Energy statistics - quantities (nrg_quant)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Directorate General for Energy and Geology (DGEG)


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



For any question on data and metadata, please contact: Eurostat user support

Download


1. Contact Top
1.1. Contact organisation

Directorate General for Energy and Geology (DGEG)

1.2. Contact organisation unit

Department of Energy Planning and Statistic.

1.5. Contact mail address

Avenida 5 de Outubro, 208 (Edificio Santa Maria)

1069 - 203 Lisbon


2. Metadata update Top
26/07/2022
2.1. Metadata last certified 01/10/2022
2.2. Metadata last posted 01/10/2022
2.3. Metadata last update 27/07/2022


3. Statistical presentation Top
3.1. Data description

All statistical production by DGEG is based on administrative data available in energy, which are collected in the exercise of its competences. DGEG defines the content, form, and timing of disclosure of information, according methodologies and procedures described in the joint guidelines of Eurostat and International Energy Agency, as well in European Regulations, Directives and Decisions.

The main data variables collected by DGEG related energy sector are imports/exports, stocks, production, tranformation, consumption and capacities.

Under the delegation from Statistics Portugal (SP), DGEG submits reports on national energy statistics to European Commission, Eurostat, IEA, and United Nations Economic Commission for Europe (UNECE).

All statistical information can be found on the DGEG webpage: https://www.dgeg.gov.pt/pt/estatistica/energia/

Also, statistical indicators related to energy are available in SP Portal.

 

3.1.1. Data description – details and links to EU data collections
Name of the national data collection National body responsible List of variables included in this data collection Link to EU data collections (by frequency, energy product set, sector)
Annual Electricity and Heat data collection Directorate General for Energy and Geology (DGEG)

Portugal’s annual survey is sent to all power plants and the data collected are used to update our internal database and generate updated information released on DGEG’s site (https://www.dgeg.gov.pt/pt/estatistica/energia/).
The annual survey covers the following:

  • General information about the power plant (Location, owner, responsible engineer, connection to the distribution network, financial information)
  • Generation technology
    • Simple Combustion (Fossil Fuels, biomass, wastes)
    • CHP (Fossil Fuels, biomass, wastes)
    • Geothermal
    • Hydro (All sizes and technologies)
    • Solar (PV and CSP)
    • Wind (Onshore, offshore)
  • Set-up of the power plant (Energy flows)
  • Generation of electricity and/or heat and uses of the electricity and/or heat generated (Buyer name and NACE information)
  • Fuel Input (Origin, quantity and calorific value)
  • For the final electricity consumption the DSOs and Suppliers reports on electricity consumption by NACE and by municipality

Annual electricity and heat statistics
For the sectors below with some of the following energy products: Hydro; Geothermal; Solar; Tide, wave and ocean; Wind; Combustible fuels; Heat from chemical sources; Combustible fuels heat; Heat from chemical sources heat;

  • Production
  • Transformation sector
  • Consumption: Energy sector
  • Consumption: Industry
  • Consumption: Transport
  • Consumption: Residential
  • Consumption: Other
  • Infrastructure
  • Calorific values

Annual renewables and wastes statistics
For the sectors below with some of the following energy products: Hydro power; Wind power; Geothermal; Solar thermal; Solar photovoltaic; Tide, wave and ocean; Solid biofuels; Liquid biofuels; Biogases; Municipal waste; Industrial waste;

  • Production
  • Transformation sector
  • Consumption: Energy sector
  • Consumption: Industry
  • Consumption: Transport
  • Consumption: Residential
  • Consumption: Other
  • Stocks
  • Infrastructure
  • Calorific values

Annual CHP
Electricity and heat generation, capacities, electrical and thermal maximum capacities, fuel input by type of cycle (equipment type) and efficiency level.

Annual solid fuels statistics
Coal consumption in main power plants.

Annual natural gas statistics
Natural gas consumption in main electricity and CHP power plants, Autoproducers electricity and CHP plants.

Annual oil statistics
Oil products consumptions in main electricity and CHP power plants.

SHARES
Electricity generation and capacities with hydro breakdown (pure hydro with no pumping, mixed hydro and pure pumped storage hydro).

Final energy consumption in households
Electricity consumption from grid and auto-consumption.

Electricity market indicators
Electricity generation and capacities by company (plant owner) and electricity consumptions by retailer.

Monthly Electricity data collection DGEG Gross and net electricity production by source; fuel consumption; import and export electricity; pumped hydro and used for pumped storage; NGV and fuel stocks.

Annual Mini-Questionnaire Electricity and Heat
Eletricity generation by Hydro, Geothermal, Solar, Tide, Wind and Thermal sources; Trade (imports / exports); Consumption for pumped storage.

Annual Mini-Questionnaire Renewables and Wastes
Eletricity capacities for Hydro and Wind; Fuel input.

Annual renewables and wastes statistics
Eletricity imports and exports.

Monthly electricity statistics
Eletricity generation Hydro, Geothermal, Solar, Wind and Thermal sources. Eletricity imports and exports.

MOS and JODI Gas
Natural gas deliveries to power and heat generation.

Coal data collection DGEG

Monthly: entity; product; import by origin; (re)export by destination; quantity; net calorific value; stocks; consumption and import costs.

Quarterly: entity; product; consumption in electric sector and others activity sectors.

Annual solid fuels statistics
For the sectors below with some of the following energy products: Anthracite; Other bituminous coal; Sub-bituminous coal; Coke oven Coke;

  • Transformation sector
  • Consumption: Energy sector
  • Consumption: Industry
  • Consumption: Other
  • Trade (imports / exports)
  • Stocks
  • Calorific values

Annual Mini-Questionnaire solid fossil fuels
Physical flows by coal products: trade (imports / exports), stocks and deliveries for consumption in main power plants, industry and others.

SHARES
Coal consumption, imported from AQ Coal.

Monthly solid fuels statistics
Physical flows by coal products: trade (imports / exports), stocks and deliveries for consumption in main power plants, industry and others.

Gas Natural data collection DGEG

Monthly: entity; import by origin; (re)export by destination; quantity; stocks; net calorific value; gross inland deliveries.

Quarterly: entity; consumption by activity sector and by municipality.

Annual natural gas statistics
For the sectors below, natural gas physical flows:

  • Transformation sector
  • Production
  • Consumption: Energy sector
  • Consumption: Industry
  • Consumption: Transport
  • Consumption: Residential
  • Consumption: Other
  • Trade (imports / exports)
  • Stocks
  • Infrastructure
  • Calorific values

Annual Mini-Questionnaire gas statistics
Physical flows for natural gas: trade (imports / exports), stocks and deliveries for consumption in main power plants, industry, transport and others sectors.

SHARES
Natural gas consumption, imported from AQ Gas

Gas market indicators
Gas importers by company and gas consumptions by retailer.

Final energy consumption in households
Gas consumption.

Monthly natural gas statistics (MOS and JODI)
Physical flows for natural gas: trade (imports / exports), stocks and deliveries for consumption.

