Inherited Urbanism and Energy Transition: An Approach Based on Artificial Intelligence and GIS

Authors

  • Mohammed Debab
  • Mohamed El Amine Boukli Hacene
  • Mahmoud Youcef Mahmoud
  • Mohamed Zoheir Chekroun
  • Mohamed Amine Benali

DOI:

https://doi.org/10.22399/ijcesen.4346

Keywords:

Urban planning, Colonial legacy, Energy transition, Photovoltaic potential

Abstract

This study aims to analyze the impact of urban planning in cities marked by an unequal distribution of neighbourhoods — particularly those that were colonized by foreign powers, such as the city of Sidi Bel Abbès in Algeria — on the current energy transition. The study area includes 277 rooftops suitable for solar panel installation and located near electricity distribution substations. The results revealed a disparity in annual individual photovoltaic energy production between neighborhoods once inhabited by colonizers and those designated for the indigenous population, a contrast still evident today due to the preservation of the same urban structure. Deep learning techniques (U-Net and Attention U-Net) were used to detect rooftops, yielding good results despite limited data availability. Geographic Information Systems (GIS) were also employed to assess the solar potential and analyze the proximity of rooftops to the distribution substations.

References

[1] C. Zou, M. Ma, N. Zhou, W. Feng, K. You, et S. Zhang, « Toward carbon free by 2060: A decarbonization roadmap of operational residential buildings in China », Energy, vol. 277, p. 127689, août 2023, doi: 10.1016/j.energy.2023.127689.

[2] International Energy Agency, Empowering Cities for a Net Zero Future: Unlocking Resilient, Smart, Sustainable Urban Energy Systems, International Energy Agency, Paris, 2021. [Online]. Available: https://www.iea.org/reports/empowering-cities-for-a-net-zero-future.

[3] L. F. Cabeza, A. De Gracia, et A. L. Pisello, « Integration of renewable technologies in historical and heritage buildings: A review », Energy Build., vol. 177, p. 96‑111, oct. 2018, doi: 10.1016/j.enbuild.2018.07.058.

[4] A. A. A. Gassar et S. H. Cha, « Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales », Appl. Energy, vol. 291, p. 116817, juin 2021, doi: 10.1016/j.apenergy.2021.116817.

[5] Reinar, Dag Arne, Miller, et Frederica, « Sustainable Historic Towns: Urban Heritage – Good for the Climate! », Project Report 2011-2012, 2012.

[6] L. T. F. Van Krugten, L. M. C. Hermans, L. C. Havinga, A. R. Pereira Roders, et H. L. Schellen, « Raising the energy performance of historical dwellings », Manag. Environ. Qual. Int. J., vol. 27, no 6, p. 740‑755, sept. 2016, doi: 10.1108/MEQ-09-2015-0180.

[7] M. Economidou, « Energy performance requirements for buildings in Europe ».

[8] H. Karimi, M. A. Adibhesami, S. Hoseinzadeh, S. Movafagh, B. M. Estalkhsari, et D. A. Garcia, « Solar energy integration in heritage buildings: A case study of St. Nicholas Church », Energy Rep., vol. 11, p. 4177‑4191, juin 2024, doi: 10.1016/j.egyr.2024.03.043.

[9] S. Lidelöw, T. Örn, A. Luciani, et A. Rizzo, « Energy-efficiency measures for heritage buildings: A literature review », Sustain. Cities Soc., vol. 45, p. 231‑242, févr. 2019, doi: 10.1016/j.scs.2018.09.029.

[10] A. Galatioto, G. Ciulla, et R. Ricciu, « An overview of energy retrofit actions feasibility on Italian historical buildings », Energy, vol. 137, p. 991‑1000, oct. 2017, doi: 10.1016/j.energy.2016.12.103.

[11] Z. Ma, P. Cooper, D. Daly, et L. Ledo, « Existing building retrofits: Methodology and state-of-the-art », Energy Build., vol. 55, p. 889‑902, déc. 2012, doi: 10.1016/j.enbuild.2012.08.018.

[12] « Comment des panneaux solaires sont installés sur des bâtiments historiques », euronews. Consulté le: 24 février 2025. [En ligne]. Disponible sur: https://fr.euronews.com/green/2024/08/03/comment-des-panneaux-solaires-sont-installes-sur-des-batiments-historiques

[13] E. Lucchi, S. Baiani, et P. Altamura, « Design criteria for the integration of active solar technologies in the historic built environment: Taxonomy of international recommendations », Energy Build., vol. 278, p. 112651, janv. 2023, doi: 10.1016/j.enbuild.2022.112651.

[14] M.-A. Moulai-Khatir et R. W. Biara, « COLONIAL PROJECTION ON THE PUBLIC BUILDINGS OF THE WEST-ALGERIAN: SHARED INHERITANCES ».

[15] O. Ronneberger, P. Fischer, et T. Brox, « U-Net: Convolutional Networks for Biomedical Image Segmentation », in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, vol. 9351, N. Navab, J. Hornegger, W. M. Wells, et A. F. Frangi, Éd., in Lecture Notes in Computer Science, vol. 9351. , Cham: Springer International Publishing, 2015, p. 234‑241. doi: 10.1007/978-3-319-24574-4_28.

[16] O. Oktay et al., « Attention U-Net: Learning Where to Look for the Pancreas », 20 mai 2018, arXiv: arXiv:1804.03999. doi: 10.48550/arXiv.1804.03999.

[17] Esri, A Practical Guide to GIS in Asset Management, Redlands, CA: Esri, May 2017. [Online]. Available: https://www.esri.com/library/whitepapers/pdfs/a-practical-guide-to-gis-in-asset-management.pdf

[18] Sonelgaz, “Accueil - Sonelgaz,” [En ligne]. Disponible sur : https://www.sonelgaz.dz/fr. [Consulté le : 19 mai 2025].

[19] Service départemental de l’Urbanisme, Plan d’urbanisme directeur de la commune de Sidi-Bel-Abbès, Délégation Générale en Algérie, Direction des Travaux Publics de l’Hydraulique et de la Construction, Oran, 1961.

[20] A. Martinez, "Strategies for improving energy efficiency in historical buildings with renewable energy integration," Journal of Building Engineering, vol. 15, pp. 120-130, 2018.

[21] J. Smith, "Multi-criteria assessment framework for photovoltaic integration in heritage buildings," Renewable Energy and Sustainable Development, vol. 10, no. 2, pp. 45-59, 2024.

[22] M. Johnson, L. Wang, and P. Kumar, "Estimating photovoltaic potential in culturally sensitive areas: A collaborative approach," Energy Policy and Environmental Planning, vol. 9, no. 3, pp. 200-215, 2023.

[23] F. Lucchi, G. Capozzoli, and S. Corgnati, "Restoration strategies for enhancing energy performance and thermal comfort in heritage buildings," Energy and Buildings, vol. 125, pp. 120-134, 2016.

Downloads

Published

2025-11-23

How to Cite

Mohammed Debab, Mohamed El Amine Boukli Hacene, Mahmoud Youcef Mahmoud, Mohamed Zoheir Chekroun, & Mohamed Amine Benali. (2025). Inherited Urbanism and Energy Transition: An Approach Based on Artificial Intelligence and GIS. International Journal of Computational and Experimental Science and Engineering, 11(4). https://doi.org/10.22399/ijcesen.4346

Issue

Section

Research Article