Controls and Information Technology
Parent: Center for the Built Environment
eScholarship stats: Breakdown by Item for June through September, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 7m31g4t4 | Building operating systems services: An architecture for programmable buildings. | 624 | 107 | 517 | 17.1% |
| 9d78374c | ASHRAE Guideline 36 Open Source Supervisory Control Technology Development and Demonstration | 578 | 410 | 168 | 70.9% |
| 3zc3s7hn | Energy Performance of ASHRAE Guideline 36 Hydronic Sequences in Existing HVAC Systems Enabled by Portable, Semantic Interoperability Tools | 451 | 343 | 108 | 76.1% |
| 8rk0g6mh | California DREAMing: the design of residential demand responsive technology with people in mind | 364 | 186 | 178 | 51.1% |
| 3rd2f2bg | Balancing comfort: occupants' control of window blinds in private offices | 313 | 128 | 185 | 40.9% |
| 31g1r9bf | Commercial Building HVAC Functional Performance Test Automation Using Brick Metadata Schema | 308 | 94 | 214 | 30.5% |
| 04w0b9n2 | Skewering the silos: using Brick to enable portable analytics, modeling and controls in buildings | 231 | 71 | 160 | 30.7% |
| 8043748x | Occupant Response to Window Control Signaling Systems | 221 | 129 | 92 | 58.4% |
| 8ps51836 | A Derivation of the GAGGE 2-Node Model | 213 | 32 | 181 | 15.0% |
| 1hj8x1ct | How ambient intelligence will improve habitability and energy efficiency in buildings | 196 | 132 | 64 | 67.3% |
| 5zt2d66r | Field Demonstration of the Brick Ontology to Scale up the Deployment of ASHRAE Guideline 36 Control Sequences | 184 | 58 | 126 | 31.5% |
| 43c525tg | Measuring 3D indoor air velocity via an inexpensive low-power ultrasonic anemometer | 182 | 36 | 146 | 19.8% |
| 6nx97049 | Quantifying Office Building HVAC Marginal Operating Carbon Emissions and Load Shift Potential: A Case Study in California | 180 | 52 | 128 | 28.9% |
| 29m3h3tc | Using ductwork to improve supply plenum temperature distribution in underfloor air distribution (UFAD) system | 171 | 122 | 49 | 71.3% |
| 31s4x6jr | Performance analysis of pulsed flow control method for radiant slab system | 168 | 35 | 133 | 20.8% |
| 12k136bk | Toward Design Automation for Building Models | 156 | 39 | 117 | 25.0% |
| 0wj7r61r | Viability of dynamic cooling control in a data center environment | 154 | 51 | 103 | 33.1% |
| 4tg1p5n7 | Robo-Chargers: Optimal Operation and Planning ofa Robotic Charging System to Alleviate Overstay | 147 | 66 | 81 | 44.9% |
| 2082b3gt | INFLUENCE OF DESIGN AND OPERATING CONDITIONS ON UNDERFLOOR AIR DISTRIBUTION (UFAD) SYSTEM PERFORMANCE | 146 | 82 | 64 | 56.2% |
| 3km3d2sn | A Post-Occupancy Monitored Evaluation of the Dimmable Lighting, Automated Shading, and Underfloor Air Distribution System in The New York Times Building | 142 | 49 | 93 | 34.5% |
| 0v83w3kw | System design and dynamic signature identification for intelligent energy management in residential buildings. | 137 | 90 | 47 | 65.7% |
| 55c7r2hz | Giving occupants what they want: guidelines for implementing personal environmental control in your building | 135 | 27 | 108 | 20.0% |
| 2m26w9cr | Broken Information Feedback Loops Prevent Good Building Energy Performance—Integrated Technological and Sociological Fixes Are Needed | 132 | 21 | 111 | 15.9% |
| 1202p562 | Using Building Simulation and Optimization to Calculate Lookup Tables for Control | 131 | 79 | 52 | 60.3% |
| 9jz6f6cw | How the number and placement of sensors controlling room air distribution systems affect energy use and comfort | 127 | 20 | 107 | 15.7% |
| 0971h43j | Demand response enabling technology development | 125 | 54 | 71 | 43.2% |
| 5j20s07v | Cooling airflow design calculations for UFAD | 125 | 26 | 99 | 20.8% |
| 19p737k1 | Testing of peak demand limiting using thermal mass at a small commercial building | 117 | 24 | 93 | 20.5% |
| 66n7n302 | THERM 2.0: a building component model for steady-state two-dimensional heat transfer | 114 | 21 | 93 | 18.4% |
| 9zp4c0x1 | Demand response-enabled residential thermostat controls. | 114 | 23 | 91 | 20.2% |
| 37j43258 | How people actually use thermostats | 113 | 16 | 97 | 14.2% |
| 6vp5m5m3 | Visualizing Energy Information in Commercial Buildings: A Study of Tools, Expert Users, and Building Occupants | 113 | 30 | 83 | 26.5% |
| 34w088fp | iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings | 111 | 42 | 69 | 37.8% |
| 4n08r2q2 | Visualizing information to improve building performance: a study of expert users | 111 | 31 | 80 | 27.9% |
| 3qt1n6qv | Machine learning approaches to predict thermal demands using skin temperatures: Steady-state conditions | 108 | 33 | 75 | 30.6% |
| 07v2s2xm | Towards utilizing internet of things (IoT) devices for understanding individual occupants' energy usage of personal and shared appliances in office buildings | 106 | 41 | 65 | 38.7% |
| 1z10r0nm | Comfort control for short-term occupancy | 106 | 18 | 88 | 17.0% |
| 6cx4c9nf | Air-powered sensor | 97 | 25 | 72 | 25.8% |
| 0m58576p | A tale of two houses: the human dimension of demand response enabling technology from a case study of an adaptive wireless thermostat. | 96 | 28 | 68 | 29.2% |
| 4db8s3nr | Extracting Occupants’ Energy-Use Patterns from Wi-Fi Networks in Office Buildings | 92 | 24 | 68 | 26.1% |
| 8tj159x0 | Research scoping report: visualizing information in commercial buildings | 91 | 12 | 79 | 13.2% |
| 0m91d1t2 | Coordinate control of air movement for optimal thermal comfort | 90 | 47 | 43 | 52.2% |
| 53x6703t | Field Study of Thermal Infrared Sensing for Office Temperature Control | 89 | 36 | 53 | 40.4% |
| 43q4s9vj | Technical review of residential programmable communication thermostat implementation for Title 24 | 86 | 13 | 73 | 15.1% |
| 4h08h61d | Field Study of Thermal Infrared Sensing for Office Temperature Control | 81 | 40 | 41 | 49.4% |
| 1xm4d8f9 | Supply fan energy use in pressurized underfloor air distribution systems | 79 | 27 | 52 | 34.2% |
| 21v2j5v2 | Design of wireless sensor networks for building management | 77 | 19 | 58 | 24.7% |
| 6mf6p0z8 | Pulsed type ultrasonic anemometer based on a double FFT procedure | 77 | 21 | 56 | 27.3% |
| 0dx855jg | Open Graphic Evaluative Frameworks | 75 | 17 | 58 | 22.7% |
| 0t68701n | Assessing thermal comfort near glass facades with new tools | 74 | 25 | 49 | 33.8% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.