BUILD UPON2 ​ Coordination and Support Action H2020 - LC-SC3-EE-16-2018

D3.2 - Report on the set of measures that complement indicators in the Framework integrated into D2.6

Author(s): Valentina Marino (GBC Italia) ​ with input from all GBCs and BPIE

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

Deliverable Information

Grant agreement 840926 Project title Supporting public sector's capacity and leadership in decarbonising Europe's building stock, through the development of a multi-level renovation impact framework Project acronym BUILD UPON2 ​ Project coordinator Emilio Miguel Mitre ([email protected])- GBCe Project duration 1st June 2019 – 31st May 2021 (24 Months) Related work package WP 3 – Development of a monitoring methodology for the Framework Related task(s) Task 3.2 - Identify Measures Needed to Implement the Framework Lead organisation GBC Italia Contributing partner (s) all Due date 31 May 2020 Submission date X Dissemination level PU

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

Table of content

1 Introduction 4 1.1 Background: The Task 3.2 in the Grant Agreement of BUILD UPON2 4 ​ 1.2 Purpose 4 1.3 Objectives 4 1.4 Relation to other activities in the project 4 1.5 Target audience 4 2 Structure of the collection of measures 5 3 Existing measures at national and local level 6 3.1 Measures to support environmental indicators 6 3.2 Measures to support social indicators 33 3.3 Measures to support economic indicators 41 4 Proposal of pathways for implementation and transversal measures 47 4.1 Pathways and transversal measures from Croatia 47 4.2 Pathways and transversal measures from Hungary 49 4.3 Pathways and transversal measures from Ireland 51 4.4 Pathways and transversal measures from Italy 53 4.5 Pathways and transversal measures from 57 4.6 Pathways and transversal measures from Spain 59 4.7 Pathways and transversal measures from Turkey 65 4.8 Pathways and transversal measures from United Kingdom 68 5 Conclusions 69

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

1 Introduction

1.1 Background: The Task 3.2 in the Grant Agreement of BUILD UPON2 ​ The purpose of task 3.2 of BU2 project is researching measures that are needed at the ​ local and national level to support the Framework implementation. Such measures shall be derived from the analysis of indicators, and of data availability issues, to provide indication of complementary actions needed to make the application of the framework possible. These activities are likely to include training needs for public officials, awareness raising initiatives, financial measures and regulatory schemes etc. The results of this analysis will be integrated into the National Readiness reports being developed in WP2 (D3.2 and D2.7). 1.2 Purpose The purpose of the Deliverable 3.2 is to support public administrations in using the framework by identifying needed complementary measures that help overcome issues and barriers in the application of indicators. Capacity building for public officers is necessary to collect and use data as well as to correlate impacts detected at local level in light of the national renovation objectives. Knowledge and best practice exchange among countries in Europe will be of great value to speed up the advancement in using the Framework, which can therefore become a reference tool to assess the impact of initiatives at local scale against national LTRS objectives and to compare the level of achievement of shared sustainability’s objectives at national and local level across Europe. 1.3 Objectives The main objective of the Term of Refence is to define the criteria to collect measures that will support the use of Framework’s indicators. The chosen measures shall support the application of indicators at national and local level, proposing solutions to close existing gaps in terms of lack of data, knowledge and skills or infrastructure. Such measures span from training programs for public workers, the implementation of procedures for data collection and analysis, financial support to create databases and tools to collect, read and share data, etc. Ideally at least one measure for each indicator shall be found across countries taking part to the project. In fact, common practices that work well in a specific country/context can be a valuable example for others. Nevertheless, some measures can cover more than one indicator as well. The Term of reference shall identify what information needs to be collected by GBCs for each measure and the templates for data collection.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

1.4 Relation to other activities in the project The definition of the final framework of indicators in WP2 will directly address the data availability analysis (D3.1) and consequently the measures to implement the framework (D3.2). Deliverable 3.2 shall propose specific measures to overcome data availability issues and limitation to the use of indicators identified in D3.1 to allow the use of the framework across EU by national government and local authorities. 1.5 Target audience The identification of a target audience affects the type of measures that will be searched. Reducing the categories of stakeholders addressed will refine the search for more precise information. The Build Upon2 project is conceived to support the public sector capacity and ​ leadership in decarbonizing Europe’s building stock, by providing a multilevel framework able to assess the impact of renovation initiatives against national building renovation objectives. Therefore, the public sector at all levels is proposed as the main target of the document, prioritizing measures of capacity building on the use of indicators to have the Framework largely adopted across European public authorities. National and Regional governments, Cities and local governments will have to be primarily addressed. A restricted focus to cities and local governments may be preferential given that the Framework of Indicators is primarily designed to analyse the impact of initiatives at local scale against national objectives of the long-term renovation strategies. In fact, the testing phase in WP4 will involve cities only. Nevertheless, relevant measures developed by industry, innovators and investors could be included too as they propose solutions to support the work of public authorities.

2 Structure of the collection of measures

The collection of measures is organized into two parts: a list of existing tools that are already in use at national and local level in Europe (Part 3), and several proposal of pathways and actions needed in each country to support the collection of data and the integration of indicators into normal practice of public administrations (Part 4). To collect the measures listed in part 3 and 4, the GBCs and BPIE analysed the national context and asked support to pilot and follower cities as well as consulted the national steering group members. Some GBCs could discuss the proposed pathways and major transversal measures needed at the Focus Groups held in the month of May and at the meeting with national steering group members. To collect the measure listed in Part 3, partners were asked to find some tools, databases, maps, softwares, in use at national or local level, that responded to similar data and indicators

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

as the ones listed in the Framework. The version of the Framework used for developing this task is the number 3, with its latest update at the 4th of June 2020. GBC Italia provided the ​ template for the collection of existing measures and supported project partners in understanding exactly what kind of information were needed for the analysis. At last, GBC Italia selected 37 measures that were included in this report after asking specific feedback and more deep information to respective GBCs. Measures are reported in three parts according to the category they refer to (environmental, social and economic indicators). To complete part 4, GBC Italia’s provided GBCs with a draft pathway diagram, GBCs worked with the national working groups to define the pathways and come back with comments and a series of suggestions received form experts during the meetings. In the conclusions (Part 5,) GBC Italia classifies the measures according to the type of tool they propose, for an easy-use of this document as reference source for sharing existing practices across countries and municipalities and to inspire the development of further actions to support the use of indicators and data collection. The major feedback and findings reported by GBCs in Part 4 are summarised in Part 5 as major recommendation for the use of the Framework, the quality of the indicators and for data collection.

3 Existing measures at national and local level

3.1 Measures to support environmental indicators Core indicators

NON - Core indicators

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.1 Measure 1 (Spain)

Indicator/s Reduction in direct annual CO2 emissions from renovation compared to 1990 levels - P - T – R Final energy consumption reduction from renovation - P - T - R Name of the measure Our city, Our energy Type of measure Software package Scale of application (local level or national level) Municipal scale Location and timeline Spain, in 17 municipalities, From 2016 Responsible organization Ecooo Description Software package that helps tracking of energy costs, consumption and emissions, and consists in management software build for public administrations and an APP for public use to communicate, raise awareness and involve people in these changes. It doesn't track renovation but could be adapted for that It addresses the three essential points of the twelve cities covenant of mayor: 2. Emissions inventory 4. Administrative capacity allocated 5. Mobilise civil society Source for impact data through the app Our city Our energy (open), all the information about energy consumption and CO2 emissions is available for the 17 municipalities that have implemented Our city, Our energy Website http://ourcityourenergy.com/en/ Additional comments The app is oriented to track the actual energy consumption and cost of a municipality as a whole. It is done through different items and one of them is "buildings". So, it is for public buildings oriented. It could be extrapolated to other types of buildings. The problem is that for the moment it's not about building renovation but tracking energy and cost during the different years. Anyway, the structure is valid and could be adapted to BUILD UPON2 purposes

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.2 Measure 2 (Spain)

