After-hours power status of office equipment in the USA

Webber, Carrie A.; Roberson, J. Alan; McWhinney, Marla; Brown, Richard E.; Pinckard, Margaret J.; Busch, John

doi:10.1016/j.energy.2005.11.007

Cited by 111 publications

(82 citation statements)

References 6 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These energy-savings mechanisms can be accessed by the operating system via the Advanced Configuration and Power Interface, and the operating system's power management tools permit users to select trade-offs between machine characteristics and battery life (Microsoft 2009). However, most users do not take advantage of the power management features on their PCs (Webber et al 2005). Further, as the design focus is on extending battery life, not on minimizing overall energy consumption, the laptop typically operates in a high-energy mode while on AC power, thereby forgoing the energysavings opportunities offered by the laptop.…”

Section: Power Management Technologiesmentioning

confidence: 99%

Laptop energy-saving opportunities based on user behaviors

2012

View full text Add to dashboard Cite

In order to improve the energy efficiency of laptop use and design, it is important to gain knowledge of how laptops are being used in real-world settings. However, the current workload studies have focused on computer-usage patterns of business users, but not those of consumer users. As part of the u! Green project at ABC University, a pilot study was undertaken to develop and test software tools and methods for monitoring the laptop computer usage of 13 college students for a period of 1 month. This paper describes such tools and methods for monitoring and collecting laptop usage data. It also illustrates how the collected data can be analyzed to obtain high-impact energy usage patterns, which include long idle periods, excessive use of the AC power source, and high backlight levels. These identified high-impact usage patterns, if confirmed by our subsequent study, offer valuable user behavioral insights to advance more energy-efficient laptop use and design.

show abstract

Section: Power Management Technologiesmentioning

confidence: 99%

Laptop energy-saving opportunities based on user behaviors

2012

View full text Add to dashboard Cite

show abstract

“…Webber et al [16] also collected data on devices, focusing on the after-hours power state of networked devices in office buildings: they showed that most of devices are left powered on during night, concluding that this is the first cause of energy waste.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficiency in the ICT - Profiling Power Consumption in Desktop Computer Systems

Procaccianti¹,

Ardito²,

Vetrò³

et al. 2012

Energy Efficiency - The Innovative Ways for Smart Energy, the Future Towards Modern Utilities

View full text Add to dashboard Cite

“…Occupant actions can also lead to excessive and unnecessary energy consumption [28]. In the United States' commercial built environment, less than half of most buildings' appliances and systems are turned off by occupants after operational hours [29]. Due to the fact that there are more non-working hours in a week than working hours, such behaviors can lead to more energy wasted during non-working hours than energy used during working hours [30].…”

Section: Introductionmentioning

confidence: 99%

A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

2015

View full text Add to dashboard Cite

Abstract:Buildings currently account for 30-40 percent of total global energy consumption. In particular, commercial buildings are responsible for about 12 percent of global energy use and 21 percent of the United States' energy use, and the energy demand of this sector continues to grow faster than other sectors. This increasing rate therefore raises a critical concern about improving the energy performance of commercial buildings. Recently, researchers have investigated ways in which understanding and improving occupants' energy-consuming behaviors could function as a cost-effective approach to decreasing commercial buildings' energy demands. The objective of this paper is to present a detailed, up-to-date review of various algorithms, models, and techniques employed in the pursuit of understanding and improving occupants' energy-use behaviors in commercial buildings. Previous related studies are introduced and three main approaches are identified: (1) monitoring occupant-specific energy consumption; (2) Simulating occupant energy consumption behavior; and (3) improving occupant energy consumption behavior. The first approach employs intrusive and non-intrusive load-monitoring techniques to estimate the energy use of individual occupants. The second approach models diverse characteristics related to occupants' energy-consuming behaviors in order to assess and predict such characteristics' impacts on the energy performance of commercial buildings; this approach mostly utilizes agent-based modeling techniques to simulate actions and interactions between occupants and their built environment. The third approach employs occupancy-focused interventions to change OPEN ACCESSEnergies 2015, 8 10997 occupants' energy-use characteristics. Based on the detailed review of each approach, critical issues and current gaps in knowledge in the existing literature are discussed, and directions for future research opportunities in this field are provided.

show abstract

After-hours power status of office equipment in the USA

Cited by 111 publications

References 6 publications

Laptop energy-saving opportunities based on user behaviors

Laptop energy-saving opportunities based on user behaviors

Energy Efficiency in the ICT - Profiling Power Consumption in Desktop Computer Systems

A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

Contact Info

Product

Resources

About