Controls and Information Technology
Parent: Center for the Built Environment
eScholarship stats: History by Item for February through May, 2025
Item | Title | Total requests | 2025-05 | 2025-04 | 2025-03 | 2025-02 |
---|---|---|---|---|---|---|
6nx97049 | Quantifying Office Building HVAC Marginal Operating Carbon Emissions and Load Shift Potential: A Case Study in California | 186 | 30 | 26 | 60 | 70 |
5zt2d66r | Field Demonstration of the Brick Ontology to Scale up the Deployment of ASHRAE Guideline 36 Control Sequences | 111 | 33 | 27 | 30 | 21 |
43c525tg | Measuring 3D indoor air velocity via an inexpensive low-power ultrasonic anemometer | 104 | 38 | 26 | 27 | 13 |
3rd2f2bg | Balancing comfort: occupants' control of window blinds in private offices | 93 | 27 | 25 | 24 | 17 |
8ps51836 | A Derivation of the GAGGE 2-Node Model | 90 | 27 | 13 | 23 | 27 |
0wj7r61r | Viability of dynamic cooling control in a data center environment | 81 | 25 | 15 | 19 | 22 |
12k136bk | Toward Design Automation for Building Models | 72 | 20 | 13 | 25 | 14 |
37j43258 | How people actually use thermostats | 71 | 16 | 17 | 14 | 24 |
04w0b9n2 | Skewering the silos: using Brick to enable portable analytics, modeling and controls in buildings | 70 | 19 | 18 | 19 | 14 |
6vp5m5m3 | Visualizing Energy Information in Commercial Buildings: A Study of Tools, Expert Users, and Building Occupants | 56 | 23 | 6 | 8 | 19 |
07v2s2xm | Towards utilizing internet of things (IoT) devices for understanding individual occupants' energy usage of personal and shared appliances in office buildings | 55 | 19 | 10 | 14 | 12 |
0971h43j | Demand response enabling technology development | 54 | 19 | 13 | 10 | 12 |
8rk0g6mh | California DREAMing: the design of residential demand responsive technology with people in mind | 54 | 19 | 11 | 9 | 15 |
34w088fp | iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings | 52 | 13 | 15 | 12 | 12 |
53x6703t | Field Study of Thermal Infrared Sensing for Office Temperature Control | 50 | 17 | 13 | 9 | 11 |
4h08h61d | Field Study of Thermal Infrared Sensing for Office Temperature Control | 48 | 17 | 7 | 17 | 7 |
1hj8x1ct | How ambient intelligence will improve habitability and energy efficiency in buildings | 47 | 11 | 10 | 16 | 10 |
31s4x6jr | Performance analysis of pulsed flow control method for radiant slab system | 47 | 18 | 10 | 7 | 12 |
7m31g4t4 | Building operating systems services: An architecture for programmable buildings. | 46 | 18 | 12 | 8 | 8 |
9jz6f6cw | How the number and placement of sensors controlling room air distribution systems affect energy use and comfort | 46 | 16 | 10 | 8 | 12 |
9zp4c0x1 | Demand response-enabled residential thermostat controls. | 46 | 17 | 11 | 8 | 10 |
3qt1n6qv | Machine learning approaches to predict thermal demands using skin temperatures: Steady-state conditions | 43 | 15 | 10 | 10 | 8 |
4n08r2q2 | Visualizing information to improve building performance: a study of expert users | 43 | 13 | 12 | 5 | 13 |
1sk3p5tb | INFLUENCE OF SUPPLY AIR TEMPERATURE ON UNDERFLOOR AIR DISTRIBUTION (UFAD) SYSTEM ENERGY PERFORMANCE | 42 | 9 | 10 | 12 | 11 |
0v83w3kw | System design and dynamic signature identification for intelligent energy management in residential buildings. | 41 | 17 | 9 | 8 | 7 |
8043748x | Occupant Response to Window Control Signaling Systems | 40 | 13 | 11 | 3 | 13 |
0t68701n | Assessing thermal comfort near glass facades with new tools | 37 | 15 | 4 | 7 | 11 |
1202p562 | Using Building Simulation and Optimization to Calculate Lookup Tables for Control | 37 | 12 | 6 | 12 | 7 |
1xm4d8f9 | Supply fan energy use in pressurized underfloor air distribution systems | 37 | 17 | 8 | 7 | 5 |
2m26w9cr | Broken Information Feedback Loops Prevent Good Building Energy Performance—Integrated Technological and Sociological Fixes Are Needed | 37 | 13 | 4 | 6 | 14 |
6cx4c9nf | Air-powered sensor | 37 | 18 | 8 | 2 | 9 |
3km3d2sn | A Post-Occupancy Monitored Evaluation of the Dimmable Lighting, Automated Shading, and Underfloor Air Distribution System in The New York Times Building | 35 | 6 | 10 | 13 | 6 |
4tg1p5n7 | Robo-Chargers: Optimal Operation and Planning ofa Robotic Charging System to Alleviate Overstay | 35 | 10 | 11 | 6 | 8 |
5j20s07v | Cooling airflow design calculations for UFAD | 35 | 11 | 11 | 8 | 5 |
5q46x5km | Development of fan diagnostics methods and protocols for short term monitoring | 33 | 16 | 6 | 6 | 5 |
66n7n302 | THERM 2.0: a building component model for steady-state two-dimensional heat transfer | 33 | 17 | 5 | 3 | 8 |
9r65g9k7 | Evaluation of various CFD modelling strategies in predicting airflow and temperature in a naturally ventilated double skin facade | 33 | 10 | 4 | 9 | 10 |
0m58576p | A tale of two houses: the human dimension of demand response enabling technology from a case study of an adaptive wireless thermostat. | 31 | 13 | 2 | 8 | 8 |
0vw9f0hq | Evaluating a Social Media Application for Sustainability in the Workplace | 31 | 7 | 7 | 9 | 8 |
43q4s9vj | Technical review of residential programmable communication thermostat implementation for Title 24 | 31 | 9 | 11 | 6 | 5 |
4db8s3nr | Extracting Occupants’ Energy-Use Patterns from Wi-Fi Networks in Office Buildings | 31 | 18 | 4 | 3 | 6 |
5tw6f01n | Demand response enabling technology development | 30 | 10 | 6 | 5 | 9 |
0dx855jg | Open Graphic Evaluative Frameworks | 27 | 9 | 5 | 6 | 7 |
1z10r0nm | Comfort control for short-term occupancy | 27 | 8 | 6 | 7 | 6 |
4874x0mw | Evaluating a Social Media Application for Conserving Energy and Improving Operations in Commercial Buildings | 27 | 12 | 1 | 5 | 9 |
9xm725rq | Evaluation of various CFD modelling strategies in predicting airflow and temperature in a naturally ventilated double skin façade | 27 | 11 | 5 | 5 | 6 |
19p737k1 | Testing of peak demand limiting using thermal mass at a small commercial building | 26 | 13 | 6 | 4 | 3 |
21v2j5v2 | Design of wireless sensor networks for building management | 24 | 9 | 3 | 7 | 5 |
29m3h3tc | Using ductwork to improve supply plenum temperature distribution in underfloor air distribution (UFAD) system | 23 | 9 | 5 | 5 | 4 |
7xh8n3qw | Demand response-enabled autonomous control for interior space conditioning in residential buildings. | 23 | 8 | 7 | 3 | 5 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.