Physical energy flow accounts (env_pefa)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Statistics Norway


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: EUROPEAN STATISTICAL DATA SUPPORT

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1. Contact Top
1.1. Contact organisation

Statistics Norway

1.2. Contact organisation unit

Departement for business and environmental statistics; Division for energy, environmental and transport statistics. 

1.5. Contact mail address

Statistics Norway

Pb 1400 Rasta

2225 Kongsvinger


2. Metadata update Top
2.1. Metadata last certified 14/06/2023
2.2. Metadata last posted 14/06/2023
2.3. Metadata last update 14/06/2023


3. Statistical presentation Top
3.1. Data description

Physical energy flow accounts (PEFA) is one module of the European environmental-economic accounts - Regulation (EU) 691/2011 Annex VI. PEFA record the flows of energy (in terajoules) from the environment to the economy (natural inputs), within the economy (products), and from the economy back to the environment (residuals), using the accounting framework of physical supply and use tables.

PEFA provide information on energy flows arranged in a way fully compatible with concepts, principles, and classifications of national accounts – thus enabling integrated analyses of environmental, energy and economic issues e.g. through environmental-economic modelling. PEFA complement the traditional energy statistics, balances and derived indicators which are the main reference data source for EU energy policies.


This national metadata refers to the PEFA questionnaire delivered to Eurostat: data on supply (table A), use (table B), transformation use (table B1), end use (table B2) and emission-relevant use (table C), key indicators of physical energy flow accounts by NACE Rev. 2 activity (table D), and physical energy flow accounts totals bridging to energy balances totals (table E).

The PEFA questionnaire is available on Eurostat's website: https://ec.europa.eu/eurostat/web/environment/methodology

3.2. Classification system

Physical energy flow accounts (PEFA) datasets have the following dimensions:

  1. Supply and use tables (STK_FLOW): the elements of this dimension are the five tables detailing energy supply (questionnaire table A) and use; the total energy use (table B) is the sum of transformation use (table B1) and end use (table B2), and a certain part of it is emission relevant (table C).
  2. Energy product (PROD_NRG): (not relevant for questionnaire table D and E) The flows of energy recorded in PEFA are broadly grouped into natural energy inputs (flows from environment to economy), energy products (flows within economy), and energy residuals (flows from economy to environment mainly). Each of these generic groups is further broken down. In total this dimension distinguishes 31 items which are regulated in Commission Delegated Regulation (EU) 2016/172.
  3. Classification of economic activities - NACE Rev.2 (NACE_R2): (not relevant for questionnaire table E) The supply and use of energy flows is broken down by NACE classification of economic activities. The aggregation level used is A*64 (i.e. 64 branches), fully compatible with ESA supply and use tables. Furthermore, this dimension includes private households, accumulation (e.g. product inventories), the rest of the world economy for imports and exports, and the environment.
  4. Indicators (INDIC_PEFA): (only relevant for questionnaire tables D and E): Various key indicators that can be derived from the physical supply and use tables and so-called 'bridging-items' which present the various elements explaining the differences between the national totals as reported by PEFA vis-a-vis the national totals as reported by Eurostat's energy balances.
  5. Geopolitical entity (GEO): EU Member States, EFTA countries, candidate countries, and potential candidates. 
  6. Period of time (TIME): Energy flow data are annual.
  7. Unit (UNIT): Energy flows are reported in Terajoules.
3.3. Coverage - sector

The data set covers the entire national economy as defined in national accounts (ESA 2010, paragraph 2.04), as well as its physical relation to economies in the rest of the world and the environment.

 

3.4. Statistical concepts and definitions

Physical energy flow accounts (PEFA) are conceptually rooted in the System of Environmental-Economic Accounting (SEEA) which is an international statistical standard. The SEEA central framework provides standard concepts, definitions, classifications, accounting rules and tables for the provision of statistics on the environment and its relationship with the economy.
PEFA constitute satellite accounts to the National Accounts (NA). Hence, the statistical concepts and definitions of PEFA are derived from those of NA.
As far as applicable PEFA is also compliant with the statistical concepts and definitions internationally established for energy statistics: the International Recommendations for Energy Statistics (IRES).
Three concepts are essential to PEFA:
1) The concept of three generic types of energy flows as established in SEEA, namely:
a) natural energy inputs: flows from the natural environment into the economy such as fossil energy carriers in solid, liquid and gaseous form, biomass, solar radiation, kinetic energy in form of hydro and wind, geothermal heat etc.;
b) energy products: output flows from production processes as defined in national accounts (ESA); typically products produced by extractive industries, refineries, power plants etc.;
c) energy residuals: mainly energy in form of dissipative heat arising from the end use of energy products, flowing from the economy into the natural environment.
2) The accounting framework of (physical) supply and use tables as established in NA and SEEA;
3) The residence principle as established in NA and SEEA, i.e. PEFA records energy flows related to resident unit's activities, regardless where those occur geographically.

