to National and/or Regional environmental bodies

25 Primary PM emissions 1. Updating the ELVs adopted in the BREF documents 2. Increasing emission control frequency to ensure proper BATs operation 3. Including real control and quantification of fugitive emissions

26 Gaseous emissions (secondary PM precursors) and heavy metals 1. Quantifying these emissions in greater detail 2. Selecting the cleanest available fuels and/or using controlled combustion systems Source:

27 Regional inventories of PM industrial emissions 1. Periodically updating the list of industrial activities 2. Using a bottom-up approach, including non-ied activities and fugitive emissions Source: 3. Controlling and quantifying shipping, harbour, and public works emissions Source:

28 RECOMMENDATIONS Addressed to stakeholders

29 Awareness-raising activities 1. Organising specific campaigns (workshops, info-days ) for industrial associations, harbour managers, local authorities, health groups, etc 2. Involvement of stakeholders can greatly increase emission inventories accuracy

30 Thank you for your attention