Oil data collection DGEG

Monthly: entity; product; import by origin; export or (re)export by destination; quantity; total stocks; emergency stock levels; commercial stocks; gross inland deliveries; refinery intakes and outputs; products transfer; receipts from others sources; total marine bunkers; total aviation; total internal market; import costs. Includes liquid biofuels flows and incorporation.

Quarterly: entity; product; internal market by activity sector (NACE) and by municipality; inland deliveries.

Quarterly: entity; national and international marine bunkers consumption; fishing; other.

Quarterly: entity; national and international aviation consumption; other.

Annual: refineries details with stocks, submission of crude oil and feedstocks, production.

Annual oil and petroleum products statistics
Refinery flows for crude oil, feedstocks/additives/other hydrocarbons and the several oil products. Trade (imports / exports),  stocks, calorific values, refineries capacities and consumption by:

  • Petrochemical,
  • International marine bunkers,
  • Transport (national navigation, international/national aviation, road and rail),
  • Industry sectors,
  • Commercial and public services,
  • Residential,
  • Agriculture/forestry,
  • Fishing,
  • Others.

Annual Mini-Questionnaire oil statistics
Physical flows for oil: trade (imports / exports), stocks and deliveries for consumption in main power plants, industry, transport and others sectors.

Annual Mini-Questionnaire Renewables and Wastes
Liquid biofuels flows.

Annual renewables and wastes statistics
Liquid biofuels flows.

Final energy consumption in households
LPG and diesel oil consumption.

SHARES
Oil consumption, imported from AQ Oil.

Monthly oil statistics (MOS and JODI)
Physical flows for crude oil and feedstocks, imports/exports, deliveries for consumption (memo of petrochemical industry), refinery output, stocks and emergency stocks.

3.2. Classification system

See 3.2.1

3.2.1. Classification system – industry sector, products and geographical
Name of the national data collection  Industry sector Products Geographical
Annual Electricity and Heat data collection NACE rev. 2 (EU classification of economic activities) CN codes (Combined Nomenclature, EU) NUTS (Nomenclature of territorial units for statistics)
Monthly Electricity data collection NACE rev. 2 (EU classification of economic activities) Classification in Regulation (EC) 1099/2008 on energy statistics NUTS (Nomenclature of territorial units for statistics)
Coal data collection NACE rev. 2 (EU classification of economic activities) Classification in Regulation (EC) 1099/2008 on energy statistics NUTS (Nomenclature of territorial units for statistics)
Gas Natural data collection NACE rev. 2 (EU classification of economic activities) Classification in Regulation (EC) 1099/2008 on energy statistics NUTS (Nomenclature of territorial units for statistics)
Oil data collection NACE rev. 2 (EU classification of economic activities) Classification in Regulation (EC) 1099/2008 on energy statistics NUTS (Nomenclature of territorial units for statistics)
3.3. Coverage - sector

Energy statistics data covers all major sectors of the economy that are involved in the production, trade, energy transformation or energy consumption.

3.4. Statistical concepts and definitions

The main statistical variables collected by DGEG related energy sector are imports/exports, stocks, production, tranformation, consumption and capacities, according definitions of Regulation (EC) No 1099/2008 on energy statistics and joint guidelines of Eurostat and International Energy Agency (Energy Statistics Manual).

3.5. Statistical unit

See table under 3.5.1.

3.5.1. Statistical unit – Data collections
Name of the national data collection Reporting unit
Annual Electricity and Heat data collection Power plant unit and stakeholders (TSO, DSO and Suppliers)
Monthly Electricity data collection TSO and subset of energy producers.
Coal data collection The Enterprise
Gas Natural data collection The Enterprise and TSO
Oil data collection The Enterprise, LNEG - Certification Body for Compliance of Biofuel Sustainability
3.6. Statistical population

DGEG collects administrative data related to 100% of energy flows.

3.7. Reference area

Whole country including the Islands Açores and Madeira.

3.8. Coverage - Time

See table under 3.8.1.

3.8.1. Coverage time – Data collections
Name of the national data collection Coverage time
Annual Electricity and Heat data collection  1990 to 2020
Monthly Electricity data collection  2000 to 2020
Coal data collection 1990 to 2020
Gas Natural data collection 1997 to 2020
Oil data collection 1990 to 2020
3.9. Base period

Not applicable.


4. Unit of measure Top

See table under 4.1.

4.1. Unit of measure – data collections
Name of the national data collection Unit of measurement
Annual Electricity and Heat data collection
  • kg for fuel input, like coal, fueloil, biomass, etc.
  • litre for diesel oil fuel input
  • GJ for heat production (CHP)
  • Euro for sold energy
  • m3 for natural gas and biogas
  • kWh for electricity production and consumption
  • kW for capacities
Monthly Electricity data collection
  • kg for fuel input, like coal, fueloil, biomass, etc.
  • litre for diesel oil fuel input
  • m3 for natural gas and biogas
  • kWh for electricity production and consumption
  • kW for capacities
Coal data collection
  • kg for physical flows
  • Euro for imports/(re)exports cost
Gas Natural data collection
  • kWh for physical flows
  • Euro for imports/(re)exports cost
Oil data collection
  • litres and kg according usual sold unit
  • Euro for imports/exports cost


5. Reference Period Top

See table under 5.1

5.1. Reference period – data collections
Name of the national data collection Reference period
Annual Electricity and Heat data collection calendar year (deadline until march 31th of next year)
Monthly Electricity data collection month (deadline until end of next month)
Coal data collection month (deadline until 15th of next month)
quarter (deadline until 20th of next month)
Gas Natural data collection month (deadline until 15th of next month)
quarter (deadline until 20th of next month)
Oil data collection

month (deadline until 15th of next month)
quarter (deadline until 20th of next month)
calendar year (deadline until march 31th of next year)


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

DGEG is the national entity with delegated statistical functions by Statistics Portugal (SP), for producing the official statistics defined by protocol signed on June 1st of 2010 on energy and geological resources (1). The exercise of these delegated competences by DGEG is performed by exclusive technical orientation of SP and with strict compliance with the legislation and rules issued by the National and European Statistical Systems.

The principles, rules and structure of National Statistical System are defined by Law (2). Statistical authorities, in their field of action, may require compulsory and free, to all departments or agencies, natural or legal persons, any necessary elements to produce official statistics. Within the framework of its competences, DGEG has the responsibility of monitoring, at national level, the impact of national energy and geological resources policy works and assist the political decisions in these matters (3)(4).

For this purpose, DGEG needs to have up to date information on energy. All statistical production is based on administrative data in the energy area available on DGEG, and their relevance is based on the respective national legislation. On energy statistics, it is also necessary to consider the parameters to EU community and IEA obligations.

The Executive order no. 62-A/2015, of 3rd March (4), establishes the “Energy Planning and Statistics Department (DSPEE)” of DGEG, as responsible to produce energy statistics, in order to maintain a current knowledge of the respective sectors and the pursuit of DGEG competences. Article 5 (paragraph 4) of mentioned legislation establishes the legal basis for the collection/compilation of relevant data in order to update and disseminate statistical information, as well the responsibility to organize and update databases, creating a better integration with existing databases from other DGEG Departments.

