The indices in the MICATool

The MICATool assesses Multiple Impacts for different contexts, which are differentiated within equation using indices. This section shortly describes these indices, which are shown in the overview table below:

Index

Label

Description

c

id_region

Member States or EU27_2020

y

year

Years

s

id_sector

Main sectors

ss

id_subsector

Main sectors & subsectors

a

id_action_type

Improvement actions

m

id_measure

ID attributed to a front-end row (representing a measure)

e

id_final_energy_carrier

Final energy carriers

pe

id_primary_energy_carrier

Primary energy carriers

i

id_indicator

Indicators

p

id_parameter

Parameters

id_region

The MICATool is built to assess multiple impacts on three levels: EU, national, and local/regional level. For the EU and the national level, different ids are attributed, in order to make them distinguishable. However, given the mostly unavailable data on the local level, the latter is using scaled data from the national level. Thus, the national id is used for regions and urban areas in any given country.

See the id_region table

Id

Label

Description

0

European Union

EU27_2020

1

Austria

AT

2

Belgium

BE

3

Cyprus

CY

4

Czech Republic

CZ

5

Germany

DE

6

Denmark

DK

7

Estonia

EE

8

Greece

EL

9

Finland

FI

10

France

FR

11

Croatia

HR

12

Hungary

HU

13

Ireland

IE

14

Italy

IT

15

Latvia

LV

16

Lithuania

LT

17

Luxembourg

LU

18

Malta

MT

19

Netherlands

NL

20

Poland

PL

21

Portugal

PT

22

Slovakia

SK

23

Slovenia

SI

24

Spain

ES

25

Sweden

SE

26

Romania

RO

27

Bulgaria

BG

This table is from back_end/import/public/id_region.xlsx

year

The tool calculates multiple impacts for certain years or projections of more than one timeslice. Thus, the majority of parameters and data are different for different years. However, not all values are available for each year. Therefore, in order to avoid unfounded assumptions, missing values are inter- and extrapolated linearly.

An issue is the inconsistency of the underlying baseline before and after 2020, which stem from Eurostat and the EU Reference Scenario 2020, respectively. In order to avoid statistical artifacts at the crossover of both baselines, two separated baselines have been defined. The ex-post baseline based on Eurostat allows assessments from 2000 to 2020, whereas the ex-ante baseline allows calculations from 2015 to 2050, using EU Reference Scenario 2020 data.

id_sector and id_subsector

The MICATool covers all end use sectors: agriculture, residential, tertiary, industry, and transport sector. These are listed in the id_sector-table. Given their significant variety, industry and transport have further been disaggregated into subsectors, in order to provide better default data and assumptions. As a result, an id_subsector-table containing the five main sectors as well as the subsectors for industry and transport has been created. In the case of the main sectors industry and transport, the average values for the whole sector are stored. This is clarified by their name, with all main sectors’ label starting with “average”, i.e. “average industry”. Hence, despite the name, id_subsector also includes main sectors.

See the id_sector table

Id

Label

Description

1

Agriculture

Agriculture

2

Industry

Industry

3

Tertiary

Tertiary

4

Residential

Residential

5

Transport

Transport

This table is from back_end/import/public/id_sector.xlsx

See the id_subsector table

Id

Label

Description

1

Average Agriculture

Agriculture, Forestry & Fishing

2

Average Industry

Average Industry Sector

3

Iron & Steel

Iron & Steel

4

Chemical & Petrochemical

Chemical & Petrochemical

5

Non-Ferrous Metals

Non-Ferrous Metals

6

Non-Metallic Minerals

Non-Metallic Minerals

7

Transport Equipment

Transport Equipment

8

Machinery

Machinery

9

Mining & Quarrying

Mining & Quarrying

10

Food, Beverages & Tobacco

Food, Beverages & Tobacco

11

Paper, Pulp & Printing

Paper, Pulp & Printing

12

Wood & Wood Products

Wood & Wood Products

13

Construction

Construction

14

Textile & Leather

Textile & Leather

15

Not Elsewhere Specified In Industry

Not Elsewhere Specified In Industry

16

Average Tertiary

Tertiary Sector

17

Average Residential

Residential Sector

18

Average Transport

Average Transport Sector

19

Rail

Rail

20

Road

Road

21

Aviation

Domestic Aviation

22

Navigation

Domestic Navigation

23

Pipeline

Pipeline Transport

24

Not Elsewhere Specified In Transport

Not Elsewhere Specified In Transport

This table is from back_end/import/public/id_subsector.xlsx

A mapping of subsectors to main sectors can be found in back_end/import/public/mapping__subsector__sector.xlsx

id_action_type

Since multiple impacts are linked to the implementation of measures, the MICATool does not work with end uses, which are unspecific in what exactly is implemented. Instead, improvement actions have been defined, which group similar measures that create comparable multiple impacts. The available improvement actions differ across sectors.

