Semantic Data-Driven Models to Improve Energy Efficiency in Buildings and Cities

Álvaro Sicilia Gómez; Gonçal Costa Jutglar; Leandro Madrazo Agudin

doi:10.4018/978-1-7998-7091-3.ch023

Semantic Data-Driven Models to Improve Energy Efficiency in Buildings and Cities

Research output: Book chapter › Chapter

Abstract

The assessment of building energy performance requires data from multiple domains (energy, architecture, planning, economy) and scales (building, district, city) to be processed with a diversity of applications used by experts from various fields. In order to properly assess the performance of the building stock, and to develop and apply the most effective energy efficiency measures, it is necessary to adopt a comprehensive, holistic approach. In this chapter, three research projects are presented which apply Semantic Web technologies to create energy data models from multiple data sources and domains in order to support decision making in energy efficient building renovation projects: SEMANCO, OptEEmAL, and OPTIMUS. A final reflection on the results achieved in these projects and their links to ongoing research on digital twins is presented.

Translated title of the contribution	Semantic Data-Driven Models to Improve Energy Efficiency in Buildings and Cities
Original language	English
Title of host publication	Handbook of Research on Developing Smart Cities Based on Digital Twins
Editors	Matteo Del Giudice, Anna Osello
Publisher	IGI Global http://www.igi-global.com/
Pages	515-539
Number of pages	24
ISBN (Print)	9781799870913
DOIs	https://doi.org/10.4018/978-1-7998-7091-3.ch023
Publication status	Published - 1 Jan 2021

UN SDGs

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

SDG 7 Affordable and Clean Energy

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10.4018/978-1-7998-7091-3.ch023

Cite this

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AU - Sicilia Gómez, Álvaro

AU - Costa Jutglar, Gonçal

AU - Madrazo Agudin, Leandro

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M3 - Chapter

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BT - Handbook of Research on Developing Smart Cities Based on Digital Twins

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ER -

Semantic Data-Driven Models to Improve Energy Efficiency in Buildings and Cities

Abstract

UN SDGs

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