Energy Planning and Optimization Model for Campus Buildings: A Case Study of Erciyes University
Abstract
This study addresses energy consumption and climate change challenges in university campus buildings, focusing on Erciyes University. The research develops a multi-objective optimization model using GAMS software and NEOS Server to enhance campus energy efficiency. The model evaluates various energy-saving measures and their investment costs. Findings indicate that building envelope insulation can reduce heating energy consumption by 35%, while efficient hot water systems and energy-saving technologies can achieve savings up to 75.5%. Model calculations using SCIP and LINDO solvers demonstrate high accuracy, with results differing by only 0.2%. This research provides valuable guidance for university decision-makers in implementing targeted interventions for significant primary energy savings.
Keywords
Campus building, energy efficiency, multi-objective optimization
Thanks
The article complies with national and international research and publication ethics. Ethics Committee approval was not required for the study. This study is a part of a doctoral thesis titled 'Energy Planning and Optimization Model for Campus Buildings and Transportation: A Case Study of Erciyes University' by Atabek Movlanov, a PhD student in the Department of Energy Systems Engineering at Erciyes University.
References
- Abdou, N., El Mghouchi, Y., Hamdaoui, S., El Asri, N. & Mouqallid, M. (2021). Multi-objective optimization of passive energy efficiency measures for net-zero energy building in Morocco. Building and Environment, 204, 108-141. https://doi.org/10.1016/j.buildenv.2021.108141
- Ascione, F., Bianco, N., De Masi, R. F., Mauro, G. M. & Vanoli, G. P. (2017). Energy retrofit of educational buildings: Transient energy simulations, model calibration and multi-objective optimization towards nearly zero-energy performance. Energy and Buildings, 144, 303-319. https://doi.org/10.1016/j.enbuild.2017.03.056
- Bayata, Ö. & Temiz, I. (2017). Developing a model and software for energy efficiency optimization in the building design process: A case study in Turkey. Turkish Journal of Electrical Engineering & Computer Sciences, 25, 4172-4186. https://doi.org/10.3906/elk-1612-13
- Bellia, L., Borrelli, M., Ruggiero, S. & Vanoli, G. (2018). University building: energy diagnosis and refurbishment design with Cost-Optimal approach. Discussion about the effect of numerical modelling assumptions. Journal of Building Engineering, 18. https://doi.org/10.1016/j.jobe.2018.02.017
- Benaddi, F. Z., Boukhattem, L., Ait Nouh, F., Cesar Tabares-Velasco, P. & Benhamou, B. (2023). Energy-saving potential assessment of a classroom building envelope through sensitivity analysis and multi- objective optimization under different climate types. Building Services Engineering Research and Technology, 44(3), 309-332. https://doi.org/10.1177/01436244231161944
- Czyzyk, J., Mesnier, M. P. & More, J. J. (1998). The NEOS Server. IEEE Computational Science and Engineering, 5(3), 68-75. https://doi.org/10.1109/99.714603
- Diakaki, C. & Grigoroudis, E. (2021). Improving energy efficiency in buildings using an interactive mathematical programming approach. Sustainability, 13(8).
- Diakaki, C., Grigoroudis, E., Kabelis, N., Kolokotsa, D., Kalaitzakis, K. & Stavrakakis, G. (2010). A multi-objective decision model for the improvement of energy efficiency in buildings. Energy, 35(12), 5483- 5496. https://doi.org/10.1016/j.energy.2010.05.012
- Google Earth. (2024). R&D Park Building of Erciyes University, Kayseri. Access Address (10.10.2024): https://earth.google.com/
- Guerrieri, M., La Gennusa, M., Peri, G., Rizzo, G. & Scaccianoce, G. (2019). University campuses as small-scale models of cities: Quantitative assessment of a low carbon transition path. Renewable and Sustainable Energy Reviews, 113, 109263. https://doi.org/10.1016/j.rser.2019.109263