Oil spills continue to pose a significant environmental issue, especially in marine ecosystems where clean-up efforts are extremely challenging and costly. Sawdust was chemically altered using sodium hydroxide, hydrogen peroxide, and hydrochloric acid in this research to increase its water-repelling and oil-attracting properties, thus enhancing its ability to absorb crude oil from seawater. The adsorption behavior was studied using the pseudo-second-order (PSO) and Elovich kinetic models at different temperatures. The PSO model achieved the highest correlation (R² = 0.9891), suggesting that chemisorption was the primary mechanism...........

Keywords- Chemically treated sawdust, Oil spill remediation, Adsorption kinetics, FTIR spectroscopy, Hydrophobic modification, Surface modification.

[1]. A. Ahmed, M. O. Bello, and T. M. Abioye, "Recent advances in biomass-based sorbents for oil spill cleanup: Modification, performance, and environmental implications," Journal of Environmental Management, vol. 336, p. 117594, 2023. doi:10.1016/j.jenvman.2023.117594
[2]. E. A. El-Shafey and J. A. Al-Fahemi, "Enhancement of oil sorption capacity of natural sorbents via chemical modification: A review," Environmental Nanotechnology, Monitoring & Management, vol. 16, p. 100679, 2021. doi:10.1016/j.enmm.2021.100679
[3]. T. T. Lim, Y. Huang, and L. Chen, "Evaluation of lignocellulosic sorbents for oil spill cleanup under various conditions," Journal of Environmental Chemical Engineering, vol. 8, no. 4, p. 103872, 2020. doi:10.1016/j.jece.2020.103872
[4]. P. Singh, A. Pudaruth, and S. K. Ramessur, "Community-driven responses to the Mauritius oil spill: A case study of sustainable sorbent use," Marine Pollution Bulletin, vol. 172, p. 112907, 2021. doi:10.1016/j.marpolbul.2021.112907
[5]. M. Anisuddin, S. Haque, and R. H. Khan, "Marine oil transportation and its impact on coastal biodiversity: A review," Indian Journal of Marine Sciences, vol. 34, no. 3, pp. 245–252, 2005.

The demand for renewable energy has led to significant advancements in wind turbine design. This paper focuses on the design, simulation, and analysis of a Savonius Vertical Axis Wind Turbine (VAWT) using SolidWorks and ANSYS. The turbine was analyzed for various mechanical and aerodynamic properties to evaluate its performance under low wind speeds suitable for residential and rural applications. The study includes simulation results such as stress, strain, and deformation analysis. Results indicate that the turbine achieves stable and efficient energy output at low wind speeds, confirming its potential for small-scale power generation.

Keywords — Savonius Turbine, Wind Energy, ANSYS, Simulation, Sustainable Energy

[1]. M. Islam, D. S.-K. Ting, and A. Fartaj, 'Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines,' Renewable and Sustainable Energy Reviews, 2008.
[2]. S. Mertens, 'Wind Energy in the Built Environment: Concentrator Effects of Buildings,' Earthscan, 2006.
[3]. M. Ragheb and A. M. Ragheb, 'Wind Turbines Theory - The Betz Equation and Optimal Rotor Tip Speed Ratio,' IntechOpen, 2011.
[4]. A. H. Lefebvre, 'Energy Production Using Vertical Axis Wind Turbines,' Journal of Wind Engineering, 2019.

The Nigerian power sector is currently dealing with a range of issues, including shortages in electricity generation, inefficiencies in the system and major power losses along the long stretches of transmission and distribution lines. This paper aims to improve the performance of the underperforming distribution network by strategically adding Distributed Generation (DG) units, carefully positioned and sized within the grid. The North-Bank feeder of Makurdi's medium voltage distribution system was chosen as a case study because it experiences persistent supply shortages and voltage drop problems more than other feeders in the network. This feeder, which consists of a 10-bus system running over a long route with increasing......

Keywords — Distribution networks, Power loss, Distributed Generation, Genetic Algorithm, optimization.

[1] Dulau I, Abrudean M and Bica D. Optimal Location of a Distributed Generator for Power Loss Improvement. 9th International Conference Interdisciplinary in Engineering, INTER-ENG Tirgu-Mures, Romania. 2015, 8-9.
[2] Wang L and Xu Y. (2011). An Effective Hybrid Biogeography based Optimization Algorithm for Parameter Estimation of Chaotic Systems. Expert systems with Applications. 2015,4(2): 3-6.
[3] Mishra A and Bhandakkar A. Selection of Optimal Location and Size of Distributed Generation in Distribution System Using Particle Swarm Optimization, International Journal of Engineering Research and Technology. 2014, 3(1): 2008-2013.
[4] Al-Ammar E, Farzana K, Waqar A, Aamir M, Saifullah Ul, Haq A and Zahid M. ABC Algorithm based Optimal Sizing and Placement of DGs in Distribution Networks considering Multiple Objectives, Ain Shams Engineering Journal, Ain Shams University. 2021, 12(1): 697–708.
[5] Aman M, Ren X, Tareen W, Khan M, Anjum M, Hashmi A, Ali H, Bari I, Khan J and Ahmad S. Optimal Siting of Distributed Generation Unit in Power Distribution System Considering Voltage Profile and Power Losses. Mathematical Problems in Engineering, 2022. 1–14

This paper presented surrogate modelling of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems. It was aimed at the development of multi-objective frameworks for optimal liquid nitrogen pumping for leak test of hydrocarbon and allied fluids piping systems thereby reducing the uncertainties and variability in the pumping operation due to energy consumption, operational cost and other performance parameters. Surrogate modelling is a data-driven computational and stochastic process. The data set was collected from a real time hydrocarbon and allied fluids piping systems' nitrogen-helium leak test scenario......

Keywords — Liquid nitrogen pumping, Hydrocarbon fluids, Piping systems, Models, Energy consumption.

[1] Gorissen, D., Couckuyt, I., Demeester, P. and Dhaene, T. and Crombecq, K. (2010) A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design. Journal of Machine Learning Research 11 (2010) 2051 – 2055.
[2] Palar, P. S., Zuhal, L. R., Liem, R. P. and Shimoyama, K. (2019) On the Use of Surrogate Models in Engineering Design Optimization and Exploration: The Key Issues. Proceedings of the Genetic and Evolutionary Computation Conference Companion July 2019. Pp. 1592–1602. https://doi.org/10.1145/3319619.3326813.
[3] Broeke, G. T., Voorn, G. V., Ligtenberg, A. and Molenaar, J. (2021) The Use of Surrogate Models to Analyse Agent-Based Models. Journal of Artificial Societies and Social Simulation. Vol. 24, Issue 2. DOI: 10.18564/jasss.4530.
[4] Qiu, R.; Zhang, H.; Zhang, H.; Gao, X.; Zhou, X.; Guo, Z.; Liao, Q. and Liang, Y. (2019) A Multi-Scenario and Multi-Objective Scheduling Optimization Model for Liquefied Light Hydrocarbon Pipeline System. Chemical Engineering Research and Design, Volume 141, Pp. 566-579, ISSN 0263-8762. https://doi.org/10.1016/j.cherd.2018.11.018.
[5] Kazi, S. R.; Sundar, K.; Srinivasan, S. and Zlotnik, A. (2022) Modeling and Optimization of Steady Flow of Natural Gas and Hydrogen Mixtures in Pipeline Networks. International Journal of Hydrogen Energy.