Evaluating Energy Consumption drivers in Saudi Arabia and Prioritizing Sustainable Solutions: An FAHP Approach
DOI:
https://doi.org/10.70917/jcc-2026-025Keywords:
Energy Consumption, FAHP, Saudi Arabia, Industrial Sector, Residential Energy Demand, Urbanization, Climate ConditionsAbstract
Saudi Arabia faces rising energy demand driven by rapid urbanization, industrialization, and population growth, presenting major sustainability challenges. This study employs the Fuzzy Analytic Hierarchy Process (FAHP) to evaluate the key determinants of energy consumption and to prioritize sustainable alternatives. energy-consumption drivers and strategies were identified through a systematic literature review and assessed using expert-based pairwise comparisons. A panel of highly experienced experts (n=7) independently completed full pairwise comparison matrices. After individual consistency testing, corresponding judgments were transformed into triangular fuzzy numbers and aggregated component-wise using the geometric mean before fuzzy weighting, defuzzification, and normalization. Results reveal that the industrial sector (0.385) and urbanization (0.208) are the most influential drivers of energy demand, reflecting the energy-intensive nature of manufacturing and the growing reliance on air conditioning in households. Economic growth and transportation also play substantial roles, whereas climate conditions and the residential sector were less significant. Among alternatives, sustainable urban form (0.322) and sustainable infrastructure (0.301) ranked highest, supported by energy-efficient buildings and urban greening. These findings align with global studies emphasizing efficiency and infrastructure as pillars of sustainable urban planning, while reflecting Saudi-specific priorities. The study highlights FAHP’s utility in structuring expert judgment under uncertainty and provides actionable insights for integrating energy efficiency into Saudi Vision 2030, offering a balanced framework for managing the country’s energy transition.
References
Abbas, H. B., and Routray, J. K. (2014). Assessing factors affecting flood-induced public health risks in Kassala State of Sudan. Operations Research for Health Care, 3(4), 215-225. https://doi.org/10.1016/j.orhc.2014.09.001.
Abdelrazik, A.S., Osama, A., Allam, A.N., Shboul, B., Sharafeldin, M.A., Elwardany, M. and Masoud, A.M., 2023. ANSYS-Fluent numerical modeling of the solar thermal and hybrid photovoltaic-based solar harvesting systems. Journal of Thermal Analysis and Calorimetry, 148(21), pp.11373-11424 https://doi.org/10.1007/s10973-023-12509-2.
Abdelrazik, A.S., Sharafeldin, M.A., Elwardany, M., Masoud, A.M., Allam, A.N., Shboul, B., Eissa, A.O. and Aliyu, M., 2026. Computational modeling of high-concentration solar systems using ANSYS-Fluent: Verified models, implemented methods, & existing challenges. Renewable and Sustainable Energy Reviews, 226, p.116305 https://doi.org/10.1016/j.rser.2025.116305.
Abdelrazik, A.S., Shboul, B., Elwardany, M., Zohny, R.N. and Osama, A., 2022. The recent advancements in the building integrated photovoltaic/thermal (BIPV/T) systems: An updated review. Renewable and Sustainable Energy Reviews, 170, p.112988 https://doi.org/10.1016/j.rser.2022.112988.
Al Garni, H. Z., and Awasthi, A. 2017. A fuzzy AHP and GIS-based approach to prioritize utility-scale solar PV sites in Saudi Arabia. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1244–1249). https://doi.org/10.1109/SMC.2017.8122783.
Al Garni, H. Z., and Awasthi, A. 2017. Solar PV power plant site selection using a GIS–AHP based approach with application in Saudi Arabia. Applied Energy, 206, 1225–1240. https://doi.org/10.1016/j.apenergy.2017.10.024.
Al Shammre, A. 2024. Investigating the Impact of Energy Consumption and Economic Activities on CO2 Emissions from Transport in Saudi Arabia. Energies, 17(17), 4448 https://doi.org/10.3390/en17174448.
