HORIZON EUROPE
European
Specific Challenge:European buildings are producing an increasing number of data on energy generation and consumption from various sources (e.g. smart meters, building management systems). Collecting and making available reliable data on buildings is a key challenge for the European Union. Enabling big data for buildings is key to achieving the EU targets. More and better data can lead to enhanced consumer information, contribute to an effective management of energy grids and support the creation of innovative energy services, new business models and financing schemes for distributed clean energy. Data is also a key enabler for reliable and effective policy impact assessments. The collection and analysis of building data, through data analytics tools, will produce statistics, business intelligence and predictive models that will enable reliable and effective policymaking.
Scope:Actions should focus on developing and demonstrating large-scale pilot test-beds for big data application in buildings.
More specifically actions should:
define a reference architecture for buildings data; anddevelop and pilot an open, cloud-based data analytics...
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Specific Challenge:European buildings are producing an increasing number of data on energy generation and consumption from various sources (e.g. smart meters, building management systems). Collecting and making available reliable data on buildings is a key challenge for the European Union. Enabling big data for buildings is key to achieving the EU targets. More and better data can lead to enhanced consumer information, contribute to an effective management of energy grids and support the creation of innovative energy services, new business models and financing schemes for distributed clean energy. Data is also a key enabler for reliable and effective policy impact assessments. The collection and analysis of building data, through data analytics tools, will produce statistics, business intelligence and predictive models that will enable reliable and effective policymaking.
Scope:Actions should focus on developing and demonstrating large-scale pilot test-beds for big data application in buildings.
More specifically actions should:
define a reference architecture for buildings data; anddevelop and pilot an open, cloud-based data analytics toolbox. The reference architecture should ensure compatibility with existing dataset formats across Europe, allow integration with legacy architectures, encourage replication and scale-up and be compliant with applicable EU standards (e.g. privacy, security, intellectual property). The data architecture should be modular in order to accommodate data from various sources including dynamic data from Smart Meters, Sensors and other IoT devices, Building Management Systems (BMS), energy market prices, weather data, currency exchange rates, as well as static data from existing databases such as consumer consumption data, Energy Performance Certificates (EPC) repositories and Building Stock Observatory.
Proposers should perform an extensive review of existing datasets across EU and take into account ongoing initiatives such as:
EC Directives and initiatives (e.g. EPBD, EED, Ecodesign, INSPIRE, Digital Single Market);Reports and studies commissioned by EC on relevant topics (e.g. EU Building Stock observatory, Data Exchange Study);Existing frameworks and architectures (e.g. Level(s), SAREF, BIM, legacy formats). The data analytics toolbox should be able to process big and diverse sets of data and perform Statistical Analysis, Data Visualisation, Business Intelligence (BI) and Predictive Modelling. The tools used should enable the integration of state of the art data science technologies like Statistics, Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL).
The data analytics toolbox should support third party development of a wide range of services and business models with the objective:
to monitor and improve the energy performance of buildings;to facilitate the design and development of building infrastructure (e.g. district heating and cooling networks);to support policy making and policy impact assessment; andto de-risk investments in energy efficiency (e.g. by reliably predicting and monitoring energy savings). The toolbox should foresee communication protocols to be able to pull data from and push data to existing datasets (e.g. the EU building stock observatory) in an automated way without manual intervention (e.g. using APIs). The toolbox should be built on state-of the art technologies and be hosted at a well-known, stable, secure and scalable cloud service provider (IaaS/SaaS/PaaS).
Proposed actions should demonstrate that they have access to existing large-scale real datasets and should engage as many as necessary of the following actors: national and local governments, network operators, suppliers, ESCO’s, building managers & facilitators, the construction & renovation sector and software developers with proven experience in data collection and data analysis. Projects are expected to collaborate with EU-funded projects[1] on big data as well as the contractor in charge of Maintenance and Update of the EU Building Stock Observatory[2]. Proposers are expected to implement large-scale communication and dissemination campaigns in order to engage public authorities and the market actors.
Projects are required to follow the H2020 guidance on ethics and data protection[3], taking into account digital security, privacy and data protection requirements including the compliance with relevant directives/regulations (e.g. NIS[4] , eIDAS[5], GDPR[6] ) and relevant National Legislation.
The Commission considers that proposals requesting a contribution from the EU of between 3.5 and 4 million EUR would allow this area to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.
This topic contributes to the roadmap of the Energy-efficient Buildings (EeB) cPPP.
