Controls and Information Technology
Parent: Center for the Built Environment
eScholarship stats: History by Item for January through April, 2025
| Item | Title | Total requests | 2025-04 | 2025-03 | 2025-02 | 2025-01 |
|---|---|---|---|---|---|---|
| 6nx97049 | Quantifying Office Building HVAC Marginal Operating Carbon Emissions and Load Shift Potential: A Case Study in California | 234 | 26 | 60 | 70 | 78 |
| 5zt2d66r | Field Demonstration of the Brick Ontology to Scale up the Deployment of ASHRAE Guideline 36 Control Sequences | 109 | 27 | 30 | 21 | 31 |
| 43c525tg | Measuring 3D indoor air velocity via an inexpensive low-power ultrasonic anemometer | 89 | 26 | 27 | 13 | 23 |
| 3rd2f2bg | Balancing comfort: occupants' control of window blinds in private offices | 82 | 25 | 24 | 17 | 16 |
| 8ps51836 | A Derivation of the GAGGE 2-Node Model | 80 | 13 | 23 | 27 | 17 |
| 37j43258 | How people actually use thermostats | 78 | 17 | 14 | 24 | 23 |
| 04w0b9n2 | Skewering the silos: using Brick to enable portable analytics, modeling and controls in buildings | 70 | 18 | 19 | 14 | 19 |
| 0wj7r61r | Viability of dynamic cooling control in a data center environment | 66 | 15 | 19 | 22 | 10 |
| 12k136bk | Toward Design Automation for Building Models | 63 | 13 | 25 | 14 | 11 |
| 34w088fp | iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings | 59 | 15 | 12 | 12 | 20 |
| 6vp5m5m3 | Visualizing Energy Information in Commercial Buildings: A Study of Tools, Expert Users, and Building Occupants | 48 | 6 | 8 | 19 | 15 |
| 07v2s2xm | Towards utilizing internet of things (IoT) devices for understanding individual occupants' energy usage of personal and shared appliances in office buildings | 47 | 10 | 14 | 12 | 11 |
| 8rk0g6mh | California DREAMing: the design of residential demand responsive technology with people in mind | 47 | 11 | 9 | 15 | 12 |
| 0971h43j | Demand response enabling technology development | 46 | 13 | 10 | 12 | 11 |
| 3km3d2sn | A Post-Occupancy Monitored Evaluation of the Dimmable Lighting, Automated Shading, and Underfloor Air Distribution System in The New York Times Building | 46 | 10 | 13 | 6 | 17 |
| 1hj8x1ct | How ambient intelligence will improve habitability and energy efficiency in buildings | 44 | 10 | 16 | 10 | 8 |
| 1sk3p5tb | INFLUENCE OF SUPPLY AIR TEMPERATURE ON UNDERFLOOR AIR DISTRIBUTION (UFAD) SYSTEM ENERGY PERFORMANCE | 44 | 10 | 12 | 11 | 11 |
| 4n08r2q2 | Visualizing information to improve building performance: a study of expert users | 44 | 12 | 5 | 13 | 14 |
| 4tg1p5n7 | Robo-Chargers: Optimal Operation and Planning ofa Robotic Charging System to Alleviate Overstay | 44 | 11 | 6 | 8 | 19 |
| 53x6703t | Field Study of Thermal Infrared Sensing for Office Temperature Control | 42 | 13 | 9 | 11 | 9 |
| 4h08h61d | Field Study of Thermal Infrared Sensing for Office Temperature Control | 41 | 7 | 17 | 7 | 10 |
| 31s4x6jr | Performance analysis of pulsed flow control method for radiant slab system | 39 | 10 | 7 | 12 | 10 |
| 9zp4c0x1 | Demand response-enabled residential thermostat controls. | 39 | 11 | 8 | 10 | 10 |
| 8043748x | Occupant Response to Window Control Signaling Systems | 38 | 11 | 3 | 13 | 11 |