3.5. Statistical unit

Data refer to activities of resident economic units in the sense of SEEA CF 2012 and national accounts (ESA), including households.

3.6. Statistical population

The national economy is as defined in SEEA CF 2012 and national accounts (ESA); i.e. all economic activities undertaken by resident units (see ESA 2010, paragraph 2.04). A unit is said to be a resident unit of a country when it has a centre of economic interest in the economic territory of that country, that is, when it engages for an extended period (1 year or more) in economic activities in that territory.

3.7. Reference area

The country

3.8. Coverage - Time

1990-2021

3.9. Base period

Not applicable.


4. Unit of measure Top

The unit of measure is terajoule (TJ).


5. Reference Period Top

The data refer to the calendar year.


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

PEFA are legally covered by Regulation (EC) No. 691/2011 on European environmental economic accounts as amended by Regulation (EU) No. 538/2014. EEEA currently include six modules (air emissions accounts, environmentally related taxes by economic activity, economy-wide material flow accounts, environmental protection expenditure accounts, environmental goods and services sector accounts, and physical energy flow accounts).

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

About confidentiality in Statistics Norway: Methods in official statistics (ssb.no)

7.2. Confidentiality - data treatment

About confidentiality in data treatment in Statistics Norway: Methods in official statistics (ssb.no)


8. Release policy Top

Statistics Norway have a release calender with planned dissemination three months ahead.  https://www.ssb.no/en/kommende-publiseringer

8.1. Release calendar

Statistics Norway have a release calender with planned dissemination three months ahead.  https://www.ssb.no/en/kommende-publiseringer

The energy accounts is published in June each year.

8.2. Release calendar access

Release calendar available at SSB.no:  https://www.ssb.no/en/kommende-publiseringer

8.3. Release policy - user access

The statistics is available for all users at the same time, at 8:00 am on the day of dissemination.


9. Frequency of dissemination Top

Annually


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Not applicable. 

10.2. Dissemination format - Publications

Not applicable. 

10.3. Dissemination format - online database

StatBank Norway (ssb.no)

10.3.1. Data tables - consultations

Will be calculated and provided by EUROSTAT.

10.4. Dissemination format - microdata access

Not applicable.

10.5. Dissemination format - other

See 10.5.1

10.5.1. Metadata - consultations

Will be calculated and provided by EUROSTAT.

10.6. Documentation on methodology

See 10.6.1

10.6.1. Metadata completeness - rate

Will be calculated and provided by EUROSTAT.

10.7. Quality management - documentation

About quality in Statistics Norway: Quality in official statistics (ssb.no)


11. Quality management Top
11.1. Quality assurance

From the statistical program in Statistics Norway: Requirements for official statistics (ssb.no)

11.2. Quality management - assessment

About quality in official statistics (ssb.no)


12. Relevance Top
12.1. Relevance - User Needs

The data is used by other divisions in Statistics Norway and in international reporting to Eurostat and IEA. 

We collaborate with several organizations which is interested in energydata:

  • The Norwegian Water Resources and Energy Directorate
  • The Norwegian Petroleum Directorate
  • The Norwegian Environment Agency
  • Oil companies
  • ENOVA SF (owned by Ministry of Climate and Environment)  
  • and other relevant institutions and organisations. 

All the energydata applies that we have annually meeting with advisory committee of main users and collaboration with relevant institutions and organisations. 

12.2. Relevance - User Satisfaction

See 12.1

12.3. Completeness

See 12.3.1

12.3.1. Data completeness - rate

Will be calculated and provided by EUROSTAT.


13. Accuracy Top
13.1. Accuracy - overall
  • Measurement errors
  • Processing errors
  • Classification errors
13.2. Sampling error

Not applicable to statistical accounts.

13.2.1. Sampling error - indicators

Not applicable to statistical accounts.

13.3. Non-sampling error

Not applicable to statistical accounts.

13.3.1. Coverage error

Not applicable to statistical accounts.

13.3.1.1. Over-coverage - rate

Not applicable to statistical accounts.