The most part of the national specific legislation on energy has one or more articles obliging operators to report information/data to DGEG (or sets the premises to DGEG to request the necessary information to the exercise of its specific competences) according to a defined frequency, ensuring data confidentiality. These procedures allow DGEG to collect and consequently compile statistical data.

(1) Protocol of Delegated Statistical Functions by SP to DGEG.
https://www.dgeg.gov.pt/media/gvrhlbsn/protocolodelegacaocompetenciasine-dgeg.pdf

(2) Law of the National Statistical System: Law no. 22/2008, May 13th
http://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_cont_inst&INST
=53870&ine_smenu.boui=13918434&ine_smenu.selected=13918884&xlang=en

(3) Organic Law and competences of DGEG Decree Law no. 130/2014, August 29th
https://data.dre.pt/eli/dec-lei/130/2014/08/29/p/dre/pt/html

(4) Organization and Competences of Departments of DGEG: Executive order no. 62-A/2015, March 3rd
https://files.dre.pt/1s/2015/03/04301/0000200012.pdf

6.1.1. National legal acts and other agreements

Name of the national data collection

National legal framework Reference of national legal text
Annual Electricity and Heat data collection Mandatory (included in a national legal act)

National Electrical System: Decree Law no. 15/2022, January 14th
https://data.dre.pt/eli/dec-lei/15/2022/p/cons/19000102/pt/html

Cogeneration (CHP): Decree Law no. 23/2010, March 25th
https://data.dre.pt/eli/dec-lei/23/2010/p/cons/20200910/pt/html

Electricity self-consumption: Decree-Law no. 162/2019, October 25th
https://data.dre.pt/eli/dec-lei/162/2019/10/25/p/dre/pt/html

Monthly Electricity data collection Mandatory (included in a national legal act)

National Electrical System: Decree Law no. 15/2022, January 14th
https://data.dre.pt/eli/dec-lei/15/2022/p/cons/19000102/pt/html

Electricity self-consumption: Decree-Law no. 162/2019, October 25th
https://data.dre.pt/eli/dec-lei/162/2019/10/25/p/dre/pt/html

Coal data collection Mandatory (included in a national legal act)

Decree Law no 106/93, April 7th
https://data.dre.pt/eli/dec-lei/106/1993/04/07/p/dre/pt/html

Gas Natural data collection Mandatory (included in a national legal act)

Organization and operation of the NG System: Decree Law no. 230/2012, October 26th
https://data.dre.pt/eli/dec-lei/230/2012/10/26/p/dre/pt/html

and Decree Law no. 231/2012, October 26th
https://data.dre.pt/eli/dec-lei/231/2012/10/26/p/dre/pt/html

Oil data collection Mandatory (included in a national legal act)

Organization and functioning of the National Oil System: Decree Law no. 244/2015, October 19th
https://data.dre.pt/eli/dec-lei/244/2015/10/19/p/dre/pt/html

Oil Reserves: Decree-Law no. 165/2013, December 16th
https://data.dre.pt/eli/dec-lei/165/2013/12/16/p/dre/pt/html

Common legal framework for all data collection:
Law of the National Statistical System: Law no. 22/2008, May 13th
http://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_cont_inst&INST
=53870&ine_smenu.boui=13918434&ine_smenu.selected=13918884&xlang=en

Protocol of Delegated Statistical Functions by SP to DGEG
https://www.dgeg.gov.pt/media/gvrhlbsn/protocolodelegacaocompetenciasine-dgeg.pdf

 

6.2. Institutional Mandate - data sharing

See table under 6.2.1.

6.2.1. Institutional mandate – data sharing – national data collections
Name of the national data collection Situation, if more than 1 body is involved in this data collection Degree of integration of this data collection among different National bodies
Annual Electricity and Heat data collection Not applicable. Not applicable.
Monthly Electricity data collection Coordination based on practice (no written procedure) Alignment even if not the same questionnaires/classifications are used
Coal data collection Coordination defined in a legal institutional framework Alignment even if not the same questionnaires/classifications are used
Gas Natural data collection Coordination defined in a legal institutional framework Alignment even if not the same questionnaires/classifications are used
Oil data collection Coordination defined in a legal institutional framework Alignment even if not the same questionnaires/classifications are used

For Households questionnaire the main contribution to cames from survey of consumption in the domestic sector, carried out by the DGEG and Statistics Portugal. The last one was carried out in 2020.

SHARES also receives contributions from heat pumps, whose main source of information is APIRAC (industrial association from sector); LNEG (LNEG - Certification Body for Compliance of Biofuel Sustainability) for the breakdown of biofuels in transport; MOBIE (National Electric Mobility Network) for electric vehicle charging/consumption; biomass consumption from Statistics Portugal - IAPI / PRODCOM (Annual Survey on Industrial Production); biomass consumption from Portuguese Environment Agency – Data from Emissions Trading System (ETS); Pellets producers.


7. Confidentiality Top

We dont have confidential data points in any data set.



Annexes:
Annex_Confidentiality in EU data collections
7.1. Confidentiality - policy

According to established protocol with delegated statistical functions by Statistics Portugal to DGEG (1), DGEG complies with the European Statistics Code of Practice (2) and the Policy of Statistical Confidentiality (3) defined by Statistics Portugal.

According also to Executive order 62-A/2015 of 3 March (4), Energy Planning and Statistics Department (DSPEE) of DGEG shall adopt the necessary measures to fulfil the obligations for the application of statistical confidentiality in production and dissemination of statistical information produced in the areas of energy and geological resources. Breaking of the statistical confidentiality is punishable according to Article 32 of the Law nº 22/2008, May 13th (5).

DGEG as Other National Authority Statistics (6) and according to Law 22/2008, May 13th it is committed to respect confidentiality. All staff are committed to this obligation, and signed confidentiality commitment statements.

(1) Protocol of Delegated Statistical Functions  by SP to DGEG
https://www.dgeg.gov.pt/media/gvrhlbsn/protocolodelegacaocompetenciasine-dgeg.pdf

(2) European Statistics Code of Practice and the Statistical Confidentiality Regulation https://ec.europa.eu/eurostat/documents/64157/4392716/Revised_CoP_Nov_2017.pdf

(3) Statistics Portugal - Policy of Statistical Confidentiality
https://www.ine.pt/ngt_server/attachfileu.jsp?look_parentBoui=
356903123&att_display=n&att_download=y

(4) Organization and Competences of Departments of DGEG: Executive order no. 62-A/2015, March 3rd 
https://files.dre.pt/1s/2015/03/04301/0000200012.pdf

(5) Law of the National Statistical System: Law no. 22/2008, May 13th
http://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_cont_inst&INST=53870&ine_smenu.boui=
13918434&ine_smenu.selected=13918884&xlang=en

(6) Dispatch (extract) no. 13284/2010, August 12th (from Statistics Portugal)
https://files.dre.pt/2s/2010/08/160000000/4411044111.pdf

 

7.2. Confidentiality - data treatment

Access to the detailed data used in statistical production and respective dissemination are subject to confidentiality. If some statistical data are used by other DGEG department, in the exercise of own competences, they are obliged to the confidentiality in the same way as the staff of DSPEE and cannot be transferred to any third party. DGEG does not provide anonymized microdata. As an alternative, DGEG provides aggregated information, usually for academic purposes, with a greater detail than that published on the website, but also respecting statistical confidentiality.

