CEE 111/211 Agenda Feb 17 Tuesday: SW for project work: Jetstream, MSP, Revit, Riuska, POP, SV On R: drive; takes time to install Acoustics today: \\cife server\files\classes\cee111\presentations Thursday: ICE sessions: your project 1
This week overview Day Tuesday Thursday Take-home Theory and practice: Predicting acoustic behavior ICE: Model and analyze a creative alternative 2
Dashboard in MACDADI -- POP Analyses tab Evaluation: Does a design option meet project requirements (Y/N)? Show options; indicate acceptability of assessed performance Measurable objectives 3 *Conformance to product objectives *Rentable area (ft2) *Project Cost (K$) Energy (KBTU/sq-ft/year) *Conformance (Actor assignment to Organization Function) (%) Organization Cost (K$) Actor Backlog *Safety: lost work incidents Predicted Project Schedule Delay (days) *Conformance (Actual schedule to plan) (%) Peak Predicted task delay (days) POP-V1 1 1 1 1 1 1 1 1 1 1 1 POP-V2 2-2 -2-2 2-2 -2-2 -2 1 1 Meets Req 1 1 1 1 1 1 1 1 1 1 1 Weight 15 15 10 15 5 5 10 10 5 10 5 Requireme Required Required Required Desirable Required Desirable Desirable Required Desirable Required Desirable Meets requirements Fails requirement
Dashboard in MACDADI Evaluation: How does performance of options 1-2 compare? Show options; indicate acceptability of assessed performance Assessed goodness of objectives *Conformance to product objectives 2 Peak Predicted task delay (days) *Rentable area (ft2) 1 Overall evaluated goodness *Conformance (Actual schedule to plan) (%) Predicted Project Schedule Delay (days) 0-1 -2 *Project Cost (K$) Energy (KBTU/sq-ft/year) POP-V1 POP-V2 Meets Requirements 150 100 50 0-50 -100-150 POP-V1 POP-V2 Meets Requirements *Safety: lost work incidents Actor Backlog Series1 *Conformance (Actor assignment to Organization Function) (%) Organization Cost (K$) 4
Oberlin College Big idea: Be careful -- predicted performance can be different than actual 5
Oberlin College 6
Oberlin College Source: John Scofield 7
Oberlin College Energy Recovery Ventilation (ERV) Source: John Scofield 8
Malmo, Sweden: Actual energy much worse than Predicted 9
Malmo, Sweden: Actual energy much worse than Predicted Reasons: Overly optimistic calibration factors from window vendors Analysis program did not properly consider thermal bridges Stick construction leaks air; only prefabrication of skin works 10
Building Efficiency: LEED Astray? The APS study concluded, however, that the nation s 121 LEED buildings actually use 30% more energy per square foot than the average for U.S. buildings. They used the median value for the LEED buildings and the mean for others, explains Richter. Using the mean for both types significantly bumps up the green buildings calculated energy use. 11
Recommendation: Predict and Measure 12
Project proposals MACDADI analysis: >=5 predicted behaviors E.g., Product: Rentable area, QTO, energy (Riuska) Organization: Actor backlog Process: Schedule delay risk (hidden work), NB: Although a prediction in a simplistic (CPM) sense, look at Primavera schedule as a model 13
Discussions MACDADI analysis: >=5 predicted behaviors TEI of the impact of introducing VDC 2x2 matrix (business options vs. costs and TEI) of the business case Option-1: Predicted Cost Predicted TEI Option-2: 14