Indicator/s Reduction in direct annual CO2 emissions from renovation compared to 1990 levels - P - T – R Final energy consumption reduction from renovation - P - T – R Improvement of Net Space Heating & Cooling Demand due to energy renovation - P - T - R Name of the measure PARAE – MIRADOR Type of measure Database and design tool Scale of application (local level or national level) National / Regional / Municipal, but only public building from central government Location and timeline Spain, From 2016 Responsible organization Ministry of Transport, Mobility and Urban Agenda Description PARAE is an Action Plan for Environmental Renovation of Building developed by the central government to promote the energy renovation of public buildings and to the realization of a training plan in Environmental Renovation of Buildings. It has 2 main tools: Mirador and VEREDA. The Program is the result of a collaboration agreement between the General Directorate of Architecture, Housing and Land of the Ministry of Public Works and Green Building Council España (GBCe). Mirador is an open database that collects information about the public buildings own/occupied by the central government. It collects actual information of 2 indicators: Final energy consumption and CO2 emissions based on energy bills data. It allows to compare buildings according to the ministry they belong to, the climate zone, the province, or by area or energy consumption ranges. Is the main reference for indicators follow-up Starting from a simple data collection, VEREDA (not open) allows to obtain a diagnosis of the current situation of a building in some key areas: thermal comfort, water consumption and management, indoor air quality and lighting. Subsequently, it offers improvement measures ordered by the type of intervention: Performance, management, repair, replacement and improvement. VEREDA does not aim to replace renovation projects or energy audits, but to offer help to public building managers to improve building with the best energy and environmental practices. Source for impact data Through the Mirador website, all the information about energy consumption (kWh/m2) and CO2 emissions is available for the buildings owned or occupied by the central government along the Spanish territory Website https://www.programaparae.es/mirador Additional comments The programme is oriented to track the actual final energy consumption and CO2 emissions based on data collected through energy bills.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

The problem is that for the moment it's not about building renovation but tracking energy and cost during the different years. Anyway, the structure is valid and, coupled with other data tracking, could be adapted to BUILD UPON2 purposes 3.1.3 Measure 3 (Spain)

Indicator/s Reduction in direct annual CO2 emissions from renovation compared to 1990 levels - P - T – R Final energy consumption reduction from renovation - P - T – R Improvement of Net Space Heating & Cooling Demand due to energy renovation - P - T - R Name of the measure Plataforma de Vigilancia de consumos Type of measure Database of monitored data Scale of application (local level or national level) Municipal Location and timeline Spain, from 2016 Responsible organization StecHome Description The Platforms of Surveillance of consumption (one for residential buildings and another one for industrial and tertiary / commercial use) follows up the energy consumption of buildings through monitoring, also monitoring of comfort parameters. Source for impact data ● final energy consumption ● monitoring of thermal comfort parameters (humidity and temperature) ● monitoring of CO2 in the interior Website https://www.stechome.es/plataformas-de-vigilancia/ Additional comments Although it is a private initiative, it is a good example of how monitoring can be done based on actual data and become a database to evaluate the evolution of energy consumption. They have done several collaborations with public bodies.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.4 Measure 4 (Poland)

Indicator/s Reduction in direct annual CO2 emissions from renovation compared to the municipality's baseline year as per CoM reporting - M - T – R Final energy consumption reduction from renovation - M - T - R Name of the measure Deep renovation of residential buildings including the exchange of heating system (Termo ZGM); Deep renovation of public buildings (Termo UM) Type of measure Databases Scale of application (local level or national level) Local level Location and timeline Rybnik (Poland), 2017 Responsible organization Housing Department (Zaklad Gospodarki Mieszkaniowej ZGM); Municipality of Rybnik Description Termo ZGM: Calculation data on energy consumption reduction and CO2 emissions reduction are acquired from the audits performed on buildings undergoing renovation with exchanged heating system. This applies to multi-family residential buildings (also with a commercial use), which are part of municipal resources, declared for funding. Termo UM: Data obtained from audits performed for buildings undergoing renovation and/or change of heating system - these are calculation values. Data are gathered for buildings declared for funding (public buildings owned by the Municipality of Rybnik, and buildings in the Private sector, single-family houses). Source for impact data - Website - Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.5 Measure 5 (Poland)

Indicator/s Reduction in direct annual CO2 emissions from renovation compared to the municipality's baseline year as per CoM reporting - M - T – R Final energy consumption reduction from renovation - M - T - R Name of the measure PrZEMek - Energy and Media Management Programme Type of measure Database of monitored data Scale of application (local level or national level) Local level Location and timeline Rybnik (Poland), 2006 Responsible organization Municipality of Rybnik and "Ekoterm Silesia" Green Foundation Description The programme covers 115 educational buildings, as well as facilities outside education, i.e. culture, sport, care, transport, administration buildings, municipal services. The objective of the programme is continuous monitoring aimed at reducing the consumption of energy sources without compromising the quality of the internal environment. Daily consumption records and invoice records are registered. These data make it possible to determine average annual consumption, costs of individual media and power take-up. Data collected are: reduction of operating costs of facilities; reduction of energy consumption; adjustment of the rates and volume of ordered power to actual needs; reduction of pollutant emissions Source for impact data - Website http://media.ciri.pl/inne/index.php Additional comments Under the program, educational measures are also actively implemented, which translates into increased environmental awareness of employees as well as children and youth studying in the facilities covered by the program.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.6 Measure 6 (Ireland)

Indicator/s Reduction in direct annual CO2 emissions from renovation compared to 1990 levels - P - T – R Final energy consumption reduction from renovation - P - T – R Total annual energy renovation rate % - P - T - R Name of the measure National BER research tool – for domestic BER certificates Type of measure Database Scale of application (local level or national level) National - But breakdown at local authority level available Location and timeline Ireland, from 2012 Responsible organization Sustainable Energy Authority of Ireland - SEAI Description Since 2012, SEAI has operated a national BER research tool – for domestic BER certificates. The database is updated daily, so up-to-date anonymised energy statistics on residential BERs is widely available. Details available include dwelling type, year of construction, floor area and fabric U-values.Six filtering tools (local authority, dwelling type, energy rating, rating types, year of construction and total floor area) are available to narrow down the results. Note: Energy Performance Certificates (EPCs) are called Building Energy Rating in Ireland. Source for impact data The whole dataset can be downloaded in an excel format at: https://ndber.seai.ie/BERResearchTool/Register/Register.aspx Website https://ndber.seai.ie/BERResearchTool/ber/search.aspx Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.7 Measure 7 (United Kingdom)

Indicator/s Reduction in direct annual CO2 emissions from renovation compared to 1990 levels - P - T – R Final energy consumption reduction from renovation - P - T – R Total annual energy renovation rate % - P - T - R Name of the measure National Energy Efficiency Data-Framework (NEED) Type of measure database Scale of application (local level or national level) National Location and timeline England and Wales, 2009 until present Responsible organization Department for Business, Energy and Industrial strategy (BEIS) Description The National Energy Efficiency Data-Framework (NEED) was set up to provide a better understanding of energy use and energy efficiency in domestic and non-domestic buildings in Great Britain. The data framework matches data about a property together - including energy consumption and energy efficiency measures installed - at household level. The Framework was first announced in the Heat and Energy Saving Strategy in 2009 and was developed by BEIS, with support from the Energy Saving Trust (EST) and gas and electricity suppliers, in order to assist BEIS in its business plan priority to “save energy with the Green Deal and support vulnerable consumers”. It forms a key element of BEIS’ evidence base supporting BEIS to: • develop, monitor and evaluate key policies (including the Green Deal) • identify energy efficiency potential which sits outside the current policy framework • develop a greater understanding of the drivers of energy consumption • gain a deeper understanding of the impacts of energy efficiency measures for households. The data framework provides the largest source of data available for analysis of consumption and impacts of energy efficiency measures. Source for impact data - Website https://www.gov.uk/government/statistics/national-energy-efficiency-data-framework-need-report-su mmary-of-analysis-2019 Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.8 Measure 8 (Croatia)

Indicator/s Reduction in direct annual CO2 emissions from renovation compared to the municipality's baseline year as per CoM reporting - M - T – R Name of the measure HEP Group EU-ETS greenhouse gas reduction Type of measure Data monitoring tools and database Scale of application (local level or national level) Local Location and timeline City of Sisak, City of Osijek, starting year – 2013, Croatia Responsible organization Hrvatska elektroprivreda - HEP Group Description HEP Group is using European trade system of greenhouse gas emission units. The basic goal of the system is to reduce greenhouse gas emission in a cost-efficient way. HEP Group is using EU ETS system which provides them with tools to come up with yearly reductions in greenhouse gas emissions. Data is collected at a city scale, emphasizing cities where are thermal power plants such as Sisak and Osijek. In calculating CO emissions, HEP is using a methodology and emission factors approved and defined by ​2 the Ministry of Environmental Protection and Energy. Data are measured yearly according to percentages of intensity of CO2 emissions based on g CO2/kWh ​ ​ ​ ​ Source for impact data - Website https://www.hep.hr/odrzivost-i-okolis/zastita-zraka-i-klimatske-promjene/emisije-staklenickih-plinova/1 58 Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.9 Measure 9 (United Kingdom)

