scholarly journals Eyes on the Goal! Exploring Interactive Artistic Real-Time Energy Interfaces for Target-Specific Actions in the Built Environment

2021 ◽  
Vol 13 (4) ◽  
pp. 1996
Author(s):  
Sherif Goubran ◽  
Carmela Cucuzzella ◽  
Mohamed M. Ouf
Keyword(s):  
Energy Consumption ◽  
Built Environment ◽  
Real Time ◽  
Interaction Space ◽  
Occupant Behavior ◽  
Social Feedback ◽  
Feedback Mechanisms ◽  
Long Time ◽  
Reduce Energy Consumption ◽  
Building Controls

Current research is focused on sensing and modeling occupant behavior to predict it and automate building controls. Another line of research recommends influencing the behavior of occupants through feedback mechanisms and engagement. Yet, most of the work has focused on pushing occupants to reduce energy consumption over a long time and does not explore the potential to guide users to take specific actions promptly. The study examines a new interface mechanism that aims to solicit immediate and predefined actions from occupants. Building on seminal research in the field, the study uses art visualization to reinterpret social feedback. We test this approach in an immersive interaction space where participants react to artistic visuals to attain predefined settings for three indoor devices. In the 197 interactions recorded, participants’ overall actions conformed with the predefined goals. The participants were able to reach all or some of the targets in more than 80%, within an average of less than 30 seconds. We also see that complementing the visuals with textual hints improved the interaction in terms of engagement and accuracy. We conclude that ambient, abstract, and artistic real-time goal-driven feedback is effective in influencing immediate actions. We recommend that guiding occupants didactically has a strong potential for advancing building controls.

Agent Based Modelling to Improve Comfort and Save Energy in the Built Environment

2008 ◽  
Author(s):  
Wim Zeiler ◽  
Gert Boxem ◽  
Rinus van Houten ◽  
Joep van der Velden ◽  
Willem Wortel ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Built Environment ◽  
Control Strategy ◽  
Energy Demand ◽  
Building Design ◽  
Research Centre ◽  
Control Technology ◽  
Indoor Climate ◽  
Climate Control ◽  
Reduce Energy Consumption

In Europe comfort in buildings needs 40% of the total energy. With effects of Global warming becoming more and more apparent there is a need to reduce this energy demand by comfort within the built environment. In comfort control strategy there is an exciting development based on inclusive design: the user’s preferences and their behaviour have become central in the building services control strategy. Synergy between end-user and building is the ultimate in the intelligent comfort control concept. This new comfort control technology is based on the use of agent technology and can further reduce energy consumption of buildings while at the same time improve individual comfort. The TU/e (Technische Universiteit Eindhoven) together with Kropman and ECN (Energy research Centre Netherlands) work together in the research for user based preference indoor climate control technology. Central in this approach is the user focus of the whole building design process which makes it possible to reduce energy consumption by tuning demand and supply of the energy needed to fulfill the comfort demand of the occupants building.

scholarly journals What goes on behind closed doors?

2016 ◽  
Vol 17 (4) ◽  
pp. 451-470 ◽  
Author(s):  
Nicole Sintov ◽  
Ellen Dux ◽  
Agassi Tran ◽  
Michael Orosz
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Carbon Dioxide Emissions ◽  
Group Identification ◽  
Environmental Behaviors ◽  
Content Type ◽  
Individual Level ◽  
Electricity Use ◽  
Reduce Energy Consumption ◽  
The Impact

Purpose The purpose of this paper was to evaluate the impact of a competition-based intervention combining high-resolution electricity feedback, incentives, information and prompts on college dormitory residents’ energy consumption and participation in demand response events. The authors also investigated changes in individual-level pro-environmental behaviors and examined psychosocial correlates of behavior change. Design/methodology/approach Residents of 39 suites in a freshman residence hall competed against one another to reduce energy consumption and win prizes as part of a three-week competition. Feedback was provided in near real-time at the suite-level via an interactive touch-screen kiosk. Participants also completed baseline and follow-up surveys. Findings Electricity use among all suites was approximately 6.4 per cent lower during the competition period compared to baseline, a significant reduction. Additionally, participants reported engaging in various pro-environmental behaviors significantly more frequently during the competition relative to baseline. Changes in pro-environmental behavior were associated with changes in level of group identification and perceived social norms. Practical implications In three weeks, dormitory residents saved 3,158 kWh of electricity compared to baseline – the equivalent of more than 3,470 pounds of carbon dioxide emissions. The findings provide evidence that real-time feedback, combined with incentives, information and prompts, can motivate on-campus residents to reduce energy consumption. Originality/value The authors contribute to a limited body of evidence supporting the effectiveness of dorm energy competitions in motivating college students to save energy. In addition, the authors identified individual-level behavioral and psychosocial changes made during such an intervention. University residential life planners may also use the results of this research to inform student programming.

scholarly journals Why does real-time information reduce energy consumption?