Al-Ashwal, A. M., Shaalan, O. E., Obad, O. O. A., and Almashwali, M. M. 2026. Introducing PV grid-parity to Yemen power system: Experimental, feasibility, and environmental studies. Energy Catalyst. https://doi.org/10.65582/ec.2026.003.
Al-Maamary, H. M., Kazem, H. A., and Chaichan, M. T. 2017. Climate change: The game changer in the Gulf Cooperation Council region. Renewable and Sustainable Energy Reviews, 76, 555–576. https://doi.org/10.1016/j.rser.2017.04.005.
Alajmi, R. G. 2024. Energy consumption and carbon emissions: An empirical study of Saudi Arabia. Sustainability, 16(13), 5496 https://doi.org/10.3390/su16135496.
Albalawi, B. 2025. Urbanization and habitat loss: an overview of rapidly growing cities in Saudi Arabia. Frontiers in Sustainable Cities, 7, 1636228 https://doi.org/10.3389/frsc.2025.1636228.
Aldhubaib, H. A. 2022. Electrical energy future of Saudi Arabia: Challenges and opportunities. Frontiers in Energy Research, 10, 1005081 https://doi.org/10.3389/fenrg.2022.1005081.
Almasad, A., Pavlak, G., Alquthami, T., and Kumara, S. 2022. Site suitability analysis for implementing solar PV power plants using GIS and fuzzy MCDM based approach. Solar Energy, 240, 70–87. https://doi.org/10.1016/j.solener.2022.11.046.
Almogbel, A., Alkasmoul, F., Aldawsari, Z., Alsulami, J., and Alsuwailem, A. 2020. Comparison of energy consumption between non-inverter and inverter-type air conditioner in Saudi Arabia. Energy Transitions, 4(2), 191-197. https://doi.org/10.1007/s41825-020-00033-y.
Amer, E. A. A. A., Meyad, E. M. A., Gao, Y., Niu, X., Chen, N., Xu, H., and Zhang, D. 2022. Exploring the link between natural resources, urbanization, human capital, and ecological footprint: A case of GCC countries. Ecological Indicators, 144, 109556. https://doi.org/10.1016/j.ecolind.2022.109556.
Amiri, A. A., Wahid, M. N., Al-Buraiki, A. S., and Al-Sharafi, A. 2024. A strategic multi-criteria decision-making framework for renewable energy source selection in Saudi Arabia using AHP–TOPSIS. Renewable Energy, 236, 121523. https://doi.org/10.1016/j.renene.2024.121523.
Asakereh, A., Soleymani, M., and Sheikhdavoodi, M. J. 2017. A GIS-based Fuzzy-AHP method for the evaluation of solar farm locations: Case study in Khuzestan province, Iran. Solar Energy, 155, 342–353. https://doi.org/10.1016/j.solener.2017.05.075.
BP (British Petroleum). 2017. BP Statistical Review of World Energy 2017 (accessed 15 May 2025). https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html.
Brahmia, S. Y., and Mannai, S. 2024. Environmental Degradation in Gulf Cooperation Council: Role of ICT Development, Trade, FDI, and Energy Use. Sustainability, 17(1), 54. https://doi.org/10.3390/su17010054.
Buckley, J. J. 1985. Fuzzy hierarchical analysis. Fuzzy sets and systems, 17(3), 233-247. https://doi.org/10.1016/0165-0114(85)90090-9.
Caraiani, C., Lungu, C. I., and Dascălu, C. 2015. Energy consumption and GDP causality: A three-step analysis for emerging European countries. Renewable and Sustainable Energy Reviews, 44, 198-210. https://doi.org/10.1016/j.rser.2014.12.017.
CIA (Central Intelligence Agency) USA. 2019. The World Factbook. Middle East: Saudi Arabia (accessed 18 November 2024). https://www.cia.gov/the-world-factbook/countries/saudi-arabia/.
Dahri, N., and Abida, H. 2017 Monte Carlo simulation-aided analytical hierarchy process (AHP) for flood susceptibility mapping in Gabes Basin (southeastern Tunisia). Environmental earth sciences, 76(7), 302. https://doi.org/10.1007/s12665-017-6619-4.
Danaci, K. İ., and Akkaya, S. 2026. A deep learning approach to power quality monitoring for energy efficiency and carbon reduction. Global Decarbonisation, 2(1), 92–119 https://doi.org/10.65582/gd.2026.007.
Dano, U. L., Abubakar, I. R., AlShihri, F. S., Ahmed, S. M., Alrawaf, T. I., and Alshammari, M. S. 2023. A multi-criteria assessment of climate change impacts on urban sustainability in Dammam Metropolitan Area, Saudi Arabia. Ain Shams Engineering Journal, 14(9), 102062 https://doi.org/10.1016/j.asej.2022.102062.
Danumah, J. H., Odai, S. N., Saley, B. M., Szarzynski, J., Thiel, M., Kwaku, A., ... and Akpa, L. Y. 2016. Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’ivoire). Geoenvironmental Disasters, 3(1), 10. https://doi.org/10.1186/s40677-016-0044-y.
Darfaoui, E. M., and Al Assiri, A. 2015. Response to climate change in the Kingdom of Saudi Arabia. A report prepared for the Food and Agriculture Organization, United Nations. https://www.academia.edu/attachments/80161513/download_file (accessed 27 July 2025).
Elwardany, M. 2024. Enhancing steam boiler efficiency through comprehensive energy and exergy analysis: A review. Process Safety and Environmental Protection. https://doi.org/10.1016/j.psep.2024.01.102.
Elwardany, M., Nassib, A. M., and Mohamed, H. A. 2023. Case Study: Exergy Analysis of a Gas Turbine Cycle Power Plant in Hot Weather Conditions. IEEE NILES. https://doi.org/10.1109/NILES59815.2023.10296731.
Elwardany, M., Nassib, A.M. and Mohamed, H.A., 2024a. Exergy analysis of a gas turbine cycle power plant: a case study of power plant in Egypt: M. Elwardany et al. Journal of Thermal Analysis and Calorimetry, 149(14), pp.7433-7447. https://doi.org/10.1007/s10973-024-13324-z.
Elwardany, M., Nassib, A. M., and Mohamed, H. A. 2024b. Advancing sustainable thermal power generation: Insights from recent energy and exergy studies. Process Safety and Environmental Protection. https://doi.org/10.1016/j.psep.2024.01.039.
Elwardany, M., Abdelrazik, A. S., Fathi, H., Omar, A. M. A., and Abdelkawy, N. 2024c. Practicality and economic assessment on using the solar Organic Rankine Cycle as a power source for a specific membrane-based desalination system. Water Conservation Science and Engineering. https://doi.org/10.1007/s41101-024-00273-9.
Elwardany, M., Turja, A.I., Hasan, M.M. and Nassif, N., 2026. High-temperature heat pumps for industrial decarbonization: Technologies, integration strategies, and future perspectives. Chemical Engineering and Processing-Process Intensification, p.110806 https://doi.org/10.1016/j.cep.2026.110806.
Fernandes, K., and Reddy, Y. V. 2020. Energy consumption and economic growth in newly industrialised countries of Asia. International Journal of Energy Economics and Policy, 10(4), 384-391. https://ideas.repec.org/a/eco/journ2/2020-04-48.html.
GAS (General Authority for Statistics, Saudi Arabia). (2010). The general population and housing census 1431 H. https://www.stats.gov.sa/.
Gazzeh, K., and Abubakar, I. R. 2018. Regional disparity in access to basic public services in Saudi Arabia: A sustainability challenge. Utilities Policy, 52, 70–80. https://doi.org/10.1016/j.jup.2018.04.008.
Gigović, L., Pamučar, D., Bajić, Z., and Drobnjak, S. 2017. Application of GIS-interval rough AHP methodology for flood hazard mapping in urban areas. Water, 9(6), 360. https://doi.org/10.3390/w9060360.