Indicator/s Reduction in direct annual CO2 emissions from renovation compared to 1990 levels - P - T - R Final energy consumption reduction from renovation - P - T – R Specific UK core indicators No. of homes meeting minimum EPC C - R – SH No. of PRS homes meeting minimum EPC C - R - SH Name of the measure Live tables on Energy Performance of Buildings Certificates Type of measure Database Scale of application (local level or national level) National Location and timeline England, 2008 - present Responsible organization Ministry of Housing, Communities & Local Government Description These tables show data from certificates lodged on the Energy Performance of Buildings Registers since 2008, including average energy efficiency ratings, energy use, carbon dioxide emissions, fuel costs, average floor area sizes and numbers of certificates recorded. All tables now include data by regions. Source for impact data - Website https://www.gov.uk/government/statistical-data-sets/live-tables-on-energy-performance-of-buildings-c ertificates#epcs-for-all-properties-non-domestic-and-domestic Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.10 Measure 10 (United Kingdom)

Indicator/s Final energy consumption reduction from renovation - P - T - R Name of the measure English Housing Survey (EHS) Type of measure Questionnaire Scale of application (local level or national level) ​ National Location and timeline England (United Kingdom), 1967 - present Responsible organization Ministry of Housing, Communities and Local Government Description The English Housing Survey (EHS) is a national survey of people's housing circumstances and the condition and energy efficiency of housing in England. It is one of the longest standing government surveys, and was first run in 1967. The second section, on homes, provides an overview of the housing stock in England including: the age, size, and type of home; energy efficiency of the housing stock; decent homes; homes affected by damp and mould; and smoke alarms. Additional annex tables provide further detail to that covered in the main body of the report Source for impact data - Website https://www.gov.uk/government/collections/english-housing-survey Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.11 Measure 11 (France)

Indicator/s Final energy consumption reduction from renovation - P - T – R Name of the measure Picardie Pass Renovation programme Type of measure Database of monitored data Scale of application (local level or national level) Local level Location and timeline Picardy, France 2013- 2018 Responsible organization Picardie Region Description The “Picardie Pass Rénovation” programme developed a one-stop shop approach that made energy efficiency affordable for hundreds of homes in France’s Picardy region. The programme began in 2013. When it was finished in 2018, 1240 owners of individual homes and collective housing units had completed energy efficiency renovation projects. Participants received special loans that allowed the energy cost savings to offset the monthly payments. The program included two monitoring options: Digital monitoring: This is an instant follow-up, thanks to the installation of measurement tools that allow recording continuous comfort data (comfort temperature, humidity) and consumption (electricity and gas). These tools inform at all times of the building's energy consumption, have a history of the use of the results noted. This allows the user to understand his consumption and thus better control it. The equipment used is the kit Quarthome. At the end of 2018, 199 users (individual and collective housing) were equipped with digital monitoring (20% of potential users). Annual monitoring: Whether the user decides to benefit from digital tracking or not, post-work support is supplemented by an annual assessment undertaken by the technician of the renovation. It is carried out during a telephone appointment or a site visit (the choice is left to subscriber). During this annual review, a questionnaire concerning comfort, use of the house and this equipment and consumption is filled with the subscriber (from the feeling and invoices). It is also a privileged moment to raise awareness about consumption (uses daily, use of energy equipment, etc.). Source for impact data https://www.pass-renovation.picardie.fr/wp-content/uploads/sites/11/2014/07/DP-BilanForumSPEE-fe v2019.pdf Website https://www.pass-renovation.picardie.fr/ Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.12 Measure 12 (Italy)

Indicator/s Final energy consumption reduction from renovation - P - T – R Name of the measure Regional registry of heating systems Type of measure Registry and database Scale of application (local level or national level) National level but managed at regional scale Location and timeline Italy, from 2013 Responsible organization Regional Government Description The Regions and Autonomous Provinces, in implementing the provisions of DPR 74/2013 as referred to in Article 9, shall ensure: - establish a territorial cadastre of the thermal plants, also in collaboration with the Local Authorities and accessible to them, establishing at the same time the obligations referred to in Article 9, paragraph 3, of the Legislative Decree, for the managers of the plants and for the fuel distributors; - to prepare and manage the territorial cadastre of thermal plants and that on energy performance certificates, thereby facilitating their interconnection; - promote programs for the qualification and professional updating of the subjects to whom to entrust the inspection of the thermal plants as well as the following start annual compliance audit programmes annual compliance audit programmes annual compliance audit reports; - promote public information and awareness campaigns. Every year the fuel distributors must communicate, through the Land Register of Thermal Plants (CIT), the data related to the location, ownership and annual supplies of fuel to the supplied Thermal Plants. In accordance with Annex C to d.g.r. n. 32-7605 of 28 September 2018, it should be noted that fuel distributors are also considered to all intents and purposes: - sellers of thermal energy also through district heating networks; - diesel and LPG distributors for off-grid heating; - suppliers and sellers of solid fuel (pellets, logs, wood chips, etc.) in cases where individual purchase or supply orders require at least 3,000 kg of fuel. Source for impact data - Website example from Piedmont Region: http://www.sistemapiemonte.it/elencom/secure/HomePage.do Additional comments –

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.13 Measure 13 (Italy)

Indicator/s Final energy consumption reduction from renovation - P - T – R Name of the measure Toolbox for the analysis of data related to tax deductions for the energy retrofitting of buildings Type of measure Calculation tool Scale of application (local level or national level) Local level Location and timeline Italy, From June 2020 Responsible organization ENEA Description Development of a procedure able to acquire and analyze detailed geo-referenced data of energy efficiency interventions carried out on the regional territory, related to the practices presented by users to access the 65% tax deduction incentive for the energy requalification of the existing building stock. Statistical indicators are also provided, with the possibility to build and customize the relevant thematic maps on a regional scale. Source for impact data - Website https://www.espa.enea.it/prodotti-e-servizi/tool-box-per-analisi-dati-geo-referenziati-sulle-detrazioni-fi scali-del-65-per-la-riqualificazione-energetica-degli-edifici.html Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.14 Measure 14 (Croatia)

Indicator/s Final energy consumption reduction from renovation - P - T – R Name of the measure Buildings regulation and implementation Type of measure Online application (tool)+ database Scale of application (local level or national level) National Location and timeline Croatia Responsible organization Ministry of Environmental Protection and Energy Description Buildings regulation and implementation is an efficient measure in achieving the best standards in improving energy efficiency and reduction of energy consumption. Mechanisms of implementation include inspections, certification responsibilities and control of correct adaptation to energy consumption reduction measures. The two described modules are a part of ISGE or translated to english EMIS - Energy Management Information System. It is an online application developed by Croatian Ministry of Construction and Physicall Planning and several companies with a purpose for monitoring and analysing energy and water consumption in public sector buildings. For different public sector buildings, relevant data about facilities is being inserted to be analysed. Database offers both static technical data and dynamic energy usage resource data. Data is measured and analysed through the Module of long distance measuring and Module of energy efficiency through ISGE. Source for impact data - Website https://mgipu.gov.hr/UserDocsImages/dokumenti/EnergetskaUcinkovitost/IV_NAPEU_2019.pdf https://www.isge.hr/cc/hr/login/EMIS.PDF Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.15 Measure 15 (Croatia)

Indicator/s Final energy consumption reduction from renovation - P - T – R Name of the measure Encouraging deep renovations of buildings Type of measure Tool + database Scale of application (local level or national level) National Location and timeline Croatia, Starting year 2014, Responsible organization Ministry of Construction and Physical Planning Description This measure is a part of National programme on energy renovation of buildings 2014-2020. Buildings are to be renovated towards a low energy standard and achieving an energy class of B, A, or A+. SMIV is a system developed by Center For Monitoring Business Activities in the Energy Sector and Investments of Croatia. It was put to use in 2014. The idea of SMIV (System for measuring and verifying energy savings) is to work as a monitoring system for measuring and identification of energy efficiency policies. It is directed towards performance evaluation and redefining the implemented measures if it is seen that they are not working in a desired way. With continous monitoring activities, SMIV enables improvement of quality of achieved energy savings and measuring the rate of success of various energy efficiency policies. Every implemented or performed energy saving and efficiency measure is to be verified and added into SMICV web application to achieve the clear overview of data adopted and create a basis for comparison and analysis. Source for impact data https://mgipu.gov.hr/UserDocsImages/dokumenti/EnergetskaUcinkovitost/IV_NAPEU_2019.pdf Website http://cei.hr/en/smiv-system-measuring-and-verifying-energy-savings/ Additional comments Unfortunately, SMIV is not being used as it could be, but some of the main actors who could deal with SMIV are taking part in BU2 National Steering Groups, and on our initiative, there are some positive movements from the responsible people to keep SMIV alive.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.16 Measure 16 (Spain)

