The use of administrative data sources for energy data collection
Download
Report
Transcript The use of administrative data sources for energy data collection
Admin data
The use of administrative data sources in the Netherlands
May 12, 2016
Otto Swertz
2
What are administrative data?
1. Primary source vs secondary source (collected by the
statistical authority or collected elsewhere)
2. Data from an administration or from the
administration?
3. Only data on more than one company?
4. Microdata or aggregated data?
5. How do open data and big data fit in?
3
What are administrative data?
Our choice of definition
Adminstrative data are all data which are collected and
managed by another organisation, but are useful for
statistics.
We call this secondary data sources to distinguish them
from the primary sources.
4
Used admin data in the Netherlands
–
–
–
–
–
–
Grid operators for gas and electricity.
National geological institute for mining activities.
Subsidy register for renewables.
Trade statistics.
Market authority for grid losses.
Motor vehicle registration.
In development/wished for:
– Registry of solar panels
– Gas used for CHP (no energy tax on it)
– Access duty for transport fuels
5
What is in the statistics law
– It says more or less: we can get all data which are
somehow obliged by the government. If they are public,
then the organisation will have to deliver. If they are
private, they have to be added to the law.
– Client files ar held privately and are taken up in an act.
– For every new dataset demanded by the government, but
held privately the minister will have to add such an ‘act’.
6
Classifying admin data sources
Open data
Confidential data
Held publicly
Held privately
Governmental,
obliged
No problem
Statistics law
Problem
Commercial,
voluntarily
No problem
Nice to have
Nice to have
7
Classifying admin data sources
Open data
Confidential data
Held publicly
Held privately
Governmental,
obliged
Gas/oil
production, grid
operators
Tax data,
customs,
population
Use per
connection, low
tax rate use
Commercial,
voluntarily
Climate data
…
…
8
Best paractice: using client files
– Dutch Energy Balance (NEH)
• Manufacturing industry & energy companies:
questionnaires
• Agriculture/homes: external sources
– Energy consumption for services sector?
Black hole!
– Solution?
Request from the energy distribution companies their
administrative data with client connections: the “client
files”.
9
Why use client files?
– Client files contain records with all gas and electricity
connections within the Netherlands
– 11 regional and 3 national distribution companies
– More than 8 million electricity connections
– More than 7 million gas connections
– No administrative burden on respondents
– Usability for statistical purposes?
10
What’s in the files?
– Homes / businesses / pumping-engines / cell phone
towers / overhead contact wires (train), etc.
– How to identify connections? (EAN code)
– Records contain address data:
postal code, house number, extension
– Linking to other administrative data with known units
– Distinction between houses and businesses
11
Energy consumption service sector
12
Electricity consumption
Information and communication sector
13
14
15
Other households
Single parent household
Married couple with children
Unmarried couple with children
Married couple without children
Unmarried couple without children
One-person households
electricity
(kWh)
Client Files households
6000
5000
Bouwperiode
1960-1980
4000
3000
2000
1000
0
detached
Semi detached
Corner house
Row house
apartement
apartement
Row house
Corner house
Semi- detached
detached
Specific energy consumption
Natural Gas
Government
services
Commercial
services
16
Concluding remarks
– Client files: very good source for energy statistics!
– Solve linking problems and connect with other files
– Solve assignment problems (how to cope with
differences among registers)
– Use spatial information (GIS)
‐ May provide solution for assignment (block heating,
greenhouses)
– But: quality of individual records
‐ Plausibility check
‐ Special attention for (too) big mutations: error?
17
It brings opportunities
– Use for regional climate actions
– For determining specific energy consumption
– For classifying neighbourhoods with ‘succes with energy
saving projects’
18
Questions?
19