13.3.1.2. Common units - proportion

Not applicable to statistical accounts.

13.3.2. Measurement error

Not applicable to statistical accounts.

13.3.3. Non response error

Not applicable to statistical accounts.

13.3.3.1. Unit non-response - rate

Not applicable to statistical accounts.

13.3.3.2. Item non-response - rate

Not applicable to statistical accounts.

13.3.4. Processing error

Not applicable to statistical accounts.

13.3.5. Model assumption error

Not applicable to statistical accounts.


14. Timeliness and punctuality Top
14.1. Timeliness

The energy accounts are published 6 months after the end of the reference period.

14.1.1. Time lag - first result

Not applicable.

14.1.2. Time lag - final result

Not applicable.

14.2. Punctuality

Not applicable.

14.2.1. Punctuality - delivery and publication

Will be calculated and provided by EUROSTAT.


15. Coherence and comparability Top
15.1. Comparability - geographical

Data on PEFA are compiled according to international guidelines and  insofar comparable. Application of the PEFA Builder tool ensures comparability to a certain extent.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

15.2. Comparability - over time

Please see the table in 15.2.1.1.

15.2.1. Length of comparable time series

Will be calculated and provided by EUROSTAT.

15.2.1.1. Comparability - over time detailed

Please use below table for explaining b)-flags (breaks in time series):

 

Year (of the break in series) Questionnaire table(s) Columns (NACE Rev. 2 activity, households etc.) Rows (natural energy inputs, energy products, energy residuals) Reason for' break in time series'
         
         
         
         
         
         
         
         
         
         
         
         
         
         
15.3. Coherence - cross domain

Not applicable

15.3.1. Coherence - sub annual and annual statistics

Not applicable; reported PEFA data are only annual.

15.3.2. Coherence - National Accounts

PEFA follows the so-called residence principle for Norway and are coherent with ESA tables.

15.3.3. Do you cooperate with national colleagues compiling AEA?

Yes, we cooperate with national colleagues who is responsible for compiling AEA.

15.3.4. Are there compilation elements that PEFA compilers jointly undertake with AEA compilers (e.g. distribution of road transport fuel use and emissions by NACE)?

We have the same datasources as AEA.

15.3.5. Do you report in PEFA imports and exports according to the SEEA-CF concepts for trade in goods (see SEEA-CF section 3.3.3, paras. 3.121 ff., and para. 1.46)?

Yes, to some point.

15.3.6. Do you perform cross-domain plausibility checks between your PEFA data on air transport versus OECD's data on CO2-emissions of air transport?

No, we haven't done that.

15.3.7. Do you perform cross-domain plausibility checks between PEFA data points and corresponding data points in energy statistics (see PEFA validation rules)?

Yes, we do. Many sources for PEFA and energy statistics are the same and we have a common database for the sources.

15.3.8. Do you perform cross-domain plausibility checks between PEFA data points and the corresponding data points in economy-wide material flow accounts (EW-MFA) (see PEFA validation rules)?

No, we haven't dont that.

15.4. Coherence - internal

Eurostat's validation procedures should ensure full internal consistency, at least for the mandatory data points.


16. Cost and Burden Top

The annual operational cost in 2021: 9 510 700 NOK. The sum stated shall cover an approximate total cost for creating figures for publication and reporting.We can not breakdown any further.

Recent and current efforts to improve efficiency: We work to reduce manual operations, more machine controls of the data material. We work continuously to improve questionnaires to respondents and streamline the production system with available tools.

Burden: The total number of hours spent by respondents was approximate 3000 hours.  

Efforts to reduce respondent burden: We work continuously to improve questionnaires to respondents and we replaces figures or questionnaires with administrative register if possible. 

 

 The working time needed for the production of PEFA is about 2 months. 

 

 


17. Data revision Top
17.1. Data revision - policy

Principles for revisions in Statistics Norway

This document describes the overarching principles and guidelines for the revision of published statistics in Statistics Norway. The practice followed for the individual statistics is documented on the relevant statistics’ home page under the tabs “About the statistics” and, where applicable, “About seasonal adjustment” on ssb.no

The principles follow the recommendations in the European guidelines on statistics (European Code of Practice  CoP) along with the accompanying Quality Assurance Framework – QAF and the European statistical system’s guidelines on revision policy for Principal European Economic Indicators – PEEIs. This means that the revisions follow common procedures and principles and are documented and made public.