Indicator/s Total annual energy renovation rate % - P - T – R + all indicators requiring number of buildings /number of dwellings / net floor area Name of the measure Statistic from building sector obtained from a questionnaire mandatory for every building permit Type of measure Questionnaire Scale of application (local level or national level) Both, although the results are only shown aggregated at national level Location and timeline Spain in every municipality, from 1990 Responsible organization Ministry transport, mobility and urban agenda and each municipality Description The Spanish Law 4/1990 establishes the obligation of filling-in a statistical sheet that contains a questionnaire that the developer or technician responsible for a project must submit to the city council (in charge of granting the permit) when applying for a building permit for the construction, renovation or demolition of buildings. This questionnaire collects the number of buildings (per type) affected by the works, the foreseen duration of the works, the budget and the type of intervention (new construction, renovation, in both cases if it requires a previous demolition, or demolition exclusively). Then depending on the type of intervention, the questionnaire is different. Specifically for renovation it includes: 1. Type of intervention-. extension / renovation / commercial premises renovation 2. Characteristics of the intervention: area; what is renovated (foundation elements and/or pillars * roofing elements * vertical exterior closing elements (facades) * horizontal interior closing elements (floors) * vertical interior closing elements (walls) * interior finishing elements * facilities, appliances or machinery * other) 3. Dwellings characteristics (in case of housing), per type of dwelling: net floor area, number of pieces (kitchen included), number of bathrooms Source for impact data Although the data is collected at municipal level, this only serves for the national statistics that is showed through reports (not an open database) with aggregated data at national level. ​ ​ Website https://www.mitma.gob.es/informacion-para-el-ciudadano/informacion-estadistica/construccion/const ruccion-de-edificios/construccion-de-edificios-licencias-municipales-de-obra Additional comments The statistical datasheet only collects limited information about the intervention and for those that need a building permit from the city council. Since is an existing mechanism from 1990, it could work very well if this sheet introduced the collection of data related to many indicators for the Framework. Another modification could be related to how all this data collected is treated: up to now it is only used at national scale, but it can serve to have a database at municipal and at regional level. Also, it should be digitalised and create an open database.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.17 Measure 17 (Ireland)

Indicator/s % of the total floor area of buildings owned and occupied by central government retrofitted each year - P Name of the measure SEAI Monitoring & Reporting Programme Type of measure Annual report Scale of application (local level or national level) National - But breakdown at local authority level available Location and timeline Ireland, Ongoing - started between 2010 and 2014 depending on the type of public body Responsible organization Sustainable Energy Authority of Ireland - SEAI Description Since 2009 (2014 for schools), the Civil Service, Commercial and non-commercial State Bodies, State-owned financial institutions, the Defence Forces, An Garda Síochána, Health Service Executive and Voluntary Hospitals, Local and Regional Authorities, Schools, Education & Training Boards (ETBs) and centres for education, Universities and colleges, and some other organisations (e.g. charities in receipt of 75% or more of their funding from the public sector) must report on their annual energy consumption for all energy types, an annual value that quantifies the level of activity undertaken by the organisation each year, as well as the details of energy saving projects implemented and planned to SEAI. These reports are publicly available. Source for impact data - Website https://www.seai.ie/business-and-public-sector/public-sector/monitoring-and-reporting/introduction-t o-mr/ Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.18 Measure 18 (Turkey)

Indicator % of the total floor area of buildings owned and occupied by central government retrofitted each year - P Name of the measure KABEV database system Type of measure Database Scale of application (local level or national level) National Location and timeline Turkey, 2019-25 Responsible organization General Directorate of Construction Affairs (GDCA) of the Ministry of Environment and Urbanization (MoEU), Funding by IBRD Description Energy efficient renovation program for public buildings. Total project cost is US$ 200.00 million. Environmental and Social Management Framework has been developed. (http://documents.worldbank.org/curated/en/407161562736522016/pdf/Environmental-and-Social-Ma nagement-Framework.pdf) The EEPB Project will enable renovate of approximately 300-500 public buildings reaching out to more than 1.000 staff and 5.000 citizens annually. Building inventory and efficiency results will be recorded in the KABEV Database system. Website - Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.19 Measure 19 (Poland)

Indicator/s Non-core indicator: # retrofitted buildings that have access to EV chargers within 100 m SH - R - T - M Name of the measure Monitoring of the number of EV chargers Type of measure Web portal Scale of application (local level or national level) Local level Location and timeline Wroclaw (Poland), from 2017 Responsible organization Municipality of Wroclaw Description The number of electric car charging stations in municipal resources is monitored - the operation does not include electricity consumption control Source for impact data - Website - Additional comments

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.20 Measure 20 (Poland)

Indicator/s Non-core indicator Percentage of energy renovations with a waste management plan - T - R - SH - M Name of the measure Waste management plans obligatory for the contractors Type of measure Plan Scale of application (local level or national level) Local level Location and timeline Poland Responsible organization Contractors Description Preparing waste management plans for each investment is obligatory for the contractors. It must contain a detailed description of waste management methods (with division into types of waste), including collection, transport, recycling, disposal or storage at appropriate locations (including specification of entities to which waste will be transferred for use, transport, recycling, neutralization, storage - presentation of copies of legally binding permits for their collection to the contractor is required). Each contractor must issue waste management plans (legislative obligation). It can be assumed that each renovation = 1 plan. Source for impact data - Website - Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.21 Measure 21 (Croatia)

Indicator/s Non-core indicator: % construction & demolition waste diverted from landfill for energy renovation projects - T - R - SH - M Name of the measure Zagrebački Holding - Construction waste reduction Type of measure Database Scale of application (local level or national level) Local Location and timeline City of Zagreb (Croatia) Responsible organization Zagrebački Holding Description Zagrebački Holding is uptaking measures of reduction of construction waste, depending on the type of waste and the type of use, or transfers it to designated organizations for recycling and reuse. Data is collected by the Zagrebački Holding staff, (Holding is owned by City of Zagreb). They gather the data onsite and according to the information received from various construction sites around the City. Such data is being adopted into City databases and the City develops local policies, measures and actions according to such information. Measurement data is based on the number of crates for the waste in the 3 size of 5 m .​ ​ Source for impact data - Website https://www.zgh.hr/usluge-8/komunalne-djelatnosti-23/zbrinjavanje-gradjevinskog-otpada/8606 Additional comments

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.22 Measure 22 (Poland)

Indicator/s Non-core indicator: % construction & demolition waste recycled from energy renovation projects - T - R - SH - M Name of the measure Report by the Municipality Mayor on the implementation of municipal waste management tasks Type of measure Questionnaire Scale of application (local level or national level) Local level Location and timeline Wroclaw, annual Responsible organization Municipality of Wroclaw - Department of Environment and Agriculture Description The information refers only to municipal demolition and construction waste collected by entities participating in the municipal waste collection system. Preparation of such report is a legislative duty. The questionnaire is available on the website of Ministry of Climate: https://www.gov.pl/web/klimat/wzory-sprawozdan (the penultimate document concerns municipalities). Mayors are obliged to prepare such reports for each year. Source for impact data - Website https://bip.um.wroc.pl/artykul/374/21544/sprawozdania-prezydenta-wroclawia-z-realizacji-zadan-z-zak resu-gospodarowania-odpadami-komunalnymi-za-lata-2014-2018 Additional comments This measure was given by the Pilot City, but each of the municipalities, or even villages, must prepare such report. There are given detailed information on total waste, divided into types and their later "path".

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.23 Measure 23 (Italy)

Indicator/s Non-core indicator: Land use: the amount of built volume per building type/function in a year or compared to a reference year Name of the measure Online map for data on building density in Deci.metro Type of measure Digital data Map Scale of application (local level or national level) Municipality Location and timeline Metropolitan city of Milan, 2020 Responsible organization Metropolitan city of Milan Description The database DECI.METRO includes several morpohological and socio-economic indicators. It is interesting the indicator about the built up area. The built up settlement index relates the urbanized fraction of the territory to the non-urbanized spaces. The indicator is calculated as: Built-up Area of Municipality (sqm)/Surface of the Municpality (sqm). It can be seen as a starting point to observe how much new areas are built every year. It could be implemented by adding the information on how many buildings have undergone building renovation every year. Source for impact data - Website http://www.cittametropolitana.mi.it/DeCiMetro/INDICATORI_INFOGRAFICA/Indicatori-Socio-economici /index.html Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.24 Measure 24 (Poland)

