1MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

Developing energy consumption data to meet users needs

PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

MESH PROJECT

ESSnet workshop, Rome, December 2012

Duncan Millard

Head of Statistics, Department of Energy and Climate Change UK

2MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

Why MESH?

• Legal

• Wider policy and local needs

• What MESH will deliver

• Progress to date

• Next Steps

• Observations on process

3MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

Legal• Energy Statistics Regulation 1099/2008 (formalised annual and monthly reporting)

• Requirement for the development of more data on Energy consumption and Efficiency

• First initiative would be in household sector

• Task force (AT, FR, DE, DK, UK)

• Establish the needs - user requirements

• Set up a review of national approaches – questionnaire

• Eurostat funding supported the development of household surveys and other approaches in 2010 and 2011 (SECH)

• Results of all prior work identified:

• Variety of methods applicable

• Key requirement for common definitions

Led to application to lead an ESSnet and hence MESH

4MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

Wider and local needs• Increased focus on importance of energy efficiency and energy use at

EU level

• Renewables Directive

• New Energy Efficiency Directive

• Increased energy prices

• Energy security

• Need to better understand energy efficiency and energy use – can include

• Monitoring national or local policies

• Understand further potential

• Growth/investment

But - Constraints on expanding statistical work

So - Need smart solutions

5MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

1. Identifying the situation and the EU MS users’ needs in relation to the TF 2008.

2. A global inventory of practices for the statistics in the residential sector, at EU level and wider.

3. A manual providing greater insight into the energy use in the residential sector, the different statistical techniques applied, the good practices and methodologies used and the suggestions of options to use according to the users’ starting-off situation.

4. A training session for all the users in the MS to enable them to develop future detailed information requirements for the residential sector.

5. Dissemination of the information, the manual and the good practices found.

Project’s Objectives

Participant name Country Role

Institute for the Diversification And Saving of Energy (IDAE) Spain Coordinator/Partner

Statistics Austria (ST AT) Austria PartnerStatistics Netherlands (CBS) The Netherlands Partner

Statistical Office of the Republic of Slovenia (SORS) Slovenia Partner

Department of Energy and Climate Change (DECC) United Kingdom Partner

NSi consortium

MESH a group from ESWG - Far from all experts on the project

6MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

What MESH will deliver?

• Recognition that a variety of approaches are available and no one solution will meet all countries needs nor approach to gathering data

• Will cover strengths and weaknesses of a variety of approaches

• Household surveys

• Business surveys

• Admin data

• Modelling

• Insitu monitoring

• Aims to promote new ideas and approaches, that countries may want to adapt

• Key will be practical examples “good practices”

• But will propose common definitions

• Key element a training course in October 2013

• Look at practical solutions with opportunity to discuss local issues with wider group and promote new ideas and co-operation

7MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

Timetable

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

WP1: Management

General Coordination (technical, administrative, Interim report Final report Planning activities & control Working meetings Communication to NsiWP2: Review of current international methodological handbooks, guidelines and practices Global Inventory Compendium Inventory Standardize methodology Operational list of definitions Manual structureWP3: Produce the chapters of the manual Chapter drafts Manual draft Draft review General review Final review Eurostat approvalWP4: Dissemination (Part 1) - Production of a high quality publication Pdf draft Review pdf draft Eurostat approval Production pdfWork package 5: Dissemination (Part 2) - Training Logistic Training material: manual, exercises and assessment Training (teachers, etc.)

Notes:

Tasks Word package Working meetings and milestones Reports

Working meeting transferred

ESSNet project Time schedule

Month

8MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

What have we done so far?• Update questionnaire of TF-2008 on methodologies to produce energy statistics in the residential

sector to cover the requirements of the TF-2008

• Added fuel poverty and data matching/linking to the request

• 25 responses to date from EU states, 7 from other countries and 2 int organizations

• Requests for good practices issued to EU states at working group on 9/11/12

• Contract for Technical Assistance to

• provide a summary of approach taken in MS on energy statistics in residential sector, good practices identified and standardization of methodologies.

• report from the contractors to the group to inform work, not an output of the project

• Working on new definitions where not agreed already by international energy manuals - options to be discussed included:

• Methodology to develop will be valid for both main and second residence, but focus on primary

• Private cars aren’t object to the Manual because are reported in the transport sector. But can be sensible incorporate in the survey some questions about private cars.

• Statistics should be about energy consumption in households. It’s not possible to include energy consumption associated to business related activities

• Rest of consumption (swimming pool, lawn mower, outdoors heaters, etc.) should be reported, but as other consumption

9MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

• All partners and Eurostat agreed a provisional contents of ManualWhat have we done so far? (cont.)

