An Open Data Platform for Early-Stage Building Circularity Assessment

Lina Morkunaite, Fayez Al Naber, Ekaterina Petrova, Kjeld Svidt

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The construction industry is a significant source of pollution and consumer of natural resources. As the damage to the environment is rapidly growing, the criticism towards the linear economy model is increasing. Circular Economy is perceived as an environmentally friendly alternative. However, Circular Economy implementation in the industry is still in its infancy. Researchers agree that the early design phase plays a significant role in building circularity, but early-stage circularity assessment is not a common practice. Therefore, this paper investigates the technical needs for early circularity assessment and proposes a novel assessment framework relying on Semantic Web and Linked Building Data technologies. A new Building Circularity Assessment Ontology (BCAO) is proposed to structure the scattered heterogenous manufacturer product data needed for the assessment. The ontology and the application framework are evaluated in a use case that reveals the potential in guiding the design decisions to more circular alternatives.
Original languageEnglish
Title of host publicationProceedings of the 38th CIB W78 conference on Information and Communication Technologies for AECO
Number of pages10
Publication statusAccepted/In press - 2021
Event9th Linked Data in Architecture and Construction Workshop, LDAC 2021 - Luxembourg, Luxembourg
Duration: 11 Oct 202115 Oct 2021
Conference number: 9
https://www.cibw78-ldac-2021.lu/
http://linkedbuildingdata.net/ldac2021/

Conference

Conference9th Linked Data in Architecture and Construction Workshop, LDAC 2021
Abbreviated titleLDAC
Country/TerritoryLuxembourg
CityLuxembourg
Period11/10/2115/10/21
Internet address

Fingerprint

Dive into the research topics of 'An Open Data Platform for Early-Stage Building Circularity Assessment'. Together they form a unique fingerprint.

Cite this