Open Access Policy Deposits
Parent: Department of Architecture
eScholarship stats: Breakdown by Item for December, 2024 through March, 2025
Item | Title | Total requests | Download | View-only | %Dnld |
---|---|---|---|---|---|
4qq2p9c6 | Developing an adaptive model of thermal comfort and preference | 1,201 | 470 | 731 | 39.1% |
3f4599hx | The skin's role in human thermoregulation and comfort | 1,170 | 904 | 266 | 77.3% |
2048t8nn | Climate, comfort, & natural ventilation: a new adaptive comfort standard for ASHRAE standard 55 | 365 | 42 | 323 | 11.5% |
2m34683k | A better way to predict comfort: the new ASHRAE standard 55-2004 | 354 | 126 | 228 | 35.6% |
7897g2f8 | Air quality and thermal comfort in office buildings: Results of a large indoor environmental quality survey | 274 | 138 | 136 | 50.4% |
5kz1z9cg | Indoor Humidity and Human Health--Part I: Literature Review of Health Effects of Humidity-Influenced Indoor Pollutants | 273 | 85 | 188 | 31.1% |
2kd0135t | Analysis of the accuracy on PMV – PPD model using the ASHRAE Global Thermal Comfort Database II | 264 | 92 | 172 | 34.8% |
2tm289vb | Thermal sensation and comfort models for non-uniform and transient environments: Part III: whole-body sensation and comfort | 251 | 82 | 169 | 32.7% |
89m1h2dg | Modeling the comfort effects of short-wave solar radiation indoors | 247 | 45 | 202 | 18.2% |
3sq8z441 | A model of human physiology and comfort for assessing complex thermal environments | 220 | 86 | 134 | 39.1% |
13s1q2xc | Extending air temperature setpoints: Simulated energy savings and design considerations for new and retrofit buildings | 216 | 62 | 154 | 28.7% |
3338m9qf | Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures | 197 | 55 | 142 | 27.9% |
98n759dr | Evaluation of the cooling fan efficiency index. | 187 | 112 | 75 | 59.9% |
4db4q37h | Web application for thermal comfort visualization and calculation according to ASHRAE Standard 55 | 183 | 58 | 125 | 31.7% |
4x57v1pf | Operable windows, personal control and occupant comfort. | 181 | 38 | 143 | 21.0% |
18d174zs | Personal comfort models—A new paradigm in thermal comfort for occupant-centric environmental control | 173 | 46 | 127 | 26.6% |
6xh4n610 | The Northwestern Amazon malocas: Craft now and then | 171 | 18 | 153 | 10.5% |
4kv4f2mk | A review of the corrective power of personal comfort systems in non-neutral ambient environments | 163 | 49 | 114 | 30.1% |
0wb1v0ss | Indoor environmental quality surveys. A brief literature review. | 157 | 70 | 87 | 44.6% |
1wc7t219 | Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design | 149 | 74 | 75 | 49.7% |
09b861jb | The impact of a view from a window on thermal comfort, emotion, and cognitive performance | 147 | 88 | 59 | 59.9% |
3sw061xh | Thermal sensation and comfort models for non-uniform and transient environments: Part I: local sensation of individual body parts | 144 | 89 | 55 | 61.8% |
28x9d7xj | Energy savings from extended air temperature setpoints and reductions in room air mixing | 138 | 48 | 90 | 34.8% |
9s12q89q | Comfort under personally controlled air movement in warm and humid environments | 136 | 29 | 107 | 21.3% |
54n6b7m3 | Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning | 134 | 49 | 85 | 36.6% |
3sx6n876 | Influence Of Three Dynamic Predictive Clothing Insulation Models On Building Energy Use, HVAC Sizing And Thermal Comfort | 133 | 3 | 130 | 2.3% |
5zt7n382 | Air movement and thermal comfort: The new ASHRAE Standard 55 provides information on appropriate indoor air velocities for occupant comfort | 132 | 7 | 125 | 5.3% |
0q03g71s | Air movement and thermal comfort | 130 | 99 | 31 | 76.2% |
5w53c7kr | Simplified calculation method for design cooling loads in underfloor air distribution (UFAD) systems | 130 | 28 | 102 | 21.5% |
6z4060zx | Katsura Imperial Villa: A Brief Descriptive Bibliography, with Illustrations | 130 | 18 | 112 | 13.8% |
22k424vp | Evaluating thermal environments by using a thermal manikin with controlled skin surface temperature | 127 | 69 | 58 | 54.3% |
89m0z34x | Percentage of commercial buildings showing at least 80% occupant satisfied with their thermal comfort | 126 | 28 | 98 | 22.2% |
9hn3s947 | Convective and radiative heat transfer coefficients for individual human body segments | 126 | 109 | 17 | 86.5% |
5w0349xv | Observations of upper-extremity skin temperature and corresponding overall-body thermal sensations and comfort | 123 | 20 | 103 | 16.3% |
4p479663 | Ceiling fans: Predicting indoor air speeds based on full scale laboratory measurements | 122 | 33 | 89 | 27.0% |
77c0q85j | Evolving opportunities for providing thermal comfort | 116 | 44 | 72 | 37.9% |
92z5q2qb | Progress in thermal comfort research over the last twenty years | 115 | 76 | 39 | 66.1% |
0zm2z3jg | Acoustical quality in office workstations, as assessed by occupant surveys | 114 | 26 | 88 | 22.8% |
6pq3r5pr | Evaluation of the physiological bases of thermal comfort models | 114 | 37 | 77 | 32.5% |
6d94f90b | Moving air for comfort | 110 | 36 | 74 | 32.7% |
54r6027g | Design Automation for Smart Building Systems | 109 | 66 | 43 | 60.6% |
7rv6936v | Predicting Window View Preferences Using the Environmental Information Criteria | 107 | 75 | 32 | 70.1% |
1pz9j3j2 | Thermal sensation and comfort models for non-uniform and transient environments: Part II: local comfort of individual body parts | 106 | 55 | 51 | 51.9% |
5ts7j0f8 | Indoor environmental quality assessment models: a literature review and a proposed weighting and classification scheme | 106 | 68 | 38 | 64.2% |
6gd9t8pj | Evaluation of the effect of landscape distance seen in window views on visual satisfaction | 106 | 67 | 39 | 63.2% |
3bb8x7b8 | Mixed-mode cooling. | 105 | 27 | 78 | 25.7% |
6rp85170 | Window performance for human thermal comfort | 104 | 23 | 81 | 22.1% |
8qk6h840 | Heat and moisture transfer through clothing | 100 | 11 | 89 | 11.0% |
2j75g92w | A novel classification scheme for design and control of radiant system based on thermal response time | 96 | 25 | 71 | 26.0% |
3kq5p62q | High-density thermal sensitivity maps of the human body | 96 | 16 | 80 | 16.7% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.