See the id_action_type table

id

label

description

1

Building envelope

Building envelope insulation (Windows, insulation, etc)

2

Heating fuel switch

Heating fuel switch including to district heating

3

Energy-efficient heating

Energy efficiency improvements of heatings (Boiler upgrade or replacement, pipe insulation, better heaters, etc.)

4

Electric appliances

Electric appliances (wet & cold appliances, lighting, consumer electronics, air conditioning, etc.)

5

Cooking and water heating

Cooking and water heating

6

Behavioural changes

Behavioural changes (i.e. thermostat adjustments)

7

Behavioural changes

Organisational or behavioural changes (i.e. thermostat adjustments or energy management systems such as ISO 50001)

8

Cross-cutting technologies

Energy-efficient electric cross-cutting technologies

9

Process change

Process change (fundamental changes to processes)

10

Fuel switch

Fuel switch in existing processes

11

Process-specific savings

Process-specific savings (incl. waste-heat recovery)

12

Space heating and cooling

Building envelope as well as space heating and cooling measures

13

Consumption reduction

Consumption reduction of vehicles (low-resistance tyres, side-boards on trucks, fuel additives, etc.)

14

Modal shift

Modal shift (Freight/passenger)

15

Behavioural changes

Behavioural or driving changes (either autonomous or through regulations such as speed limits)

16

Emission thresholds

Emission thresholds

17

Fuel switch

Fuel switch in vehicles (within the same mode of transport)

This table is from back_end/import/public/id_action_type.xlsx

A mapping of improvement actions to subsectors can be found in back_end/import/public/mapping__subsector__action_type.xlsx

id_measure

This id describes a row in the front-end, so a combination of (sub-)sector, improvement action, values, and optionally parameters. The id is mainly used during coding to unambiguously identify a front end row and thereby, precisely attribute results to a certain measure.

id_final_energy_carrier

In order to simplify the gathering of data, the final energy carriers have been grouped into 7 main groups, shown in the table below:

Id

Label

Description

1

Electricity

Electricity

2

Oil

Oil

3

Coal

Coal

4

Gas

Gas

5

Biomass And Waste

Biomass And Waste

6

Heat

District Heating And CHP

7

H2 And E-Fuels

H2 And Synthetic Fuels

This table is from back_end/import/public/id_final_energy_carriers.xlsx

Details about the mapping of energy carriers to these groups can be found in back_end/import/public/mapping__final_energy_carrier__primary_energy_carrier.xlsx

id_primary_energy_carrier

The primary energy carriers have been grouped into 6 overarching energy carrier types:

Id

Label

Description

1

Oil

Oil (incl. Biodiesel)

2

Coal

Coal

3

Gas

Gas (incl. Biogas)

4

Biomass And Renewable Waste

Biomass And Non-Renewable Waste

5

Renewables

PV, Wind, Geothermal, Tidal, etc.

6

Other

Other (incl. Nuclear, Non-Renewable Waste, etc.)

This table is from back_end/import/public/id_primary_energy_carriers.xlsx

Details about the mapping of energy carriers to these groups can be found in back_end/import/public/mapping__final_energy_carrier__primary_energy_carrier.xlsx

Given the fact that electricity, heat, and H2 and synthetic fuels need to be generated from primary energy carriers (see Chapter below), they are not listed among primary energy carriers.

id_indicator

The indicators identified and developed within the MICAT project have been gathered in the id_indicator table. However, the lists also includes obsolete or not yet developed indicators. Moreover, some indicators can merely be quantified, not monetised, mainly about missing underlying data. The indicators are also categorised into social, economic, and environmental (or ecologic) indicators, a categorisation which can also be seen in the subdivision of graphs in the front end.

See the id_indicator table

Id

Label

Description

1

Agriculture

Agriculture

2

Industry

Industry

3

Tertiary

Tertiary

4

Residential

Residential

5

Transport

Transport

This table is from back_end/import/public/id_indicator.xlsx

Details about the mapping of indicators to social, economic, and ecologic indicator groups can be found in back_end/import/public/mapping__final_energy_carrier__primary_energy_carrier.xlsx

id_parameter

The MICATool uses a variety of different datasets to allow for the quantification and monetisation of multiple impacts, with several more allowing for the provision of default data, in case users do not have all optional data at hand. In order to keep these large datasets sorted, every set of values merely differentiated by the indices above is assigned to a parameter in the id_parameter table. As such, the id_parameter template is often altered in the process of improving existing or adding new indicators.

The id_parameter table can be found here: back_end/import/public/id_parameter.xlsx

Since it is a work-in-progress and changes are frequent, as well as its considerable length, it has not been included here.