Expected Impact:Proposals are expected to demonstrate the impacts listed below, using quantified indicators and targets wherever possible:
Significant and measureable contribution to standardisation of European buildings data;Demonstrated interoperability with data hubs at national or supranational level;Creation of new data-driven business models and opportunities and innovative energy services based on the access and process of valuable datasets;Better availability of big data and big data analysis facilities for real-life scale research, simulation and policy-making;Tangible engagement of key stakeholders in building the database and contributing with real data;A growing up-take of innovative data gathering and processing methods in the monitoring and verification of energy savings;Effective integration of relevant digital technologies in the buildings sector, resulting in integrated value chains and efficient business processes of the participating organizations;Strengthened links with the relevant programmes and initiatives aiming at building data collection and storage, supported by regional, national and European policies and funds;Emergence of sustainable ecosystems around big data platforms.
Cross-cutting Priorities:Contractual Public-Private Partnerships (cPPPs)EeBClean Energy
[1]EU-funded projects on data (https://ec.europa.eu/digital-single-market/en/eu-funded-projects-data)
[2]EU Building Stock Observatory (https://ec.europa.eu/energy/en/eubuildings)
[3]http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/ethics/h2020_hi_ethics-data-protection_en.pdf
[4]Directive (EU) 2016/1148 of the European Parliament and of the Council of 6 July 2016 concerning measures for a high common level of security of network and information systems across the Union.
[5]Regulation (EU) No 910/2014 of the European Parliament and of the Council of 23 July 2014 on electronic identification and trust services for electronic transactions in the internal market and repealing Directive 1999/93/EC.
[6]Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).
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Consortium characteristics
:
The aid is European, you can apply to this line any company that is part of the European Community.
characteristics of the Proyecto
Los costes de personal subvencionables cubren las horas de trabajo efectivo de las personas directamente dedicadas a la ejecución de la acción. Los propietarios de pequeñas y medianas empresas que no perciban salario y otras personas físicas que no perciban salario podrán imputar los costes de personal sobre la base de una escala de costes unitarios
Los otros costes directos se dividen en los siguientes apartados: Viajes, amortizaciones, equipamiento y otros bienes y servicios. Se financia la amortización de equipos, permitiendo incluir la amortización de equipos adquiridos antes del proyecto si se registra durante su ejecución. En el apartado de otros bienes y servicios se incluyen los diferentes bienes y servicios comprados por los beneficiarios a proveedores externos para poder llevar a cabo sus tareas
La subcontratación en ayudas europeas no debe tratarse del core de actividades de I+D del proyecto. El contratista debe ser seleccionado por el beneficiario de acuerdo con el principio de mejor relación calidad-precio bajo las condiciones de transparencia e igualdad (en ningún caso consistirá en solicitar menos de 3 ofertas). En el caso de entidades públicas, para la subcontratación se deberán de seguir las leyes que rijan en el país al que pertenezca el contratante
Characteristics of financing
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
Submission and evaluation processes are described in the Online Manual.
In line with the other topics for Innovation Actions contributing to the PPP on Energy-efficient Buildings and SPIRE, the threshold for the criteria Excellence and Impact will be 4. The overall threshold, applying to the sum of the three individual scores, will be 12.
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Innovation Action:
Specific provisions and funding rates
Standard propo... 1. Eligible countries: described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
Submission and evaluation processes are described in the Online Manual.
In line with the other topics for Innovation Actions contributing to the PPP on Energy-efficient Buildings and SPIRE, the threshold for the criteria Excellence and Impact will be 4. The overall threshold, applying to the sum of the three individual scores, will be 12.
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Classified information
Technology readiness levels (TRL) – where a topic description refers to TRL, these definitions apply
Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.
8. Additional documents:
1. Introduction WP 2018-20
10. Secure, clean and efficient energy WP 2018-20
12. Climate action, environment, resource efficiency and raw materials WP 2018-20
18. Dissemination, Exploitation and Evaluation WP 2018-20
General annexes to the Work Programme 2018-2020
Legal basis: Horizon 2020 Regulation of Establishment
Legal basis: Horizon 2020 Rules for Participation
Legal basis: Horizon 2020 Specific Programme
7. Open access must be granted to all scientific publications resulting from Horizon 2020 actions.
Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.
Open access to research data
The Open Research Data Pilot has been extended to cover all Horizon 2020 topics for which the submission is opened on 26 July 2016 or later. Projects funded under this topic will therefore by default provide open access to the research data they generate, except if they decide to opt-out under the conditions described in Annex L of the Work Programme. Projects can opt-out at any stage, that is both before and after the grant signature.
Note that the evaluation phase proposals will not be evaluated more favourably because they plan to open or share their data, and will not be penalised for opting out.
Open research data sharing applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available open access and need to describe their approach in a Data Management Plan.
Projects need to create a Data Management Plan (DMP), except if they opt-out of making their research data open access. A first version of the DMP must be provided as an early deliverable within six months of the project and should be updated during the project as appropriate. The Commission already provides guidance documents, including a template for DMPs. See the Online Manual.
Eligibility of costs: costs related to data management and data sharing are eligible for reimbursement during the project duration.
The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
Additional information about the call
other advantages
