1 / 8

CEE215 Midterm Presentation

CEE215 Midterm Presentation. Optima Team Helen Chen Ruo Ge Amir Kavousian. Current State – Overall Process. Teams. Time. Current State – Schematic Design Process. Teams. Time. Teams Model. Summary of Goals Model. Goals and Metrics. Daylighting (Environmental)

demi
Télécharger la présentation

CEE215 Midterm Presentation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CEE215 Midterm Presentation Optima Team Helen Chen RuoGe Amir Kavousian

  2. Current State – Overall Process Teams Time

  3. Current State – Schematic Design Process Teams Time

  4. Teams Model

  5. Summary of Goals Model

  6. Goals and Metrics • Daylighting (Environmental) • % of indoor spaces that is day-lit • Hours of sunlight on each terrace • Circulation and Transportation (Social) • Distance away from public transportation • % of total parking spaces allocated for fuel-efficient vehicles • Number of parking spaces per resident/guest • Land Use (Economic) • Number of dwelling units per acre • Ratio of landscaped area to total land area

  7. Future State – Schematic Design Process Teams Time

  8. Summary of “Innovation” • Use virtual models early in the schematic design process • Use virtual models to better inform the decision-making models (e.g., Cost, Energy, Daylighting, Clash Detection) • Explicitly define goals, preferences and metrics at the start of the development process • Incorporate more stakeholders in decision making (e.g., neighbor focus groups) • Generate decision-making models to organize and structure the decision-making process (e.g., MACDADI, DD)

More Related