Making Urban Energy Use More Intelligible Using Semantic Digital Twins

Sander R. de Meij; Alex J.A. Donkers; Dujuan Yang; Matthijs Klepper

Making Urban Energy Use More Intelligible Using Semantic Digital Twins

Sander R. de Meij (Corresponding author)
, Alex J.A. Donkers
, Dujuan Yang
, Matthijs Klepper

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

58 Downloads (Pure)

Abstract

There is great potential in urban energy modeling for mitigating the effects of increasing energy consumption in cities. However, there is limited integration of traditional building information and urban data in general. Therefore, this project suggests a novel data integration structure, the Neighborhood Energy Ontology (NEO). This ontology aims to connect urban data from different domains and scales to provide more intelligible insight to the end user. In order to assist with this goal, a dashboard was created which allows the end-user to interact with the data and come to new insights. It is suggested that the created ontology, in combination with the dashboard, is a suitable proof-of-concept to show how semantic solutions can aid in improving the potential of urban energy modeling to mitigate the adverse effects of increasing urbanization.

Original language	English
Title of host publication	LDAC 2023 : Linked Data in Architecture and Construction
Subtitle of host publication	Proceedings of the 11th Linked Data in Architecture and Construction Workshop, Matera, Italy, June 15-16, 2023
Editors	Walter Terkaj, Maria Poveda-Villalón, Pieter Pauwels
Publisher	CEUR-WS.org
Pages	110-122
Number of pages	13
Publication status	Published - 2023
Event	11th Linked Data in Architecture and Construction Workshop, LDAC 2023 - Matera, Italy Duration: 15 Jun 2023 → 16 Jun 2023 Conference number: 11 https://linkedbuildingdata.net/ldac2023/

Publication series

Name	CEUR Workshop Proceedings
Volume	3633
ISSN (Print)	1613-0073

Conference

Conference	11th Linked Data in Architecture and Construction Workshop, LDAC 2023
Abbreviated title	LDAC 2023
Country/Territory	Italy
City	Matera
Period	15/06/23 → 16/06/23
Internet address	https://linkedbuildingdata.net/ldac2023/

Funding

The authors would like to gratefully acknowledge the support from Eindhoven University Technology and the funding by Smart One W&I TKI KPN flagship.

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Semantic digital twin
Linked data
Urban energy usage
Neighborhood Energy Ontology
Dashboard
Linked Data

Access to Document

pdfFinal published version, 5.75 MBLicence: CC BY

Cite this

de Meij, S. R., Donkers, A. J. A., Yang, D., & Klepper, M. (2023). Making Urban Energy Use More Intelligible Using Semantic Digital Twins. In W. Terkaj, M. Poveda-Villalón, & P. Pauwels (Eds.), LDAC 2023 : Linked Data in Architecture and Construction: Proceedings of the 11th Linked Data in Architecture and Construction Workshop, Matera, Italy, June 15-16, 2023 (pp. 110-122). (CEUR Workshop Proceedings; Vol. 3633). CEUR-WS.org. https://linkedbuildingdata.net/ldac2023/files/papers/papers/LDAC2023_paper_6625.pdf

de Meij, Sander R. ; Donkers, Alex J.A. ; Yang, Dujuan et al. / Making Urban Energy Use More Intelligible Using Semantic Digital Twins. LDAC 2023 : Linked Data in Architecture and Construction: Proceedings of the 11th Linked Data in Architecture and Construction Workshop, Matera, Italy, June 15-16, 2023. editor / Walter Terkaj ; Maria Poveda-Villalón ; Pieter Pauwels. CEUR-WS.org, 2023. pp. 110-122 (CEUR Workshop Proceedings).

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title = "Making Urban Energy Use More Intelligible Using Semantic Digital Twins",

abstract = "There is great potential in urban energy modeling for mitigating the effects of increasing energy consumption in cities. However, there is limited integration of traditional building information and urban data in general. Therefore, this project suggests a novel data integration structure, the Neighborhood Energy Ontology (NEO). This ontology aims to connect urban data from different domains and scales to provide more intelligible insight to the end user. In order to assist with this goal, a dashboard was created which allows the end-user to interact with the data and come to new insights. It is suggested that the created ontology, in combination with the dashboard, is a suitable proof-of-concept to show how semantic solutions can aid in improving the potential of urban energy modeling to mitigate the adverse effects of increasing urbanization.",

keywords = "Semantic digital twin, Linked data, Urban energy usage, Neighborhood Energy Ontology, Dashboard, Linked Data",

author = "\{de Meij\}, \{Sander R.\} and Donkers, \{Alex J.A.\} and Dujuan Yang and Matthijs Klepper",

