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Modeling Architecture to manage Energy, Social, and Governance (ESG) data of commercial buildings
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

A Green building is a well-managed building both in its technical and managerial senses. To achieve a Green Building standard, real estate developers should have frameworks in place to monitor and provide information regarding the sustainable aspects of the building. ESG data of a building is related to the Energy, Social, and Governance impact made by a building during its operations, and building a standardized and scalable solution to monitor this data will allow the developers to achieve a Green Building status easily. A Building Information Model is an architectural model that can be used to manage data from within a building to help provide its stakeholders with relevant data.

This thesis aimed to design a BIM to manage the ESG data of a commercial building allowing the real estate developers to monitor and manage the building more sustainably with improved transparency and with the ability to make faster data-driven decisions. Action Design Research was the research strategy used to carry out the research and semi-structured interviews along with literature reviews were conducted to collect data. Thematic Analysis was done to identify themes in the collected data and the analyzed data was used to create the artifact. The artifact was then tested in the industry by gaining feedback from the industry. The thesis successfully designed an architecture model by collaborating with the industry and suggesting a universally applicable model to manage ESG data more efficiently. The model also gives importance to external software vendors and data consumers to help make the system more scalable and adaptable.

Place, publisher, year, edition, pages
2023.
Keywords [en]
Green Building, ESG, Commercial Real Estate, Building Information Model
National Category
Information Systems
Identifiers
URN: urn:nbn:se:su:diva-221691OAI: oai:DiVA.org:su-221691DiVA, id: diva2:1800599
Available from: 2023-09-27 Created: 2023-09-27

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Chungath, Joseph
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf