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MODELING SCENARIOS: LOMBARDY AND TRENTINO PROVINCE CASE STUDIES

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MODELING SCENARIOS:

LOMBARDY AND TRENTINO PROVINCE CASE STUDIES

01.12.2020 | Project Meeting WPT5 modeling simulations

BB-CLEAN | CISMA srl – Elena Tomasi, PhD

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WRF-Chem

National/regional scale from 12 km to 4 km

Input Data

ERA5 ECMWF reanalysis

WRF

Up to 1.3 km resolution Input Data

ERA5 ECMWF reanalysis

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Vezza d’Oglio Case Study:

Status quo

Monthly PM10 average concentration on January 2020

Daily PM10 average concentrations on January 2020

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Scenario A1

Replacement of 50% of old

wood burning stoves/boilers

with latest pellet stoves/boilers

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Scenario A2

Replacement of 100% of old wood burning stoves/boilers with latest pellet stoves/boilers

Percentage variation of average PM10 concentration

Average concentration 3-hourly daily cycle Critical events CO2 flux (domain)

neutral

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Scenario B1

Best practices for domestic BB causes 20% drop in emissions

from all wood biomass

appliances

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Scenario B2

Best practices for domestic BB causes 40% drop in emissions

from all wood biomass appliances

Percentage variation of average PM10 concentration

Average concentration 3-hourly daily cycle Critical events CO2 flux (domain)

neutral

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Scenario C

Replacement of 100% of old primary wood burning heating

systems with latest pellet

boilers with ESP

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Scenario D

Transition of all wood biomass appliances to natural gas

boilers

Percentage variation of average PM10 concentration

Average concentration 3-hourly daily cycle Critical events CO2 flux (domain)

+47.4%

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Scenario E

Realization of a centralized

biomass plant district heating

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Scenario F

30% of people with secondary heating systems follows the

BB-CLEAN mobile app indications

Percentage variation of average PM10 concentration

Average concentration 3-hourly daily cycle Critical events CO2 flux (domain)

neutral

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Scenario G

Change of the operational hours of biomass appliances

with heat storage systems

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Storo Case Study: Scenario Summary

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