year = "2023",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS.org",

pages = "110--122",

editor = "Walter Terkaj and Maria Poveda-Villal{\'o}n and Pieter Pauwels",

booktitle = "LDAC 2023 : Linked Data in Architecture and Construction",

note = "11th Linked Data in Architecture and Construction Workshop, LDAC 2023, LDAC 2023 ; Conference date: 15-06-2023 Through 16-06-2023",

url = "https://linkedbuildingdata.net/ldac2023/",

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de Meij, SR, Donkers, AJA , Yang, D & Klepper, M 2023, Making Urban Energy Use More Intelligible Using Semantic Digital Twins. in W Terkaj, M Poveda-Villalón & P Pauwels (eds), LDAC 2023 : Linked Data in Architecture and Construction: Proceedings of the 11th Linked Data in Architecture and Construction Workshop, Matera, Italy, June 15-16, 2023. CEUR Workshop Proceedings, vol. 3633, CEUR-WS.org, pp. 110-122, 11th Linked Data in Architecture and Construction Workshop, LDAC 2023, Matera, Italy, 15/06/23. <https://linkedbuildingdata.net/ldac2023/files/papers/papers/LDAC2023_paper_6625.pdf>

Making Urban Energy Use More Intelligible Using Semantic Digital Twins. / de Meij, Sander R. (Corresponding author); Donkers, Alex J.A.; Yang, Dujuan et al.
LDAC 2023 : Linked Data in Architecture and Construction: Proceedings of the 11th Linked Data in Architecture and Construction Workshop, Matera, Italy, June 15-16, 2023. ed. / Walter Terkaj; Maria Poveda-Villalón; Pieter Pauwels. CEUR-WS.org, 2023. p. 110-122 (CEUR Workshop Proceedings; Vol. 3633).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Yang, Dujuan

AU - Klepper, Matthijs

N1 - Conference code: 11

PY - 2023

Y1 - 2023

N2 - There is great potential in urban energy modeling for mitigating the effects of increasing energy consumption in cities. However, there is limited integration of traditional building information and urban data in general. Therefore, this project suggests a novel data integration structure, the Neighborhood Energy Ontology (NEO). This ontology aims to connect urban data from different domains and scales to provide more intelligible insight to the end user. In order to assist with this goal, a dashboard was created which allows the end-user to interact with the data and come to new insights. It is suggested that the created ontology, in combination with the dashboard, is a suitable proof-of-concept to show how semantic solutions can aid in improving the potential of urban energy modeling to mitigate the adverse effects of increasing urbanization.

AB - There is great potential in urban energy modeling for mitigating the effects of increasing energy consumption in cities. However, there is limited integration of traditional building information and urban data in general. Therefore, this project suggests a novel data integration structure, the Neighborhood Energy Ontology (NEO). This ontology aims to connect urban data from different domains and scales to provide more intelligible insight to the end user. In order to assist with this goal, a dashboard was created which allows the end-user to interact with the data and come to new insights. It is suggested that the created ontology, in combination with the dashboard, is a suitable proof-of-concept to show how semantic solutions can aid in improving the potential of urban energy modeling to mitigate the adverse effects of increasing urbanization.

KW - Semantic digital twin

KW - Linked data

KW - Urban energy usage

KW - Neighborhood Energy Ontology

KW - Dashboard

KW - Linked Data

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M3 - Conference contribution

T3 - CEUR Workshop Proceedings

SP - 110

EP - 122

BT - LDAC 2023 : Linked Data in Architecture and Construction

A2 - Terkaj, Walter

A2 - Poveda-Villalón, Maria

A2 - Pauwels, Pieter

PB - CEUR-WS.org

T2 - 11th Linked Data in Architecture and Construction Workshop, LDAC 2023

Y2 - 15 June 2023 through 16 June 2023

ER -

de Meij SR, Donkers AJA , Yang D, Klepper M. Making Urban Energy Use More Intelligible Using Semantic Digital Twins. In Terkaj W, Poveda-Villalón M, Pauwels P, editors, LDAC 2023 : Linked Data in Architecture and Construction: Proceedings of the 11th Linked Data in Architecture and Construction Workshop, Matera, Italy, June 15-16, 2023. CEUR-WS.org. 2023. p. 110-122. (CEUR Workshop Proceedings).

Making Urban Energy Use More Intelligible Using Semantic Digital Twins

Abstract

Publication series

Conference

Funding

UN SDGs

Keywords

Access to Document

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Building sustainable urban energy systems: The role of linked data in photovoltaic generation estimation at neighbourhood level

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