EU - Me EU Merci Conference Good Practices of Energy Efficiency in - - PowerPoint PPT Presentation

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EU - Me EU Merci Conference Good Practices of Energy Efficiency in - - PowerPoint PPT Presentation

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EU-MERCI EU coordinated ME thods and procedures based on R eal C ases for the effective implementation of policies and measures supporting energy efficiency in the I ndustry Fostering the growth of energy efficiency in the EU industry EU - Me EU

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EU-MERCI

EU coordinated MEthods and procedures based on Real Cases for the effective implementation

  • f policies and measures supporting energy efficiency in the Industry

Fostering the growth of energy efficiency in the EU industry

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

EU EU - Me Merci Conference

DDI Marcus Hofmann, Austrian Energy Agency Rome, GSE Headquarters, February, 23rd 2017

www.eumerci.eu Good Practices of Energy Efficiency in the European Industry processes Policies of incentivisation and implementation

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

Co Contents

  • Enabler data sources
  • EU – Merci information fields
  • The challenge
  • Harmonization process
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

Enable Enabler Databas abases

Austrian Energy Agency (AEA)

  • KPC (Kommunalkredit Public Consultant) database
  • National subsidy scheme
  • 35.579 projects from 1993 to 2014
  • ~ 1300 measures for EU-Merci
  • ~ 42 information fields
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

Enable Enabler Databas abases

Austrian Energy Agency (AEA)

  • Klimaaktiv best practices database
  • Awareness raising for energy efficiency
  • 2012 ongoing
  • ~ 132 best practices
  • Information coming from audits
  • 92 measures for EU-Merci
  • ~ 32 information fields
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

Enable Enabler Databas abases

Carbon Trust (CBT):

  • Close out - capital and non-capital

recommendations

  • since 2002 - 2010
  • 200.000 recommendations, derived from

35.000 audits

  • Loans programme – focused on SME

enterprises (payback < 5 years)

  • since 2004
  • 6.000 recommendations
  • ~ 1195 measures for EU-Merci
  • ~ 36 information fields

Sector

  • N. Of available records

NACE C10-11 316 Food&Beverage NACE C17 116 Pulp&Paper NACE C19 8 Coke and Petrochemical NACE C20 185 Chemical NACE C23 25 Glass NACE C23 36 Ceramic NACE C23 26 Cement NACE C24 40 Iron&Steel NACE C24 67 Other metals NACE C25-28 376 Machinery TOTAL 1195

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

Enable Enabler Databas abases

Polish National Energy Conservation Agency (KAPE):

  • White certificate mechanism
  • Information from audit cards - ~ 900

measures

  • for ~50 more detailed information

available (KAPES audits)

  • ~ 19 information fields
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

Enable Enabler Databas abases

Ricerca sul Sistema Energetico (RSE):

  • Information from Energy efficiency

projects elaborated by RSE.

  • Covering from 2005 until 2016.
  • Detailed measure and baseline

information.

  • Information about verification of

savings available.

  • ~ 800 measures

Covered Sectors Audited by RSE

NACE C10-11 Food&Beverage NACE C17 Pulp&Paper NACE C19 Refinery NACE C20 Chemical NACE C23 Non metallic minerals NACE C24 Iron, Steel and other metals NACE C25-28 Machinery

TOTAL ~ 800

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

Enable Enabler Databas abases

Information from questioner

  • Information on implementation of

EEM in EU.

  • Target groups: companies, ESCO‘s,

assoziation‘s

  • July –Oct 2016
  • 10 Information categories
  • 158 replies from 9 countries
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

EU EU – Me Merci ci data fields

Identified Key-Information

  • Information on the company which implemented the measure
  • Country, Sector, Size
  • Information on the measure itself
  • Year of implementation, technical lifetime, taxonomy, description…
  • Information on savings
  • Final energy savings / year, related energy carrier, baseline information…
  • Information on investment and energy cost
  • Overall investment cost, subsidy share, energy price
  • EED related Information
  • Reference scheme
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

General ID Source-DB Source-DB Key Company Location NACE Code Level 2 Nace Code Level 3 Nace Code Level 4 Company Size

Measure Implementation Status Implementation year (YYYY) Technical Life time (yrs) L1 - Group level L2 - Generic L2 - Sector Specific L3- Generic -Main technology -Description L3 - Generic - Main - N/R/M L3- Generic -Secondary technology - Description L3 - Generic - Secondary - N/R/M L3- Sector Specific -Main technology - Description L3 - Sector Specific - Main - N/R/M L3- Sector Specific -Secondary technology - Description L3 - Sector Specific - Secondary - N/R/M Measure Description Original Measure Description Translated Kind of Measure (Case) energy carrier before 1 energy carrier before 2 energy carrier before 3 energy carrier after 1 energy carrier after 2 energy carrier after 3