The dissemination of statistical information on DGEG webpage, as well as the information sent to Eurostat and IEA, is aggregated data, with the exceptions of Refineries information (two plants in Portugal until 2020 and only one after 2021) always were released with the authorization of the respective company that never oppose DGEG to do that, although we don’t have any written statement.

7.2.1. Confidentiality – EU data collections

EU DATA COLLECTION

CONFIDENTIAL DATA POINTS

Crude oil imports register – Short term monthly statistics

No

Oil and petroleum products – Short term monthly statistics

No

Natural gas - short term monthly statistics

No

Solid fuels - monthly statistics

No

Electricity - monthly statistics

No

Oil and petroleum products - monthly statistics

No

Natural gas - monthly statistics

No

Nuclear - annual statistics

No

Electricity and heat - annual statistics

No

Natural gas - annual statistics

No

Oil and petroleum products - annual statistics

No

Renewables and wastes - annual statistics

No

Solid fossil fuels and manufactured gases - annual statistics

No

Short Assessment of Renewable Energy Sources (SHARES)

No

Households - detailed annual statistics on final energy consumption

No


8. Release policy Top
8.1. Release calendar

The statistical releases are based on pre-announced calendars available in DGEG webpage (1), according to Annual Statistical Work Program, available for the public. Any change in posted dates provided for release is always explained/justified on calendars.

The dissemination of preliminary results is also previewed on the calendar (and defined in methodological documents, when applied). The DGEG, twice a year, sends to Statistics Portugal (SP) the activity report (2) where it monitors statistical production, including the deviations and justifications if applicable, that will be integrated on Annual Report of SP and Other National Authorities (3).

(1) Calendar with statistical releases
https://www.dgeg.gov.pt/media/u2klnico/dgeg-mca-2022-20220225.xlsx

(2) See Activity report file in annex P13_Q131_Doc_02.xlsx

(3) Statistcs Portugal and ONA Annual Work Programme  2022
https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_inst_planeamento



Annexes:
Activity report – 2021
8.2. Release calendar access

Calendar with the publications forecast for 2022.
https://www.dgeg.gov.pt/media/u2klnico/dgeg-mca-2022-20220225.xlsx

8.3. Release policy - user access

DGEG is an entity with functions entrusted by National Statistics Institute (Statistics Portugal) for producing and disseminating the official statistics defined by the protocol signed on June 1st 2010 (1). The exercise of these competences by DGEG is performed under Statistics Portugal technical-scientific and methodological supervision and with strict compliance with the legislation and rules issued by the National and European Statistical System. Within this functions delegation, DGEG adopted the European Statistics Code of Practice and the Statistics Portugal Confidentiality Charter as well as other Statistics Portugal policies such as Dissemination and Revision policies in particular.

All statistical production by DGEG is based on administrative data available in the area of energy and geological resources, which are collected in the exercise of its competences. DGEG defines the content, form and timing of dissemination of information.

DGEG ensure the equal access to all users and there is no priority entity receiving (previously) information.

 

(1) https://www.dgeg.gov.pt/media/gvrhlbsn/protocolodelegacaocompetenciasine-dgeg.pdf


9. Frequency of dissemination Top

See table under 9.1.

9.1. Frequency of dissemination – national data collections
Name of the national data collection Frequency of dissemination
Annual Electricity and Heat data collection Yearly
Monthly Electricity data collection Monthly
Coal data collection Monthly and Yearly
Gas Natural data collection Monthly and Yearly 
Oil data collection Monthly and Yearly


10. Accessibility and clarity Top

Since 2020, DGEG reformulated its website (https://www.dgeg.gov.pt/pt/estatistica/energia/) and the statistics were given a greater exposure and better organization. This reformulation has been well accepted by users, who consider it easier to access statistical information.

Every statistical data is identified by geographic scope, reference period, unit(s) of measurement, quality of the data (preliminary, provisional, or estimated and definitive) as well as the last revision date.

10.1. Dissemination format - News release

The most reported publications in the media in last years were:

  • Energia em Números (Energy Numbers)
  • Estatísticas Rápidas dos Combustíveis (Quick Fuels Statistics)
  • Estatísticas Rápidas das Renováveis (Quick Renewable Statistics)
  • Estimativas Rápidas de Consumo Energético (Quick Estimates of Energy Consumption)
  • Fatura Energética (Energy Bill)
  • Balanço Energético Nacional (Energy Balance)
  • Indicadores energéticos (Energy indicators)
  • SHARE
  • Households energy consumption survey - 2020
10.2. Dissemination format - Publications

All the publications produced are available in electronic format, the most consulted are:

Energia em Números (Energy Numbers) - annual - number of consultations: 3802
https://www.dgeg.gov.pt/media/xgrawyis/dgeg-afa-2021.pdf

Estatísticas Rápidas das Renováveis (Quick Renewable Statistics) - monthly - number of consultations: 5524
https://www.dgeg.gov.pt/media/4lmn30q0/renovaveis-202205.pdf

Estatísticas Rápidas dos Combustíveis (Quick Fuels Statistics) - monthly - number of consultations: 3749
https://www.dgeg.gov.pt/media/dwuainem/dgeg-arc-2022-05.pdf

Balanço Energético Nacional (Energy Balance) - annual - number of consultations: 8369
https://www.dgeg.gov.pt/media/hmqkkm2m/dgeg-ben-2020.pdf

Fatura Energética (Energy Bill) - number of consultations: 1010
https://www.dgeg.gov.pt/media/xgrawyis/dgeg-afa-2021.pdf

Indicadores energéticos (Energy indicators) - number of consultations: 4519
https://www.dgeg.gov.pt/media/zu2cln22/dgeg-iie-1995-2020.xlsx

Households energy consumption survey - 2020 - number of consultations: 4600
https://www.dgeg.gov.pt/media/jvfgkejh/dgeg-aou-icesd-2020.pdf

Number of consultations during 2021.

10.3. Dissemination format - online database

Online database dissemination, not available.

Dissemination only available in pdf and xls format.

https://www.dgeg.gov.pt/pt/estatistica/energia/

10.3.1. Data tables - consultations

Not requested for this metadata collection

10.4. Dissemination format - microdata access

Micro-data it is not available for dissemination.

10.5. Dissemination format - other

Since 2020, DGEG reformulated its website and the statistics were given a greater exposure and better organization. The energy statistics, which allows easy access to each area and respective theme. This reformulation has been well accepted by users, who consider it easier to access statistical information.