Howarth, N., Odnoletkova, N., Alshehri, T., Almadani, A., Lanza, A., and Patzek, T. 2020. Staying cool in A warming climate: temperature, electricity and air conditioning in Saudi Arabia. Climate, 8(1), 4. https://doi.org/10.3390/cli8010004.
Jaber, J. O., Al-Ghandoor, A., and Sawalha, S. A. 2008. Energy analysis and exergy utilization in the transportation sector of Jordan. Energy policy, 36(8), 2995-3000. https://doi.org/10.1016/j.enpol.2008.04.004.
Javid, M. 2024. Inter-fuel substitution in the industrial sector of Saudi Arabia. Energy Reports, 12, 5356-5366. https://doi.org/10.1016/j.egyr.2024.11.029.
Konhäuser, K., and Werner, T. 2024. Uncovering the financial impact of energy-efficient building characteristics with explainable artificial intelligence. Applied Energy, 374, 123960. https://doi.org/10.1016/j.apenergy.2024.123960.
Krarti, M., and Howarth, N. 2020. Transitioning to high efficiency air conditioning in Saudi Arabia: A benefit cost analysis for residential buildings. Journal of Building Engineering, 31, 101457. https://doi.org/10.1016/j.jobe.2020.101457.
Kustova, I., Hudenko, J., and Lace, N. 2024. A Systematic Review of Sustainability Criteria in Infrastructure Development. Sustainability, 16(11), 4564. https://doi.org/10.3390/su16114564.
Lefosse, D. C., Naghibi, M., Luo, S., and van Timmeren, A. 2025. Biophilic Urbanism Across Scales: Enhancing Urban Nature Through Experience and Design. Land, 14(5), 1112. https://doi.org/10.3390/land14051112.
Ma, S., Li, S., Luo, Q., Yu, Z., and Wang, Y. 2024. Revisiting the relationships between energy consumption, economic development and urban size: A global perspective using remote sensing data. Heliyon, 10(5). https://doi.org/10.1016/j.heliyon.2024.e27318.
Mehmood, S., Amber, K. P., Usman, M., and Friedrich, D. 2023. Integrating latent load into the cooling degree days concept for current and future weather projections. Buildings, 14(1), 106. https://doi.org/10.3390/buildings14010106.
Merrouni, A. A., Elalaoui, F. E., Mezrhab, A., Mezrhab, A., and Ghennioui, A. 2018. Large scale PV sites selection by combining GIS and Analytical Hierarchy Process: Case study of Eastern Morocco. Renewable Energy, 119, 863–873. https://doi.org/10.1016/j.renene.2017.10.044.
Mezghani, I., and Haddad, H. B. 2017. Energy consumption and economic growth: An empirical study of the electricity consumption in Saudi Arabia. Renewable and Sustainable Energy Reviews, 75, 145-156. https://doi.org/10.1016/j.rser.2016.10.058.
Nikolaidou, A., Kopsacheilis, A., Gavanas, N., and Politis, I. 2024. Assessing the EU Climate and Energy Policy Priorities for Transport and Mobility through the Analysis of User-Generated Social Media Content Based on Text-Mining Techniques. Sustainability, 16(10), 3932. https://doi.org/10.3390/su16103932.
Ouma, Y. O., and Tateishi, R. 2014. Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment. Water, 6(6), 1515-1545. https://doi.org/10.3390/w6061515.
Papaioannou, G., Vasiliades, L., and Loukas, A. 2015. Multi-criteria analysis framework for potential flood prone areas mapping. Water resources management, 29(2), 399-418. https://doi.org/10.1007/s11269-014-0817-6.
Rafeek, M., Elwardany, M., Nassib, A.M., Ahmed, M.S., Mohamed, H.A. and Abdelaal, M.R., 2025a. Sustainable refining: integrating renewable energy and advanced technologies. Journal of Thermal Analysis and Calorimetry, 150(21), pp.17051-17071. https://doi.org/10.1007/s10973-025-14673-z.
