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Cooling/heating load management in educational buildings through course scheduling

Fathi, A ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1016/j.jobe.2021.102405
  3. Publisher: Elsevier Ltd , 2021
  4. Abstract:
  5. This paper presents a comprehensive educational model considering share resources among several departments bounded to educational limitations for optimizing energy consumption. The thermal model calculates the load based on the ambient temperature to minimize the user's knowledge of the building's thermal model. It determines the percentage reduction of the building's heating load in case of a change in room temperature, a term's start date, and sharing classes compared to standard curricula. It employs linear Boolean optimization. Class planning is carried out concerning minimizing energy use, students' preferences, charts, educational constraints, professors' schedules, classes' numbers, and shared resources. Optimal timetabling influences on the heating load for Shiraz University's second engineering building complex are analyzed, used by Mechanical Engineering, Computer Engineering departments, and Auditorium. The effects of three scenarios and two situations on energy consumption are quantified. The results indicate the best curriculum is not affected by the scenarios. A two-week early beginning and a temperature of 23C of classes reduce energy consumption by over 50%. In deploying the optimal timetabling, the potential of diminishing the heating energy consumption is about 12% compared with conventional timetabling. Sharing resources do not always lead to a decrease in energy use, but this activity can slide it by 2.5%. These results are aligned with commercial software's outcomes. To tackle the obstacle of the computational load, reducing a matrix's dimensions is implemented. It cuts down the number of decision variables, unequal and equal constraints from 90.8%, 99.97%, and 57.81%, respectively. © 2021 Elsevier Ltd
  6. Keywords:
  7. Buildings ; Curricula ; Electric load management ; Energy conservation ; Energy utilization ; Heating ; Academic building ; Comprehensive educational timetabling ; Computational load reduction ; Energy savings ; Energy-consumption ; Energy-savings ; Heating load ; Optimization models ; Shared resources ; Timetabling ; Scheduling
  8. Source: Journal of Building Engineering ; Volume 41 , 2021 ; 23527102 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S2352710221002631