DGEG submit statistic data regulary, according regulations to Eurostat, IEA and UNECE.

Related

  • National Energy and Climate Plans 2021-2030
  • Security and supply monitoring report for electricity, gas and oil
  • Risk assessment reports and contingency plans for the gas and electricity sector
  • Carbon Neutrality Roadmap 2050
  • National Inventory of Greenhouse Gases

The statistical data produced by DGEG are also periodically published on the Statistics Portugal, Pordata and Energy Observatory websites:

https://www.ine.pt (Statistics Portugal)

https://www.pordata.pt/en/Subtheme/Portugal/Energy-90 (Pordata)

https://www.observatoriodaenergia.pt/pt/ (ADENE)

10.5.1. Metadata - consultations

Not requested for this metadata collection

10.6. Documentation on methodology

Methodology documents avalable in:
https://www.dgeg.gov.pt/pt/estatistica/energia/calendario-metainformacao-e-outra-documentacao/documentos-metodologicos/

Methodological framework of energy statistics produced by DSPE/DGEG is clearly defined by Eurostat and IEA and is described on Manuals, joint guidelines, and regulations/directives.
General guidelines about methodologies that each Member State should apply are defined in EU Regulation no 1099/2008, October 22nd, amended by EU Regulation no 2022/132, January 28th and other specific methodological guidelines presented in EU Directives or Decisions

 

10.6.1. Metadata completeness - rate

Not requested for this metadata collection

10.7. Quality management - documentation

The obligation of DGEG to submit reports on the national energy statistics to European Commission, EUROSTAT and IEA requires that, in case of inconsistency, spot data/outliers, breaks in the series or error detection, a promptly justification/explanation must be presented. Additionally, IEA developed a set of indicators on timeliness, completeness, data quality and cross-questionnaires consistency, in order to give an overall assessment of the combined annual statistics questionnaires send to IEA/EUROSTAT, that provides a visual overview of each country's performance over the last annual cycle and includes a comparison with the previous cycle for all indicators.

This performance can be seen in last cycle report, available in annex files: Annual Energy Questionnaires Report Card from IEA – Portugal 2019 Data Cycle and Comparative assessment of the annual reporting (2019-2020 and 2020-2021 cycles). The document “How to Read a Report Card” helps the interpretation of these reports.

DGEG is committed to following the Statistics Portugal and Eurostat's code of practice for statistical production the respective commitment to quality, available in annex file.



Annexes:
IEA - Annual Energy Questionnaires Report Card - 2019 Data Cycle
IEA - Comparative assessment of the annual reporting (2019-2020 and 2020-2021 cycles
IEA - How to Read a Report Card
Commitment to Quality


11. Quality management Top
11.1. Quality assurance

Within the framework of its competences, and according with the National Statistical System Law and the protocol of delegated statistical functions signed with Statistics Portugal, DGEG regulated itself by quality standards on the statistical data produced. To manage the quality, DGEG does not have any specific organizational structure or any dedicated team. To deal with the quality management on statistics, rules and validations for structure, domain and consistency were implemented along all procedures of data collection/compilation.

Each type of information is received in structured files to avoid manual recording of data and mistyping. All parameters are presented in pre-set tables, e.g. country codes, NACE, municipality codes, boat types, etc. Collected data are introduced into an IT application and validated using specific rules, which are dependent on the type of statistics to produce and where the consistency of the data is analyzed, and the respondent is contacted in case of poorly filled or doubts arising elements.

Analyzes on quantities reported by the operators are performed over the months and years for each product, activity sector and municipality. The use of time series, especially for the last three years, also allows the checking of the consistency of data. If errors are detected in filling out fields, unreasonable values, series breaks or any other reason that undermines the quality of statistical information, the source of information is always questioned.

DGEG plans for the coming 3 years, hire human resources, acquisition of a web platform with a good level of automation in the control and validation of data submitted by main operators of oil, natural gas and electricity.

11.2. Quality management - assessment

The can be seen in last cycle report, available in annex files: Annual Energy Questionnaires Report Card from IEA – Portugal 2019 Data Cycle and Comparative assessment of the annual reporting (2019-2020 and 2020-2021 cycles). The document “How to Read a Report Card” helps the interpretation of these reports. See annexes in 10.7 sub-concept.

DGEG is committed to following the Statistics Portugal and Eurostat's code of practice for statistical production the respective commitment to quality, available in annex file.

11.2.1. Quality assessment – data collections
Name of the national data collection Most important quality problem of this data collection Measures taken in the last 5 years to improve quality of the data collection
Annual Electricity and Heat data collection

The quantification of heat in some CHP, located in industrial clusters, can be imprecise, mainly because the heat is circulated between facilities.

One of the main problems we face is the failure by operators to classify consumer NACE associated with electricity consumption.

The quantification of self-consumption of electricity in small decentralised production facilities

A mechanism for quantification of self-consumption of electricity has been implemented to estimate the production, as a function of the equivalent production hours for each month and the region where the installation is located. Self-consumption is obtained by the difference between production and injection into the grid.

Monthly Electricity data collection The quantification of self-consumption of electricity in small decentralised production facilities. See measure above.
Coal data collection Completeness - We are considering that maybe all importers are not reporting to the DGEG, although are in processing the implementation of measures to correct this situation.
in any case the quantities at stake will be very small.
We do not think it is necessary to implement any measures, as coal consumption is declining.
Gas Natural data collection One of the main problems we face is the failure by operators to classify consumer NACE associated with gas consumption. It has required more work to analyse and validate the time series.
Oil data collection Consistence of information about deliveries between companies;
One of the main problems we face is the loss of information on the final consumer (NACE and municipality), due to the fact that a large part of the sales/consumption are made at the retail sale (fuel stations).
It has required more work to analyse and validate the time series.


12. Relevance Top
12.1. Relevance - User Needs

Statistical data (such as coal, oil, electricity, renewables monthly and annually data, energy balances, etc) is the basis for the definition of policy decision instruments and the basis for strategy and planning for the energy sector. At the same time, the collection and processing of data will enable policy monitoring.

With regard to decision support instruments, we have as an example the application of statistical data to the development of monitoring reports on security of supply in the electricity and NG systems and the prevention and action plans and emergency plans for the risks associated to the NG sector.

Statistical data is also the basis for the definition of prospective studies and projections aimed at defining strategic documents such as the National Energy and Climate Plans (NECP) -horizon 2021-2030. In NECP the forecasts/projections used statistical characterization information of the energy sector to make projections for its future behavior in its various subsectors. The Janus simulation model based on the Long-Range Energy Alternatives Planning System (LEAP) software was used for NECP. In the past for the definition of other national plans, such as  National Renewable Energy Action Plan (NREAP) and  National Energy Efficiency Action Plan (NEEAP) an identical exercise has been made to characterize and model the energy sector by 2020 (in the field of renewable energy and energy efficiency).

