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

Research output: Indexed journal article › Conference article › peer-review

9 Citations (Scopus)

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.

Original language	English
Pages (from-to)	85-90
Number of pages	6
Journal	Energy Procedia
Volume	136
DOIs	https://doi.org/10.1016/j.egypro.2017.10.291
Publication status	Published - 2017
Event	4th International Conference on Energy and Environment Research, ICEER 2017 - Porto, Portugal Duration: 17 Jul 2017 → 20 Jul 2017

Keywords

energy efficiency
energy information systems
energy services
semantic web
smart cities

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.egypro.2017.10.291

Cite this

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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 B.V.",

}

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 - http://www.scopus.com/inward/record.url?scp=85036455003&partnerID=8YFLogxK

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

Abstract

Keywords

UN SDGs

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