Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction
Abstract Air conditioning systems are essential for ensuring indoor thermal comfort in commercial buildings; however, they are also significant consumers of electrical energy, contributing to increased environmental impact. Optimizing the design of mechanical ventilation (MV) systems through multi-o...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-07640-z |
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| author | Enio Pedone Bandarra Filho Gleyzer Martins Muhammad Bilal Riaz Sardar Muhammad Bilal Oscar Saul Hernandez Mendonza |
| author_facet | Enio Pedone Bandarra Filho Gleyzer Martins Muhammad Bilal Riaz Sardar Muhammad Bilal Oscar Saul Hernandez Mendonza |
| author_sort | Enio Pedone Bandarra Filho |
| collection | DOAJ |
| description | Abstract Air conditioning systems are essential for ensuring indoor thermal comfort in commercial buildings; however, they are also significant consumers of electrical energy, contributing to increased environmental impact. Optimizing the design of mechanical ventilation (MV) systems through multi-objective approaches can greatly improve both energy efficiency and cost-effectiveness. This study presents an advanced optimization strategy for MV in both a classical reference case and a real-world commercial installation. The methodology integrates principles of fluid mechanics with computational modeling to perform mass and pressure balances, combined with a simulated annealing algorithm for system optimization. The results demonstrate notable reductions in energy consumption, installation costs, and root mean square deviation of airflow rates from design targets. Furthermore, the proposed approach enables effective airflow distribution without the use of dampers. These findings highlight the potential of optimization techniques, particularly simulated annealing, in enhancing the performance, economic feasibility, and environmental sustainability of HVAC systems in commercial applications. |
| format | Article |
| id | doaj-art-77b7e73138194ac6b338e6bb5e084aa0 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-77b7e73138194ac6b338e6bb5e084aa02025-08-20T04:01:24ZengNature PortfolioScientific Reports2045-23222025-07-0115111410.1038/s41598-025-07640-zOptimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reductionEnio Pedone Bandarra Filho0Gleyzer Martins1Muhammad Bilal Riaz2Sardar Muhammad Bilal3Oscar Saul Hernandez Mendonza4Department of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University (PMU)Federal University of Uberlandia (UFU)IT4Innovations, VSB – Technical University of OstravaDepartment of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University (PMU)Federal University of Uberlandia (UFU)Abstract Air conditioning systems are essential for ensuring indoor thermal comfort in commercial buildings; however, they are also significant consumers of electrical energy, contributing to increased environmental impact. Optimizing the design of mechanical ventilation (MV) systems through multi-objective approaches can greatly improve both energy efficiency and cost-effectiveness. This study presents an advanced optimization strategy for MV in both a classical reference case and a real-world commercial installation. The methodology integrates principles of fluid mechanics with computational modeling to perform mass and pressure balances, combined with a simulated annealing algorithm for system optimization. The results demonstrate notable reductions in energy consumption, installation costs, and root mean square deviation of airflow rates from design targets. Furthermore, the proposed approach enables effective airflow distribution without the use of dampers. These findings highlight the potential of optimization techniques, particularly simulated annealing, in enhancing the performance, economic feasibility, and environmental sustainability of HVAC systems in commercial applications.https://doi.org/10.1038/s41598-025-07640-zEnergy efficiencyVentilation demandAirflow distributionSimulated annealingMechanical ventilationHVAC |
| spellingShingle | Enio Pedone Bandarra Filho Gleyzer Martins Muhammad Bilal Riaz Sardar Muhammad Bilal Oscar Saul Hernandez Mendonza Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction Scientific Reports Energy efficiency Ventilation demand Airflow distribution Simulated annealing Mechanical ventilation HVAC |
| title | Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction |
| title_full | Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction |
| title_fullStr | Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction |
| title_full_unstemmed | Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction |
| title_short | Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction |
| title_sort | optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction |
| topic | Energy efficiency Ventilation demand Airflow distribution Simulated annealing Mechanical ventilation HVAC |
| url | https://doi.org/10.1038/s41598-025-07640-z |
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