2016 ◽  
Vol 54 ◽  
pp. 173-181 ◽  
Author(s):  
John Lynham ◽  
Kohei Nitta ◽  
Tatsuyoshi Saijo ◽  
Nori Tarui
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Reduce Energy Consumption ◽  
Real Time Information ◽  
Time Information

Neural Network-Based Prediction and Control of Air Flow in a Data Center

2012 ◽  
Vol 4 (2) ◽  
Author(s):  
Flavio de Lorenzi ◽  
Christof Vömel
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Real Time ◽  
Data Center ◽  
Cooling System ◽  
Air Flow ◽  
Data Center Cooling ◽  
Prediction And Control ◽  
Reduce Energy Consumption ◽  
And Control

As modern data centers continue to grow in power, size, and numbers, there is an urgent need to reduce energy consumption by optimized cooling strategies. In this paper, we present a neural network-based prediction of air flow in a data center that is cooled through perforated floor tiles. With a significantly smaller execution time than computational fluid dynamics, it predicts in real-time server inlet temperatures and can detect whether prevalent air flow cools the servers sufficiently to guarantee safe operation. Combined with a cooling system model, we obtain a temperature and air flow control algorithm that is fast and accurate enough to find an optimal operating point of the data center cooling system in real-time. We also demonstrate the performance of our algorithm on a reference data center and show that energy consumption can be reduced by up to 30%.

Energy Management System for Domestic Electrical Appliances

2012 ◽  
Vol 3 (4) ◽  
pp. 48-60 ◽  
Author(s):  
Kuo-Ming Chao ◽  
Nazaraf Shah ◽  
Raymond Farmer ◽  
Adriana Matei
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Energy Management ◽  
Large Volume ◽  
Management Systems ◽  
Time Data ◽  
Consumption Behavior ◽  
Data Services ◽  
Energy Management Systems ◽  
Reduce Energy Consumption

A variety of energy management systems are currently available for domestic domain, and many are concerned with real-time energy consumption monitoring and display of statistical and real time data of energy consumption. Although these systems play a crucial role in providing a detailed picture of energy consumption in home environment and contribute to influencing energy consumption behavior, households are required to then take appropriate measures to reduce energy consumption. Some energy management systems provide energy saving tips but they do not take into account households’ profiles and energy consumption of home appliances. To generate an effective and real time appliance level advice on energy consumption, the system must be able to cope with a large volume of data. The proposed system addresses this issue by taking into account household profiles and energy consumption of domestic electrical appliances. The system also uses an approach based on functional data services to deal with the challenge of processing a large volume of data in real time.

scholarly journals PID optimal control to reduce energy consumption in DC-drive system

2020 ◽  
Vol 11 (4) ◽  
pp. 2164
Author(s):  
Hari Maghfiroh ◽  
Muhammad Nizam ◽  
Supriyanto Praptodiyono
Keyword(s):  
Energy Consumption ◽  
Objective Function ◽  
Control Systems ◽  
Pid Control ◽  
Pid Tuning ◽  
Lqr Control ◽  
Low Energy Consumption ◽  
Long Time ◽  
Dc Drive ◽  
Reduce Energy Consumption

<span lang="EN-US">The control system that is widely used in industry is PID (Proportional Integral Derivative). Almost 90% of industries still use PID control systems because of its simplicity, applicability, and reliability. However, the weakness of PID is that it takes a long time to tune. PID control with good performance and low energy consumption can be achieved using GA tuning with the appropriate objective function. The contribution of this paper is to propose the implementation of LQR control in the form of PID using GA tuning with LQR objective function. The proposed algorithm was implemented both in the simulation and hardware which is a mini conveyor with a DC motor. The result shows that the proposed algorithm is better in both IAE and energy consumption compared with other PID tuning, Ziegler–Nichols (ZN), and GA with IAE objective function. Compared with PID ZN, it has IAE and energy reduction by 2.76% and 16.07% respectively. Although its performance is lower than the LQR, it has other advantages that use fewer sensors. The other advantage of the proposed method is, PID is more familiar using. Therefore, it easy to be implemented in the existing system without a lot of changes.</span>

Naval Energy Management System

2020 ◽  
Vol 26 (3) ◽  
pp. 20-25
Author(s):  
Laurențiu Bogdan Asalomia ◽  
Gheorghe Samoilescu
Keyword(s):  
Energy Consumption ◽  
Power Systems ◽  
New Technologies ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Efficient Management ◽  
Reduce Energy Consumption ◽  
Energy Efficiency Design Index ◽  
Green Ship

AbstractThe paper analyses the role of control and monitoring of electro-energetic equipment in order to reduce operational costs, increase profits and reduce carbon emissions. The role of SCADA and EcoStruxure Power systems is presented and analysed taking into account the energy consumption and its savings. The paper presents practical and modern solutions to reduce energy consumption by up to 53%, mass by up to 47% and increase the life of the equipment by adjusting the electrical parameters. The Integrated Navigation System has allowed an automatic control and an efficient management. For ships, the implementation of an energy efficiency design index and new technologies was required for the GREEN SHIP project.

Sign in / Sign up

Export Citation Format

Share Document