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Y2E2 iRoom Analysis Final Presentation. Gabe Dietz Michael Ozowara Brian Ross Diane Santos Colin VanLang. Story - Materials. Glass Polycarbonate Drywall. Story - Project Description. Choosing Wall Material for iRoom Options As built
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Y2E2 iRoom AnalysisFinal Presentation Gabe Dietz Michael Ozowara Brian Ross Diane Santos Colin VanLang
Story - Materials Glass Polycarbonate Drywall
Story - Project Description Choosing Wall Material for iRoom Options • As built • Additional proposed changes (sliding glass doors, replace some polycarbonate with glass) • All glass MACDADI Analysis
Story - Project Models Energy (eQUEST) Acoustics (Ecotect) Egress (Simulex) Schedule/Cost/4D Model (Building Explorer) Daylight (DaySim)
Energy (eQUEST) Analysis • Overview • Analyze: • As Built • Proposed design • All glass • Outputs • Total Energy Usage (mainly Electricity Usage) • Goals • Overarching goals: • minimize life-cycle cost • Low operation energy • Translates into: avoid excessive increase in electricity usage compared to As Built option
Critical Assumptions • Window glazing • Chose window material based on Visible Light Transmittance • Estimated amount of outside light coming through CIFE Offices and Conference Room • Geometry • Excluded walls in rooms adjacent to IRoom (see lines and areas in red on diagram on the right) • HVAC • Simplified source of chilled water and hot water • in eQUEST, modeled sources as single chiller and boiler respectively • Wall material • For internal walls and West exterior, used data from Arup’s Y2E2 model • For other eQUEST exterior walls on N, E, S sidesdefined wall material with U-value=0.001 (lowest possible in eQUEST) • Hours of use • Fall, Winter, Spring Quarters: 9AM – 6PM • Summer Quarter: 10AM – 4PM • Lighting Density • From Arup’s model 1.5kWh/ft2 for IRoom (As Built) • Used Colin’s results to reduce density to 63% and 83% of As Built for Proposed and All Glass options respectively N Storage E W CIFE Student Offices IRoom Offices and ConferenceRoom S
As Built Notice missing walls
Proposed All glass changed to clear glass New Sliding Door
All Glass – Original Design All glass is clear glass
As Built eQUEST Output Annual Energy Usage *Ignore Natural Gas usage, since IRoom HVAC has no heating component
Proposed eQUEST Output Annual Energy Usage Cooling increased, but Area Lighting decreased (very minor differences)
All Glass eQUEST Output Annual Energy Usage No difference in Cooling between All Glass and Proposed Area Lighting decreased (again, very minor differences)
Annual Energy Usage Comparison • Very minor differences • General trends • Less cooling energy needed with greater clear-glass window area – only occupied during the day, so greater clear-glass window area means more sunlight in the space • Less lighting energy needed with greater clear-glass window area – greater window area means more daylighting • Interesting note: percent of total electricity usage for cooling load increased from As Built to Proposed and from As Built to All Glass
Energy Analysis MACDADI Rating MACDADI Metrics
Energy Analysis MACDADI Results Energy will not have a large impact. • Confidence in Results • Accuracy of information transfer: N/A – I had to generate all my models in eQUEST and could only import 2D drawings • Final Results: 60% • Many assumptions, had to make estimates, especially with window material • Simplified geometry and HVAC system • However, I did try changing the window material to ones with similar Visible Transmittance but different SHGC’s and other properties
Energy: Time Spent on Each Step * Time spent on each step includes time spent fixing errors