| 1202p562 | Using Building Simulation and Optimization to Calculate Lookup Tables for Control | 36 | 6 | 12 | 7 | 11 |
| 3qt1n6qv | Machine learning approaches to predict thermal demands using skin temperatures: Steady-state conditions | 36 | 10 | 10 | 8 | 8 |
| 9jz6f6cw | How the number and placement of sensors controlling room air distribution systems affect energy use and comfort | 35 | 10 | 8 | 12 | 5 |
| 0v83w3kw | System design and dynamic signature identification for intelligent energy management in residential buildings. | 34 | 9 | 8 | 7 | 10 |
| 0vw9f0hq | Evaluating a Social Media Application for Sustainability in the Workplace | 34 | 7 | 9 | 8 | 10 |
| 5j20s07v | Cooling airflow design calculations for UFAD | 34 | 11 | 8 | 5 | 10 |
| 7m31g4t4 | Building operating systems services: An architecture for programmable buildings. | 34 | 12 | 8 | 8 | 6 |
| 2m26w9cr | Broken Information Feedback Loops Prevent Good Building Energy Performance—Integrated Technological and Sociological Fixes Are Needed | 33 | 4 | 6 | 14 | 9 |
| 43q4s9vj | Technical review of residential programmable communication thermostat implementation for Title 24 | 32 | 11 | 6 | 5 | 10 |
| 9r65g9k7 | Evaluation of various CFD modelling strategies in predicting airflow and temperature in a naturally ventilated double skin facade | 31 | 4 | 9 | 10 | 8 |
| 66n7n302 | THERM 2.0: a building component model for steady-state two-dimensional heat transfer | 28 | 5 | 3 | 8 | 12 |
| 6cx4c9nf | Air-powered sensor | 27 | 8 | 2 | 9 | 8 |
| 8tj159x0 | Research scoping report: visualizing information in commercial buildings | 27 | 5 | 3 | 9 | 10 |
| 0t68701n | Assessing thermal comfort near glass facades with new tools | 26 | 4 | 7 | 11 | 4 |
| 1xm4d8f9 | Supply fan energy use in pressurized underfloor air distribution systems | 26 | 8 | 7 | 5 | 6 |
| 5tw6f01n | Demand response enabling technology development | 26 | 6 | 5 | 9 | 6 |
| 5q46x5km | Development of fan diagnostics methods and protocols for short term monitoring | 25 | 6 | 6 | 5 | 8 |
| 0m58576p | A tale of two houses: the human dimension of demand response enabling technology from a case study of an adaptive wireless thermostat. | 23 | 2 | 8 | 8 | 5 |
| 0dx855jg | Open Graphic Evaluative Frameworks | 21 | 5 | 6 | 7 | 3 |
| 1z10r0nm | Comfort control for short-term occupancy | 20 | 6 | 7 | 6 | 1 |
| 4874x0mw | Evaluating a Social Media Application for Conserving Energy and Improving Operations in Commercial Buildings | 20 | 1 | 5 | 9 | 5 |
| 0m91d1t2 | Coordinate control of air movement for optimal thermal comfort | 19 | 3 | 6 | 4 | 6 |
| 2082b3gt | INFLUENCE OF DESIGN AND OPERATING CONDITIONS ON UNDERFLOOR AIR DISTRIBUTION (UFAD) SYSTEM PERFORMANCE | 19 | 4 | 3 | 3 | 9 |
| 29m3h3tc | Using ductwork to improve supply plenum temperature distribution in underfloor air distribution (UFAD) system | 19 | 5 | 5 | 4 | 5 |
| 19p737k1 | Testing of peak demand limiting using thermal mass at a small commercial building | 18 | 6 | 4 | 3 | 5 |
| 7xh8n3qw | Demand response-enabled autonomous control for interior space conditioning in residential buildings. | 18 | 7 | 3 | 5 | 3 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.