Chapter Title

0 BACKGROUND & INTRODUCTION

1 SITUATION OF ENERGY STATISTICS HOUSEHOLDS IN UE

2 SERVICES AND DEFINITIONS

3 STRENGTHS & WEAKNESSES

Surveys business

Surveys consumers

Admin data

Modelling

"In situ" measurements

Integrated approach

4 EXAMPLES & GOOD (COUNTRY) PRACTICES

Surveys business

Surveys consumers

Admin data

Modelling

"In situ" measurements

Integrated approach

5 CASES OF STUDY

Austria

Germany

Netherlands

Slovenia

Spain

United Kingdom

6 FROM NATIONAL PRACTICES TOWARDS COMPARABILITY OF DATA

7 OTHER ISSUES

RES

Fuel poverty

Data matching

8 REFERENCES

9 ANNEX

10MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

The first results:Draft analysis of main Data Acquisition Systems in the Household Sector in EU

Countries

67

26

16

84

77 %

121 systems of data acquisition

11MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

AT BE BG CY CZ DK EE FI FR DE EL HU IE IT LV LT LU MT NL PL PT RO SK SI ES SE UK

1.1 Housing stock: Ownership type - - S S - - S S - - - - - - - S - - - - - S - - - - -

1.2 4_14_a1 Housing stock: Type of dwelling S S/A S S S S/A S S/A S S S S S S S S S/A S S/A S S S - S S/A/IS S S/A

1.3 4_14_a2 Housing stock: Building age S S/A S S S S/A S S/A S S S S S S S S S/A S S/A S S S - S S/A S/IS S/A

1.4 4_14_a3 Housing stock: Insulation? S S/A S S S S/A S - S - S - S S - S A - S/A S S S - S S S S/A

1.5 4_14_a5 Housing stock: Heated floor area - S/A S S S M/A S S/A S S S S - - S S A - S S - S/M - S S/IS S/IS A

1.6 Housing stock: Cooled surface - - S S - - - - - - - - - - - - - - - - - S - - S - -

2.1 4_14_b2 Household: Size S/M S S S S S/A S S/A S S S S S S S S S S S/A S S S - S S/A/IS S/IS S/A

2.2 4_14_b3 Household: Income S S S S - S S S S S S S S - - S - - S/A - S - - - S S/IS S/A

2.3 Household:Intensity occupation dwelling S - - - - S - - - - - - - - - S - - S - - S - - - S -

3.1 4_14_c1 EC/Expenditure Energy Commodity: Type S/M S/M/A S S/M S S/A S S/M/A S S S/M S S S S/M S S S S/A S S S/M - S S/A/IS S/IS S/M/A/IS

3.2 4_14_c2 EC/Expenditure Energy Commodity: Quantities S S/M/A S S/M S S S S/M S S S/M S S - S/M S S - S/A S S S - S S/A/IS S/IS S/M/A/IS

3.3 4_14_c3 EC/Expenditure Energy Commodity: Expenditure S - S S S - S S S S S S S/A S S S S S S/A S S - - S S/IS S A/IS

4.1 Main4.1.1 4_14_d1 Fuel type: Space heating S/M S/A S S S S S S/M S S S S S S S/M S - - S/A S S S - S S/A/IS S/IS S

4.1.2 4_14_e1 Space heating system: Type S S/A S S S S/M S S/M/A S S S S S S S S S - S/A S S S - S S/A/IS S/IS S/A

4.1.3 4_14_e2 Space heating system: Age S S/A - S - - - - S S S S - S S - - - - S S - - - S S/IS S

Space heating system: Availability thermostats - - - S - S - - - - S - S S - - - - S - - S - - - - -

4.2 Suplementary4.2.1 4_14_d1 Fuel type: Space heating S - M - A - I - S - M - A - I - S - M - A - I - S - M

4.2.2 4_14_e1 Space heating system: Type - S - M - A - I - S - M - A - I - S - M - A - I - S -

4.2.3 4_14_e2 Space heating system: Age S - M - A - I - S - M - A - I - S - M - A - I - S - M

Space heating system: Availability thermostats - S - M - A - I - S - M - A - I - S - M - A - I - S -

5.1 4_14_d2 Fuel type: Water heating S S/A S S S S S S/M S S S S S S S/M S S S S/A S S S - S/M S/IS S/IS S

5.2 Hot water: Tank size - - S S - S - - - - S - - S - - - - - - - S - - - - -

Hot water: Age - - - S - - - - - - S - - - - - - - - - - S - - - - -

Hot water: Type - - S - - S - - - - S - - S - - - - - - - - - M - - -

6.1 4_14_d3 Fuel type: Cooking S S/A S S S S - S S S S S - S S S S S S/A S S S - S S/IS S/IS -

6.2 Cooking: Type S - - S - - - - - - S - - S S S - - - - - S - - - - -

6.3 Cooking: Age - - - S - - - - - - S - - S S - - - - - - S - - - - -

S=Survey, M=Modeling, A=Administrative Data, I=Integrated Approach; IS= In Situ

4 Space heating

Hot water5

6 Cooking

Housing Stock Characteristics

Household characteristics

1

2

3

Consumption/expenditure of

energy commodities

Provisional

The first results: (cont.)Draft methods uses by EU countries (1/2)

12MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

The first results: (cont.)