EU EU – Me Merci ci data fields

Identified Key-Information

Baseline & Implementation baseline category baseline consumption 1 baseline consumption 2 baseline consumption 3 Savings Final energy savings 1 (tOE/yr) Final energy savings 2 (tOE/yr) Final energy savings 3 (tOE/yr) Final energy savings TOTAL (tOE/yr) saving calculation approach Investment & Energycost Overall Cost of implementation (EUR) Investment Subsidy Qualitative Investment Subsidiy Quantitative Energy Price 1 Energy Price 2 Energy Price 3 EED

  • Ref. Scheme

Company obliged to EED Measure Identified through external Audit (EED Article 8)

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

EU EU – Me Merci ci data fields

Identified Key-Information

Company Measure Baseline & Implementation Savings Investment & Energycost EED ID Country and Region (NUTS Code Level 1) NACE Class (00.00) Company Size Overall energy consumption Implementation year (YYYY) Technical Life time (yrs) L1 - Process phase L2 - Process sub-phase L3 - System Technology Measure Description energy carrier baseline category baseline description baseline consumption saving calculation approach Saving measurement and Calculation description Final energy savings ((Energy carrier unit)/yr) Overall Cost of implementation (EUR) thereof Investment subsidiy (if any, EUR) (including remuneration) Energy Price
  • Ref. Scheme
Company
  • bliged to EED
Measure Identified through external Audit (EED Article 8) Example Data sets 1 AT-1 20.52 250 13040000 2012 8 Supply of steam Steam distribution variable-speed drive (VSD) Variable speed drive installed for steam system pump Electricity before/after As a baseline .reference the energy consumption of the old Pump without VSD was chosen (IE2 Moter, 2,5 kW, ). Baseline stays constant over the whole lifetime of the measure. 5000 Metered savings Before-after measurement of energyconsumption and relevant driver variables, Adjustment with a multiple regression model. estimated Loadprofile with 4000 h/yr. The estimation is based on a spot-measurement for one week. 48 17600 3500 2000 EED related yes no 2 (RSE) ITG-2 20.13 150 NA 2015 15 Cooling Plant Pumping system system variable-speed drive (VSD) Installation of 4 inverters to drive electric motors of 4 pumps of 4 different circuits Electricity before/after According to 16T sheet Italian WC: Reference energy consumption at specified speed of the pump, etc… Adjustment of the inverter frequency Adjustment of the throttling etc…………… 198 Metered savings Based on continuos measurements of flow, power and hours of operation after measure implementation, the real energy consumption is computed and the difference with the pre-measure parameters calculated 62 30.000 18.000 2320 White Certificates no no 3 4 Description of the data field NUTS code Level 1, refering to Country and Region in which the Measure is Implemented NACE Code as detailed as available Number of Employees of the Company (Legal Entity), not
  • f the specific factory
Total useful energy consumption per year (referred to the Energy Carrier) Year in which the Project was implemented Period of real energy savings Useful energy system that is targeted by the measure (e.g. Steam Supply Lighting, Space Heating…) Sub-System that is targeted by the measure (depends
  • n the Useful energy
category, e.g. Steam and Steam distribution, or Space Heating and Heat Conversion) Technology/component through which the measure is concretely
  • implemented. E.g. Steam
supply -- Steam Distrubution -- VSD Textual, detailed Description of the measure Energy Carrier in which energy savings are achieved Categorical information what energy consumption is used as baseline consumption detailed textual further information of how the baseline was determined (e.g. Reference period, etc.) Energy consumption referred to the baseline pre-defined conditions Categorization of calculation approach according to EED detailed futher information (evtl. with formulas an algorithms) of how the savings were calculated. Annual Final energy saving Total investment neccesary to implement the EE measure Receipts from investments supporting measures Energy cost of the energy carrier in the year the measure was implemented and for the relevant Country EE mechanism, Alternative measure Whether the company is within the typology
  • bliged by the EED
Information on if the measure was identified by an audit that was initiated by EED Article 8 (e.g. EN 16247). Data field Input Value / Unit NUTS Code Level 1 (Format: Two letter national code - 1 digit numerical region code, e.g. "AT-1") 00.00 / 00.0 / 00 Number of employees numerical [TOE/y] Year (0000) Number of Years Predefined Categories according with BREF Predefined Categories according with BREF Predefined Categories according with BREF Free textual description Predefined Categories Predefined Categories Free textual description numerical [TOE/y] Predefined Categories Free textual description numerical [TOE/y] Euro Euro Numerical [€/TOE] Yes/no Yes/no Categories (IF the Data field has multiple predefined categories of input values) (t.b.d.) (t.b.d.) (t.b.d.) Electicity Natural Gas Fuel Oil Woody Biomass Coal … a) Legislative Value b) Market Average c) Before (as it was)/After Comparison d) Other Deemed savings Metered savings scaled savings surveyed savings (in accordance with EED Annex V, 1a-d) EED related White Certificate
  • ther EED-related
  • ther specify
Purpose in context of our work For regional analysis (policy/ social conditioning factors) For sectoral analysis Statistical Evaluation of differences in EE project implementation between small / medium / large enterprises Energy / Efficiency Scenarios Incidence of the specific measure on the overall consumption Statistical Evaluation, Legislation referred to and Baseline referred to Calculation of lifetime invest cost To have a common and clear categorization of EE Measures that can be used for statistical analyisis To have a common and clear categorization of EE Measures that can be used for statistical analyisis To have a common and clear categorization of EE Measures that can be used for statistical analyisis Detailed Description (not statistically evaluable, therefore Categorys) To be able to calculate CO2 Emissions and saving effects on primary energy To get infomation about how the savings are computed. To judge reliability of individual datasets Necessary to estimate the impact of savings To get information how the savings are computed. (e.g. from real data or extrapolated data) to jduge the relaiblility of individual datasets Includes monitoring solutions: layout and measurements isssues Value neccesary to judge the cost saving potential
  • f the measure
To get information about cost effectiveness. To estimate the incidence of investments supporting measures To be able to calculate annual energy cost savings, break even etc. To get information about the reason/motivation why the company invested in EE measure. To get information about the reason/motivation why the company invested in EE measure. To get information about effectiveness of EED. Data Availability CT Close out database level 1-3 needs to be converted into employees or fixed by EU Merci Energy Spend per year (£/yr) - would need to be converted Whats the difference between persistence years and useful lifetime? - Useful lifetime is the total lifetime of an investment, whereas persistence years measure the number of years the Common Criteria T.B.D. Common Criteria T.B.D. Common Criteria T.B.D. audits --> 100% before/after No baseline calculation Loans scheme database Would need to derive region from company Would need to derive sector from company Annual kWh before project - needs to be converted to TOE Only have persistence factor available Common Criteria T.B.D. Common Criteria T.B.D. Common Criteria T.B.D. Needs to be derived from type of measure Different baselines for the scheme: existing capacity (kW) and annual kWh Different baselines for the scheme: existing capacity (kW) and annual kWh Data Availability RSE Common Criteria T.B.D. Common Criteria T.B.D. Common Criteria T.B.D. Data Avialability KAPE Common Criteria T.B.D. Common Criteria T.B.D. Common Criteria T.B.D. for limited number Data Avialability AEA Common Criteria T.B.D. Common Criteria T.B.D. Common Criteria T.B.D. Conversion information Information about the region should refer to the same Unity for all EE Measures CT DB needs to be converted Average Category Size in the respective Country DB Energy Carrier Conversion Factors: EED Annex 4 Common Criteria and conversion neccesary Common Criteria and conversion neccesary Common Criteria and conversion neccesary Common Criteria and conversion neccesary Conversion into the given Kategories is neccesarry EED Annex 4 Discussion points http://tinyurl.com/hy 4fljg Is nb. Of employees a good way measure company size in context of our work?? Nice to have. The information can be sometimes extracted, however is not always reliable CT: Whats "persistance years?"? t.b.d. how the exact methodology of deriving energy prices will be
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