Acoustics (Ecotect) Analysis Overview • Analysis of three options to determine which performs best acoustically • As built (with and without partition wall) • All glass • Proposed design • Outputs drive which model performs the best • Acoustic response • Reverberation times • Ray tracing Goals • Reasonable quality of sound within the iroom (goals from CEE 321) • Support group lectures • Smaller discussions • Remote collaboration • Distributed range of frequencies • Music range (1000 to 10,000 Hz) • Voice range (10 to 100 Hz) • Reverberation does not distort sound
Acoustics (Ecotect) Analysis Metrics • Acoustic response – reasonable range of decay times • Reverberation times – decay of approximately one second • Ray tracing and lines of reflection
Acoustics (Ecotect) Analysis Inputs • Imported models from Revit (.dxf files) • Room materials • Doors: sliding glass door, wood, glass • Floor: concrete slab on ground • Wall materials: drywall, glass, plastic (polycarbonate) • Ceiling: metal deck, drywall, modeled with delay properties • Space volume: 441 m3 • Auditorium seating • Seating type: hard backed
Acoustics (Ecotect) Analysis Model Options
Acoustics (Ecotect) Analysis Acoustic Response and Ray Tracing
Acoustics (Ecotect) Analysis Reverberation
Acoustics (Ecotect) Analysis MACDADI Information
Egress Analysis • iRoom Goals • Collaboration • Support Large Group Discussions • Support large group receptions • Sponsorship and Community • Comfortable Working Environment • Safety • Egress
Egress (IES) Analysis • Overview • Simulex Program in IES • Analysis of 3 configurations for iRoom • Utilize all 3 exits • Output • Physical playback of egress • Text file with data reports for simulations • Goal • Minimize time needed to safely exit
Configuration 1 Students In iRoom All 4 Exits Defined Total Time: 15.6 sec
Configuration 2 Students Seated At desks Teachers Up Front Total Time: 11.9 sec
Configuration 3 Students Seated In Chairs Teachers Up Front Total Time: 17.4 sec
Configuration 1 Egress In Progress
Configuration 1 Typical iRoom Set Up Highest MACDADI Rating Difference in egress time is negligible Majority of simulation uses least noticeable exit Results
Cost/Schedule/4D Model Analysis • Overview • Analysis of 3 options to determine cost, schedule, and constructability • Cost will be a key (usually primary) consideration. • Small scope of project means that schedule is not as important • Constructability not a major issue because of the simplicity of the project.
Cost/Schedule/4D Model Analysis • Key Metrics • Cost • Lump sum cost in USD of each option relative to 3rd party estimate • Hard number calculated by software based on user input • Schedule • Total Duration in Days of each option relative to estimate based on experience • Hard number calculated by software based on user input
Cost/Schedule/4D Model Analysis • Inputs & Assumptions • Revit components are not custom • Matching RS Means assemblies to Revit components is an art • Geographic cost adjustment • RS Means costs are implicit about scope & methodology • Schedule is intuitive; based on experience
Cost/Schedule/4D Model Analysis • MACDADI Info Baseline: 3 (<3 Days) Baseline: 3 (0K) New Proposed: 0 (5 Days) New Proposed: 0 (68K) Glass: -2 (7 Days) Glass: -1 (78K)
Daylight (DaySim) Analysis • Why daylight? • More energy-friendly • Increase productivity • More friendly space • Overview • Analysis of how different options would affect kWh/sf and brightness levels at different points in the room
Daylight (DaySim) Analysis • Goals • Minimize kWh/sf • Maximize general brightness of room throughout the space • However, not too bright to avoid glare • Metrics • kWh/sf: Electric lighting use • Amount of energy needed to light a square foot of the room at 50 lux • Daylight Factor: ratio of indoor illuminance to outdoor luminance • Measure for glare • Luxh: Annual light exposure • Measure for brightness level
Daylight (DaySim) Analysis • Input and Assumptions • Use time: 9AM – 5PM • Typical class time • Minimum Illuminance Level: 50 lux • Default was 500 lux • Lighting Control: Combination switch-off occupancy & dimming system • Default was manual on/off switch • Site location: Sunnyvale (37.42 N/122.05 E) • Modeled section of Y2E2 Building (for simplicity)