Indicator/s non-core indicators National level: PM 2.5 Emission Reduction Local level: # Energy renovation projects removing the use of fossil fuel for heating – ALL # Energy renovation projects removing the use of solid fuel (including solid fossil fuels) for heating - ALL # ambient PM2.5 Grade A or B monitors with publicly accessible data Name of the measure AIR TRITIA (Interreg project) Type of measure Database and tools Scale of application (local level or national level) Local level Location and timeline POLAND: Rybnik, ; : , ; SLOVAKIA: ilina, 2017-2020 Ž Responsible organization V B - Technical Universtity of Ostrava, Institute of Environmental Technology Š Description The AIR TRITIA project aims to increase the capacity of public sector bodies to manage air quality by developing a common spatial data base, introducing new tools for air pollution management and forecasting and air quality strategies. Aims: - to define how to transfer information across different regions - to define measures to reduce emissions - to create legislative proposals for more effective implementation of the integrated air quality management strategy at regional level - creation of Air Quality Management System AQMS and Predictive System for decision makers and residents of the TRITIA area (under pilot phase) Source for impact data - Website https://www.interreg-central.eu/Content.Node/AIR-TRITIA-pl.html Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.25 Measure 25 (Turkey)

Indicator/s non-core indicator: PM 2.5 Emission Reduction Name of the measure Map of live urban pollution data Type of measure Map with live data Scale of application (local level or national level) National Location and timeline Turkey, from 2005 Responsible organization Ministry of Environment and Urbanization Description Air quality/air pollution monitoring with live portal that that shows data about 350 monitoring stations spread across the country. (Measurement of NO,NO2, NOX, CO, O3, PM2.5, BTEX) Website http://www.havaizleme.gov.tr/ Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.1.26 Measure 26 (Croatia)

Indicator/s Non-core indicator: # ambient PM2.5 Grade A or B monitors with publicly accessible data Name of the measure Outdoor air quality on the area of Primorsko-Goranska County Type of measure Database Scale of application (local level or national level) Local level Location and timeline Croatia, Primorsko Goranska County, since 2017 Responsible organization Nastavni zavod za javno zdravstvo Primorsko-goranske upanije ž Description The program of measuring and testing outdoor air quality is based on time and space dissemination of pollutants harvested from various sources like industry, private housing, technology processes, infrastructure. Data is being collected through the methodology based on chemical and physical approach through the analysis of pollutants based on their chemical and physical attributes. The measuring stations are connected via Internet connection and the data is collected with the help of DCS module. Afterword the information is being processed on a computer program package called Enviman. The final data is being reported to the Croatian Agency for Environment and Nature and to the local municipalities who use the data in their reporting. Besides that, municipalities are not involved in the process in other ways. Source for impact data - Website http://www.zzjzpgz.hr/publikacije/kakvoca-zraka-na-podrucju-PGZ-objedinjeni-izvjestaj-za-2018.pdf Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.2 Measures to support social indicators Core indicators

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

NON - Core indicators

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.2.1 Measure 27 (Ireland)

Indicator/s % of households having arrears on utility bills - R – SH Name of the measure Spatial Energy Demand Analysis Type of measure Digital Map Scale of application (local level or national level) Local Level Location and timeline Dublin & Dun Laoghaire (Ireland), since 2015 Responsible organization Codema Description The Spatial Energy Demand Analysis enables local authorities to make informed decisions about how to deliver energy and CO2 savings, in line with EU targets. The identification of areas most at risk of energy poverty can help local decision-makers to prioritise these areas for retrofitting. For Dublin map of areas most at risk of energy poverty - see pg. 28 For Dublin map of total annual residential energy demand see p.g. 29. Source for impact data - Website https://www.codema.ie/images/uploads/docs/Dublin_City_Spatial_Energy_Demand_Analysis_-_June_2 015.pdf Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.2.2 Measure 28 (United Kingdom)

Indicator/s % of households having arrears on utility bills - R – SH United Kingdom specific indicator: # of homes that were previously fuel poor, meeting a minimum of EPC C Name of the measure Fuel poverty statistics Type of measure Statistic Scale of application (local level or national level) National Location and timeline England (United Kingdom), since 2010 Responsible organization Department for Business, Energy & Industrial Strategy Description This data series brings together all the relevant government department documents relating to fuel poverty statistics. In 2014, the Government put in place a new statutory fuel poverty target for England: to ensure that as many fuel poor households as reasonably practicable achieve a minimum energy efficiency rating of Band C by 2030, with interim targets of Band E by 2020, and Band D by 2025. The primary purpose of the Annual Fuel Poverty Statistics is to monitor progress against the statutory target and track the proportion of households in fuel poverty and their fuel poverty gap. Source for impact data - Website https://www.gov.uk/government/collections/fuel-poverty-statistics Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.2.3 Measure 29 (Croatia)

Indicator/s Non-core indicator: # Policies to ensure retrofitted buildings are climate resilient and/or contribute to climate resilience - SH - R - C - P Name of the measure Detailed mapping of energy systems Type of measure Methodology Scale of application (local level or national level) National Location and timeline Croatia, since 2017 Responsible organization Faculty of Engineering in Zagreb; Ministry of Construction and Physical Planning; Ministry of Environmental Protection and Energy Description Gathering data and information about needs, consumption and production of energy as a main source of quality energy planning and achieving climate independence of buildings and energy system. The three actors, headed by Ministry of Environmental Protection and Energy have developed a screening procedure within which designated body(Ministry, or a county office) provides an analysis and assesment whether certain procedure or policy can and will have effect on climate resiliency, energy savings and potential use of renewables. Research into quantitative indicators of energy poverty reduction is provided. The results of those studies are usually publicly available on the website of Ministry of Environmental protection and Energy. Source for impact data - Website https://mzoe.gov.hr/ Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.2.4 Measure 30 (United Kingdom)

Indicator/s Non-core indicator: Have guidance/ strategies and tools been developed to ensure renovation projects cope with identified risks (e.g. flooding and overheating)? - SH - R - T – M Name of the measure DEFRA Flood risk data Type of measure Interactive map Scale of application (local level or national level) National and local level Location and timeline United Kingdom Responsible organization DEFRA Description This service uses computer models to assess an area’s long-term risk from: rivers and the sea, surface water, reservoirs, some groundwater. The results are an indicator of an area’s flood risk, particularly the likelihood of surface water flooding. Source for impact data - Website https://flood-warning-information.service.gov.uk/long-term-flood-risk/map ; https://flood-warning-information.service.gov.uk/long-term-flood-risk/postcode Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.2.5 Measure 31 (Turkey)

Indicator/s Non-core indicator: # energy renovated buildings which are upgraded to be earthquake resistant (in line with national standards) - R - SH - P - T Name of the measure Streamlining of the Procedures for Issuing Building Permits at Pilot Municipalities (ISMEP project) Type of measure Digital management system for building permits, audits (digital portal) Scale of application (local level or national level) Local level, pilot cities of Bağcılar and Pendik (Istanbul metropolitan area) Location and timeline Turkey, 2006-2021 (ISMEP project) Responsible organization Istanbul Project Coordination Unit Description Ensuring transparency and efficiency in the process of building permit issuance procedures is very important within the scope of disaster preparedness activities at the local level. With pilot schemes initiated in Bağcılar and Pendik municipalities, the existing process of building license and inspection being carried out more efficiently by an Electronic document management systems linked with GIS and digital management of information (MIS) Website https://www.ipkb.gov.tr/en/what-is-ismep/c-component/streamlining-of-the-procedures-for-issuing-bu ilding-permits-at-pilot-municipalities/

Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.2.6 Measure 32 (Croatia)

Indicator/s Non-core indicator: Are policies / guidance documents available to ensure retrofit projects take into account cultural value of buildings? Y/N - SH - R - T – P Name of the measure Recommendations of the adoption of energy efficiency measures on cultural heritage buildings Type of measure Recommendation (report) Scale of application (local level or national level) National Location and timeline Croatia, since 2019 Responsible organization Ministry of culture Description Improving energy efficiency of cultural heritage buildings must meet the standards of preservation of cultural heritage through various procedures and criteria. The Recommendations of the Adoption of Energy Efficiency Measures on Cultural Heritage Buildings is a document brought forward by the Croatian Ministry of Culture based on the European Commission energy efficiency directive of 2012. The document is not obligatory but at the level of recommendations to be implemented by building owners or users, building professionals, conservationists and investors. Impact data will be provided by conservatory and restauration bodies. Source for impact data - Website https://www.min-kulture.hr/ Additional comments It is not avaliable on english language, and they are poor in collecting data and publishing it. When it comes to renovation of cultural heritage buildings, public administration is in a poor position with conservationsist and investors taking the upper hand, neglecting the Recommendations.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.3 Measures to support economic indicators Core indicators

NON - Core indicators

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.3.1 Measure 33 (Spain)

