The Role of Computer Simulation Impact for Sustainable Development in Engineering Experiments: Mini Review

Authors

  • Shen Hosan aDepartment of Engineering Technology, Faculty of Technology, Sabaragamuwa University of Sri Lanka, Belihuloya, Sri Lanka.
  • Hasith Perera Department of Biosystems Technology, Faculty of Technology, Sabaragamuwa University of Sri Lanka, Belihuloya, Sri Lanka.
  • Vimukthi Vithanage Department of Engineering Technology, Faculty of Technology, Sabaragamuwa University of Sri Lanka, Belihuloya, Sri Lanka.
  • Dasith Wijesekara Department of Biosystems Technology, Faculty of Technology, Sabaragamuwa University of Sri Lanka, Belihuloya, Sri Lanka.
  • Anjula Kelum Esoft Metro Campus, Gampaha, Sri Lanka
  • Kaveenga Koswattage Department of Engineering Technology, Faculty of Technology, Sabaragamuwa University of Sri Lanka, Belihuloya, Sri Lanka.

DOI:

https://doi.org/10.56778/rjslr.v3i3.590

Keywords:

Computer-simulation, Sustainable-development, Physical-experiments, Carbon-footprints, Renewable-energy

Abstract

Sustainable development has become a foundational principle in modern engineering research and practice. Conventional physical experiments frequently require considerable resource utilization, produce waste, and demand substantial time, thereby presenting obstacles to environmental objectives. This paper aims to evaluate the impact of computer-based simulations as a transformative approach to engineering experiments, specifically examining how they align with sustainability goals compared to conventional methods. This study employs a mini-review methodology, synthesizing data from various case studies across engineering disciplines. The analysis focuses on three primary sustainability metrics: resource efficiency, environmental impact reduction, and temporal optimization. The findings demonstrate that computer simulations drastically reduce the carbon footprint of research by minimizing the need for physical prototypes and hazardous materials. Furthermore, simulations allow for rapid iterative testing, which fosters innovation while ensuring high experimental rigor. Case studies show that integrating simulation tools can lead to a significant decrease in material waste up to 60-80% in certain manufacturing and structural testing scenarios. Conclusion: This study concludes that computer-based simulations are not merely a technical convenience but a critical driver for sustainable development in engineering. By maintaining experimental scrupulousness while enhancing efficiency, simulations provide a viable pathway for future-proof engineering practices that balance technological progress with environmental responsibility.

References

REFERENCES

i. Allerton, D. J. (2010). The impact of flight simulation in aerospace. The Aeronautical Journal, 114(1162), 747–756. https://doi.org/10.1017/S0001924000004231

ii. Baniassadi, F., Alvanchi, A., & Mostafavi, A. (2018). A simulation-based framework for concurrent safety and productivity improvement in construction projects. Engineering, Construction and Architectural Management, 25(11), 1501–1515. https://doi.org/10.1108/ECAM-12-2017-0266

iii. Commission on Environment, W. (1987). Report of the World Commission on Environment and Development: Our Common Future Towards Sustainable Development 2. Part II. Common Challenges Population and Human Resources 4.

iv. David Müzel, S., Bonhin, E. P., Guimarães, N. M., & Guidi, E. S. (2020). Application of the Finite Element Method in the Analysis of Composite Materials: A Review. Polymers, 12(4), 818. https://doi.org/10.3390/polym12040818

v. Ead, R., & AbouRizk, S. (2024). Virtual simulation environment for comparing and testing current modeling strategies in project planning and control. Automation in Construction, 166, 105647. https://doi.org/10.1016/j.autcon.2024.105647

vi. Fachada, N., & David, N. (2024). Artificial Intelligence in Modeling and Simulation. Algorithms, 17(6), 265. https://doi.org/10.3390/a17060265

vii. Filonchyk, M., Peterson, M. P., Yan, H., Gusev, A., Zhang, L., He, Y., & Yang, S. (2024). Greenhouse gas emissions and reduction strategies for the world’s largest greenhouse gas emitters. Science of The Total Environment, 944, 173895. https://doi.org/10.1016/j.scitotenv.2024.173895

viii. Lian, H., Wang, D., & Li, H. (2020). Waste sorting and its effects on carbon emission reduction: Evidence from China. Chinese Journal of Population, Resources and Environment, 18(1), 26–34. https://doi.org/10.1016/j.cjpre.2021.04.027

ix. Lu, Y., Khan, Z. A., Alvarez-Alvarado, M. S., Zhang, Y., Huang, Z., & Imran, M. (2020). A Critical Review of Sustainable Energy Policies for the Promotion of Renewable Energy Sources. Sustainability, 12(12), 5078. https://doi.org/10.3390/su12125078

x. Malvè, M. (Ed.). (2023). Numerical Simulation in Biomechanics and Biomedical Engineering-II. MDPI. https://doi.org/10.3390/books978-3-0365-8101-9

xi. Mundu, M. M., Nnamchi, S. N., Sempewo, J. I., & Uti, D. E. (2024). Simulation modeling for energy systems analysis: a critical review. Energy Informatics, 7(1), 75. https://doi.org/10.1186/s42162-024-00374-8

xii. Nazari, M., & Matusiak, B. (2024). Daylighting simulation and visualisation: Navigating challenges in accuracy and validation. Energy and Buildings, 312, 114188. https://doi.org/10.1016/j.enbuild.2024.114188

xiii. Ogunmodede, O., Anderson, K., Cutler, D., & Newman, A. (2021). Optimizing design and dispatch of a renewable energy system. Applied Energy, 287, 116527. https://doi.org/10.1016/j.apenergy.2021.116527

xiv. Rohmah, M. (2024). Literature Review: Green Computing For Environmental Sustainability. Information Technology International Journal, 1(2). https://doi.org/10.33005/itij.v1i2.9

xv. Southwick, D., Resch, G., & Ratto, M. (2021). Iterative Prototyping and Co-design (pp. 231–238). https://doi.org/10.1007/978-3-030-34390-3_30

xvi. UN. (2015). GLOBAL SUSTAINABLE DEVELOPMENT REPORT 2015 EDITION ADVANCE UNEDITED VERSION.

xvii. Yan, Y., Yang, Y., Yuan, S., & Chen, C. (2024). Enhancing Accuracy in Numerical Simulations for High-Speed Flows: Integrating High-Order Corrections with Weighted Essentially Non-Oscillatory Flux. Processes, 12(4), 642. https://doi.org/10.3390/pr12040642

xviii. Yu, S., You, L., & Zhou, S. (2023). A review of optimization modeling and solution methods in renewable energy systems. Frontiers of Engineering Management, 10(4), 640–671. https://doi.org/10.1007/s42524-023-0271-3

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Published

2025-12-30

How to Cite

Hosan, S., Perera, H., vithanage, V., Wijesekara, D., Kelum, A., & koswattage, kaveenga. (2025). The Role of Computer Simulation Impact for Sustainable Development in Engineering Experiments: Mini Review. RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW, 3(3), 771–776. https://doi.org/10.56778/rjslr.v3i3.590