Abstract
This paper aims at investigating the effect of building architectural and envelope parameters such as building orientation, window size, infiltration rate, glazing, and construction material on a case study of building’s energy performance in a hot and semi-arid climate. To this end, a multi-objective optimization was conducted using a genetic algorithm (NSGA-II) coupled with the dynamic simulation tool TRNSYS to find the best solution that offers significant energy savings and thermal comfort at a minimum cost. The research specifically targets a residential building located in the green city of Benguerir in Morocco. The results show that by implementing the optimized solution, both heating and cooling demands can be reduced by up to 2 kWh/m2 yr and 10.2 kWh/m2 yr, respectively. The insights gained from this study provide valuable guidance for implementing strategies that prioritize energy savings and contribute to a more sustainable built environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
AMEE: Règlement thermique de construction au maroc (RTCM). https://www.amee.ma/sites/default/files/inline-files/Reglement_thermique_de_construction_au_Maroc.pdf (2014)
Pohoryles, D.A., Bournas, D.A., Da Porto, F., Caprino, A., Santarsiero, G., Triantafillou, T.: Integrated seismic and energy retrofitting of existing buildings: a state-of-the-art review. J. Build. Eng. 61, 105274 (2022). https://doi.org/10.1016/j.jobe.2022.105274
Costa-Carrapiço, I., Raslan, R., González, J.N.: A systematic review of genetic algorithm-based multi-objective optimisation for building retrofitting strategies towards energy efficiency. Energy Build. 210, 109690 (2020). https://doi.org/10.1016/J.ENBUILD.2019.109690
Panagiotidou, M., Aye, L.: Comparison of Multi-objective Optimisation Tools for Building Performance Simulation with TRNSYS 18
Delgarm, N., Sajadi, B., Kowsary, F., Delgarm, S.: Multi-objective optimization of the building energy performance: a simulation-based approach by means of particle swarm optimization (PSO). Appl. Energy 170, 293–303 (2016). https://doi.org/10.1016/J.APENERGY.2016.02.141
Pareto, V.: Cours d’économie politique: professé à l’Universi̧té de Lausanne (1896)
Mostafazadeh, F., Eirdmousa, S.J., Tavakolan, M.: Energy, economic and comfort optimization of building retrofits considering climate change: a simulation-based NSGA-III approach. Energy Build. 280, 112721 (2023). https://doi.org/10.1016/J.ENBUILD.2022.112721
Gao, B., Zhu, X., Ren, J., Ran, J., Kim, M.K., Liu, J.: Multi-objective optimization of energy-saving measures and operation parameters for a newly retrofitted building in future climate conditions: a case study of an office building in Chengdu. Energy Rep. 9, 2269–2285 (2023). https://doi.org/10.1016/J.EGYR.2023.01.049
Naderi, E., Sajadi, B., Behabadi, M.A., Naderi, E.: Multi-objective simulation-based optimization of controlled blind specifications to reduce energy consumption, and thermal and visual discomfort: case studies in Iran. Build. Environ. 169, 106570 (2020). https://doi.org/10.1016/J.BUILDENV.2019.106570
Benaddi, F.Z., Boukhattem, L., Ait Nouh, F., Cesar Tabares-Velasco, P., Benhamou, B.: Energy-saving potential assessment of a classroom building envelope through sensitivity analysis and multi-objective optimization under different climate types. Build. Services Eng. Res. Technol. 44(3), 309–332 (2023). https://doi.org/10.1177/01436244231161944
Attia, S., Hamdy, M., O’Brien, W., Carlucci, S.: Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design. Energy Build. 60, 110–124 (2013). https://doi.org/10.1016/J.ENBUILD.2013.01.016
Nguyen, A.T., Reiter, S., Rigo, P.: A review on simulation-based optimization methods applied to building performance analysis. Appl. Energy 113, 1043–1058 (2014). https://doi.org/10.1016/J.APENERGY.2013.08.061
Sobhy, I., Brakez, A., Benhamou, B.: Analysis for thermal behavior and energy savings of a semi-detached house with different insulation strategies in a hot semi-arid climate. J. Green Build. 12(1), 78–106 (2017). https://doi.org/10.3992/1552-6100.12.1.78
Mastouri, H., Benhamou, B., Hamdi, H., Mouyal, E.: Thermal performance assessment of passive techniques integrated into a residential building in semi-arid climate. Energy Build. 143, 1–16 (2017). https://doi.org/10.1016/J.ENBUILD.2017.03.022
Abdou, N., El Mghouchi, Y., Hamdaoui, S., El Asri, N., Mouqallid, M.: Multi-objective optimization of passive energy efficiency measures for net-zero energy building in Morocco. Build. Environ. 204, 108141 (2021). https://doi.org/10.1016/J.BUILDENV.2021.108141
Zhao, J., Du, Y.: Multi-objective optimization design for windows and shading configuration considering energy consumption and thermal comfort: a case study for office building in different climatic regions of China. Sol. Energy 206, 997–1017 (2020). https://doi.org/10.1016/J.SOLENER.2020.05.090
Guideline, A.: Measurement of energy, demand, and water savings. ASHRAE Guide 4, 1–150 (2014)
Acknowledgements
This work was performed in the frame of PPlaME project. The authors would like to thank the OCP Foundation as well as the Ministry of Higher Education, Scientific Research and Innovation, Morocco for the financial support of PPlaME through the APRD20 program.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Oulmouden, S., Radoine, H., Mastouri, H., Benhamou, B. (2024). Building Systems Optimization and Strategy Assessment for an Energy-Efficient Model of Buildings: A Case Study of a Residential Building in Benguerir City in Morocco. In: Littlewood, J.R., Jain, L., Howlett, R.J. (eds) Sustainability in Energy and Buildings 2023. Smart Innovation, Systems and Technologies, vol 378. Springer, Singapore. https://doi.org/10.1007/978-981-99-8501-2_30
Download citation
DOI: https://doi.org/10.1007/978-981-99-8501-2_30
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-8500-5
Online ISBN: 978-981-99-8501-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)