Indicator/s Total annual investment in energy renovation - R - SH - P - T Name of the measure PAREER Type of measure Public database Scale of application (local level or national level) National level Location and timeline Spain 1st round (PAREER and PAREER CRECE): 2015 – 2016 2nd round (PAREER II): 4 January - 31 December 2018 Responsible organization IDAE (Institute for Energy Diversification and Saving) - Ministry of Industry Description Aid and financing scheme for energy renovation of existing buildings. The objective of the interventions eligible for support is to achieve a reduction in CO2 emissions and final energy consumption in (all type) of buildings by improving energy efficiency. 4 types of eligible actions: Type 1. Improvement of the energy efficiency of the thermal envelop Type 2. Improvement of the energy efficiency of heating and lighting systems Type 3. Replacement of conventional energy by solar thermal energy. Type 4. Replacement of conventional energy by geothermal energy Budget: 200 million Euros At least improvement of the EPC in one letter Data about public investments are collected on the web portal of the program Source for impact data http://pareer-res.idae.es/iday_estadistica_resumen_v_list.asp - public investment in energy renovation (in form of subsidies for private buildings) As part of the documents for having the subsidy, the applicant gives information about the EPC improvement, but is not part of the public database created Website https://www.idae.es/ayudas-y-financiacion/programa-de-ayudas-para-la-rehabilitacion-energetica-de-e dificios-existentes Additional comments Although it is a private initiative, it is a good example of how monitoring can be done based on actual data and become a database to evaluate the evolution of energy consumption. They have done several collaborations with public bodies.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.3.2 Measure 34 (Turkey)

Indicator/s Total annual private investment in energy renovation - R - SH – T Name of the measure TUREEFF- Turkish Residential Energy Efficiency Financing Facility Program Type of measure Map and case study database Scale of application (local level or national level) National level Location and timeline Turkey, 2014-2020 Responsible organization EBRD (European Bank of Reconstruction and Development) Description It is a framework operation developed for financing eligible Energy Efficiency investments at a residential level, through the Participating Financial Institutions (PFIs). Development of TuREEFF loan categories including rehabilitation, construction and mortgage. Case study mapping that shows total energy and CO2 savings of rehabilitation projects Source for impact data Impact data are shown on the case study page as info-graphic https://www.tureeff.org/case-studies Website https://www.tureeff.org/case-studies Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.3.3 Measure 35 (Italy)

Indicator/s # companies involved in energy renovation T- R - SH – P Name of the measure OPEN DATA/economic indicators Type of measure Statistic Scale of application (local level or national level) Local level Location and timeline Regional level, data are available for 2017-2018 Responsible organization Province of Trento, Italy Description Employment at the end of the quarter in enterprises in the province of Trento (2017-2018) - percentage changes for all sectors, including construction sector. It could be implemented with data on the employment for energy renovation works. Source for impact data - Website https://www.agenzialavoro.tn.it/Open-Data/I-dataset-disponibili/Economia-e-finanza/Struttura-econom ica/Indicatori-economici/Anno-2018/Occupazione-a-fine-trimestre-nelle-imprese-della-provincia-di-Tren to-2017-2018

Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.3.4 Measure 36 (Turkey)

Indicator/s # companies involved in energy renovation - T- R - SH – P Name of the measure Communique on Granting Authorization Certificates to Institutions and Organizations Carrying Out Energy Service Companies (EVD) Type of measure Register Scale of application (local level or national level) National level Location and timeline Turkey, from 2011 Responsible organization Energy and Natural Resources Ministry - Energy Efficiency and Environment Department Description In accordance with the Energy Efficiency Law No. 5627, the register includes the companies that have been given authorization certificates to perform energy efficiency services within the framework of the authorization agreement signed with the General Directorate of Electrical Affairs. Website http://www.yegm.gov.tr/verimlilik/y_yetki_b_a_d_sirketler_tablo.aspx

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

3.3.5 Measure 37 (Turkey)

Indicator/s Non- core indicator: Total annual investment in energy renovation innovation - R - SH - M - T Name of the measure Public investment programs Type of measure Annual report Scale of application (local level or national level) National level Location and timeline Turkey, from 1963 Responsible organization Strategy and Budget Directorate Description Strategy and Budget Directorate declares public investments in the country with the report it publishes every year. Data are available to access this information by years. Source for impact data - Website http://www.sbb.gov.tr/kamu-yatirim-programlari/ Additional comments -

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4 Proposal of pathways for implementation and transversal measures

4.1 Pathways and transversal measures from Croatia 4.1.1 Environmental indicators

National level All environmental indicators: Data collected by use of SMIV tool to be collected more often in a more systematic way. Development of additional precise, easy to use measuring tools to measure improvements from renovation through alignment of national institutions and local governments. ● Systematic data collection ● Higher precision of measuring tools ● More frequent measuring and use of data ● Alignment of national institutions, agencies with local governments Local level All environmental indicators: Data collected by use of SMIV tool to be collected more often in a more systematic way. Development of additional precise, easy to use measuring tools to measure improvements from renovation through alignment of national institutions and local governments. ● Systematic data collection ● Higher precision of measuring tools ● More frequent measuring and use of data ● Alignment of national institutions, agencies with local governments

4.1.2 Social indicators

National level Indicators with no available data: Development of tools on previous and post renovation data on IAQ and Thermal Comfort. ● Tool development ● Attaining monitoring mechanisms and procedures Local level Indicators with no available data: National energy agencies to provide the necessary information on renovated households and non-residential buildings. Clear and precise data on post renovation conditions to be available. Specific programs to enable the local governments to collect such data to be developed. ● Data provision by national energy agencies ● New data on post renovation conditions to be available ● Capacity development of local governments to collect and use data

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.1.3 Economic indicators

National level Indicator; # companies involved in energy renovation - C- R-SH – P: Development of data on applications for funds for energy renovation, including companies involved in providing the service. ● Database development ● Energy renovation companies register

Local level Indicator; # companies involved in energy renovation - C- R-SH – P: Development of data on applications for funds for energy renovation, including companies involved in providing the service. ● Database development ● Energy renovation companies register

4.1.4 Main/transversal actions needed to implement the Framework and make it work in Croatia

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.2 Pathways and transversal measures from Hungary 4.2.1 Environmental Indicators

National and local level Multiple data sources >> data repository >> access given to repository for local governments >> local actions feedback to data repository Public energy efficiency improvements of local public buildings >> monthly/yearly reporting >> knowledge of demand side (seasonal energy variations, energy need spatial distribution) feeds back to overall supply side decisions, potential energy clustering and possibility for more efficient energy districts National and local partial data is incorporated into a national database, which is publicly available for all

4.2.2 Social indicators

National and local level Local municipalities record arrears on utility bills >> report to HNSO >> evaluation on national level >> social subsidies >> energy-efficiency monitoring Dashboard as an awareness method to announce own renovation activities to gain knowledge of benchmark and aim for more >> local database of residential and commercial renovation activities

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.2.3 Economic indicators

National and local level Identification of yearly renovation works (m2) and its spatial distribution >> Analysis of supply side of education and training system >> introduce or extend training programs spatially distributed to needs (government funding) Identification of yearly renovation works needs (m2) on the local level, including private and public projects >> make partnership with Territorial Chamber of Commerce and Industry (in Budaörs case PMKIK) on multiple year education and training program for local construction businesses and municipality staff >> enhance master-apprentice relationships >> use multiple-year engagement incentives

4.2.4 Main/transversal actions needed to implement the Framework and make it work in Hungary

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.3 Pathways and transversal measures from Ireland 4.3.1 Environmental Indicators

National and local level

4.3.2 Social indicators

National and local level

4.3.3 Economic indicators

National and local level

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.3.4 Main/transversal actions needed to implement the Framework and make it work in Ireland

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.4 Pathways and transversal measures from Italy 4.4.1 Environmental Indicators

National and local level

The first pathway for data collection covers all environmental indicators and an economic indicator (public and private investments for energy upgrading). The path proposes to systematize the data of the applications delivered to access national funds and incentives for the energy requalification of public and private buildings managed by different bodies (MISE, GSE, ENEA, Regions). It is proposed to create a single database made available to public administrations at different scales (local, regional, national). The creation of such a database is considered very useful by public administrations, which only for some measures can have access to data via the GSE, but generally over a very long period of time. In order to obtain the data, it is necessary to conclude an agreement between the public administrations and the competent ministry to define the terms of data sharing and how they should be expressed to respond to a specific indicator.

4.4.2 Social indicators

National and Local level The second pathway is related to data collection to tackle energy poverty. The reference indicator proposed in the Framework collects information on the percentage of households in arrears with the payment of energy bills. In order to use this indicator, it is proposed to involve energy service companies working on the territory to communicate gross data on consumption and bill payment to local authorities. By grouping the data at regional and national level it will be possible to assess the general energy poverty level and provide for the development of dedicated policies, which will be supported by continuous monitoring of the territory. The proposed data collection path is feasible, but some aspects have to be considered: the utilities involved in the energy service delivery on the same territory are many because they

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

depend on the consumer's choice. It is necessary to formulate an agreement for data collection and mandatory sharing with local public administrations.

