Improving Energy Efficiency by Classroom Scheduling: A Case Study in a Thai University

Article Preview

Abstract:

In an attempt to improve energy efficiency in classrooms by classroom scheduling, an algorithm was developed to solve the timetabling problem in a Thai university. The algorithm using Tabu Search, unlike all other algorithms for time tabling, aims at reducing classroom energy consumption. The algorithm took into account the number of students in each class, class time, class size, time available for both students enrolling in each class and faculty members in charge of the classes, and energy consumption in each time period of the classroom. The algorithm was used to solve the past timetabling problem of a Thai university over the academic year 2006 to 2012 and the results were compared with those of the trial-and-error traditional timetabling. It was found that the algorithm can be used to significantly lower energy consumption of the classrooms.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 931-932)

Pages:

1089-1095

Citation:

Online since:

May 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] M.W. Carter, G. Laporte and S.Y. Lee, Examination timetabling: algorithmic strategies and applications. J. Oper. Res. Soc. 47 (1996) 373–383.

Google Scholar

[2] S. Deris, S. Omatu, and H. Ohta, Timetabling planning using the constraint-based reasoning. Comput. Oper. Res. 27 (2000) 819–840.

DOI: 10.1016/s0305-0548(99)00051-9

Google Scholar

[3] A.S. Asratian and D. de Werra, A generalized class-teacher model for some timetabling problems. Eur. J Oper. Res. 143 (2002) 531-542.

DOI: 10.1016/s0377-2217(01)00342-3

Google Scholar

[4] R. Gonzalez del Campo and F. Saenz Perez, Programmed Search in a timetabling Problem over Finite Domains. Electronic Notes in Theoretical Computer Science, 177 (2007) 253-267.

DOI: 10.1016/j.entcs.2007.01.013

Google Scholar

[5] S. Daskalaki, T. Birbas and E. Housos, An integer programming formulation for a case study in university timetabling. Eur. J Oper. Res. 153 (2004) 117-135.

DOI: 10.1016/s0377-2217(03)00103-6

Google Scholar

[6] S.M. Ricardo, S.S. Sancho, D.C. Mario, and B.C. Carlos, A two-phase heuristic evolutionary algorithm for personalizing subject timetables: a case study in a Spanish university. Comput. Oper. Res. 32 (2005) 1761–1776.

DOI: 10.1016/j.cor.2003.11.030

Google Scholar

[7] C.H. Aladag, and G. Hocaoglu, A Tabu search algorithm to solve a course timetabling problem. Hacettepe Journal of Mathematics and Statistics, 36(1), (2007) 53-64.

Google Scholar