DEMANDCHARACTERSATION BY INSPIRE BASED EPC

DEMAND CHARACTERSATION BY INSPIRE BASED EPC GENERATION FOR ENERGY URBAN PLANNING TOWARDS THE DECARBONISATION OF BUILDINGS AND DISTRICTSGEMA HERNÁNDEZ MORAL – FUNDACIÓN CARTIFCÉSAR VALMASEDA TRANQUE – FUNDACIÓN CARTIFGIACOMO MARTIRANO – EPSILON ITALIA

VICTOR I. SERNA – FUNDACIÓN CARTIFGIULIA MASSA– FUNDACIÓN CARTIF

Demand characterisation by INSPIRE based EPC generation for energy urban planning towards the decarbonisation of buildings and districts

Non profit privateorganisation with a finalgoal: innovation

Foundation Centro Tecnológico CARTIFParque Tecnológico de Boecillo, 20547151 Boecillo, ValladolidSPAINhttp://www.cartif.com/

Research CentreGenerate technologicalknowledge to betransferred to companies /businesses to improve theircompetitiveness

Energy Division

Energy PoliciesDigital and industrial systems

Agroalimentationand processes

Smart Cities

Energy Efficiency

Renewable energy

Smart Grids


1. Context: legislative aspects to bear in mind2. ELISE (Energy Pilot) / PLANNER project3. Use Case 1: INSPIRE Harmonisation of EPC datasets4. Spanish Case study: replication of the results5. Conclusions

1. Context1. Context 2.ELISE vs PLANNER2.ELISE vs PLANNER 3. Use Case 13. Use Case 1 4. ES case study4. ES case study 5. Conclusions5. Conclusions




Before delving into the topic…

ENERGY PILOT(ELISE Action)

PLANNER PROJECT(Internal Project)

1. Context: Legislative aspects to bear in mind (EPBD, CoM, EED)1. Context: Legislative aspects to bear in mind (EPBD, CoM, EED)



- EPBD: Energy Performance of Buldings Directive

- CoM: Covenant of Mayors

- EED: Energy EfficiencyDirective

Image source: http://publications.jrc.ec.europa.eu/repository/handle/JRC104587

- INSPIRE Directive: locationdata

2. ELISE (Energy Pilot) vs PLANNER2. ELISE (Energy Pilot) vs PLANNER



UC1: INSPIRE Harmonization of existing Energy Performance Certificate datasets and creation of a web application

UC2: Benchmark of different Energy Performance Labelling of buildings

UC3: Assessing the Energy Performance of buildings with dynamic measured data

UC4: Supporting Energy Efficiency driven renovation planning of the building stock at local level

UC5: Supporting integrated energy planning and monitoring at urban/local level (SEAP BEI/MEI)

UC6: Supporting the design and implementation of a regional energy strategy

MAIN FOCUSPLANNER (internal CARTIF project)

Input data (cadastre) EPCs calculation

Output (energy demand

)MAPP

ING

Input data

(EPCs)

MAPP

ING

geo-rEPCs

UC1

UC2

VA

LID

ATI

ON

PLA

NN

ING

UC3 UC4

Source: PLANNER project, CARTIF, 2017

Energy Pilot (JRC)

3. Use Case 1: INSPIRE Harmonisation of EPC datasets3. Use Case 1: INSPIRE Harmonisation of EPC datasets



Objectives

Achievements

Replication of results

To establish an accessible and interoperable common knowledge base for EPC datasets to support local government and private sector involved in energy efficiency policies.

- Study of Trento’s EPC dataset structure (based on real EPCs)- Target data model proposal following INSPIRE- Creation of a web app to access EPCs following INSPIRE specifications

Spanish case study: EPC harmonisation based on the target model

3. Use Case 1: INSPIRE Harmonisation of EPC datasets3. Use Case 1: INSPIRE Harmonisation of EPC datasets



Image source: http://inspire-sandbox.jrc.ec.europa.eu/energy-pilot/use-case-1/data-models/uml-html-viewer/

4. Spanish Case study: replication of the results4. Spanish Case study: replication of the results



Methodology followed

1 EPC submission context in Spain

2 Datasets contained in an EPC

3 Comparison with target data model

CadasterPLANNER energy

demand data

PLANNER data model

EPC national data model(national xml)

1. Context1. Context 4. ES case study4. ES case study

REGIONS (e.g.CYL) monitor and validate results of certificates + show to public

EPC REGISTER

PUBLICLY AVAILABLE DATA

In each region (in Spain)