  • Different form of same information
  • differnt wording, units, methodology on report of savings (before/after,

legislative value, standard, market average …) à conversion information

  • Different level of detail of information
  • measurement description, cost and energy price information, verification on

savings information, baseline information à additional efforts

Th The ch challenge

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

Ha Harmon

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Data conversion

In general there are three kinds of conversions: a. Datafields where 1:1 conversion is possible (e.g. Annual energy saving) b. Datafields that need a conversion table

  • A conversion table is needed to „translate“ information from one logic into the other

c. Datafields that need manual conversion

  • Predefined categories of EE-Measures for a reasoned analysis à Taxonomy of measures
  • Datasets need to be translated manually to the EU-Merci taxonomy
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

Ha Harmon

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Example conversion table

Definition of criteria “company size” within EU Merci à Number of employees Conversion information

  • Small:

1 – 49 employees

  • Medium: ≥ 50 – 249 employees
  • Large:

≥ 250

CRITERIA DATABASE 1 DATABASE 2 EU MERCI Company size Small, medium, large

  • No. of employees

Small, medium, large

Company size: Small, medium, large Company size: Number of employees DATABASE 1 (RSE) DATABASE 2 (AEA)

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 693845

Co Contact

DDI Marcus Hofmann Scientific Expert ÖSTERREICHISCHE ENERGIEAGENTUR AUSTRIAN ENERGY AGENCY — Mariahilfer Straße 136 | 1150 Vienna | Austria

  • T. +43 (0)1 586 15 24-143 | M. +43 (0)660 213 8300

Marcus.Hofmann@energyagency.at | www.energyagency.at

Thank you for your attention!