4.4.3 Economic indicators

National and local level The third pathway aims at collecting data to assess how the construction market is affected by building renovation. The indicator of the Framework on the number of jobs created for energy requalification works is addressed. It is important to be able to distinguish between building renovations and specific interventions to improve energy performance. The companies involved in the construction site are currently registered, also for safety reasons (according to code 81/2008), but it is not easy to identify how many and which ones are involved in energy retrofit works. Information on the number of companies and jobs created by the energy requalification market can be derived by questioning trade associations, chambers of commerce, the labour inspectorate that have this data.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.4.4 Main/transversal actions needed to implement the Framework and make it work in Italy

1. Alignment with national sustainability objectives and existing indicators It is necessary to align sustainability objectives at different territorial scales (from national to local) to guide municipal urban planning. In particular, the MATTM published the national objectives in the National Sustainable Development Strategy which informed the regional strategies, the Municipalities have joined the Covenant of Mayors, so it is important that the Framework does not duplicate the work already done by the institutions. Sustainable development plans at different scales should be aligned in the objectives and speak a uniform language. This is why it is important to share definitions of indicators and the common glossary of terms and acronyms. In Italy, regions and municipalities are called upon to respond to a series of energy-environmental indicators produced by ISTAT. An effort must be made to harmonise the indicators promoted by the BUILD UPON2 project with those of ISTAT. This alignment would ​ also support having a uniform and sustainability-oriented view able to work at different scales. It is also necessary to analyse possible conflicts between the proposed indicators and existing legislation. 2. Role of Regions Italy is made up of numerous municipalities, the majority of which are small to medium sized. The larger municipalities have a more organized administrative structure and can manage a database for data collection and management, while the smaller municipalities are not able to manage it. In this respect, the role of the regions is crucial to support small municipalities that do not have the staff and expertise to collect and organise data in a systematic way. A virtuous example is that of the Marche Region, which has supported smaller municipalities in the same territory to achieve a shared, more effective and realistic SECAP. 3. Integration of the Framework into municipal procedures

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

At the local scale, the main suggestion concerns the integration of the indicator structure into the management practices of the authority and urban planning. It is necessary to implement a systematic data collection in order to have a picture of the needs of the city; a choice is to include indicators in the building regulations with clear practices that are also shared with professional bodies and trade associations called to provide data and information to respond to indicators. Not all municipalities have the capacity and resources to set up a data processing office, in fact many municipalities have few employees. For this reason, it would be useful to integrate the use of the matrix in the management processes already in place. Indeed, being able to include indicators in the procedures to assess the performance of the public entity, for example in the budget, would ensure their continuous application. In fact, the annual definition of the budget represents the execution of the political will of the entity. Public authorities already respond to environmental indicators, which, however, remain excluded from the municipal economic budget. It is therefore necessary to develop internal procedures for the collection and use of data. Often the different municipal sectors collect data and information that are not shared into a same system, and when they are needed it takes a long time to recover them.

4. Periodic updating and monitoring of indicators The indicators must be updated periodically and must be used on an ongoing basis to ensure that the phenomenon analysed is reflected over time. Greater interaction and integration is needed between those who hold the data to respond to the indicators and the policy makers who will have to use them in a broader framework of policy and budget definition. The monitoring of data through indicators must become a working method for the municipal administration in order to stay updated on the impact of actions for the redevelopment of buildings. Indicators can be introduced at an early stage of routine planning as long as they can be monitored. The planning should adopt models for the biennial monitoring of indicators. 5. Support tools It is necessary to address the issue of how to collect data to respond to the indicators, with the selection of the right tool. Procedure need to be defined to address how to insert new indicators and how to modify them over time, as well as how to relate data collection and reporting to decision makers. Municipalities need to organize themselves with tools and databases to be able to collect these data, which must be updated annually. The data must be collected homogeneously, with the same units of measurement. 6. Definition of a database for data collection and use of indicators To support systematic data collection at the local scale, it is important to build a database for data management with unique references in order to be able to respond to the indicators in a simple and immediate way by cross-referencing information from different sectors of public administration. Databases should be as usable and accessible as possible and with open-data transparent and truly shared.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.5 Pathways and transversal measures from Poland 4.5.1 Environmental Indicators

National and local level The below table shows how potentially a data collection could look like. Creation of a database with all the necessary pieces of information should be a first step towards reliably monitor the ongoing renovation process and its’ effects. Engagement of all the entities and organizations that collect certain data and make them share it is essential in this process.

4.5.2 Social indicators

National and local level Indicator: # households retrofitting their homes / year (R)

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.5.3 Economic indicators

National and local level Indicator: Total annual investment in energy renovation

4.5.4 Main/transversal actions needed to implement the Framework and make it work in Poland

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.6 Pathways and transversal measures from Spain 4.6.1 Environmental Indicators

National level A mechanism already put in place in Spain for statistical purposes could perfectly work as part of the path to obtain the data from the different administrative levels. The way it works is as follows: A national law from 1990 makes mandatory for every single building permit to fill in a ​ statistical sheet to describe the type of intervention (new / renovation), the elements affected by the intervention (façades, floor, walls, systems) and other characteristics (area ). Since the … building permit is managed and granted by each municipality, this statistical sheet is collected ​ at municipal level. ​ The data is managed at national level and monthly series are published. Also regular ​ ​ publications gathering information from 4 years. The statistics are published only at national ​ level and this mechanism, since it is well inserted in the administrative procedures, could be the basis for obtained the data needed fro some indicators of the Framework. So the proposal for completing and optimizing the path at national level would be: Widen the statistical sheet to collect additional data that make possible calculate certain ​ indicators Digitalize the statistical sheet fill-in (to feed:) ​ A database capable of giving information at national level but with further information ​ ​ ​ ​ This path would be valid for many data that is needed to calculate the indicators (not only environmental): areas renovated per type of building, number of buildings, number of dwellings, theoretical CO2 emissions (based on EPC), theoretical final and primary energy consumption (based on EPC), characterization of the interventions (depth of the renovation reached) and more, also social and economic (analyse what would be feasible)

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

Local level Optimize the mechanism described at national level in order to: ● Widen the statistical sheet to collect additional data that make possible calculate certain indicators ● Digitalize the statistical sheet fill-in ● Generate a database capable of giving information at any administrative level (city, province, region, national) The path (flow of information) is as follows: 1. Every single building permit fill in a statistical sheet (updated to cover data for the ​ Framework. Since the building permit is managed and granted by each municipality, this statistical sheet is collected at municipal level. ​ ​ 2. The data goes directly to a digitalized database (national management) that allows ​ have data aggregated according to the needs of information (municipal, province, region, national)

4.6.2 Social indicators

National and level % of households having arrears on utility bills and data that could serve for evaluating the energy poverty is currently collected directly at national level through a survey conducted by the central administration. But no information is given at municipal level. A way of obtaining information about arrears on utility bills could also be through the energy supply companies, since they have all the information. In fact, they have collaborated with the central government in the preparation of the 2020 LTRS, giving information about arrears in payments of energy bills (the data has not been disseminated). To have this information more openly available it would be necessary to work with those companies to have the path for obtaining that information without the need of preparing specific surveys, which are in fact less reliable. This could give information for all the administrative scales. A scheme similar to this (covering national and local level):

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.6.3 Economic indicators

National level 1. for private investment, the statistical sheet scheme could also work here, since the execution of works budget is also mandatory for getting the building permit 2. For public investment, 2 lines should be followed: o Spent in subsidies / plans / awareness campaigns o Spent for improving public bodies building In this case, a bottom-up approach will be valid for national and municipal level.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

Local level Following the idea explained at national level, for the investment indicators:

4.6.4 Main/transversal actions needed to implement the Framework and make it work in Spain

Improve existing Building Data Collection 1. Use existing data collection mechanisms, such as the mandatory questionnaire for Building Construction Statistics (Law 4/1990), described in the next point 2. The current system for collecting data from the Municipal Statistics Sheet, which is collected by the Ministry of Public Works (Housing), is obsolete and does not collect disaggregated data on renovation actions with effects on energy savings or CO2 emissions. The sheet should be reviewed and adapted to collect data for the Framework, in addition to digitizing it and making it a database that allows for aggregation and disaggregation of data at different territorial scales. 3. Offer incentives for the correct provision of this data or, in the case of subsidies, condition the granting of aids to deliver certain data 4. Building permits contain many information and, coupled with the statistical sheet, could help collect very valuable data. A deep analysis on what data can be got should be done 5. Minor construction works permits could collect more information (make it mandatory), especially for renewables 6. A good database for obtaining some of the data needed could be the municipal census, especially for the renovation rates. 7. Make a distinction between electrical consumption and fuel consumption in the building (through bills or energy certificates). For direct CO2 emissions we will not consider the reduction of electricity consumption (in the case of Spain).