AT BE BG CY CZ DK EE FI FR DE EL HU IE IT LV LT LU MT NL PL PT RO SK SI ES SE UK

7.1 4_14_f1 Electrical appliances: Type/number S S S S/M S S S S/M S S S - S S S/M S S S S S S S - S/M S/IS S/IS M

7.2 4_14_f1 Electrical appliances: Type/number S S S S/M S S S S/M S S S - S S S/M S S S S S S S - S/M S/IS S/IS M

7.3 Electrical appliances: Age - - - - S - - - - - - - - S S S - - - - S S - - S - -

8.1 Air Conditioning: Type - - S S - S - - - - S - - S S - - - - - - S - - - - M

8.2 Air Conditioning: Age - - - S S - - - - - S - - S S - - - - - - S - - - - -

9.1Efficiency tech: Labelled equipment by appliance type S - S - - S S - - - - S - - - S - - - S S - - S S IS -

9.2 Efficiency tech: High efficiency condensing boilers - - s - - - - - - - - - - - - - - - - - - - - - - - -

Efficiency tech: High efficiency lamps S - - - - S S - - - - S S S S S - - S S S S - S S IS S

9.3 Efficiency tech: Retrofitting dwelling - - S - - - - - - - - - - - S - - - - - - - - - S -

9.4 Efficiency tech: Retrofitting heating - - S - - - - - - - - - - - - - - - - - - - - - S -

9.5 Efficiency tech: Retrofitting air-conditioning - - S - - - - - - - - - - - - - - - - - - - - - - - -

10.1 Energy Service Demand: Intensity use heating - - S S - S - S/M - - S - - - - - - - - - - S - - - - -

10.2Energy Service Demand: Intensity use air conditioning - - S S - S - - - - S - - - - - - - - - - S - - - - -

10.3Energy Service Demand: Intensity use thermostats heating - - - - - - - - - - S - - S - - - - S - - - - - - - -

10.4Energy Service Demand: Intensity use thermostats cooling - - - - - - - - - - S - - S - - - - - - - - - - - - -

11.1 4_14_g1 Renewable: Solar S S/A S S S - - S S S S S S/A S S S S/A S S/A S S/A - - S S S A

11.2 Renewable: Biomass - - S S S - S - - - S/A - - S - - - - - S - S - - S IS -

11.3 4_14_g3 Renewable: Heat pumps S S/A S S S S/A S S/M S S S S S/A S S S A - S/M/A S S - - - S S/IS A

12.1 Energy consumption end-use: Space heating S - S M S S/M - M S S S - - S - S - S S - S M - M S/IS S M

12.2 Energy consumption end-use: Water heating S - S M S - - M S - S - - S - S - S S S S M - M S/IS S M

12.3 Energy consumption end-use: Cooking S - S M S - - M S - S - - S - S - - S - S M - M S/IS - M

12.4 Energy consumption end-use: Space cooling - - S M - - - - S S S - - S - - - - - - S - - - S/IS - -

12.5 Energy consumption end-use: Lighting S - - M S - - M S S - - - S - - - S - - S - - M S/IS - M

12.6 Energy consumption end-use: Electrical appliances S - S M S - - M S S - - - - S/M - - S - - S - - M S/IS IS M13 Energy poverty Fuel/Energy poverty - - - - - - - - S - - - - - - - - - - - - - - - - - M

Unit/specific consumption data: use/service S - - - - - - M - - M - - - S/M - - - S/M - - M - M - - M

Unit/specific consumption data: electrical appliances S - - M - - - M - - - - - - S/M - - - - - - - - M - - M

Unit/specific consumption data: square metter of dwelling M - - - - M - - - - - - - - - - - - - - - M - - - - -

S=Survey, M=Modeling, A=Administrative Data, I=Integrated Approach; IS= In Situ

11Penetration of

renewable energy sources

Energy consumption by end-use based on modelling

12

14Unit/specific consumption

data

8 Air conditioning

Penetration of energy

efficiency technologies

9

10Energy service

demand

7Electrical

appliances

Draft methods uses by EU countries (2/2)

Provisional

13MESH PROJECT: PRODUCTION OF A MANUAL FOR STATISTICS ON ENERGY CONSUMPTION IN HOUSEHOLDS

Observations on ESSnet process (to date)

• Worked well

• Project is driven by real need and has a clear deliverables

• Co-operation and team work in project teams – a real success

• Ideas developed and expanded through discussions

• Support from Eurostat helpful

• Could be improved for future EESnets

• Projects only meet after contract agreed – funded pre-meet could assist the project

• If deliverables are clear then process (WPs) should be flexible within set cost

• Could final publications (pdf) be produced by Eurostat, who have more experience than partners and so allow more time on the details of the project.

• How to keep the output/report up to date

• Admin burden remains too high

14

Thank you very much for your attentionand

all questions and comments are welcome