Controls and Information Technology
Parent: Center for the Built Environment
eScholarship stats: Breakdown by Item for March through June, 2024
Item | Title | Total requests | Download | View-only | %Dnld |
---|---|---|---|---|---|
43c525tg | Measuring 3D indoor air velocity via an inexpensive low-power ultrasonic anemometer | 130 | 33 | 97 | 25.4% |
5zt2d66r | Field Demonstration of the Brick Ontology to Scale up the Deployment of ASHRAE Guideline 36 Control Sequences | 92 | 21 | 71 | 22.8% |
8rk0g6mh | California DREAMing: the design of residential demand responsive technology with people in mind | 89 | 13 | 76 | 14.6% |
3rd2f2bg | Balancing comfort: occupants' control of window blinds in private offices | 87 | 8 | 79 | 9.2% |
37j43258 | How people actually use thermostats | 76 | 22 | 54 | 28.9% |
7m31g4t4 | Building operating systems services: An architecture for programmable buildings. | 71 | 25 | 46 | 35.2% |
04w0b9n2 | Skewering the silos: using Brick to enable portable analytics, modeling and controls in buildings | 52 | 13 | 39 | 25.0% |
07v2s2xm | Towards utilizing internet of things (IoT) devices for understanding individual occupants' energy usage of personal and shared appliances in office buildings | 51 | 25 | 26 | 49.0% |
12k136bk | Toward Design Automation for Building Models | 50 | 9 | 41 | 18.0% |
0971h43j | Demand response enabling technology development | 46 | 21 | 25 | 45.7% |
3km3d2sn | A Post-Occupancy Monitored Evaluation of the Dimmable Lighting, Automated Shading, and Underfloor Air Distribution System in The New York Times Building | 45 | 37 | 8 | 82.2% |
5j20s07v | Cooling airflow design calculations for UFAD | 45 | 4 | 41 | 8.9% |
0wj7r61r | Viability of dynamic cooling control in a data center environment | 44 | 31 | 13 | 70.5% |
9r65g9k7 | Evaluation of various CFD modelling strategies in predicting airflow and temperature in a naturally ventilated double skin facade | 40 | 32 | 8 | 80.0% |
21v2j5v2 | Design of wireless sensor networks for building management | 38 | 4 | 34 | 10.5% |
4n08r2q2 | Visualizing information to improve building performance: a study of expert users | 31 | 6 | 25 | 19.4% |
34w088fp | iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings | 30 | 5 | 25 | 16.7% |
0t68701n | Assessing thermal comfort near glass facades with new tools | 29 | 17 | 12 | 58.6% |
9zp4c0x1 | Demand response-enabled residential thermostat controls. | 29 | 4 | 25 | 13.8% |
31s4x6jr | Performance analysis of pulsed flow control method for radiant slab system | 27 | 6 | 21 | 22.2% |
0v83w3kw | System design and dynamic signature identification for intelligent energy management in residential buildings. | 25 | 8 | 17 | 32.0% |
3qt1n6qv | Machine learning approaches to predict thermal demands using skin temperatures: Steady-state conditions | 25 | 13 | 12 | 52.0% |
1z10r0nm | Comfort control for short-term occupancy | 24 | 2 | 22 | 8.3% |
8ps51836 | A Derivation of the GAGGE 2-Node Model | 24 | 4 | 20 | 16.7% |
1202p562 | Using Building Simulation and Optimization to Calculate Lookup Tables for Control | 23 | 7 | 16 | 30.4% |
8043748x | Occupant Response to Window Control Signaling Systems | 23 | 6 | 17 | 26.1% |
0vw9f0hq | Evaluating a Social Media Application for Sustainability in the Workplace | 22 | 13 | 9 | 59.1% |
66n7n302 | THERM 2.0: a building component model for steady-state two-dimensional heat transfer | 22 | 4 | 18 | 18.2% |
2m26w9cr | Broken Information Feedback Loops Prevent Good Building Energy Performance—Integrated Technological and Sociological Fixes Are Needed | 21 | 5 | 16 | 23.8% |
4db8s3nr | Extracting Occupants’ Energy-Use Patterns from Wi-Fi Networks in Office Buildings | 20 | 11 | 9 | 55.0% |
25z2t8tf | Opportunities to save energy and improve comfort by using wireless sensor networks in buildings | 19 | 2 | 17 | 10.5% |
9jz6f6cw | How the number and placement of sensors controlling room air distribution systems affect energy use and comfort | 19 | 8 | 11 | 42.1% |
0m91d1t2 | Coordinate control of air movement for optimal thermal comfort | 17 | 2 | 15 | 11.8% |
7xh8n3qw | Demand response-enabled autonomous control for interior space conditioning in residential buildings. | 17 | 7 | 10 | 41.2% |
0dx855jg | Open Graphic Evaluative Frameworks | 16 | 1 | 15 | 6.3% |
6vp5m5m3 | Visualizing Energy Information in Commercial Buildings: A Study of Tools, Expert Users, and Building Occupants | 16 | 4 | 12 | 25.0% |
1sk3p5tb | INFLUENCE OF SUPPLY AIR TEMPERATURE ON UNDERFLOOR AIR DISTRIBUTION (UFAD) SYSTEM ENERGY PERFORMANCE | 15 | 7 | 8 | 46.7% |
1xm4d8f9 | Supply fan energy use in pressurized underfloor air distribution systems | 15 | 4 | 11 | 26.7% |
4tg1p5n7 | Robo-Chargers: Optimal Operation and Planning ofa Robotic Charging System to Alleviate Overstay | 15 | 3 | 12 | 20.0% |
6mf6p0z8 | Pulsed type ultrasonic anemometer based on a double FFT procedure | 15 | 2 | 13 | 13.3% |
1hj8x1ct | How ambient intelligence will improve habitability and energy efficiency in buildings | 14 | 5 | 9 | 35.7% |
55c7r2hz | Giving occupants what they want: guidelines for implementing personal environmental control in your building | 14 | 3 | 11 | 21.4% |
29m3h3tc | Using ductwork to improve supply plenum temperature distribution in underfloor air distribution (UFAD) system | 13 | 4 | 9 | 30.8% |
5tw6f01n | Demand response enabling technology development | 13 | 0 | 13 | 0.0% |
6cx4c9nf | Air-powered sensor | 13 | 4 | 9 | 30.8% |
7sk09771 | Occupant comfort, control, and satisfaction in three California mixed-mode office buildings | 12 | 3 | 9 | 25.0% |
4874x0mw | Evaluating a Social Media Application for Conserving Energy and Improving Operations in Commercial Buildings | 11 | 3 | 8 | 27.3% |
0m58576p | A tale of two houses: the human dimension of demand response enabling technology from a case study of an adaptive wireless thermostat. | 10 | 1 | 9 | 10.0% |
19p737k1 | Testing of peak demand limiting using thermal mass at a small commercial building | 10 | 0 | 10 | 0.0% |
8tj159x0 | Research scoping report: visualizing information in commercial buildings | 10 | 1 | 9 | 10.0% |
Disclaimer: due to the evolving nature of the web traffic we receive and the methods we use to collate it, the data presented here should be considered approximate and subject to revision.