An energy information system for retrofitting smart urban areas

Álvaro Sicilia; Leandro Madrazo; Marco Massetti; Fabian López Plazas; Eric Ortet

doi:10.1016/j.egypro.2017.10.291

An energy information system for retrofitting smart urban areas

Álvaro Sicilia^*
, Leandro Madrazo
, Marco Massetti
, Fabian López Plazas
, Eric Ortet

^*Autor corresponent d’aquest treball

Producció científica: Article en revista indexada › Article de conferència › Avaluat per experts

12 Cites (Scopus)

Resum

This paper presents the ENERSI platform, an energy information system that provides advanced energy services by means of integrating energy related data from multiple domains and formats using Semantic Web technologies. The platform services can provide qualified information at different scales - from building to district, city and region - to different kind of users - such as building owners, city planner, energy agencies, architects, contractors and consultants - to take decisions aimed at improving the building energy performance in their respective decision-making realms.

Idioma original	Anglès
Pàgines (de-a)	85-90
Nombre de pàgines	6
Revista	Energy Procedia
Volum	136
DOIs	https://doi.org/10.1016/j.egypro.2017.10.291
Estat de la publicació	Publicada - 2017
Esdeveniment	4th International Conference on Energy and Environment Research, ICEER 2017 - Porto, Portugal Durada: 17 de jul. 2017 → 20 de jul. 2017

SDG de les Nacions Unides

Aquest resultat contribueix als següents objectius de desenvolupament sostenible.

ODS 7 Energia neta i assequible
ODS 11 Ciutats i comunitats sostenibles

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10.1016/j.egypro.2017.10.291

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@article{3b8879fa9413414f8cbe210bc64b2955,

title = "An energy information system for retrofitting smart urban areas",

abstract = "This paper presents the ENERSI platform, an energy information system that provides advanced energy services by means of integrating energy related data from multiple domains and formats using Semantic Web technologies. The platform services can provide qualified information at different scales - from building to district, city and region - to different kind of users - such as building owners, city planner, energy agencies, architects, contractors and consultants - to take decisions aimed at improving the building energy performance in their respective decision-making realms.",

keywords = "energy efficiency, energy information systems, energy services, semantic web, smart cities",

author = "{\'A}lvaro Sicilia and Leandro Madrazo and Marco Massetti and Plazas, \{Fabian L{\'o}pez\} and Eric Ortet",

note = "Funding Information: This work has been carried out within the research project ENERSI co-funded by the Ministry of Economy and Competitiveness of the Government of Spain (Reference number RTC-2014-2676-3). We would like to thank the ppusort ofe thtitt sIunatal{\`a}CerEgndia {\textquoteright}EN)(AICdane thcia {\`e}nAgde Habitatl{\textquoteright}e gde ataCa nyluorfacilfitatignteirh data about EPCs and building technical inspections in Catalonia, respectively. Publisher Copyright: {\textcopyright} 2017 The Authors. Published by Elsevier Ltd.; 4th International Conference on Energy and Environment Research, ICEER 2017 ; Conference date: 17-07-2017 Through 20-07-2017",

year = "2017",

doi = "10.1016/j.egypro.2017.10.291",

language = "English",

volume = "136",

pages = "85--90",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd.",

}

TY - JOUR

T1 - An energy information system for retrofitting smart urban areas

AU - Sicilia, Álvaro

AU - Madrazo, Leandro

AU - Massetti, Marco

AU - Plazas, Fabian López

AU - Ortet, Eric

N1 - Funding Information: This work has been carried out within the research project ENERSI co-funded by the Ministry of Economy and Competitiveness of the Government of Spain (Reference number RTC-2014-2676-3). We would like to thank the ppusort ofe thtitt sIunatalàCerEgndia ’EN)(AICdane thcia ènAgde Habitatl’e gde ataCa nyluorfacilfitatignteirh data about EPCs and building technical inspections in Catalonia, respectively. Publisher Copyright: © 2017 The Authors. Published by Elsevier Ltd.

PY - 2017

Y1 - 2017

N2 - This paper presents the ENERSI platform, an energy information system that provides advanced energy services by means of integrating energy related data from multiple domains and formats using Semantic Web technologies. The platform services can provide qualified information at different scales - from building to district, city and region - to different kind of users - such as building owners, city planner, energy agencies, architects, contractors and consultants - to take decisions aimed at improving the building energy performance in their respective decision-making realms.

AB - This paper presents the ENERSI platform, an energy information system that provides advanced energy services by means of integrating energy related data from multiple domains and formats using Semantic Web technologies. The platform services can provide qualified information at different scales - from building to district, city and region - to different kind of users - such as building owners, city planner, energy agencies, architects, contractors and consultants - to take decisions aimed at improving the building energy performance in their respective decision-making realms.

KW - energy efficiency

KW - energy information systems

KW - energy services

KW - semantic web

KW - smart cities

UR - https://www.scopus.com/pages/publications/85036455003

U2 - 10.1016/j.egypro.2017.10.291

DO - 10.1016/j.egypro.2017.10.291

M3 - Conference article

AN - SCOPUS:85036455003

SN - 1876-6102

VL - 136

SP - 85

EP - 90

JO - Energy Procedia

JF - Energy Procedia

T2 - 4th International Conference on Energy and Environment Research, ICEER 2017

Y2 - 17 July 2017 through 20 July 2017

ER -

An energy information system for retrofitting smart urban areas

Resum

SDG de les Nacions Unides

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