BCIT

Building Science Graduate Program

Sustainability + Innovation

  • Home
  • About Us
    • Our Team
  • Academic
    • MASc – Master of Applied Science in Building Engineering/Building Science
    • MEng – Master of Engineering in Building Science
    • Graduate Certificate in Building Energy Modelling
    • Part-time Master’s Program
    • Graduate Student Funding
  • Research
    • Building Science Centre of Excellence
    • Research Infrastructure
    • Student Research
  • News
  • Knowledge Base
  • Student Club
    • Events
    • Student Club Contacts
  • Contact

Building Integration

Building Science is integrative in nature. As such, mastering the body of knowledge of building science naturally leads to achieving proper building integration: horizontal integration between building systems; and vertical integration between building life-cycle phases: planning, design, construction, service-life/maintenance/renovation, and deconstruction/reuse.

Picture3

The building performance tree analogy shows building performance rooted in service life, economy, and natural environmental requirements. All performance branches are connected in some way to the trunk (people) and dependent on it. The figure emphasizes the central role of people in determining building performance (i.e. the fruits of the performance tree). The health of a tree depends on having the right soil conditions and being judiciously selected (designed) and planted (built) for the right climate (shade, sun, wind).

A Knowledge-based Approach to Building Integration

There is a need for a common language to facilitate the communication of the essential aspects of knowledge that need to be shared among building domains. The starting point to develop such a language is to create a formal representation of the knowledge involved in problem-solving (design, analysis, diagnosis, etc.). Such a representation is called ontology: “A domain ontology is a representation of concepts, relationships, and axioms that forms a foundation of reasoning about a domain” (Janik and Kochut 2008).

Picture4

The upper ontology represents only higher-level knowledge entities and their relationships. These higher-level entities represent sub-ontologies that are in turn broken down hierarchically to encapsulate increased levels of detail. At lower hierarchical levels, entities between sub-ontologies are interconnected in different ways. Ideally, such an abstraction mechanism would facilitate moving freely between levels of detail, uncover knowledge connections, and looking at building problems from different angles.

The case study below demonstrates the application of these principles:

Hong Kong Poster

Join the Discussion

  • The Building Science Graduate Program
  • Scholarship opportunity
  • Student paper recognition by ASHRAE
  • 2019 Buildings XIV International Conference
  • Architect Magazine: The Case of the Missing Energy Model

RSS Journal of Building Physics

  • An error has occurred, which probably means the feed is down. Try again later.

Categories

  • building science
  • Indoor Air Quality
  • Indoor Environmental Quality
  • Scholarships
  • Uncategorized

Archives

  • August 2021
  • January 2019
  • October 2018
  • May 2016
  • April 2016
  • October 2015
  • April 2013
  • February 2013
  • January 2013
  • December 2012

Copyright © 2025 · BCIT · BCIT Commons