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

Collaborate with organisations that could provide some data needed 8. Many of the companies specialised in renovations are SMEs. Contact with country’s associations grouping this kind of enterprises

Modification of some process to break barriers 9. The actual data on final energy consumption is available but are not accessible because it is in the hands of the energy suppliers. One possible measure would be to see how this data can be made available without violating the GDPR 10. One option for not breaching this law would be to give the aggregated data or to make it easier for users to give permission to obtain such aggregated data. This would also allow to have real primary energy and CO2 emissions data by applying the corresponding conversion factors Collect data from buildings receiving public grants for renovation 11. Buildings/households receiving public grants for renovation with energy efficiency criteria: State Plan, IDAE Programmes, Basque Government and Government of Navarre have some information collected. There could be a source of information there. For example, for energy related indicators (energy consumption and emissions), this can be obtained indirectly by calculating the savings from the previous theoretical consumption (Energy Certification). Also, the investment can be obtained from these programmes based on the mandatory budget to apply for a grant 12. For renovation actions with municipal public aid only, there is no other way than to track the 40/50 Spanish municipalities that give aid for these actions and that they collect the information as a requirement to obtain the subsidies. Coordination work for an intense policy of incentives for renovation 13. The COVID19 crises once again highlights the opportunity for an intense policy of incentives for renovation, directed from the central government in coordination with all the autonomous regions, with clear and medium terms (5 years) and consequences beyond the limit. 14. Determination of a homogeneous national system of data and indicators, identical for all local administrations, accompanied by an artificial intelligence system that allows the management of such data and decision making. 15. Clarity and simplicity in the definition of the current situation and that which is to be achieved, using the same diagnostic indicators/objectives for all the municipalities, through a single downloadable platform (app) adaptable to each municipality, which includes the diagnosis and georeferenced plans and which easily allows the introduction of data. Possible apps to implement the Framework 16. Software package that allows data collection and monitoring of indicators. Examples: ● http://ourcityourenergy.com/en/ + mobile app (monitoring energy costs, consumption, and emissions of municipalities)

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

● Mirador: open database with information on public buildings owned/occupied by the central government. Actual information for 2 indicators: Final energy consumption and CO2 emissions https://www.programaparae.es/mirador ​ Awareness to achieve financial support 17. Facilitate a data collection platform and the establishment of objectives by municipality. Financial support to municipalities to advance towards their objectives. Political and citizen awareness. Awareness within the local administration (civil servants) and support for its implementation. Progressively achieve mandatory status 18. Carry out a small survey of different sectors of the population with very simple (yes/no) but very relevant questions, for example, do you think that energy consumption is related to climate change? With 10 questions you could find out what the level of awareness of the population is. Fuel poverty 19. The databases and experience of the social services of the municipalities should be available and we should count on them and work together Economic indicators 20. Private investment must be a data provided by the companies involved. 21. Public investment can be taken out of the municipal budgets chapter VI (in Spain), but it should be controlled with a new budgeted and finally consolidated indicator 22. Professional associations (who approve the projects) have also many information that could be collected, but with clear definitions and instructions. Regarding the investments and the companies linked to building renovation 23. For the companies linked to building renovation, with the ones that performed subsidized renovation works create a register

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.7 Pathways and transversal measures from Turkey 4.7.1 Environmental Indicators

National and local level

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

Indicators: All environmental indicators Related data can be obtained from EPCs. As the responsible ministry, MoEU publishes monthly reports on how many building gets the EPC. This report can be expanded to show the status of renovation in terms of reduction of Co2 emissions, improvement of Net space heat demand, and produced renewable energy. Although the database of EPC is not publicly available, in case of an application from the official channels to the Ministry, the data shared with the applicant authority. Passing this step, the database should be available for local authorities.

4.7.2 Social indicators

National and local level Indicator: % of households having arrears on utility bills Electricity transmission companies have data of households having arrears on utility bills but all the data is gathered to the Ministry of Energy and Natural Resources (MENR). MENR could separate this information into the regional and local levels and make the database available for local authorities.

4.7.3 Economic indicators

National and local level To carry out energy efficiency services, MENR gives authorization to Energy Efficiency Consulting Companies (EEC) and publish these companies through a database yearly. The database could be expanded for all companies involved in energy renovations and EEC

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

companies may be empowered to collect information for those companies. EECs report this information to local authorities and a database is created.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.7.4 Main/transversal actions needed to implement the Framework and make it work in Turkey

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

4.8 Pathways and transversal measures from United Kingdom 4.8.1 Environmental Indicators

National level Local level 4.8.2 Social indicators

National level Locale level 4.8.3 Economic indicators

National level Local level 4.8.4 Main/transversal actions needed to implement the Framework and make it work in United Kingdom

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926

5 Conclusions

The main results of the large work of analysis are presented in the following paragraphs. A short summary of the full report will be published on the project website with a link to the full document where the detailed information of collected measures, pathways and transversal measures needed are reported. The major results of this deliverable are: - The highlight and share of national and local measure for a cross-seeding of good practices and capacity buildings among stakeholders - The collection of some good examples to inspire the implementation phase for the Framework, to improve its usability by public administrations and integration in regular procedures - The highlight of specific national and local needs in terms of actions, agreements and tools to make the framework work and overcome barriers to data collection and use of indicators

5.1.1 Existing measures at national and local scale (Part 3)

Overall 37 measures were selected among the resources collected by GBCs because of their particular significance for the implementation of the indicators of the Framework: 26 measures are referred to environmental indicators (of which 8 refer to non-core ones), 6 measures are related to social indicators (of which 4 refer non-core ones), 5 measures are referred to economic indicators (of which 1 refers to non-core ones). The following table highlights the type of tool (database, digital map, register ) is presented … by each measure for an easy navigation among the pages of the report. For the implementation of the full Framework databases, maps and web portals are the tools that seems more appropriate. The great value of this collection of measure lays in the opportunity for countries and municipalities to share how they face the collection of data and their report over indicators in terms of procedure and tools.

Type of measure How Environmental Social Economic many? indicators indicators indicators Questionnaire 2 10 (United Kingdom); 16 (Spain). Social indicators: Web software 4 1 (Spain); 19 31(Turkey) /web portal (Poland); 22 (Poland). Database 17 2(Spain); 3(Spain); 33(Spain); 4(Poland); 5(Poland); 34(Turkey) 6(Ireland); 7(United Kingdom); 8(Croatia); 9(United Kingdom);

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11(France); 14 (Croatia); 15 (Croatia); 18 (Turkey); 21 (Croatia); 24(Poland); 26 (Croatia) Register 2 12(Italy) 36(Turkey) Statistic 2 28 (United 35(Italy) Kingdom) Plan 1 20 (Poland) Interactive Map 5 23(Italy); 25(Turkey); 27(Ireland); 34(Turkey) 30(United Kingdom) Report 2 17 (Ireland) 37(Turkey) Methodology/ 2 29(Croatia); 32(Croatia) Recommendation s Design tool 6 2(Spain); 8 (Croatia); 13(Italy); 14 (Croatia); 15 (Croatia); 24(Poland)

5.1.2 Pathways and transversal measures by GBCs (Part 4)

The pathways and the transversal measure proposed by GBCs are country specific and reflect local needs as well as they are adapted to the organization and structure of local and national governmental levels in each country. Nevertheless, some common remarks are found and proposed in the following bullet points that refer to the use of the Framework, of the indicators and to data quality. Aim and use of the Framework ● Better express What the Framework is designed for, the use of the framework ● Align political goals to the Framework such ass adding municipal goals beside indicators ● Structure feedback loop between policy and indicators ● Political and citizens awareness on energy renovation and related benefits ● Suggest the inclusion of the framework in the local administration’s procedures

Best use of Indicators ● Align the Framework with existing indicators at national/local level ● Monitor indicators over time

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● Update regularly indicators

Quality and management of data ● Select support tools and databases for collection, management and report of data collected via indicators ● Between calculated and actual measured performances, choose the second option whenever possible ● If exactly the same data required by indicators are not collected by the administration, choose the nearest best available data ● Plan incentives for correct provision of data /to enhance the collection of quality data ● Involve organizations that can provide data ● Make agreements for data accessibility, collection and share (for instance with utilities or ministries) ● Provide homogenous national systems for data collection or as indicators that are the same for all municipalities

This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 840926