Published figures may be revised due to errors, but revisions can also be planned. The overarching revision policy described in this document relates solely to the handling of planned revisions. Principles for handling errors are described in Principles for correcting errors in publications in Statistics Norway.

Revisions are planned when new and improved data sources become available (often data in administrative data systems that has arrived late), when adjustments are made to figures in short-term statistics after comparison with the corresponding annual statistics, or when methodologies, classifications or definitions have been changed, for example with a new base year or new weights.

It is useful to distinguish between regular and non-regular revisions. Regular revisions comprise the publishing of final figures that are published after preliminary figures and, for example, revisions as a result of seasonal adjustment. Non-regular revisions cover the main revisions, such as the national accounts, but can also be undertaken for individual statistics.

Principles

The following main principles apply to revisions:

  • The users should know why a revision is being performed.
  • When publishing preliminary figures, details shall be given of when these will be revised.
  • The size of the revisions shall be specified when revised figures are published. When particularly large or unusual adjustments are made, the reason shall be explained.
  • Major changes to methodology shall be notified to the users in advance.
  • Consideration shall be given to whether back calculations/changes shall be made to previously published figures, and if so, what these changes will be.
  • Regular revision analyses shall be carried out to support the continuous improvement of the statistics.
  • Revisions shall be discussed regularly with users.

More details are given below for some of the principles.

Criteria for revisions – why and how

Timeliness and accuracy are two key quality dimensions in statistics. These must be balanced against each other as the accuracy normally increases with a longer production period. This particularly applies to statistics based on registers, where updates may be subject to delays. In sample surveys, it may also be necessary to choose between concluding the data collection early where there is a low response rate and sending several reminders to respondents in order to get as high a response rate, and thus accuracy, as possible. In order to safeguard both the timeliness and accuracy of statistics, regular preliminary figures are published for many of the statistics, and these can be revised once or several times to improve the accuracy. Revision analyses provide a basis for such considerations.

In addition, seasonal adjustment in itself will lead to changes in previously published figures - even though there are no changes in the historical non-seasonally-adjusted figures.

Non-regular revisions/main revisions take place mainly in macroeconomic statistics that are based on a range of statistics. These revisions follow international guidelines, such as those for the national accounts. An important characteristic of such statistics is that they describe the development of the economy over many years. New data sources and methods (which are also reflected in new guidelines) may be incorporated into the statistics every few years in main revisions, which will ensure consistency between different statistical systems and comparability between countries. Such revisions are undertaken in line with a common plan that the users will be informed about in advance, and as early as possible.

Non-regular revisions of other statistics may also be carried out as a result of new data sources and methods. Users shall be informed of all revisions as early as possible.

Preliminary figures

When publishing figures that are preliminary, this should be stipulated in the text and tables. This also applies to the StatBank. When the preliminary figures are replaced by final figures or a later version of preliminary figures, the original figures are normally overwritten in the StatBank. However, the original figures can be stored in separate tables at the request of the user.

For some statistics, preliminary figures are revised several times (e.g. monthly figures for foreign trade of goods, which are updated in each release within a year), while some statistics are not revised even though corrections are made to the data on which the statistics are based (e.g. the population statistics, which are based on the last register status and not revised retrospectively). It is important to consider whether statistics should be revised, and if so, how many times and for what period of time. Revision analyses and discussion with users provide a basis for such considerations.

Revision for each survey

When preliminary figures are published for surveys, this should be stated in “About the statistics” for the relevant statistics. A description shall be given of regular revisions and planned major revisions. The procedure for the revision of seasonally-adjusted series should also be described in “About seasonal adjustment.” “About the statistics”/”About seasonal adjustment” should also include a description of regular revision analyses.

Discussions with users

Methods for the revision of published figures shall be discussed regularly with the users of the relevant statistics. For statistics with an advisory committee, this should be a natural point on the agenda.

 

17.2. Data revision - practice

See 17.1

17.2.1. Data revision - average size

Will be calculated and provided by EUROSTAT.


18. Statistical processing Top
18.1. Source data

Data sources used to produce physical energy flow accounts are described in the following sub-concepts.

