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Construction and demolition waste account for a significant part of the solid waste taking up landfills on a global scale. A considerable portion of the waste generated by the construction industry has substantial residual value, and therefore waste management and sustainability principles and techniques should be applied. Buildings consume a lot of energy during the operations phase, but decisions made during design and construction impact building operations. This study reviews sustainable building practices to explore strategies that ensure minimal effects on economy, society, and the environment through efficient resource and waste management at different phases of a building life cycle. These practices include pollution reduction, reuse and recycling, energy consumption, embodied carbon, and water resource management.
Rosaria E.C. Amaral; Joel Brito; Matt Buckman; Elicia Drake; Esther Ilatova; Paige Rice; Carlos Sabbagh; Sergei Voronkin; Yewande S. Abraham. Waste Management and Operational Energy for Sustainable Buildings: A Review. Sustainability 2020, 12, 5337 .
AMA StyleRosaria E.C. Amaral, Joel Brito, Matt Buckman, Elicia Drake, Esther Ilatova, Paige Rice, Carlos Sabbagh, Sergei Voronkin, Yewande S. Abraham. Waste Management and Operational Energy for Sustainable Buildings: A Review. Sustainability. 2020; 12 (13):5337.
Chicago/Turabian StyleRosaria E.C. Amaral; Joel Brito; Matt Buckman; Elicia Drake; Esther Ilatova; Paige Rice; Carlos Sabbagh; Sergei Voronkin; Yewande S. Abraham. 2020. "Waste Management and Operational Energy for Sustainable Buildings: A Review." Sustainability 12, no. 13: 5337.
To counteract the high energy consumption in buildings, different interventions are used such as improving the envelope, using building systems that are more efficient, and reducing energy demand but not enough is done to address the end users, their activities, and energy use behavior. Productivity is important in office buildings and it can be linked to occupant wellbeing. Also vital is understanding the impact of occupant behavior on energy consumption as people take action to improve their comfort indoors. Human behavior is dynamic and challenging to accurately predict. Energy simulation tools are used in the design and sizing of building systems but they do not adequately capture the occupant-related factors (values, preferences, and behavior). Agent-based modeling (ABM) approaches have been used to represent human behavior in different contexts, they have also been used to model building occupants. This paper examines selected literature on ABM for occupant behavior modeling and it also discusses the practicality of ABM to study occupant-related factors in office buildings. Through this study, recommendations for potential applications of ABM for occupant modeling in buildings are presented. The need for actual data to better represent occupant-related factors was also observed.
Yewande Abraham; Chimay J. Anumba; Somayeh Asadi. Exploring Agent-Based Modeling Approaches for Human-Centered Energy Consumption Prediction. Construction Research Congress 2018 2018, 1 .
AMA StyleYewande Abraham, Chimay J. Anumba, Somayeh Asadi. Exploring Agent-Based Modeling Approaches for Human-Centered Energy Consumption Prediction. Construction Research Congress 2018. 2018; ():1.
Chicago/Turabian StyleYewande Abraham; Chimay J. Anumba; Somayeh Asadi. 2018. "Exploring Agent-Based Modeling Approaches for Human-Centered Energy Consumption Prediction." Construction Research Congress 2018 , no. : 1.
Yewande Abraham; Zhidan Zhao; Chimay Anumba; Somayeh Asadi. Implementation of a Preference Monitoring Application for office Building Occupants. Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction 2017, 1 .
AMA StyleYewande Abraham, Zhidan Zhao, Chimay Anumba, Somayeh Asadi. Implementation of a Preference Monitoring Application for office Building Occupants. Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction. 2017; ():1.
Chicago/Turabian StyleYewande Abraham; Zhidan Zhao; Chimay Anumba; Somayeh Asadi. 2017. "Implementation of a Preference Monitoring Application for office Building Occupants." Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction , no. : 1.
Building occupant behavior impacts energy consumption but this is often not adequately captured when monitoring energy use. It is important to provide indoor environmental conditions that are well suited to occupant needs and promote their well-being while minimizing energy wastage. Machine learning methods have been employed to predict energy consumption but in the absence of adequate occupant-related monitoring data, it is challenging to establish the right inputs and obtain predictions that reflect occupant characteristics (behavior and preferences). This paper presents the approaches employed to capture occupant behavior-related energy data using a combination of sensors, metering devices, and surveys to continuously track space conditions, occupant behavior, and energy consumption over a period of time. Two case study buildings are selected for this study, some of the challenges with energy monitoring are identified, and the need for interoperability among different sensors is discussed.
Yewande Abraham; Chimay J. Anumba; Somayeh Asadi. Data Sensing Approaches to Monitoring Building Energy Use and Occupant Behavior. Computing in Civil Engineering 2017 2017, 1 .
AMA StyleYewande Abraham, Chimay J. Anumba, Somayeh Asadi. Data Sensing Approaches to Monitoring Building Energy Use and Occupant Behavior. Computing in Civil Engineering 2017. 2017; ():1.
Chicago/Turabian StyleYewande Abraham; Chimay J. Anumba; Somayeh Asadi. 2017. "Data Sensing Approaches to Monitoring Building Energy Use and Occupant Behavior." Computing in Civil Engineering 2017 , no. : 1.