The integration of quantitative information with an intelligent decision support system for residential energy retrofits
The purpose of this research is to support the development of an intelligent Decision Support System (DSS) by integrating quantitative information with expert knowledge in order to facilitate effective retrofit decision-making. To achieve this goal, the Energy Retrofit Decision Process Framework is analyzed. Expert system shell software, a retrofit measure cost database, and energy simulation software are needed for developing the DSS; Exsys Corvid, the NREM database and BEopt were chosen for implementing an integration model. This integration model demonstrates the holistic function of a residential energy retrofit system for existing homes, by providing a prioritized list of retrofit measures with cost information, energy simulation and expert advice. The users, such as homeowners and energy auditors, can acquire all of the necessary retrofit information from this unified system without having to explore several separate systems. The integration model plays the role of a prototype for the finalized intelligent decision support system. It implements all of the necessary functions for the finalized DSS, including integration of the database, energy simulation and expert knowledge.
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- In Collections
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Electronic Theses & Dissertations
- Copyright Status
- In Copyright
- Material Type
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Theses
- Authors
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Mo, Yunjeong
- Thesis Advisors
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Syal, Matt
- Committee Members
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Kim, Suk-Kyung
Mazor, Michael
- Date
- 2012
- Program of Study
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Construction Management
- Degree Level
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Masters
- Language
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English
- Pages
- xv, 248 pages
- ISBN
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9781267514660
1267514663
- Permalink
- https://doi.org/doi:10.25335/eh7m-kt59