Rafeek, M., Elwardany, M., Nassib, A.M., Ahmed, M.S., Mohamed, H.A. and Abdelaal, M.R., 2025b. Sustainable refining: Enhancing energy efficiency in crude distillation processes. Chemical Engineering and Processing-Process Intensification, 214, p.110326 https://doi.org/10.1016/j.cep.2025.110326.
Rahman, M. M., Rahman, S. M., Shafiullah, M., Hasan, M. A., Gazder, U., Al Mamun, A., ... and Al-Ismail, F. S. 2022. Energy demand of the road transport sector of Saudi Arabia—application of a causality-based machine learning model to ensure sustainable environment. Sustainability, 14(23), 16064. https://doi.org/10.3390/su142316064.
Razak, T.R., Kutlu, C., Zheng, T., Jarimi, H., Su, Y., Riffat, S., Jayakumar, P. and Shah, D., 2026. From Experiment to Deployment: An Integrated Framework for Predictive Modelling and Visualisation of Thermoelectric HVAC Systems. Artificial Intelligence for Sustainable Cities, 1(1), pp.119-135 https://doi.org/10.65582/aifsc.2026.008.
Rehman, S., Mohammed, A. B., and Alhems, L. 2020. A heuristic approach to siting and design optimization of an onshore wind farm layout. Energies, 13(21), 5525. https://doi.org/10.3390/en13215946.
Riffat, J., and Samaei, S. R. (2026). A reliability-based framework for phase change material thermal energy storage under renewable intermittency: Linking phase-change dynamics, energy availability and load matching. Energy Catalyst, 2, 63–86. https://doi.org/10.65582/ec.2026.005.
Rimi, A. I., and Lawal, D. U. 2020. Sustainable urban planning strategies for mitigating climate change in Saudi Arabia. Environment, Development and Sustainability, 22(6), 5129-5152. https://doi.org/10.1007/s10668-019-00417-1.
Saaty, T. L., and Özdemir, M. S. 2014. How many judges should there be in a group?. Annals of Data Science, 1(3), 359-368. https://doi.org/10.1007/s40745-014-0026-4.
Samaei, S. R., and Riffat, J. 2026. From optimization to stability preservation: A self-healing, action-bearing digital twin for climate-stressed building energy systems. Green Technology and Innovation, 2(1), 126–148. https://doi.org/10.65582/gti.2026.008.
Seto, K. C., Güneralp, B., and Hutyra, L. R. 2012. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences, 109(40), 16083-16088. https://doi.org/10.1073/pnas.1211658109.
Shao, M., Han, Z., Sun, J., Xiao, C., Zhang, S., and Zhao, Y. 2020. A review of multi-criteria decision making applications for renewable energy site selection. Renewable Energy, 157, 377–403. https://doi.org/10.1016/j.renene.2020.04.137.
UN-Habitat. 2022. World cities report 2022: Envisaging the future of cities. https://unh abitat.org/sites/default/files/2022/06/wcr_2022.pdf. (accessed 26 April 2025). https://unhabitat.org/wcr/.
Warsame, A. A. 2022. The impact of urbanization on energy demand: An empirical evidence from Somalia. International Journal of Energy Economics and Policy, 12(1), 383-389. https://doi.org/10.32479/ijeep.11823.
World Bank 2022. World development indicators, 2022. Data Bank. https://databank.worldbank.org/source/world-development-indicators.
World Population Review 2025. Saudi Arabia population 2025 (live). https://worldpopulationreview.com/countries/saudi-arabia.
Wu, M., Mateo-Elgueda, F., and Su, Y. 2026. Seasonally shaded Trombe wall for improved annual thermal comfort and energy performance in a hot summer-cold winter climate. Research and Reviews in Sustainability, 2(1), 137–151. https://doi.org/10.65582/rrs.2026.010.
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