18.1.1. Which are the main data sources you employ for the use of natural energy inputs (i.e. who is extracting)?
  • Figures for production of oil and natural gas from the The Norwegian Petroleum Directorate
  • A survey for the metal industry
  • Calculations for natural gas used in power and heat production.
  • Figures for offshore activity in the extraction of crude oil and natural gas, and associated services industry are retrieved from EEH which is a national database for reporting for the businesses in the petroleum sector.
  • A wood survey
  • Electricity statistics, annually
18.1.2. Which are the main data sources you employ for supply of energy products (e.g. electricity, refinery products etc.)?
  • Electricity statistics, annually
  • Production of oil and natural gas from the The Norwegian Petroleum Directorate
  • External trade statistics, annual
  • Refinery statistics, annually
  • Statistics for the energy use in the industry sector, annually
  • District heating statistic, annually
  • Biogas statistics for domestic use, annually
18.1.3. Which are the main data sources you employ for the transformation use by energy transforming entities (NACE 2-digit divisions)?
  • District heating statistic, annually
  • Refinery statistics, annually
  • Electricity statistics, annually
18.1.4. Which are the main data sources you employ for the end use by end user entities (including non-energy use)?
  • Electricity statistics, annually
  • Statistics for the energy use in the industry sector, annually
  • District heating statistic, annually
  • Biogas statistics for domestic use, annually
  • Natural gas, domestic use, annually
  • Sales of petroleum products and biofuels, annually
  • Statistics for the energy use in the industry sector, annually
  • Consumption figures for offshore activity in the extraction of crude oil and natural gas, and associated services industry are retrieved from EEH which is a national database for reporting for the businesses in the petroleum sector.
18.1.5. Which auxiliary data do you use to develop 'distribution keys' to assign energy use to the detailed breakdown of production activities (NACE 2-digit divisions) and categories of household consumption?
  • The statistics over business activities
  • Data from the Norwegian tax administration
  • Electricity statistics, annually
  • Transport statistics
  • Statistics for the energy use in the industry sector, annually
18.1.6. Do you use the PEFA builder? If yes: for populating the PEFA Tables, or for control only?

No. We have tried several times but it stopped because of the figures in the different questionnaires for the energy balances.

18.1.7. Which data sources do you use to make adjustments for the residence principle?
  • Sales of petroleum products and biofuels, annually
  • Aviation statistics
  • Calculations for consumption in the foreign shipping abroad
  • Several other adjustments are made, for example: Consumption of steam and waste heat, waste, gas faded on oil fields, terminals and landfills, as well as deaeration/leakage of natural gas and crude oil on oil fields.
18.2. Frequency of data collection

Annually

18.3. Data collection

 

18.4. Data validation

The data sources are checked against other relevant data, the statistics are compared with previous periods. There is a constant work to check for inconsistencies in the statistics.

 

18.5. Data compilation

The main datasources:

  • District heating statistic, annually
  • Biogas statistics for domestic use, annually
  • Natural gas, domestic use, annually
  • Sales of petroleum products and biofuels, annually
  • Electricity statistics, annually

 

18.5.1. Imputation - rate

Not applicable.

18.5.2. Do you assign all supply of electricity and heat to NACE D35, or do you assign some to other NACE divisions than D35? Is the assignment you did fully aligned to the ESA monetary supply table submitted by your country?

We have also some figures in E37-39, CHP plants that produce electricity as a secondary activity. The figures are correct, even though our monetary supply tables only show supply of electricity in NACE D.

18.5.3. Which method do you use for the allocation of road transport energy use to NACE industries and households?

Consumption of natural gas and biogas for road transport is collected through annual form-based surveys of businesses that sell natural gas and biogas for use in Norway. Consumption of petroleum products and biofuels is covered by the annual statistics on sales of petroleum products and biofuels. In our system for the energy accounts and the energy balance, it is assumed that road diesel, motor gasoline and LPG sold to these industries are used for road transport and that off-road diesel, light heating oil and heating kerosene are used for stationary purposes in the industries. For electricity used in road transport, calculations are made based on driving distances.

18.5.4. Which method do you use for the allocation of energy use to detailed service industries (i.e. NACE 2-digit divisions 55-98)?

The main datasources:

  • District heating statistic, annually
  • Biogas statistics for domestic use, annually
  • Natural gas, domestic use, annually
  • Sales of petroleum products and biofuels, annually
  • Electricity statistics, annually

 

18.5.5. How do you ensure a coherent assignment of energy use to economic activities (i.e. the use of energy products by a given production activity (NACE A*64 division) reported in PEFA must be coherent with the emissions reported in AEA)?

We use the same datasources and calculations and we collaborate with the team that works with the AEA.

18.6. Adjustment

Not applicable.

18.6.1. Seasonal adjustment

Not applicable.


19. Comment Top


Related metadata Top


Annexes Top