Envelope Systems
Parent: Center for the Built Environment
eScholarship stats: Breakdown by Item for March through June, 2025
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 2pn696vv | Thermal comfort in naturally ventilated buildings: revisions to ASHRAE Standard 55 | 268 | 72 | 196 | 26.9% |
| 3f73w323 | A Standard for Natural Ventilation | 242 | 50 | 192 | 20.7% |
| 9kt889fn | The effect of thermochromic windows on visual performance and sustained attention | 185 | 9 | 176 | 4.9% |
| 4vq936rc | High-performance facades design strategies and applications in North America and Northern Europe | 172 | 62 | 110 | 36.0% |
| 4x57v1pf | Operable windows, personal control and occupant comfort. | 168 | 36 | 132 | 21.4% |
| 89d4871t | The adaptive model of thermal comfort and energy conservation in the built environment | 161 | 48 | 113 | 29.8% |
| 09b861jb | The impact of a view from a window on thermal comfort, emotion, and cognitive performance | 152 | 67 | 85 | 44.1% |
| 6rp85170 | Window performance for human thermal comfort | 151 | 23 | 128 | 15.2% |
| 46p439jv | View Access Index: The effects of geometric variables of window views on occupants’ satisfaction | 136 | 44 | 92 | 32.4% |
| 0gj8h384 | Building envelope impact on human performance and well-being: experimental study on view clarity | 122 | 25 | 97 | 20.5% |
| 8kp8352h | Summary Report: Control Strategies for Mixed-Mode Buildings | 121 | 15 | 106 | 12.4% |
| 3bb8x7b8 | Mixed-mode cooling. | 119 | 25 | 94 | 21.0% |
| 9jk1d795 | Performance, prediction, optimization, and user behavior of night ventilation | 105 | 22 | 83 | 21.0% |
| 81t2t9vd | Ventilation, thermal and luminous autonomy metrics for an integrated design process | 94 | 22 | 72 | 23.4% |
| 7b4909sf | Balancing Thermal and Luminous Autonomy in the Assessment of Building Performance | 82 | 8 | 74 | 9.8% |
| 9pq9w5r2 | Comfort standards and variation in exceedance for mixed-mode buildings. | 79 | 16 | 63 | 20.3% |
| 7c8347dk | Assessment of Energy Use and Comfort in Buildings Utilizing Mixed-Mode Controls with Radiant Cooling | 78 | 28 | 50 | 35.9% |
| 42q6f5gm | Window Signaling Systems: Control Strategies & Occupant Behavior | 74 | 7 | 67 | 9.5% |
| 5vb3x9d6 | A simulation-based design analysis for the assessment of indoor comfort under the effect of solar radiation | 72 | 7 | 65 | 9.7% |
| 0835d5w4 | Human Behavior Meets Building Intelligence: How Occupants Respond to “Open Window” Signals | 70 | 3 | 67 | 4.3% |
| 1mq5k9mw | Impact of Fixed Exterior Shading on Daylighting: A Case Study of the David Brower Center | 70 | 13 | 57 | 18.6% |
| 0wk026w2 | Occupant satisfaction in mixed-mode buildings | 68 | 27 | 41 | 39.7% |
| 40k1s1vd | Occupant satisfaction in mixed-mode buildings. | 66 | 14 | 52 | 21.2% |
| 0hk689fx | Mixed-mode simulations for climate feasibility | 65 | 7 | 58 | 10.8% |
| 0t70f65m | Window Use in Mixed-Mode Buildings: A Literature Review | 65 | 15 | 50 | 23.1% |
| 1p92f2pm | Mixed-Mode Ventilation and Building Retrofits | 65 | 8 | 57 | 12.3% |
| 4133390m | Window signalling systems: control strategies and occupant behaviour | 65 | 10 | 55 | 15.4% |
| 5087z1zd | Shading and Cooling: Impacts of Solar Control and Windows on Indoor Airflow | 65 | 31 | 34 | 47.7% |
| 8602z54h | The effects of surrounding buildings on wind pressure distributions and natural ventilation in long building rows | 65 | 35 | 30 | 53.8% |
| 5gx2n1zz | Occupant Control of Windows: Accounting for Human Behavior in Building Simulation | 61 | 10 | 51 | 16.4% |
| 3hg066qm | Predicting natural ventilation in residential buildings in the context of urban environments | 58 | 22 | 36 | 37.9% |
| 8x28q3qs | A method for designing naturally cooled buildings using bin climate data | 58 | 8 | 50 | 13.8% |
| 7qg1945w | Effective Daylighting: Evaluating Daylighting Performance in the San Francisco Federal Building from the Perspective of Building Occupants | 57 | 10 | 47 | 17.5% |
| 9fd5k28h | Adaptive Comfort in Mixed-Mode Buildings: Research Support Facility, National Renewable Energy Lab | 57 | 12 | 45 | 21.1% |
| 61t8z6ff | Occupant Response to Window Control Signaling Systems; Appendix C: Mixed-mode Signal Case Study Summary | 56 | 3 | 53 | 5.4% |
| 3qt2h9xv | The prediction of indoor air motion for occupant cooling in naturally ventilated buildings | 53 | 15 | 38 | 28.3% |
| 7jg5n7s6 | Window signalling systems: control strategies and occupant behaviour | 53 | 10 | 43 | 18.9% |
| 9vx411sb | A Model of Success: The Carnegie Institute for Global Ecology | 52 | 8 | 44 | 15.4% |
| 97t4t6dg | Mixed Mode Simulation Tools | 49 | 8 | 41 | 16.3% |
| 0n18t8wz | Simulated energy savings of cool roofs applied to industrial premises in the Mediterranean Area | 42 | 9 | 33 | 21.4% |
| 9j11b4z9 | Calculation of the Solar Load onto Occupants in a Room using Bidirectional Scattering Distribution Functions and a View Factor Approach | 33 | 6 | 27 | 18.2% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.