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Title: | STUDY OF USER BEHAVIOUR ON PERSONAL COMPUTER ENERGY CONSUMPTION IN AN OFFICE ENVIRONMENT | Authors: | JODI NEOVINO | Keywords: | Building PFM Project and Facilities Management Sekhar Kondepudi 2014/2015 PFM Office Environment PC Energy Consumption User Behaviour |
Issue Date: | 15-Jan-2015 | Citation: | JODI NEOVINO (2015-01-15). STUDY OF USER BEHAVIOUR ON PERSONAL COMPUTER ENERGY CONSUMPTION IN AN OFFICE ENVIRONMENT. ScholarBank@NUS Repository. | Abstract: | As Singapore’s buildings embrace net zero energy design in the future, the estimation of PC energy use is of paramount importance, as it is perceived as the next fastest growing energy end-uses in the office building. There are limited researches showcasing the existence of individual PC energy use, particularly on the office occupant’s behaviour and usage. Local research studies on the energy behaviour of individual in office building are unavailable as well. Hence, this study focuses on examining the behaviour of office occupants towards their PCs energy consumption in three stages. It measures and analyses the impact of before, during and after providing the intervention on the office occupants. The intervention was designed by combining the social comparison with personalized feedback technique. Quantitative and qualitative data was collated by objective measurement through the state-of-the-art metering devices and subjective measurement through the survey questionnaires. First, it was found that office occupants’ behaviour indeed played a statistically significant role in affecting the PC energy consumption. Second, the designed interventions have potential to influence the occupants towards energy savings and also resulted in energy reduction during treatment stage. Last but not least, participants retained their pro-environmental behaviour during preliminary observations post-intervention. As such, the results obtained in this study can provide advocacies to the offices IT department in engaging their office occupants to reduce PC energy consumption. Further recommendation could be utilized self-monitoring with the personalized feedback technique to minimize the level of disruption. | URI: | https://scholarbank.nus.edu.sg/handle/10635/219971 |
Appears in Collections: | Bachelor's Theses |
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