Controls and Information Technology
Parent: Center for the Built Environment
eScholarship stats: Breakdown by Item for September through December, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 43c525tg | Measuring 3D indoor air velocity via an inexpensive low-power ultrasonic anemometer | 109 | 21 | 88 | 19.3% |
| 04w0b9n2 | Skewering the silos: using Brick to enable portable analytics, modeling and controls in buildings | 57 | 30 | 27 | 52.6% |
| 37j43258 | How people actually use thermostats | 57 | 5 | 52 | 8.8% |
| 5zt2d66r | Field Demonstration of the Brick Ontology to Scale up the Deployment of ASHRAE Guideline 36 Control Sequences | 53 | 9 | 44 | 17.0% |
| 8ps51836 | A Derivation of the GAGGE 2-Node Model | 53 | 6 | 47 | 11.3% |
| 3km3d2sn | A Post-Occupancy Monitored Evaluation of the Dimmable Lighting, Automated Shading, and Underfloor Air Distribution System in The New York Times Building | 51 | 28 | 23 | 54.9% |
| 8rk0g6mh | California DREAMing: the design of residential demand responsive technology with people in mind | 46 | 5 | 41 | 10.9% |
| 34w088fp | iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings | 38 | 8 | 30 | 21.1% |
| 3rd2f2bg | Balancing comfort: occupants' control of window blinds in private offices | 37 | 12 | 25 | 32.4% |
| 12k136bk | Toward Design Automation for Building Models | 36 | 5 | 31 | 13.9% |
| 9r65g9k7 | Evaluation of various CFD modelling strategies in predicting airflow and temperature in a naturally ventilated double skin facade | 36 | 27 | 9 | 75.0% |
| 0wj7r61r | Viability of dynamic cooling control in a data center environment | 34 | 27 | 7 | 79.4% |
| 3qt1n6qv | Machine learning approaches to predict thermal demands using skin temperatures: Steady-state conditions | 34 | 16 | 18 | 47.1% |
| 5j20s07v | Cooling airflow design calculations for UFAD | 31 | 2 | 29 | 6.5% |
| 6cx4c9nf | Air-powered sensor | 30 | 7 | 23 | 23.3% |
| 8043748x | Occupant Response to Window Control Signaling Systems | 28 | 6 | 22 | 21.4% |
| 1202p562 | Using Building Simulation and Optimization to Calculate Lookup Tables for Control | 27 | 6 | 21 | 22.2% |
| 07v2s2xm | Towards utilizing internet of things (IoT) devices for understanding individual occupants' energy usage of personal and shared appliances in office buildings | 26 | 13 | 13 | 50.0% |
| 0971h43j | Demand response enabling technology development | 26 | 15 | 11 | 57.7% |
| 0v83w3kw | System design and dynamic signature identification for intelligent energy management in residential buildings. | 26 | 9 | 17 | 34.6% |
| 43q4s9vj | Technical review of residential programmable communication thermostat implementation for Title 24 | 25 | 4 | 21 | 16.0% |
| 6vp5m5m3 | Visualizing Energy Information in Commercial Buildings: A Study of Tools, Expert Users, and Building Occupants | 25 | 4 | 21 | 16.0% |
| 9zp4c0x1 | Demand response-enabled residential thermostat controls. | 25 | 0 | 25 | 0.0% |
| 1hj8x1ct | How ambient intelligence will improve habitability and energy efficiency in buildings | 24 | 5 | 19 | 20.8% |
| 9jz6f6cw | How the number and placement of sensors controlling room air distribution systems affect energy use and comfort | 23 | 6 | 17 | 26.1% |
| 2m26w9cr | Broken Information Feedback Loops Prevent Good Building Energy Performance—Integrated Technological and Sociological Fixes Are Needed | 22 | 6 | 16 | 27.3% |
| 4n08r2q2 | Visualizing information to improve building performance: a study of expert users | 22 | 5 | 17 | 22.7% |
| 8gk3j69k | Design of an energy and maintenance system user interface for building occupants | 22 | 1 | 21 | 4.5% |
| 0m91d1t2 | Coordinate control of air movement for optimal thermal comfort | 21 | 9 | 12 | 42.9% |
| 31s4x6jr | Performance analysis of pulsed flow control method for radiant slab system | 21 | 3 | 18 | 14.3% |
| 0vw9f0hq | Evaluating a Social Media Application for Sustainability in the Workplace | 20 | 12 | 8 | 60.0% |
| 5q46x5km | Development of fan diagnostics methods and protocols for short term monitoring | 20 | 1 | 19 | 5.0% |
| 1xm4d8f9 | Supply fan energy use in pressurized underfloor air distribution systems | 19 | 3 | 16 | 15.8% |
| 1z10r0nm | Comfort control for short-term occupancy | 19 | 2 | 17 | 10.5% |
| 4db8s3nr | Extracting Occupants’ Energy-Use Patterns from Wi-Fi Networks in Office Buildings | 18 | 5 | 13 | 27.8% |
| 29m3h3tc | Using ductwork to improve supply plenum temperature distribution in underfloor air distribution (UFAD) system | 17 | 5 | 12 | 29.4% |
| 21v2j5v2 | Design of wireless sensor networks for building management | 16 | 4 | 12 | 25.0% |
| 55c7r2hz | Giving occupants what they want: guidelines for implementing personal environmental control in your building | 16 | 1 | 15 | 6.3% |
| 4tg1p5n7 | Robo-Chargers: Optimal Operation and Planning ofa Robotic Charging System to Alleviate Overstay | 15 | 0 | 15 | 0.0% |
| 25z2t8tf | Opportunities to save energy and improve comfort by using wireless sensor networks in buildings | 14 | 2 | 12 | 14.3% |
| 7m31g4t4 | Building operating systems services: An architecture for programmable buildings. | 14 | 5 | 9 | 35.7% |
| 53p2f18d | Design of a maintenance and operations recommender | 13 | 2 | 11 | 15.4% |
| 8tj159x0 | Research scoping report: visualizing information in commercial buildings | 13 | 2 | 11 | 15.4% |
| 0t68701n | Assessing thermal comfort near glass facades with new tools | 12 | 6 | 6 | 50.0% |
| 66n7n302 | THERM 2.0: a building component model for steady-state two-dimensional heat transfer | 12 | 2 | 10 | 16.7% |
| 7sk09771 | Occupant comfort, control, and satisfaction in three California mixed-mode office buildings | 12 | 3 | 9 | 25.0% |
| 9xm725rq | Evaluation of various CFD modelling strategies in predicting airflow and temperature in a naturally ventilated double skin façade | 12 | 3 | 9 | 25.0% |
| 0dx855jg | Open Graphic Evaluative Frameworks | 11 | 1 | 10 | 9.1% |
| 0m58576p | A tale of two houses: the human dimension of demand response enabling technology from a case study of an adaptive wireless thermostat. | 11 | 5 | 6 | 45.5% |
| 6mf6p0z8 | Pulsed type ultrasonic anemometer based on a double FFT procedure | 10 | 3 | 7 | 30.0% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.