Department of Architecture
Parent: UC Berkeley
eScholarship stats: Breakdown by Item for September through December, 2024
Item | Title | Total requests | Download | View-only | %Dnld |
---|---|---|---|---|---|
4qq2p9c6 | Developing an adaptive model of thermal comfort and preference | 1,243 | 494 | 749 | 39.7% |
3f4599hx | The skin's role in human thermoregulation and comfort | 1,238 | 944 | 294 | 76.3% |
2m34683k | A better way to predict comfort: the new ASHRAE standard 55-2004 | 411 | 139 | 272 | 33.8% |
2048t8nn | Climate, comfort, & natural ventilation: a new adaptive comfort standard for ASHRAE standard 55 | 388 | 41 | 347 | 10.6% |
2kd0135t | Analysis of the accuracy on PMV – PPD model using the ASHRAE Global Thermal Comfort Database II | 314 | 97 | 217 | 30.9% |
5kz1z9cg | Indoor Humidity and Human Health--Part I: Literature Review of Health Effects of Humidity-Influenced Indoor Pollutants | 299 | 63 | 236 | 21.1% |
2tm289vb | Thermal sensation and comfort models for non-uniform and transient environments: Part III: whole-body sensation and comfort | 287 | 104 | 183 | 36.2% |
1rr6730h | Environmental Autobiography | 259 | 52 | 207 | 20.1% |
13s1q2xc | Extending air temperature setpoints: Simulated energy savings and design considerations for new and retrofit buildings | 249 | 63 | 186 | 25.3% |
89m1h2dg | Modeling the comfort effects of short-wave solar radiation indoors | 248 | 55 | 193 | 22.2% |
7897g2f8 | Air quality and thermal comfort in office buildings: Results of a large indoor environmental quality survey | 231 | 128 | 103 | 55.4% |
4db4q37h | Web application for thermal comfort visualization and calculation according to ASHRAE Standard 55 | 206 | 56 | 150 | 27.2% |
98n759dr | Evaluation of the cooling fan efficiency index. | 203 | 107 | 96 | 52.7% |
3sq8z441 | A model of human physiology and comfort for assessing complex thermal environments | 196 | 87 | 109 | 44.4% |
09b861jb | The impact of a view from a window on thermal comfort, emotion, and cognitive performance | 188 | 121 | 67 | 64.4% |
18d174zs | Personal comfort models—A new paradigm in thermal comfort for occupant-centric environmental control | 175 | 72 | 103 | 41.1% |
60b551vb | City of One Thousand Temples | 169 | 8 | 161 | 4.7% |
0wb1v0ss | Indoor environmental quality surveys. A brief literature review. | 165 | 63 | 102 | 38.2% |
4x57v1pf | Operable windows, personal control and occupant comfort. | 157 | 37 | 120 | 23.6% |
54r6027g | Design Automation for Smart Building Systems | 144 | 67 | 77 | 46.5% |
5zt7n382 | Air movement and thermal comfort: The new ASHRAE Standard 55 provides information on appropriate indoor air velocities for occupant comfort | 139 | 12 | 127 | 8.6% |
0q03g71s | Air movement and thermal comfort | 136 | 129 | 7 | 94.9% |
54n6b7m3 | Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning | 133 | 66 | 67 | 49.6% |
1wc7t219 | Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design | 132 | 78 | 54 | 59.1% |
9hn3s947 | Convective and radiative heat transfer coefficients for individual human body segments | 127 | 107 | 20 | 84.3% |
3338m9qf | Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures | 125 | 63 | 62 | 50.4% |
4kv4f2mk | A review of the corrective power of personal comfort systems in non-neutral ambient environments | 125 | 50 | 75 | 40.0% |
28x9d7xj | Energy savings from extended air temperature setpoints and reductions in room air mixing | 124 | 58 | 66 | 46.8% |
3sw061xh | Thermal sensation and comfort models for non-uniform and transient environments: Part I: local sensation of individual body parts | 123 | 94 | 29 | 76.4% |
9s12q89q | Comfort under personally controlled air movement in warm and humid environments | 123 | 22 | 101 | 17.9% |
4p479663 | Ceiling fans: Predicting indoor air speeds based on full scale laboratory measurements | 121 | 45 | 76 | 37.2% |
0zm2z3jg | Acoustical quality in office workstations, as assessed by occupant surveys | 117 | 40 | 77 | 34.2% |
22k424vp | Evaluating thermal environments by using a thermal manikin with controlled skin surface temperature | 114 | 61 | 53 | 53.5% |
5w0349xv | Observations of upper-extremity skin temperature and corresponding overall-body thermal sensations and comfort | 111 | 23 | 88 | 20.7% |
4ph1m7t5 | Introduction of a Cooling Fan Efficiency Index | 110 | 35 | 75 | 31.8% |
6d94f90b | Moving air for comfort | 108 | 36 | 72 | 33.3% |
43c525tg | Measuring 3D indoor air velocity via an inexpensive low-power ultrasonic anemometer | 107 | 21 | 86 | 19.6% |
6px642bj | Cooling load calculations for radiant systems: are they the same traditional methods? | 106 | 4 | 102 | 3.8% |
6xh4n610 | The Northwestern Amazon malocas: Craft now and then | 106 | 13 | 93 | 12.3% |
99q2f4cf | Draft or breeze? preferences for air movement in office buildings and schools from the ASHRAE database | 106 | 4 | 102 | 3.8% |
6pq3r5pr | Evaluation of the physiological bases of thermal comfort models | 105 | 28 | 77 | 26.7% |
92z5q2qb | Progress in thermal comfort research over the last twenty years | 105 | 70 | 35 | 66.7% |
0dh6c67d | Development of the ASHRAE Global Thermal Comfort Database II | 104 | 55 | 49 | 52.9% |
5w53c7kr | Simplified calculation method for design cooling loads in underfloor air distribution (UFAD) systems | 104 | 26 | 78 | 25.0% |
9zc3j356 | The Art of Mud Building in Djenné, Mali | 104 | 68 | 36 | 65.4% |
89m0z34x | Percentage of commercial buildings showing at least 80% occupant satisfied with their thermal comfort | 101 | 28 | 73 | 27.7% |
6g46r2qh | Petropolises: A Quest for Soft Infrastructure as Water-Based Urbanisms of the Floating Frontier City | 99 | 9 | 90 | 9.1% |
9x2366mk | Localized cooling for human comfort | 99 | 20 | 79 | 20.2% |
1h99r3k0 | Debating “Democracy”: The International Union of Architects and the Cold War Politics of Expertise | 97 | 29 | 68 | 29.9% |
7bf4g0k1 | Influence of raised floor on zone design cooling load in commercial buildings. | 96 | 31 | 65 | 32.3% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.