These policies/strategies and instruments require monitoring through the collection and processing of data (responsibility of DGEG, with data provided by the operators and entities of the sector) and which is used according to the requests and necessity for such monitoring.

The information is often used in universities for master's and doctoral theses.

With some regularity, information is requested with a breakdown that compromises the confidentiality to which DGEG is bound. In these situations the information is denied.

There has been increasing demand for data on decentralised production at the municipality level, which we are not yet able to provide. We are currently working to satisfy this need.

12.2. Relevance - User Satisfaction

Unfortunately we do not have satisfaction surveys that can quantify the level of satisfaction about our statistical production.
We are assessing the possibility to implement this extremely important tool in order to improve the quality of our statistical production.

12.3. Completeness

Currently DGEG is able to provide all the required information. However, some reporting obligations in the near future, such as hydrogen, disaggregation of consumption in industry, services, transport, PV installations, etc., are currently not possible to provide and we will have to make efforts in the near future to meet these new needs.

12.3.1. Data completeness - rate

See table under 12.3.1.1.

12.3.1.1. Data completeness - rate – EU data collections

EU DATA COLLECTION

DATA COMPLETENESS - RATE

NUMBER OF MISSING DATA POINTS

Crude oil imports register – Short term monthly statistics

100%

 

Oil and petroleum products – Short term monthly statistics

100% 

 

Natural gas - short term monthly statistics

100%

 

Solid fuels - monthly statistics

100%

 

Electricity - monthly statistics

100%

 

Oil and petroleum products - monthly statistics

100%

 

Natural gas - monthly statistics

 100%

 

Nuclear - annual statistics

 NA

 

Electricity and heat - annual statistics

 100%

 

Natural gas - annual statistics

 100%

 

Oil and petroleum products - annual statistics

100%

 

Renewables and wastes - annual statistics

100%

 

Solid fossil fuels and manufactured gases - annual statistics

 100%

 

SHort Assessment of Renewable Energy Sources (SHARES)

 100%

 

Households - detailed annual statistics on final energy consumption

 100%

 


13. Accuracy Top


Annexes:
Accuracy indicators
13.1. Accuracy - overall

In the production of statistical data DGEG does not use sampling procedures, with the exception of the household energy consumption survey, done in cooperation with the Statistics Portugal, due to the exclusively use of administrative data corresponding, in most cases, to a complete coverage of the reality under study. DGEG is updating methodological documents for each delegated statistical operation, based on standard methodological documents defined according to the National Statistics System.

13.1.1. Accuracy – most common errors for specific data collections
Name of the national data collection Most common errors for this collection
Annual Electricity and Heat data collection
  • Classification errors (NACE)
  • Minor faults in the estimation of electricity self-consumption
Monthly Electricity data collection
  • Minor faults in the estimation of electricity self-consumption
Coal data collection
  • Classification errors (NACE).
  • Missing data, although quantities are small.
Gas Natural data collection
  • Classification errors (NACE)
Oil data collection
  • Classification errors (NACE and municipality)
  • Some delay in sending information by some (a few) operators
13.2. Sampling error

Not applicable, as we work with administrative data, with the exception of the questionnaire on consumption in households.

13.2.1. Sampling error - indicators

Not requested for this metadata collection

13.3. Non-sampling error

Not applicable, as we work with administrative data.

13.3.1. Coverage error

Not applicable, as we work with administrative data.

13.3.1.1. Over-coverage - rate

Not applicable, as we work with administrative data.

13.3.1.2. Common units - proportion

Not applicable, as we work with administrative data.

13.3.2. Measurement error

Not applicable, as we work with administrative data.

13.3.3. Non response error

Not applicable, as we work with administrative data.

13.3.3.1. Unit non-response - rate

Not applicable, as we work with administrative data.

13.3.3.2. Item non-response - rate

Not applicable, as we work with administrative data.

13.3.4. Processing error

Not processed

13.3.5. Model assumption error

Not applicable, as we work with administrative data.


14. Timeliness and punctuality Top
14.1. Timeliness

 See table under 14.1.3.

14.1.1. Time lag - first result

Not requested for this metadata collection.

14.1.2. Time lag - final result

Not requested for this metadata collection.

14.1.3. Timeliness – deadlines for data transmission for each national data collection
Name of the national data collection Deadline for data transmission
Annual Electricity and Heat data collection year: deadline until march 31th of next year
Monthly Electricity data collection month: until end of next month
Coal data collection month: deadline until 15th of next month
quarter: deadline until 20th of next month
Gas Natural data collection month: deadline until 15th of next month
quarter: deadline until 20th of next month
Oil data collection month: deadline until 15th of next month
quarter: deadline until 20th of next month
year: deadline until march 31th of next year
14.2. Punctuality

The statistical releases are based on pre-announced calendars available in DGEG webpage, according to Annual Statistical Work Program, available for the public. Any change in posted dates provided for release is always explained/justified on calendars.

DGEG sends, twice a year, to Statistics Portugal (SP) the activity report where it monitors statistical production, including the deviations and justifications if applicable, that will be integrated on Annual Report of SP and Other National Authorities.

As a rule, DGEG complies with the pre-announced schedule.

 

14.2.1. Punctuality - delivery and publication

Not requested for this metadata collection.


15. Coherence and comparability Top
15.1. Comparability - geographical

DGEG follows the concepts and methodologies from the EU regulation and legislation: Energy Statistics Regulation no. 1099/2008 October 22nd; Heat Pumps - 2013/114/EU Commission Decision of 1 March 2013; etc. As well the IRES - International Recommendations for Energy Statistics; the joint Eurostat/IEA manual and guidelines for the questionnaires for energy statistics, in this way it is guaranteed, on energy statistics, a close cooperation between Eurostat and IEA, and ensures the uniformity and comparability of the statistical data from different Member States.

The cross-national analysis of data, in terms of coherence and comparability is a process already implemented between DGEG and Statistics Portugal (SP) and between DGEG and APA - Portuguese Environment Agency in the context of ETS – Emission Trading System. SP, when preparing yearbooks, and needs to use, as an example, the electricity consumption or fuel consumption in transports, looks at time series, and if some outliers or inconsistence are detected it then asks DGEG to justify or if it is necessary to review this data.

With APA, especially for the preparation of the National Inventory of Greenhouse Gases (GHG), where energy consumption represents 2/3 of GHG, the preferred source of information is the DGEG's Energy Balance, they ask for clarification when there are outliers consumptions values.

After publishing the energy information, if DGEG is questioned about any possible incoherence, it investigates the origin and if necessary, contacts the suppliers of the respective information.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested for this metadata collection.

15.2. Comparability - over time

Time series breaks are properly signalled and may have the following causes: The emergence of new forms of energy, such as heat pumps; change of NACE; change of NUTs.