Maintained by each region

Different amount of information provided depending on the region

REG

IONS


5. Conclusions5. Conclusions


1: EPC submission context in SpainEPBD

(Energy Performance of Buildings Directive)

Need to generate EPCs

Need a calculation methodology

Establish “Common general framework for the calculation

of energy performance of buildings”

Base it on standard:CEN EN 15603

(more standards – CENSE)

EURO

PE

MEMBER STATES (SPAIN) transpose the need to generate certificates and general framework

FOUR VALIDATED EPC TOOLS

ALTERNATIVE PROCEDURES CE3X

CERMA

CEX

HULC

Justification required

SPAI

N ISSUE EPC

energy label

+

PDF format

XML formatAt

national level!




2: Datasets contained in a Spanish EPCPDF format XML format

EPC PDF format - Spain Sample of document – XML EPC content

Semantic richness of Spanish PDF / XML EPC version




3: Comparison with target data model

Building

Abstract Building

Professional

Energy System

Energy Conversion System

Certificate

Abstract Construction

Certifier

TARGET MODEL

Datos del certificador

Identificación edificio

Datos generales y geometría

Datos envolvente térmica

Instalaciones térmicas

Instalaciones iluminación

Condiciones generales funcionamiento y ocupación

Energías renovables

Demanda

Consumo

Emisiones CO2

Calificación

Medidas de mejora

Pruebas, comprobaciones e inspecciones

Datos personalizados

SPANISH EPC MODEL (XML)

Edificio

Certificato

Generatori

Impianti

Certificatore

TRENTO EPC MODEL

Main categories in each data model

1. Main category analysis

2. Attribute per attribute comparison (considering multiplicity)

3. Conclusions /quantification








Trento – Target data model tables(UC1 work)

Target data model – UML version(UC1 work)

Target data model – analysis tables

STEP 1








Spanish data model – analysis tables

STEP 2

Spanish XML official version








Spanish data model – analysis tables

STEP 3

Target data model – analysis tables

CONCLUSIONS / QUANTIFICATION








Concept Number of elements

(Target model)

Number of elements

(Spanish XML model)

Total number of attributes1 113 254

Main categories (feature types)3 10 17

Sub-categories (data types)4 14 50

Mandatory attributes2 24 (21.23%) 67 (26.38%)

Optional attributes2 89 (78.76%) 187 (73.62%)

Codelists5 24 42

General quantification of the data models




Concept Number of elements

(Target model)

Number of elements

(Spanish XML model)

Matching attributes 13

One to more relationships 21 33 (+7)

Similar attributes 9

Other sources 43 -

Non-matching attributes 33 199

Total number of attributes 119 254





Differences found in the comparison








• Perfect matching was difficult to obtain: different definitions and some attributes sometimes corresponded to more than one attribute in the opposite data model

• Mismatches in terminology: same concepts were treated differently in both data models

• Non-matching attributes: in Spanish data model are related mainly to building envelope data, improvement measures and energy labelling data (demand, consumption, emissions…)

It is important to highlight:

• Input and Output data: while the target data model deals with mainly output data and some necessary input data to calculate the EPC, the Spanish data model is semantically rich enough to hold all necessary input data.

5. Conclusions5. Conclusions



• EPC role not to be sub-estimated (not to be an administrative burden)

• INSPIRE role is highly relevant - in supporting, harmonising, providing the attributes across all member states and making them accessible through catalogues. In addition, location information allows to analyse patterns by location, be able to implement action plans / policies

• Replication possibilities: While the replication possibilities are necessary and possible, there are many differences related to the way EPCs are defined /conceived in each Member State and how the EPCs are managed (registers etc).

• Different conceptualisation of EPCs resides in calculation methodology adopted / interpretation of EPBD.

• Common calculation methodology in member states and registers at national level following the same data model would be highly beneficial to support energy action plans etc. Assuring that the same input data (harmonised across Europe and terminology) is deployed combined with the same calculation methodology will ensure reliable and comparable results across member states.

• Moreover, assuring an adequate methodology and making these data available to the public might also contribute for a better uptake of the EPCs .

Any questions?

THANKS FOR YOUR ATTENTION!http://api.voxel3d.es/examples/ENERGIS/portal/

Gema Hernández Moral - Fundación [email protected]

Víctor Iván Serna – F. [email protected]

Giulia Massa – F. [email protected]

César Valmaseda – F. [email protected]

Giacomo Martirano – Epsilon [email protected]

DEMANDCHARACTERSATION BY INSPIRE BASED EPC

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