Current status of WP3: smart meters - Europa€¦ · Overview of the smart meters and case studies Overview of countries’ situation Planning of the content, deadlines and responsibilities

Current status of

WP3: smart meters Maiki Ilves, Statistics Estonia

Partners: Statistics Austria, Statistics Denmark, Statistics

Sweden

ESSnet Big Data meeting

13-15 June 2016 Tallinn

Outline

Overview of the smart meters deployment in Europe

Data access in partner countries

Description of the data

Input data quality

First visualisations

Objectives of the synthetic data

Next steps

Maiki Ilves 21.06.2016

Communication

First face-to-face meeting in Tallinn 30.03-01.04

Overview of the smart meters and case studies

Overview of countries’ situation

Planning of the content, deadlines and responsibilities

of Report 1

WEBEX meetings in every three weeks

All content will be added directly to Wiki space, editing also

in Wiki.

One WEBEX meeting with JRC (smart grids and energy

modelling)


Smart Metering deployment in the

European Union The Commission issued the document

"Benchmarking smart metering

deployment in the EU-27 with a focus on

electricity", jointly drafted by DG ENER

and JRC, as COM(2014)356.

This report gauges progress in the

deployment of intelligent metering in the

EU Member States on the basis of

economic assessments of long-term

costs and benefits (CBAs) of electricity

and gas smart metering

Maiki Ilves 21.06.2016 http://ses.jrc.ec.europa.eu/smart-metering-deployment-european-union

Deployment plans of smart meters


Smart meters situation in Austria

Deployment strategy: Mandatory.

Each customer can opt out regarding getting the smart

meter.

Metering points in the country: 5.7 mln.

Implementation speed: 2012-2019

Penetration rate by 2020: 95%

Data refresh rate: 15 minutes

No central data hub in the country, over 100 grid providers

and about 130 energy providers.


Smart meters situation in Denmark

Deployment strategy: Mandatory roll-out

Number of metering points in the Country: 3.28 mln.



Data refresh rate: 15 minutes

One datahub owner: Energinet


Smart meters situation in Estonia

Deployment strategy: Mandatory roll-out

Number of metering points in the Country: 709 000



Data refresh rate: 1 hour

One datahub system owned by Elering that manages the

exchange of electricity metering data between market

participants.

Maiki Ilves

21.06.2016

Smart meters situation in Sweden

Deployment strategy: Voluntary

Number of metering points in the Country: 5.3 mln.



Data refresh rate: 1 hour

No central datahub yet, but Svenska kraftnät as

responsible for the development of a centre information

model of the electricity market has started the process of

planning hub.


Data access (1)

Access to data

Estonia

Access to 2013-2014 hourly data (2015 data soon)

722 000 metering points

Amount 1.5 TB, recordings per a year ca 6,2 billion

Access process: from 2013 until March 2015

Denmark

Access to 2013-2014 15-min interval smart meters data

Agreement in process to get data more frequently


Data access (2)

No access to data

Sweden

SCB has contacted Svenskenergi for accessing the smart

meter test data. Svenskenergi is electricity branch

association with around 380 companies.

Austria

No attempt to access smart meters data so far. Mainly

technical barriers.


Plans of accessing smart meters data

NSI Plans to explore Smart

Meters data Legal obstacles

Data hub

available

Sweden Yes Yes No

Norway Yes No Under construction

Hungary Yes No No

France Yes Yes No

Lithuania No No No

Cyprus No No No

Bosnia and

Herzegovina No No No

Poland Yes Yes No

Belgium No No No

Germany Yes Yes No

Portugal No No No

Luxembourg No NA No

the former Yugoslav

Republic of Macedonia No NA No

Denmark Data received No Yes

Estonia Data received No Yes

Austria No Yes No Maiki Ilves 21.06.2016

Smart meters data: structure

Estonian data structure:

4 main tables

Metering data – main table

with hourly consumptions

Metering points – location

Agreements – contract info

Customers – contract holder

information

Maiki Ilves 6/21/2016

Input data quality Indicator

Assessment

Coverage of smart meters 54% of businesses, 48% of households (Estonia, 2014)

Undercoverage

Data hub does not have information about the amount of electricity

produced (and consumed) by private producers.

Percent of units that are adjusted

The metering data is not changed in Statistics Estonia and no

adjustments are made in readings.

Percent imputed

No imputation is applied and data is handled in read only mode.

Periodicity

In Estonia, data is provided yearly at the moment - higher frequency is

possible in the future.

Delay

In Estonia, the network operators have 3 months time for correcting

the data, corrected data can be provided after that period.

Common units

In Estonia there is no other source for hourly data, aggregated

consumption information available for businesses through survey. Maiki Ilves 21.06.2016

First visualisations (1) Average monthly electricity consumption of private persons, January 2014

kW/h

0 – 99 (638)

100 – 199 (841)

200 – 299 (1165)

300 – 499 (1380)

500 – 999 (574)

1000 < (109)


kW/h

0 – 99 (835)

100 – 199 (2264)

200 – 299 (1203)

300 – 499 (354)

500 – 999 (45)

1000 < (6)

Average monthly electricity consumption of private persons, July 2014

Objectives of synthetic data

1. Testing (playground) of the structure and volume of a smart

meter dataset.

2. Generating demo output with “realistic” results.

3. Test, scale and develop (new) statistics and algorithms

where linkage to enterprise or household characteristics is

necessary.

The minimal requirement is to reproduce the original structure,

whereas the best solution for a synthetic dataset is to reproduce

close-to-reality results for different aggregation levels.


Next steps

Most of the content for Report 1 is available in Wiki. It will

be edited and ready for review board by the end of June.

Report 1 will be delivered to Eurostat by the end of July.

Changes in IT infrastructure to support data analysis

Linking electricity data with business register (in Estonia

also with population register).

Computation of statistics and comparision with reference

data

Next face-to-face meeting in Vienna,14-15 Nov.


Challenges

Linking will be challenging due to the

Unit problem: metering point vs legal and private

person (1 metering point can refer to several legal or

private persons)

Representativity problem: contract holders are not

always the consumers (e.g. renters not represented)

Unify the data structure to have common schema to

facilitate better collaboration.


Discussion points

Output quality framework – are we aiming for common

approach/list of indicators in all pilot studies?

Questions?



Documents

Current status of WP3: smart meters - Europa€¦ · Overview of the smart meters and case studies Overview of countries’ situation Planning of the content, deadlines and responsibilities