15.2.1. Length of comparable time series

The main time series breaks occurred in:

2014, with heat pump accounting
2008, with the entry into force of the new NACE for oil, eletricity and natural gas.
1998, NUTs change at municipality level

15.3. Coherence - cross domain

DGEG follows the concepts and methodologies from the EU regulation and legislation: Energy Statistics Regulation no. 1099/2008 October 22nd; Electricity and Natural Gas Transparency Prices - Regulation (EU) 2016/1952, October 26th; Heat Pumps - 2013/114/EU Commission Decision of 1 March 2013; etc. As well the IRES - International Recommendations for Energy Statistics; the joint Eurostat/IEA manual and guidelines for the questionnaires for energy statistics, in this way it is guaranteed, on energy statistics, a close cooperation between Eurostat and IEA, and ensures the uniformity and comparability of the statistical data from different Member States.

All steps to produce statistics are analysed in relation to coherence and consistency, mainly through the identification of breaks in a time series or the basis of the analysis on geographic scope and reference period. If any outlier is detected it is requested from the provider of information clarifications/justifications to understand the situation. When data is submitted to the DGEG database, structure, domain, and consistency validations are performed.

15.3.1. Coherence - sub annual and annual statistics

Normally the figures presented in the monthly reports and annual reports are very close, and differences of more than 3% are not expected.

The main reasons for the differences are related with some companies that do not send monthly data and figures have to be estimated, or exchanges of flows, for example deliveries between companies covered by the statistical system and deliveries to final customers.

15.3.2. Coherence - National Accounts

We can only perform validations with the national accounts at the level of imports and exports.
No significant differences are usually detected

15.4. Coherence - internal

Validations are performed between different forms. For example, deliveries declared in natural gas forms, for electricity production are crosschecked with electricity power plants forms related this consumption. Validations are performed to check for outlier’s values.

Time series validations are performed by fuel type, municipality, NACE, etc.

When filling out the annual questionnaires for Eurostat/IEA, the validations made by the questionnaires themselves are taken into account.

After publishing the energy information, if DGEG is questioned about any possible incoherence, it investigates the origin and if necessary, contacts the suppliers of the respective information.


16. Cost and Burden Top

All statistical production is based on administrative data in the areas of energy and geological resources available on DGEG and defined according to national laws and it reduces the burden on providers of information. DGEG defines, according to National and European legal requirements and its own competence, which information is needed for statistical purposes.

When the DGEG needs new administrative data, other departments can be involved, working together with the Statistics Department, in the design of new variables and procedures, having as a goal the reduction of the burden on data providers.

Whenever possible, data already available in DGEG or in other administrative source should be used for statistical purposes, to reduce the statistical burden. As an example, with regards to electricity statistics, annual forms are sent via email and some fields are pre-filled with data from previous year (in case of information that is usually unchanged), so that the respondent only need to update the information if changes occurred.

Another example, again in electricity statistics and for the monthly reports, the main information is based on data sharing with the Transmission System Operator (TSO) and this data are used on monthly reports. Only few of the more important operators are requested to send this information. Only request of information for annual data questionnaires is send to all the operators.

Monthly data received from TSO, also allow identifying new plants that we need to inquire in more detailed, annually. Another good example to reduce the burden on respondents is the transition to online data collection procedures regarding mineral and spring water statistics as we did before for mines and quarries data collection and for road fuel prices data collection. In addition, concerning oil, natural gas and coal statistics, data is available monthly or quarterly and the annual statistics are produced taking into account the data already available.

Budget with all DGEG/Statistics operations for 2020: 765 000 €


17. Data revision Top
17.1. Data revision - policy

Revisions are defined in Methodological Documents for each statistical operation. Generally, current revisions of information for year "n-1" may occur in dissemination of data for year "n". Other extraordinary revisions occur whenever an error is detected and/or were justified by the improved quality of the information provided, with significant impacts on available statistics.

Every time a revision occurs, a new document (with the last revision date) replaces the old version and the revised values are marked with a conventional sign.

17.2. Data revision - practice

Annual Electricity and Heat data collection - Usually, current revisions of information of year "n-1" occur when disseminating the data for the following year. Other revisions occur whenever an error is detected and/or where justified by the improved quality of the information provided, with significant impact on available statistics. Every time a revision occurs, a new document (with the last revision date) replaces the old version.

Monthly Electricity data collection - The current regular revisions mainly result from the incorporation of new information, for replacement estimates by actual data, or replacement of provisional figures previously provided by the companies. There is no extraordinary reviews.

Coal data collection - Current revisions of information of year ""n-1"" occur when disseminating the data for the following year. Other revisions occur whenever an error is detected and/or where justified by the improved quality of the information provided, with significant impact on available statistics. Every time a revision occurs, a new document (with the last revision date) replaces the old version.

Gas Natural data collection - The main revisions result of new information or data correction provided by the companies. Current revisions of information of year ""n-1"" occur when disseminating the data for the following year. Other revisions occur whenever an error is detected and/or where justified by the improved quality of the information provided, with significant impact on available statistics. Every time a revision occurs, a new document (with the last revision date) replaces the old version.

Oil data collection - The main revisions result of new information or data correction provided by the companies. Current revisions of information of year ""n-1"" occur when disseminating the data for the following year. Other revisions occur whenever an error is detected and/or where justified by the improved quality of the information provided, with significant impact on available statistics. Every time a revision occurs, a new document (with the last revision date) replaces the old version.

17.2.1. Data revision - average size

Not requested for this metadata collection.


18. Statistical processing Top
18.1. Source data

All statistical production is based on administrative data.

See in annexes documentation about questionnaire

Electricity Annual - consumptions; file SE-EnergiaEletrica-Consumos.pdf

Electricity Annual - Productions (example power plant); file DecProdAnual-2021-EETP.xlsx

Electricity Monthly - Productions; file InqProdMensal-2020.xls

Coal, Oil and Biofuels; file SistemaEstatisticoPetroleoCarvao.pdf

Natural Gas; file SistemaEstatisticoGN.pdf



Annexes:
Electricity consumptions
Electricity Production (main power plant)
Electricity Production - Monthly
Coal, Oil and Biofuels
Natural gas
18.1.1. Source data – data collections
Name of the national data collection Main data collection method Target population Population frame Sample size
Annual Electricity and Heat data collection Use of administrative data (e.g. customs data or business registers): DGEG data, APA/EU-ETS, INE
(excluding descentralized production)
970 970 970
Monthly Electricity data collection Use of administrative data (e.g. customs data or business registers) 64 64 64
Coal data collection Use of administrative data (e.g. customs data or business registers): DGEG data, company registers 7 7 7
Gas Natural data collection Use of administrative data (e.g. customs data or business registers): DGEG data, company registers 27 27 27
Oil data collection Use of administrative data (e.g. customs data or business registers): DGEG data, company registers 43 43 43
18.2. Frequency of data collection

See table under 18.2.1.

18.2.1. Frequency of data collection – national data collections
Name of the national data collection Frequency of transmission
Annual Electricity and Heat data collection Once per year
Monthly Electricity data collection Once per month
Coal data collection Once per month; once per quarter
Gas Natural data collection Once per month; once per quarter
Oil data collection Once per month; once per quarter; once per year (only for refineries)
18.3. Data collection

All statistical production is based on administrative data and defined according to national laws. Those data are collected in the exercise of DGEG competences.

