Evaluation of Sustainable Energy Consumption Behaviors of Campus Users

  • Afraa Alsereidi

    Student thesis: Master's Thesis


    There is an increasing need to understand drivers of energy consumption in buildings as a first step to devise effective energy conservation strategies. In recent years, human drivers of consumption, particularly the energy consumptions patterns or behaviors of building occupants, have gained important momentum in engineering and social science literature. However, existing studies have important limitations related to the lack of integration of the findings from different disciplines, limited datasets, and simplistic data analysis techniques that fail to capture potential synergies between the drivers. This study proposes a comprehensive framework to investigate the energy consumption drivers of people in buildings at an urban scale (e.g., campus or community). The proposed framework is validated through a case study of the three campuses in Abu Dhabi, UAE, where data was collected from 519 students. Using a combination of descriptive statistics and machine learning algorithms, we found that personal traits, social interactions and people's perceptions and beliefs about energy conservation are key drivers of the motivation and actions taken by occupants to save energy on campus and at home. The results motivate the need to further explore how social networks and interactions between campus users can be leveraged to guide effective energy conservation campaigns.
    Date of AwardMay 2019
    Original languageAmerican English


    • Energy conservation; campus; demographics; social interactions; personality traits; machine learning.

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