Analyzing Energy Consumption Patterns at Mbarara University of Science and Technology: A Case Study of the Academic Calendar Influence

Vicent Rutagangibwa; Evarist Nabaasa; Johnes Obungoloch; Pius Ariho

doi:10.55524/ijirem.2023.10.6.4

Abstract

This research paper presents a concise and factual analysis of energy consumption patterns at Mbarara University of Science and Technology (MUST) based on historical data from the calendar year 2019. The study focused on the interplay between the academic calendar and energy usage, revealing variations in energy demand. Key findings emphasize the necessity for tailored energy management strategies to accommodate these fluctuations. We introduced a linear regression model for precise energy predictions, highlighting the potential for future refinement. The research offers valuable insights into data-driven energy optimization at the institution, with implications for sustainability and cost-effectiveness.

Keywords

Energy Consumption Patterns, Energy Management, Educational Institutions, Linear Regression Model, Sustainability, Data-Driven Optimization

References

Zhukovskiy, Y et al, "Development of an algorithm for regulating the load schedule of educational institutions based on the forecast of electric consumption within the framework of application of the demand response," Sustainability, vol. 13, no. 24, p. 13801, 2021.
Sen, G et al, "Achieving sustainability and carbon neutrality in higher education institutions: a review," Sustainability, vol. 14, no. 1, p. 222, 2021.
A. Prashar, "Towards sustainable development in industrial small and Medium-sized Enterprises: An energy sustainability approach," Journal of Cleaner Production, vol. 235, pp. 977-996, 2019.
Tashobya, C et al, "Employee Training and Job Satisfaction in Western Uganda: Empirical Evidence from Mbarara University of Science and Technology," European Journal of Human Resource, vol. 6, no. 1, pp. 1-15, 2022.
Leal Filho et al, "A comparative study of approaches towards energy efficiency and renewable energy use at higher education institutions," Journal of cleaner production, vol. 237, p. 117728, 2019.
S. &. J. R. Ramakrishna, "Addressing sustainability gaps," Science of The Total Environment, vol. 806, p. 151208, 2022.
Papadakis, N et al, "A Review of Energy Efficiency Interventions in Public Buildings," Energies, vol. 16, no. 17, p. 6329, 2023.
Caeiro, S et al, "Sustainability assessment and benchmarking in higher education institutions—A critical reflection," Sustainability, vol. 12, no. 2, p. 543, 2020.
Sun, Y et al, "A review of the-state-of-the-art in data-driven approaches for building energy prediction," Energy and Buildings, vol. 221, p. 110022, 2020.
T. &. d. W. P. Harputlugil, "The interaction between humans and buildings for energy efficiency: A critical review," Energy Research & Social Science, vol. 71, p. 101828, 2021.
Gan, V. J et al, "Simulation optimisation towards energy efficient green buildings: Current status and future trends," Journal of Cleaner Production, vol. 254, p. 120012, 2020.
Pearre, N et al, "Proportioning wind, solar, and in-stream tidal electricity generating capacity to co-optimize multiple grid integration metrics," Applied Energy, vol. 247, pp. 69-77, 2019.
Hu, S et al, "A systematic review of occupant behavior in building energy policy," Building and Environment, vol. 175, p. 106807, 2020.
Xue, C et al, "Clean energy consumption, economic growth, and environmental sustainability: what is the role of economic policy uncertainty?" Renewable Energy, vol. 184, pp. 899-907, 2022.

Cites this article as

V. Rutagangibwa, E. Nabaasa, J. Obungoloch, P. Ariho, "Analyzing Energy Consumption Patterns at Mbarara University of Science and Technology: A Case Study of the Academic Calendar Influence", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-10, Issue-6, Page No-31-35, 2023. Available from: https://doi.org/10.55524/ijirem.2023.10.6.4