Each type of administrative data source, it is received in structured files to avoid manual recording of data and mistyping. All parameters are presented in pre-set tables, e.g. country codes, NACE, municipality codes, boat types, etc. Collected data are introduced into an IT application and validated using specific rules, which are dependent on the type of statistics to produce and where the consistency of the data is analyzed, and the respondent is contacted in case of poorly filled or doubts arising elements.

In order to fulfil the need for statistical information, in recent years, DGEG do cross-analysis information with administrative data from other institutions as Statistics Portugal (SP) – Global international trade statistics and Industry statistics; Portuguese Environment Agency – Data from Emissions Trading System (ETS) and bunkers/aviation calibrators for national/international calculation; ENSE, National Entity of the Energy Sector– Oil reserves and oil importers; Regional Government of the Azores – Gasoil consumption in fisheries and agriculture; Transmission System Operator (TSO) – For main electricity and gas flows; Distribution System Operators (DSO), from mainland and islands – data collection with breakdown of electricity consumption and number of consumers; APIRAC, Air Conditioning Industry Association – Installed equipment; ADENE , Portuguese Energy Agency – Data from Energy Certification of Buildings System and Energy Intensive Consumption Management System; MOBIE – Electrical Mobility – consumption in electric vehicles; LNEG - National Laboratory for Energy and Geology – biofuels sustainability for production and imports.

18.4. Data validation

See table under 18.4.1.

18.4.1. Data validation – national data collections
Name of the national data collection Operations performed to this collection in order to improve data quality (e.g. checks between monthly, quarterly and annual, verification of time series, investigation of outliers…)
Annual Electricity and Heat data collection All steps in the production of statistics are analysed in relation to coherence and consistency mainly through the identification of breaks in a time series or the analysis of geographic scope and reference period. If any outlier is detected the provider of the information is required to provide clarifications/justifications to explain the situation.
In recent years in order to fulfil the need for statistical information we do a cross-analysis information with administrative data from other institutions such as APA (from CELE data), ADENE (as Solar Observatory for heat solar panels) and statistical data from Statistics Portugal (Annual Survey on Industrial Production). The data collected by DGEG from the whole market of electricity are cross checked with data from APA and Statistics Portugal that have other sources of information and different procedures with the objective of increasing its accuracy by comparing and validating the information. The data received in Electricity and CHP context, are compared with data received in Coal, Oil and NG context, where a cross-data consistency is very important.
Monthly Electricity data collection All steps in the monthly production of statistics are analysed in relation to coherence and consistency mainly through the checks between monthly, identification of breaks or outliers in a time series. If any outlier is detected the provider of the information is required to provide clarifications/justifications near the stakeholder to explain the situation.
Coal data collection All steps in the production of statistics are analysed in relation to coherence and consistency mainly through the checks between monthly, identification of breaks or outliers in a time series. If any outlier is detected the provider of the information is required to provide clarifications/justifications near the stakeholder to explain the situation. The data received in Coal data collection are compared with data received in Annual/Monthly electricity generation (coal power plants).
Gas Natural data collection All steps in the production of statistics are analysed in relation to coherence and consistency mainly through the checks between monthly, identification of breaks or outliers in a time series. If any outlier is detected the provider of the information is required to provide clarifications/justifications near the stakeholder to explain the situation. The data received in Gas data collection, are compared with data received in Annual electricity generation (gas power plants).
Oil data collection All steps in the production of statistics are analysed in relation to coherence and consistency mainly through the checks between monthly, identification of breaks or outliers in a time series. If any outlier is detected the provider of the information is required to provide clarifications/justifications near the stakeholder to explain the situation. The data received in Oil data collection, are compared with data received in Annual electricity generation (fuel oil and diesel oil power plants).
18.5. Data compilation

See table under 18.5.2.

18.5.1. Imputation - rate

Not requested for this metadata collection

18.5.2. Data compilation – data collections
Name of the national data collection Additional techniques used for the compilation of the final data set Details
Annual Electricity and Heat data collection
  • Imputing missing/non-response rate
  • Cross-checking techniques
  • Conversion factors used at national level
  • Incorrect data is adjusted or corrected
  • Adjustment due to different units/concepts
Collected data are introduced into an IT application and validated using specific rules which are dependent on the type of statistics to be produced. Data consistency are analysed and the company questioned in case of poorly filled files or doubtful elements. Subsequently information is retrieved using an Excel files (previously created according to the respective methodologies to be applied to each type of statistical operation). Analysis on quantities reported by the operators are performed over the months and years for each product, activity sector and municipality. The use of time series, especially for the last three years, allows checking the consistency of data. If errors, unreasonable values, series breaks or any other reason that undermines the quality of statistical information the source of information is always questioned. In case of missing values (total or partial non-response), the first step is to ask the operator to complete the information by sending a new data file. If needed we will use indirect information sources to estimate the missing value.
Monthly Electricity data collection
  • Cross-checking techniques
  • Outliers are aligned or streamlined
  • Incorrect data is adjusted or corrected

On a monthly basis, TSO data is preferably used regarding electricity injection into the grid. The main power plants (mostly CHP) with high self-consumption are questioned monthly.

Coal data collection
  • Cross-checking techniques
  • Outliers are aligned or streamlined
  • Incorrect data is adjusted or corrected
Data is received in structured files to avoid manual and mistyping registers. Collected data are introduced into an IT application and validated using specific rules, and after that the consistency of the data is analysed and if errors are detected in filling out fields, unreasonable values, series breaks or any other reason that undermines the quality of statistical information, the source of information is always questioned.
Gas Natural data collection
  • Cross-checking techniques
  • Outliers are aligned or streamlined
  • Incorrect data is adjusted or corrected
  • Adjustment due to different units/concepts…
Data is received in structured files to avoid manual and mistyping registers. Collected data are introduced into an IT application and validated using specific rules, and after that the consistency of the data is analysed and if errors are detected in filling out fields, unreasonable values, series breaks or any other reason that undermines the quality of statistical information, the source of information is always questioned. If needed we will use indirect information sources to estimate the missing value. On a monthly basis, global data on imports, stocks and consumption are checked against the information received from the TSO.
Oil data collection
  • Cross-checking techniques
  • Outliers are aligned or streamlined
  • Incorrect data is adjusted or corrected
  • Adjustment due to different units/concepts…
Data is received in structured files to avoid manual and mistyping registers. Collected data are introduced into an IT application and validated using specific rules, and after that the consistency of the data is analysed and if errors are detected in filling out fields, unreasonable values, series breaks or any other reason that undermines the quality of statistical information, the source of information is always questioned.
18.6. Adjustment

DGEG does not make adjustments to data received, like depending on the number of days of the month, the time of year or the temperature.

18.6.1. Seasonal adjustment

Some publications to avoid seasonality uses the concept of running year (the agregate of last twelve months).


19. Comment Top


Related metadata Top


Annexes Top